diff --git a/README.md b/README.md index 69829d7..7657ded 100644 --- a/README.md +++ b/README.md @@ -33,7 +33,7 @@ This curated list contains 920 awesome open-source projects with a total of 4.6M - [Machine Learning Frameworks](#machine-learning-frameworks) _63 projects_ - [Data Visualization](#data-visualization) _54 projects_ -- [Text Data & NLP](#text-data--nlp) _102 projects_ +- [Text Data & NLP](#text-data--nlp) _103 projects_ - [Image Data](#image-data) _64 projects_ - [Graph Data](#graph-data) _36 projects_ - [Audio Data](#audio-data) _29 projects_ @@ -99,9 +99,9 @@ This curated list contains 920 awesome open-source projects with a total of 4.6M _General-purpose machine learning and deep learning frameworks._ -
PyTorch (πŸ₯‡56 Β· ⭐ 82K) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3 +
PyTorch (πŸ₯‡56 Β· ⭐ 83K) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3 -- [GitHub](https://github.com/pytorch/pytorch) (πŸ‘¨β€πŸ’» 5.1K Β· πŸ”€ 22K Β· πŸ“₯ 58K Β· πŸ“¦ 530K Β· πŸ“‹ 46K - 32% open Β· ⏱️ 26.09.2024): +- [GitHub](https://github.com/pytorch/pytorch) (πŸ‘¨β€πŸ’» 5.2K Β· πŸ”€ 22K Β· πŸ“₯ 59K Β· πŸ“¦ 540K Β· πŸ“‹ 47K - 32% open Β· ⏱️ 03.10.2024): ``` git clone https://github.com/pytorch/pytorch @@ -117,12 +117,12 @@ _General-purpose machine learning and deep learning frameworks._
Tensorflow (πŸ₯‡55 Β· ⭐ 190K) - An Open Source Machine Learning Framework for Everyone. Apache-2 -- [GitHub](https://github.com/tensorflow/tensorflow) (πŸ‘¨β€πŸ’» 4.7K Β· πŸ”€ 74K Β· πŸ“¦ 410K Β· πŸ“‹ 43K - 11% open Β· ⏱️ 26.09.2024): +- [GitHub](https://github.com/tensorflow/tensorflow) (πŸ‘¨β€πŸ’» 4.7K Β· πŸ”€ 74K Β· πŸ“¦ 410K Β· πŸ“‹ 43K - 11% open Β· ⏱️ 03.10.2024): ``` git clone https://github.com/tensorflow/tensorflow ``` -- [PyPi](https://pypi.org/project/tensorflow) (πŸ“₯ 18M / month Β· πŸ“¦ 7.9K Β· ⏱️ 11.07.2024): +- [PyPi](https://pypi.org/project/tensorflow) (πŸ“₯ 18M / month Β· πŸ“¦ 7.9K Β· ⏱️ 30.09.2024): ``` pip install tensorflow ``` @@ -130,19 +130,19 @@ _General-purpose machine learning and deep learning frameworks._ ``` conda install -c conda-forge tensorflow ``` -- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (πŸ“₯ 78M Β· ⭐ 2.6K Β· ⏱️ 26.09.2024): +- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (πŸ“₯ 78M Β· ⭐ 2.6K Β· ⏱️ 03.10.2024): ``` docker pull tensorflow/tensorflow ```
scikit-learn (πŸ₯‡52 Β· ⭐ 60K) - scikit-learn: machine learning in Python. BSD-3 -- [GitHub](https://github.com/scikit-learn/scikit-learn) (πŸ‘¨β€πŸ’» 3.2K Β· πŸ”€ 25K Β· πŸ“₯ 1K Β· πŸ“¦ 900K Β· πŸ“‹ 12K - 17% open Β· ⏱️ 23.09.2024): +- [GitHub](https://github.com/scikit-learn/scikit-learn) (πŸ‘¨β€πŸ’» 3.2K Β· πŸ”€ 25K Β· πŸ“₯ 1K Β· πŸ“¦ 900K Β· πŸ“‹ 12K - 18% open Β· ⏱️ 03.10.2024): ``` git clone https://github.com/scikit-learn/scikit-learn ``` -- [PyPi](https://pypi.org/project/scikit-learn) (πŸ“₯ 73M / month Β· πŸ“¦ 24K Β· ⏱️ 11.09.2024): +- [PyPi](https://pypi.org/project/scikit-learn) (πŸ“₯ 76M / month Β· πŸ“¦ 24K Β· ⏱️ 11.09.2024): ``` pip install scikit-learn ``` @@ -153,7 +153,7 @@ _General-purpose machine learning and deep learning frameworks._
Keras (πŸ₯‡48 Β· ⭐ 62K) - Deep Learning for humans. Apache-2 -- [GitHub](https://github.com/keras-team/keras) (πŸ‘¨β€πŸ’» 1.3K Β· πŸ”€ 19K Β· πŸ“‹ 12K - 2% open Β· ⏱️ 25.09.2024): +- [GitHub](https://github.com/keras-team/keras) (πŸ‘¨β€πŸ’» 1.3K Β· πŸ”€ 19K Β· πŸ“‹ 12K - 2% open Β· ⏱️ 02.10.2024): ``` git clone https://github.com/keras-team/keras @@ -162,63 +162,79 @@ _General-purpose machine learning and deep learning frameworks._ ``` pip install keras ``` -- [Conda](https://anaconda.org/conda-forge/keras): +- [Conda](https://anaconda.org/conda-forge/keras) (πŸ“₯ 3.7M Β· ⏱️ 17.08.2024): ``` conda install -c conda-forge keras ```
+
XGBoost (πŸ₯‡46 Β· ⭐ 26K Β· πŸ“ˆ) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT.. Apache-2 + +- [GitHub](https://github.com/dmlc/xgboost) (πŸ‘¨β€πŸ’» 650 Β· πŸ”€ 8.7K Β· πŸ“₯ 11K Β· πŸ“¦ 110K Β· πŸ“‹ 5.3K - 8% open Β· ⏱️ 30.09.2024): + + ``` + git clone https://github.com/dmlc/xgboost + ``` +- [PyPi](https://pypi.org/project/xgboost) (πŸ“₯ 25M / month Β· πŸ“¦ 2K Β· ⏱️ 31.07.2024): + ``` + pip install xgboost + ``` +- [Conda](https://anaconda.org/conda-forge/xgboost) (πŸ“₯ 5.3M Β· ⏱️ 29.09.2024): + ``` + conda install -c conda-forge xgboost + ``` +
PaddlePaddle (πŸ₯‡46 Β· ⭐ 22K) - PArallel Distributed Deep LEarning: Machine Learning.. Apache-2 -- [GitHub](https://github.com/PaddlePaddle/Paddle) (πŸ‘¨β€πŸ’» 1.3K Β· πŸ”€ 5.5K Β· πŸ“₯ 15K Β· πŸ“¦ 5.9K Β· πŸ“‹ 19K - 9% open Β· ⏱️ 26.09.2024): +- [GitHub](https://github.com/PaddlePaddle/Paddle) (πŸ‘¨β€πŸ’» 1.3K Β· πŸ”€ 5.6K Β· πŸ“₯ 15K Β· πŸ“¦ 6K Β· πŸ“‹ 19K - 9% open Β· ⏱️ 01.10.2024): ``` git clone https://github.com/PaddlePaddle/Paddle ``` -- [PyPi](https://pypi.org/project/paddlepaddle) (πŸ“₯ 580K / month Β· πŸ“¦ 180 Β· ⏱️ 13.09.2024): +- [PyPi](https://pypi.org/project/paddlepaddle) (πŸ“₯ 480K / month Β· πŸ“¦ 180 Β· ⏱️ 13.09.2024): ``` pip install paddlepaddle ```
-
jax (πŸ₯‡45 Β· ⭐ 30K) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2 +
PySpark (πŸ₯‡45 Β· ⭐ 39K Β· πŸ“ˆ) - Apache Spark Python API. Apache-2 -- [GitHub](https://github.com/jax-ml/jax) (πŸ‘¨β€πŸ’» 760 Β· πŸ”€ 2.7K Β· πŸ“¦ 30K Β· πŸ“‹ 5.6K - 24% open Β· ⏱️ 26.09.2024): +- [GitHub](https://github.com/apache/spark) (πŸ‘¨β€πŸ’» 3.1K Β· πŸ”€ 28K Β· ⏱️ 03.10.2024): ``` - git clone https://github.com/google/jax + git clone https://github.com/apache/spark ``` -- [PyPi](https://pypi.org/project/jax) (πŸ“₯ 3.7M / month Β· πŸ“¦ 1.8K Β· ⏱️ 16.09.2024): +- [PyPi](https://pypi.org/project/pyspark) (πŸ“₯ 30M / month Β· πŸ“¦ 1.5K Β· ⏱️ 27.09.2024): ``` - pip install jax + pip install pyspark ``` -- [Conda](https://anaconda.org/conda-forge/jaxlib) (πŸ“₯ 1.7M Β· ⏱️ 31.08.2024): +- [Conda](https://anaconda.org/conda-forge/pyspark) (πŸ“₯ 3.4M Β· ⏱️ 03.03.2024): ``` - conda install -c conda-forge jaxlib + conda install -c conda-forge pyspark ```
-
XGBoost (πŸ₯‡45 Β· ⭐ 26K) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or.. Apache-2 +
jax (πŸ₯‡45 Β· ⭐ 30K) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2 -- [GitHub](https://github.com/dmlc/xgboost) (πŸ‘¨β€πŸ’» 650 Β· πŸ”€ 8.7K Β· πŸ“₯ 11K Β· πŸ“¦ 110K Β· πŸ“‹ 5.4K - 8% open Β· ⏱️ 25.09.2024): +- [GitHub](https://github.com/jax-ml/jax) (πŸ‘¨β€πŸ’» 760 Β· πŸ”€ 2.7K Β· πŸ“¦ 31K Β· πŸ“‹ 5.6K - 24% open Β· ⏱️ 03.10.2024): ``` - git clone https://github.com/dmlc/xgboost + git clone https://github.com/google/jax ``` -- [PyPi](https://pypi.org/project/xgboost) (πŸ“₯ 22M / month Β· πŸ“¦ 2K Β· ⏱️ 31.07.2024): +- [PyPi](https://pypi.org/project/jax) (πŸ“₯ 3.8M / month Β· πŸ“¦ 1.8K Β· ⏱️ 16.09.2024): ``` - pip install xgboost + pip install jax ``` -- [Conda](https://anaconda.org/conda-forge/xgboost) (πŸ“₯ 5.3M Β· ⏱️ 25.09.2024): +- [Conda](https://anaconda.org/conda-forge/jaxlib) (πŸ“₯ 1.7M Β· ⏱️ 02.10.2024): ``` - conda install -c conda-forge xgboost + conda install -c conda-forge jaxlib ```
StatsModels (πŸ₯‡45 Β· ⭐ 10K) - Statsmodels: statistical modeling and econometrics in Python. BSD-3 -- [GitHub](https://github.com/statsmodels/statsmodels) (πŸ‘¨β€πŸ’» 440 Β· πŸ”€ 2.9K Β· πŸ“₯ 34 Β· πŸ“¦ 140K Β· πŸ“‹ 5.6K - 50% open Β· ⏱️ 15.09.2024): +- [GitHub](https://github.com/statsmodels/statsmodels) (πŸ‘¨β€πŸ’» 440 Β· πŸ”€ 2.9K Β· πŸ“₯ 34 Β· πŸ“¦ 140K Β· πŸ“‹ 5.6K - 50% open Β· ⏱️ 02.10.2024): ``` git clone https://github.com/statsmodels/statsmodels ``` -- [PyPi](https://pypi.org/project/statsmodels) (πŸ“₯ 17M / month Β· πŸ“¦ 4.4K Β· ⏱️ 16.09.2024): +- [PyPi](https://pypi.org/project/statsmodels) (πŸ“₯ 17M / month Β· πŸ“¦ 4.5K Β· ⏱️ 16.09.2024): ``` pip install statsmodels ``` @@ -227,30 +243,14 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge statsmodels ```
-
PySpark (πŸ₯ˆ44 Β· ⭐ 39K) - Apache Spark Python API. Apache-2 - -- [GitHub](https://github.com/apache/spark) (πŸ‘¨β€πŸ’» 3.1K Β· πŸ”€ 28K Β· ⏱️ 26.09.2024): - - ``` - git clone https://github.com/apache/spark - ``` -- [PyPi](https://pypi.org/project/pyspark) (πŸ“₯ 30M / month Β· πŸ“¦ 1.5K Β· ⏱️ 24.09.2024): - ``` - pip install pyspark - ``` -- [Conda](https://anaconda.org/conda-forge/pyspark) (πŸ“₯ 3.4M Β· ⏱️ 03.03.2024): - ``` - conda install -c conda-forge pyspark - ``` -
pytorch-lightning (πŸ₯ˆ44 Β· ⭐ 28K) - Pretrain, finetune and deploy AI models on multiple.. Apache-2 -- [GitHub](https://github.com/Lightning-AI/pytorch-lightning) (πŸ‘¨β€πŸ’» 970 Β· πŸ”€ 3.4K Β· πŸ“₯ 9.1K Β· πŸ“¦ 37K Β· πŸ“‹ 7.1K - 10% open Β· ⏱️ 26.09.2024): +- [GitHub](https://github.com/Lightning-AI/pytorch-lightning) (πŸ‘¨β€πŸ’» 970 Β· πŸ”€ 3.4K Β· πŸ“₯ 9.1K Β· πŸ“¦ 37K Β· πŸ“‹ 7.1K - 10% open Β· ⏱️ 02.10.2024): ``` git clone https://github.com/Lightning-AI/lightning ``` -- [PyPi](https://pypi.org/project/pytorch-lightning) (πŸ“₯ 6.8M / month Β· πŸ“¦ 1.4K Β· ⏱️ 07.08.2024): +- [PyPi](https://pypi.org/project/pytorch-lightning) (πŸ“₯ 6.9M / month Β· πŸ“¦ 1.4K Β· ⏱️ 07.08.2024): ``` pip install pytorch-lightning ``` @@ -261,12 +261,12 @@ _General-purpose machine learning and deep learning frameworks._
LightGBM (πŸ₯ˆ43 Β· ⭐ 17K) - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT,.. MIT -- [GitHub](https://github.com/microsoft/LightGBM) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 3.8K Β· πŸ“₯ 240K Β· πŸ“¦ 38K Β· πŸ“‹ 3.4K - 10% open Β· ⏱️ 26.09.2024): +- [GitHub](https://github.com/microsoft/LightGBM) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 3.8K Β· πŸ“₯ 240K Β· πŸ“¦ 38K Β· πŸ“‹ 3.4K - 10% open Β· ⏱️ 02.10.2024): ``` git clone https://github.com/microsoft/LightGBM ``` -- [PyPi](https://pypi.org/project/lightgbm) (πŸ“₯ 9.9M / month Β· πŸ“¦ 1.1K Β· ⏱️ 26.07.2024): +- [PyPi](https://pypi.org/project/lightgbm) (πŸ“₯ 9.8M / month Β· πŸ“¦ 1.1K Β· ⏱️ 26.07.2024): ``` pip install lightgbm ``` @@ -275,9 +275,9 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge lightgbm ```
-
Catboost (πŸ₯ˆ42 Β· ⭐ 8K Β· πŸ“ˆ) - A fast, scalable, high performance Gradient Boosting on Decision.. Apache-2 +
Catboost (πŸ₯ˆ42 Β· ⭐ 8K) - A fast, scalable, high performance Gradient Boosting on Decision.. Apache-2 -- [GitHub](https://github.com/catboost/catboost) (πŸ‘¨β€πŸ’» 1.3K Β· πŸ”€ 1.2K Β· πŸ“₯ 310K Β· πŸ“¦ 15 Β· πŸ“‹ 2.3K - 23% open Β· ⏱️ 26.09.2024): +- [GitHub](https://github.com/catboost/catboost) (πŸ‘¨β€πŸ’» 1.3K Β· πŸ”€ 1.2K Β· πŸ“₯ 310K Β· πŸ“¦ 15 Β· πŸ“‹ 2.3K - 23% open Β· ⏱️ 03.10.2024): ``` git clone https://github.com/catboost/catboost @@ -298,19 +298,19 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/fastai/fastai ``` -- [PyPi](https://pypi.org/project/fastai) (πŸ“₯ 360K / month Β· πŸ“¦ 300 Β· ⏱️ 27.08.2024): +- [PyPi](https://pypi.org/project/fastai) (πŸ“₯ 370K / month Β· πŸ“¦ 300 Β· ⏱️ 27.08.2024): ``` pip install fastai ```
-
Jina (πŸ₯ˆ40 Β· ⭐ 21K Β· πŸ“ˆ) - Build multimodal AI applications with cloud-native stack. Apache-2 +
Jina (πŸ₯ˆ40 Β· ⭐ 21K) - Build multimodal AI applications with cloud-native stack. Apache-2 -- [GitHub](https://github.com/jina-ai/jina) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 2.2K Β· πŸ“¦ 1.8K Β· πŸ“‹ 2K - 1% open Β· ⏱️ 25.09.2024): +- [GitHub](https://github.com/jina-ai/jina) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 2.2K Β· πŸ“¦ 1.8K Β· πŸ“‹ 2K - 1% open Β· ⏱️ 01.10.2024): ``` git clone https://github.com/jina-ai/jina ``` -- [PyPi](https://pypi.org/project/jina) (πŸ“₯ 83K / month Β· πŸ“¦ 27 Β· ⏱️ 25.09.2024): +- [PyPi](https://pypi.org/project/jina) (πŸ“₯ 94K / month Β· πŸ“¦ 27 Β· ⏱️ 01.10.2024): ``` pip install jina ``` @@ -318,19 +318,19 @@ _General-purpose machine learning and deep learning frameworks._ ``` conda install -c conda-forge jina-core ``` -- [Docker Hub](https://hub.docker.com/r/jinaai/jina) (πŸ“₯ 1.7M Β· ⭐ 8 Β· ⏱️ 25.09.2024): +- [Docker Hub](https://hub.docker.com/r/jinaai/jina) (πŸ“₯ 1.7M Β· ⭐ 8 Β· ⏱️ 01.10.2024): ``` docker pull jinaai/jina ```
PyFlink (πŸ₯ˆ38 Β· ⭐ 24K) - Apache Flink Python API. Apache-2 -- [GitHub](https://github.com/apache/flink) (πŸ‘¨β€πŸ’» 1.9K Β· πŸ”€ 13K Β· πŸ“¦ 21 Β· ⏱️ 26.09.2024): +- [GitHub](https://github.com/apache/flink) (πŸ‘¨β€πŸ’» 1.9K Β· πŸ”€ 13K Β· πŸ“¦ 21 Β· ⏱️ 03.10.2024): ``` git clone https://github.com/apache/flink ``` -- [PyPi](https://pypi.org/project/apache-flink) (πŸ“₯ 200K / month Β· πŸ“¦ 35 Β· ⏱️ 01.08.2024): +- [PyPi](https://pypi.org/project/apache-flink) (πŸ“₯ 210K / month Β· πŸ“¦ 35 Β· ⏱️ 01.08.2024): ``` pip install apache-flink ``` @@ -342,7 +342,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/Theano/Theano ``` -- [PyPi](https://pypi.org/project/theano) (πŸ“₯ 92K / month Β· πŸ“¦ 170 Β· ⏱️ 27.07.2020): +- [PyPi](https://pypi.org/project/theano) (πŸ“₯ 93K / month Β· πŸ“¦ 170 Β· ⏱️ 27.07.2020): ``` pip install theano ``` @@ -353,28 +353,28 @@ _General-purpose machine learning and deep learning frameworks._
Flax (πŸ₯ˆ37 Β· ⭐ 6K) - Flax is a neural network library for JAX that is designed for.. Apache-2 -- [GitHub](https://github.com/google/flax) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 620 Β· πŸ“₯ 54 Β· πŸ“¦ 9.3K Β· πŸ“‹ 990 - 26% open Β· ⏱️ 24.09.2024): +- [GitHub](https://github.com/google/flax) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 620 Β· πŸ“₯ 54 Β· πŸ“¦ 9.4K Β· πŸ“‹ 990 - 26% open Β· ⏱️ 02.10.2024): ``` git clone https://github.com/google/flax ``` -- [PyPi](https://pypi.org/project/flax) (πŸ“₯ 760K / month Β· πŸ“¦ 460 Β· ⏱️ 27.08.2024): +- [PyPi](https://pypi.org/project/flax) (πŸ“₯ 790K / month Β· πŸ“¦ 470 Β· ⏱️ 27.08.2024): ``` pip install flax ``` -- [Conda](https://anaconda.org/conda-forge/flax) (πŸ“₯ 71K Β· ⏱️ 27.08.2024): +- [Conda](https://anaconda.org/conda-forge/flax) (πŸ“₯ 72K Β· ⏱️ 27.08.2024): ``` conda install -c conda-forge flax ```
ivy (πŸ₯ˆ36 Β· ⭐ 14K) - Convert Machine Learning Code Between Frameworks. Apache-2 -- [GitHub](https://github.com/ivy-llc/ivy) (πŸ‘¨β€πŸ’» 1.5K Β· πŸ”€ 5.8K Β· πŸ“‹ 17K - 5% open Β· ⏱️ 26.09.2024): +- [GitHub](https://github.com/ivy-llc/ivy) (πŸ‘¨β€πŸ’» 1.5K Β· πŸ”€ 5.8K Β· πŸ“‹ 17K - 5% open Β· ⏱️ 03.10.2024): ``` git clone https://github.com/unifyai/ivy ``` -- [PyPi](https://pypi.org/project/ivy) (πŸ“₯ 2.8K / month Β· πŸ“¦ 12 Β· ⏱️ 25.09.2024): +- [PyPi](https://pypi.org/project/ivy) (πŸ“₯ 3.3K / month Β· πŸ“¦ 12 Β· ⏱️ 25.09.2024): ``` pip install ivy ``` @@ -386,7 +386,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/arogozhnikov/einops ``` -- [PyPi](https://pypi.org/project/einops) (πŸ“₯ 5M / month Β· πŸ“¦ 2K Β· ⏱️ 28.04.2024): +- [PyPi](https://pypi.org/project/einops) (πŸ“₯ 5.1M / month Β· πŸ“¦ 2K Β· ⏱️ 28.04.2024): ``` pip install einops ``` @@ -397,12 +397,12 @@ _General-purpose machine learning and deep learning frameworks._
Thinc (πŸ₯ˆ36 Β· ⭐ 2.8K) - A refreshing functional take on deep learning, compatible with your favorite.. MIT -- [GitHub](https://github.com/explosion/thinc) (πŸ‘¨β€πŸ’» 63 Β· πŸ”€ 280 Β· πŸ“₯ 300 Β· πŸ“¦ 53K Β· πŸ“‹ 150 - 12% open Β· ⏱️ 12.09.2024): +- [GitHub](https://github.com/explosion/thinc) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 280 Β· πŸ“₯ 380 Β· πŸ“¦ 54K Β· πŸ“‹ 150 - 12% open Β· ⏱️ 30.09.2024): ``` git clone https://github.com/explosion/thinc ``` -- [PyPi](https://pypi.org/project/thinc) (πŸ“₯ 11M / month Β· πŸ“¦ 140 Β· ⏱️ 12.09.2024): +- [PyPi](https://pypi.org/project/thinc) (πŸ“₯ 11M / month Β· πŸ“¦ 140 Β· ⏱️ 01.10.2024): ``` pip install thinc ``` @@ -413,12 +413,12 @@ _General-purpose machine learning and deep learning frameworks._
mlpack (πŸ₯ˆ35 Β· ⭐ 5K) - mlpack: a fast, header-only C++ machine learning library. BSD-3 -- [GitHub](https://github.com/mlpack/mlpack) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 1.6K Β· πŸ“‹ 1.6K - 1% open Β· ⏱️ 23.09.2024): +- [GitHub](https://github.com/mlpack/mlpack) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 1.6K Β· πŸ“‹ 1.6K - 1% open Β· ⏱️ 02.10.2024): ``` git clone https://github.com/mlpack/mlpack ``` -- [PyPi](https://pypi.org/project/mlpack) (πŸ“₯ 4.5K / month Β· πŸ“¦ 4 Β· ⏱️ 20.09.2024): +- [PyPi](https://pypi.org/project/mlpack) (πŸ“₯ 6.1K / month Β· πŸ“¦ 4 Β· ⏱️ 20.09.2024): ``` pip install mlpack ``` @@ -429,12 +429,12 @@ _General-purpose machine learning and deep learning frameworks._
Ignite (πŸ₯ˆ35 Β· ⭐ 4.5K) - High-level library to help with training and evaluating neural.. BSD-3 -- [GitHub](https://github.com/pytorch/ignite) (πŸ‘¨β€πŸ’» 640 Β· πŸ”€ 610 Β· πŸ“¦ 3.2K Β· πŸ“‹ 1.4K - 10% open Β· ⏱️ 14.09.2024): +- [GitHub](https://github.com/pytorch/ignite) (πŸ‘¨β€πŸ’» 650 Β· πŸ”€ 610 Β· πŸ“¦ 3.2K Β· πŸ“‹ 1.4K - 10% open Β· ⏱️ 02.10.2024): ``` git clone https://github.com/pytorch/ignite ``` -- [PyPi](https://pypi.org/project/pytorch-ignite) (πŸ“₯ 160K / month Β· πŸ“¦ 95 Β· ⏱️ 26.09.2024): +- [PyPi](https://pypi.org/project/pytorch-ignite) (πŸ“₯ 160K / month Β· πŸ“¦ 95 Β· ⏱️ 03.10.2024): ``` pip install pytorch-ignite ``` @@ -450,7 +450,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/VowpalWabbit/vowpal_wabbit ``` -- [PyPi](https://pypi.org/project/vowpalwabbit) (πŸ“₯ 46K / month Β· πŸ“¦ 40 Β· ⏱️ 08.08.2024): +- [PyPi](https://pypi.org/project/vowpalwabbit) (πŸ“₯ 51K / month Β· πŸ“¦ 40 Β· ⏱️ 08.08.2024): ``` pip install vowpalwabbit ``` @@ -466,7 +466,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/ludwig-ai/ludwig ``` -- [PyPi](https://pypi.org/project/ludwig) (πŸ“₯ 4.1K / month Β· πŸ“¦ 6 Β· ⏱️ 30.07.2024): +- [PyPi](https://pypi.org/project/ludwig) (πŸ“₯ 4.2K / month Β· πŸ“¦ 6 Β· ⏱️ 30.07.2024): ``` pip install ludwig ``` @@ -517,24 +517,24 @@ _General-purpose machine learning and deep learning frameworks._
Determined (πŸ₯‰31 Β· ⭐ 3K) - Determined is an open-source machine learning platform.. Apache-2 -- [GitHub](https://github.com/determined-ai/determined) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 350 Β· πŸ“₯ 12K Β· πŸ“‹ 460 - 23% open Β· ⏱️ 25.09.2024): +- [GitHub](https://github.com/determined-ai/determined) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 350 Β· πŸ“₯ 12K Β· πŸ“‹ 460 - 23% open Β· ⏱️ 02.10.2024): ``` git clone https://github.com/determined-ai/determined ``` -- [PyPi](https://pypi.org/project/determined) (πŸ“₯ 20K / month Β· πŸ“¦ 4 Β· ⏱️ 25.09.2024): +- [PyPi](https://pypi.org/project/determined) (πŸ“₯ 22K / month Β· πŸ“¦ 4 Β· ⏱️ 30.09.2024): ``` pip install determined ```
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tensorflow-upstream (πŸ₯‰31 Β· ⭐ 690) - TensorFlow ROCm port. Apache-2 +
tensorflow-upstream (πŸ₯‰31 Β· ⭐ 680) - TensorFlow ROCm port. Apache-2 -- [GitHub](https://github.com/ROCm/tensorflow-upstream) (πŸ‘¨β€πŸ’» 4.7K Β· πŸ”€ 93 Β· πŸ“₯ 24 Β· πŸ“‹ 380 - 23% open Β· ⏱️ 26.09.2024): +- [GitHub](https://github.com/ROCm/tensorflow-upstream) (πŸ‘¨β€πŸ’» 4.7K Β· πŸ”€ 93 Β· πŸ“₯ 24 Β· πŸ“‹ 380 - 24% open Β· ⏱️ 01.10.2024): ``` git clone https://github.com/ROCmSoftwarePlatform/tensorflow-upstream ``` -- [PyPi](https://pypi.org/project/tensorflow-rocm) (πŸ“₯ 4.1K / month Β· πŸ“¦ 9 Β· ⏱️ 10.01.2024): +- [PyPi](https://pypi.org/project/tensorflow-rocm) (πŸ“₯ 5.4K / month Β· πŸ“¦ 9 Β· ⏱️ 10.01.2024): ``` pip install tensorflow-rocm ``` @@ -546,7 +546,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/deepmind/dm-haiku ``` -- [PyPi](https://pypi.org/project/dm-haiku) (πŸ“₯ 230K / month Β· πŸ“¦ 170 Β· ⏱️ 28.02.2024): +- [PyPi](https://pypi.org/project/dm-haiku) (πŸ“₯ 240K / month Β· πŸ“¦ 170 Β· ⏱️ 28.02.2024): ``` pip install dm-haiku ``` @@ -562,11 +562,11 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/geomstats/geomstats ``` -- [PyPi](https://pypi.org/project/geomstats) (πŸ“₯ 3.2K / month Β· πŸ“¦ 12 Β· ⏱️ 09.09.2024): +- [PyPi](https://pypi.org/project/geomstats) (πŸ“₯ 3.4K / month Β· πŸ“¦ 12 Β· ⏱️ 09.09.2024): ``` pip install geomstats ``` -- [Conda](https://anaconda.org/conda-forge/geomstats) (πŸ“₯ 3.6K Β· ⏱️ 10.09.2024): +- [Conda](https://anaconda.org/conda-forge/geomstats) (πŸ“₯ 3.7K Β· ⏱️ 10.09.2024): ``` conda install -c conda-forge geomstats ``` @@ -578,7 +578,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/sony/nnabla ``` -- [PyPi](https://pypi.org/project/nnabla) (πŸ“₯ 3.6K / month Β· πŸ“¦ 44 Β· ⏱️ 29.05.2024): +- [PyPi](https://pypi.org/project/nnabla) (πŸ“₯ 4.3K / month Β· πŸ“¦ 44 Β· ⏱️ 29.05.2024): ``` pip install nnabla ``` @@ -590,19 +590,19 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/amaiya/ktrain ``` -- [PyPi](https://pypi.org/project/ktrain) (πŸ“₯ 8.9K / month Β· πŸ“¦ 4 Β· ⏱️ 19.06.2024): +- [PyPi](https://pypi.org/project/ktrain) (πŸ“₯ 10K / month Β· πŸ“¦ 4 Β· ⏱️ 19.06.2024): ``` pip install ktrain ```
EvaDB (πŸ₯‰27 Β· ⭐ 2.6K Β· πŸ’€) - Database system for AI-powered apps. Apache-2 -- [GitHub](https://github.com/georgia-tech-db/evadb) (πŸ‘¨β€πŸ’» 73 Β· πŸ”€ 260 Β· πŸ“₯ 410K Β· πŸ“¦ 150 Β· πŸ“‹ 300 - 25% open Β· ⏱️ 03.12.2023): +- [GitHub](https://github.com/georgia-tech-db/evadb) (πŸ‘¨β€πŸ’» 73 Β· πŸ”€ 260 Β· πŸ“₯ 420K Β· πŸ“¦ 150 Β· πŸ“‹ 300 - 25% open Β· ⏱️ 03.12.2023): ``` git clone https://github.com/georgia-tech-db/eva ``` -- [PyPi](https://pypi.org/project/evadb) (πŸ“₯ 500 / month Β· ⏱️ 19.11.2023): +- [PyPi](https://pypi.org/project/evadb) (πŸ“₯ 700 / month Β· ⏱️ 19.11.2023): ``` pip install evadb ``` @@ -614,7 +614,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/shogun-toolbox/shogun ``` -- [Conda](https://anaconda.org/conda-forge/shogun) (πŸ“₯ 140K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/shogun) (πŸ“₯ 150K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge shogun ``` @@ -623,18 +623,18 @@ _General-purpose machine learning and deep learning frameworks._ docker pull shogun/shogun ```
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pyRiemann (πŸ₯‰26 Β· ⭐ 620) - Machine learning for multivariate data through the Riemannian.. BSD-3 +
pyRiemann (πŸ₯‰25 Β· ⭐ 620) - Machine learning for multivariate data through the Riemannian.. BSD-3 -- [GitHub](https://github.com/pyRiemann/pyRiemann) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 160 Β· πŸ“¦ 390 Β· πŸ“‹ 110 - 3% open Β· ⏱️ 07.09.2024): +- [GitHub](https://github.com/pyRiemann/pyRiemann) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 160 Β· πŸ“¦ 390 Β· πŸ“‹ 110 - 3% open Β· ⏱️ 03.10.2024): ``` git clone https://github.com/pyRiemann/pyRiemann ``` -- [PyPi](https://pypi.org/project/pyriemann) (πŸ“₯ 30K / month Β· πŸ“¦ 28 Β· ⏱️ 10.04.2024): +- [PyPi](https://pypi.org/project/pyriemann) (πŸ“₯ 34K / month Β· πŸ“¦ 28 Β· ⏱️ 10.04.2024): ``` pip install pyriemann ``` -- [Conda](https://anaconda.org/conda-forge/pyriemann) (πŸ“₯ 7.9K Β· ⏱️ 10.04.2024): +- [Conda](https://anaconda.org/conda-forge/pyriemann) (πŸ“₯ 8K Β· ⏱️ 10.04.2024): ``` conda install -c conda-forge pyriemann ``` @@ -651,7 +651,7 @@ _General-purpose machine learning and deep learning frameworks._ pip install towhee ```
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Neural Tangents (πŸ₯‰24 Β· ⭐ 2.3K) - Fast and Easy Infinite Neural Networks in Python. Apache-2 +
Neural Tangents (πŸ₯‰24 Β· ⭐ 2.3K Β· πŸ’€) - Fast and Easy Infinite Neural Networks in Python. Apache-2 - [GitHub](https://github.com/google/neural-tangents) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 240 Β· πŸ“₯ 500 Β· πŸ“¦ 110 Β· πŸ“‹ 160 - 38% open Β· ⏱️ 01.03.2024): @@ -670,31 +670,31 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/nubank/fklearn ``` -- [PyPi](https://pypi.org/project/fklearn) (πŸ“₯ 1.9K / month Β· ⏱️ 14.08.2024): +- [PyPi](https://pypi.org/project/fklearn) (πŸ“₯ 2K / month Β· ⏱️ 14.08.2024): ``` pip install fklearn ```
Runhouse (πŸ₯‰24 Β· ⭐ 960) - Dispatch and distribute your ML training to serverless clusters in.. Apache-2 -- [GitHub](https://github.com/run-house/runhouse) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 35 Β· πŸ“₯ 44 Β· πŸ“‹ 51 - 17% open Β· ⏱️ 25.09.2024): +- [GitHub](https://github.com/run-house/runhouse) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 35 Β· πŸ“₯ 44 Β· πŸ“‹ 51 - 17% open Β· ⏱️ 29.09.2024): ``` git clone https://github.com/run-house/runhouse ``` -- [PyPi](https://pypi.org/project/runhouse) (πŸ“₯ 35K / month Β· πŸ“¦ 1 Β· ⏱️ 18.09.2024): +- [PyPi](https://pypi.org/project/runhouse) (πŸ“₯ 27K / month Β· πŸ“¦ 1 Β· ⏱️ 18.09.2024): ``` pip install runhouse ```
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NeoML (πŸ₯‰22 Β· ⭐ 760) - Machine learning framework for both deep learning and traditional.. Apache-2 +
NeoML (πŸ₯‰23 Β· ⭐ 770) - Machine learning framework for both deep learning and traditional.. Apache-2 -- [GitHub](https://github.com/neoml-lib/neoml) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 120 Β· πŸ“¦ 1 Β· πŸ“‹ 91 - 40% open Β· ⏱️ 20.09.2024): +- [GitHub](https://github.com/neoml-lib/neoml) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 130 Β· πŸ“¦ 1 Β· πŸ“‹ 91 - 40% open Β· ⏱️ 30.09.2024): ``` git clone https://github.com/neoml-lib/neoml ``` -- [PyPi](https://pypi.org/project/neoml) (πŸ“₯ 1.1K / month Β· ⏱️ 26.12.2023): +- [PyPi](https://pypi.org/project/neoml) (πŸ“₯ 1.2K / month Β· ⏱️ 26.12.2023): ``` pip install neoml ``` @@ -706,12 +706,12 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/serengil/chefboost ``` -- [PyPi](https://pypi.org/project/chefboost) (πŸ“₯ 4.3K / month Β· ⏱️ 08.06.2024): +- [PyPi](https://pypi.org/project/chefboost) (πŸ“₯ 4K / month Β· ⏱️ 08.06.2024): ``` pip install chefboost ```
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mace (πŸ₯‰21 Β· ⭐ 4.9K) - MACE is a deep learning inference framework optimized for mobile.. Apache-2 +
mace (πŸ₯‰21 Β· ⭐ 4.9K Β· πŸ’€) - MACE is a deep learning inference framework optimized for mobile.. Apache-2 - [GitHub](https://github.com/XiaoMi/mace) (πŸ‘¨β€πŸ’» 69 Β· πŸ”€ 820 Β· πŸ“₯ 1.5K Β· πŸ“‹ 680 - 8% open Β· ⏱️ 11.03.2024): @@ -726,31 +726,31 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/Xtra-Computing/thundersvm ``` -- [PyPi](https://pypi.org/project/thundersvm) (πŸ“₯ 820 / month Β· ⏱️ 13.03.2020): +- [PyPi](https://pypi.org/project/thundersvm) (πŸ“₯ 930 / month Β· ⏱️ 13.03.2020): ``` pip install thundersvm ```
Objax (πŸ₯‰21 Β· ⭐ 770 Β· πŸ’€) - Objax is a machine learning framework that provides an Object.. Apache-2 -- [GitHub](https://github.com/google/objax) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 78 Β· πŸ“¦ 55 Β· πŸ“‹ 110 - 45% open Β· ⏱️ 27.01.2024): +- [GitHub](https://github.com/google/objax) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 78 Β· πŸ“¦ 56 Β· πŸ“‹ 110 - 45% open Β· ⏱️ 27.01.2024): ``` git clone https://github.com/google/objax ``` -- [PyPi](https://pypi.org/project/objax) (πŸ“₯ 570 / month Β· πŸ“¦ 4 Β· ⏱️ 06.11.2023): +- [PyPi](https://pypi.org/project/objax) (πŸ“₯ 630 / month Β· πŸ“¦ 4 Β· ⏱️ 06.11.2023): ``` pip install objax ```
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Torchbearer (πŸ₯‰21 Β· ⭐ 630 Β· πŸ’€) - torchbearer: A model fitting library for PyTorch. MIT +
Torchbearer (πŸ₯‰21 Β· ⭐ 640 Β· πŸ’€) - torchbearer: A model fitting library for PyTorch. MIT - [GitHub](https://github.com/pytorchbearer/torchbearer) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 68 Β· πŸ“¦ 90 Β· πŸ“‹ 250 - 4% open Β· ⏱️ 04.12.2023): ``` git clone https://github.com/pytorchbearer/torchbearer ``` -- [PyPi](https://pypi.org/project/torchbearer) (πŸ“₯ 800 / month Β· πŸ“¦ 4 Β· ⏱️ 01.12.2023): +- [PyPi](https://pypi.org/project/torchbearer) (πŸ“₯ 1K / month Β· πŸ“¦ 4 Β· ⏱️ 01.12.2023): ``` pip install torchbearer ``` @@ -762,7 +762,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/Xtra-Computing/thundergbm ``` -- [PyPi](https://pypi.org/project/thundergbm) (πŸ“₯ 480 / month Β· ⏱️ 19.09.2022): +- [PyPi](https://pypi.org/project/thundergbm) (πŸ“₯ 690 / month Β· ⏱️ 19.09.2022): ``` pip install thundergbm ``` @@ -776,7 +776,7 @@ _General-purpose machine learning and deep learning frameworks._ - Turi Create (πŸ₯‰32 Β· ⭐ 11K Β· πŸ’€) - Turi Create simplifies the development of custom machine.. BSD-3 - tensorpack (πŸ₯‰32 Β· ⭐ 6.3K Β· πŸ’€) - A Neural Net Training Interface on TensorFlow, with.. Apache-2 - TFlearn (πŸ₯‰31 Β· ⭐ 9.6K Β· πŸ’€) - Deep learning library featuring a higher-level API for TensorFlow. MIT -- CNTK (πŸ₯‰29 Β· ⭐ 18K Β· πŸ’€) - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit. MIT +- CNTK (πŸ₯‰30 Β· ⭐ 18K Β· πŸ’€) - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit. MIT - Lasagne (πŸ₯‰28 Β· ⭐ 3.8K Β· πŸ’€) - Lightweight library to build and train neural networks in Theano. MIT - NuPIC (πŸ₯‰27 Β· ⭐ 6.3K Β· πŸ’€) - Numenta Platform for Intelligent Computing is an implementation.. ❗️AGPL-3.0 - neon (πŸ₯‰24 Β· ⭐ 3.9K Β· πŸ’€) - Intel Nervana reference deep learning framework committed to best.. Apache-2 @@ -796,12 +796,12 @@ _General-purpose and task-specific data visualization libraries._
Matplotlib (πŸ₯‡48 Β· ⭐ 20K) - matplotlib: plotting with Python. ❗Unlicensed -- [GitHub](https://github.com/matplotlib/matplotlib) (πŸ‘¨β€πŸ’» 1.7K Β· πŸ”€ 7.6K Β· πŸ“¦ 1.3M Β· πŸ“‹ 11K - 14% open Β· ⏱️ 26.09.2024): +- [GitHub](https://github.com/matplotlib/matplotlib) (πŸ‘¨β€πŸ’» 1.7K Β· πŸ”€ 7.6K Β· πŸ“¦ 1.4M Β· πŸ“‹ 11K - 14% open Β· ⏱️ 02.10.2024): ``` git clone https://github.com/matplotlib/matplotlib ``` -- [PyPi](https://pypi.org/project/matplotlib) (πŸ“₯ 76M / month Β· πŸ“¦ 50K Β· ⏱️ 13.08.2024): +- [PyPi](https://pypi.org/project/matplotlib) (πŸ“₯ 80M / month Β· πŸ“¦ 50K Β· ⏱️ 13.08.2024): ``` pip install matplotlib ``` @@ -812,16 +812,16 @@ _General-purpose and task-specific data visualization libraries._
Bokeh (πŸ₯‡45 Β· ⭐ 19K) - Interactive Data Visualization in the browser, from Python. BSD-3 -- [GitHub](https://github.com/bokeh/bokeh) (πŸ‘¨β€πŸ’» 700 Β· πŸ”€ 4.2K Β· πŸ“¦ 93K Β· πŸ“‹ 7.7K - 9% open Β· ⏱️ 25.09.2024): +- [GitHub](https://github.com/bokeh/bokeh) (πŸ‘¨β€πŸ’» 700 Β· πŸ”€ 4.2K Β· πŸ“¦ 93K Β· πŸ“‹ 7.7K - 9% open Β· ⏱️ 02.10.2024): ``` git clone https://github.com/bokeh/bokeh ``` -- [PyPi](https://pypi.org/project/bokeh) (πŸ“₯ 4.3M / month Β· πŸ“¦ 1.7K Β· ⏱️ 25.09.2024): +- [PyPi](https://pypi.org/project/bokeh) (πŸ“₯ 4.4M / month Β· πŸ“¦ 1.7K Β· ⏱️ 26.09.2024): ``` pip install bokeh ``` -- [Conda](https://anaconda.org/conda-forge/bokeh) (πŸ“₯ 15M Β· ⏱️ 23.08.2024): +- [Conda](https://anaconda.org/conda-forge/bokeh) (πŸ“₯ 15M Β· ⏱️ 26.09.2024): ``` conda install -c conda-forge bokeh ``` @@ -833,11 +833,11 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/plotly/plotly.py ``` -- [PyPi](https://pypi.org/project/plotly) (πŸ“₯ 19M / month Β· πŸ“¦ 6.3K Β· ⏱️ 12.09.2024): +- [PyPi](https://pypi.org/project/plotly) (πŸ“₯ 20M / month Β· πŸ“¦ 6.3K Β· ⏱️ 12.09.2024): ``` pip install plotly ``` -- [Conda](https://anaconda.org/conda-forge/plotly) (πŸ“₯ 7M Β· ⏱️ 12.09.2024): +- [Conda](https://anaconda.org/conda-forge/plotly) (πŸ“₯ 7.1M Β· ⏱️ 12.09.2024): ``` conda install -c conda-forge plotly ``` @@ -848,7 +848,7 @@ _General-purpose and task-specific data visualization libraries._
dash (πŸ₯‡43 Β· ⭐ 21K) - Data Apps & Dashboards for Python. No JavaScript Required. MIT -- [GitHub](https://github.com/plotly/dash) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 2K Β· πŸ“₯ 78 Β· πŸ“¦ 69K Β· πŸ“‹ 1.8K - 25% open Β· ⏱️ 20.09.2024): +- [GitHub](https://github.com/plotly/dash) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 2K Β· πŸ“₯ 78 Β· πŸ“¦ 70K Β· πŸ“‹ 1.8K - 25% open Β· ⏱️ 20.09.2024): ``` git clone https://github.com/plotly/dash @@ -862,25 +862,25 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge dash ```
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Altair (πŸ₯‡42 Β· ⭐ 9.2K) - Declarative statistical visualization library for Python. BSD-3 +
Altair (πŸ₯‡42 Β· ⭐ 9.3K) - Declarative statistical visualization library for Python. BSD-3 -- [GitHub](https://github.com/vega/altair) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 780 Β· πŸ“₯ 190 Β· πŸ“¦ 160K Β· πŸ“‹ 2K - 9% open Β· ⏱️ 26.09.2024): +- [GitHub](https://github.com/vega/altair) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 790 Β· πŸ“₯ 190 Β· πŸ“¦ 160K Β· πŸ“‹ 2K - 9% open Β· ⏱️ 03.10.2024): ``` git clone https://github.com/altair-viz/altair ``` -- [PyPi](https://pypi.org/project/altair) (πŸ“₯ 23M / month Β· πŸ“¦ 840 Β· ⏱️ 27.08.2024): +- [PyPi](https://pypi.org/project/altair) (πŸ“₯ 23M / month Β· πŸ“¦ 870 Β· ⏱️ 27.08.2024): ``` pip install altair ``` -- [Conda](https://anaconda.org/conda-forge/altair) (πŸ“₯ 2.4M Β· ⏱️ 27.08.2024): +- [Conda](https://anaconda.org/conda-forge/altair) (πŸ“₯ 2.4M Β· ⏱️ 02.10.2024): ``` conda install -c conda-forge altair ```
Seaborn (πŸ₯‡41 Β· ⭐ 12K) - Statistical data visualization in Python. BSD-3 -- [GitHub](https://github.com/mwaskom/seaborn) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 1.9K Β· πŸ“₯ 430 Β· πŸ“¦ 470K Β· πŸ“‹ 2.6K - 6% open Β· ⏱️ 22.07.2024): +- [GitHub](https://github.com/mwaskom/seaborn) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 1.9K Β· πŸ“₯ 440 Β· πŸ“¦ 480K Β· πŸ“‹ 2.6K - 6% open Β· ⏱️ 22.07.2024): ``` git clone https://github.com/mwaskom/seaborn @@ -896,23 +896,23 @@ _General-purpose and task-specific data visualization libraries._
PyVista (πŸ₯ˆ38 Β· ⭐ 2.6K) - 3D plotting and mesh analysis through a streamlined interface for.. MIT -- [GitHub](https://github.com/pyvista/pyvista) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 480 Β· πŸ“₯ 830 Β· πŸ“¦ 3.5K Β· πŸ“‹ 1.7K - 34% open Β· ⏱️ 25.09.2024): +- [GitHub](https://github.com/pyvista/pyvista) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 480 Β· πŸ“₯ 830 Β· πŸ“¦ 3.5K Β· πŸ“‹ 1.7K - 34% open Β· ⏱️ 01.10.2024): ``` git clone https://github.com/pyvista/pyvista ``` -- [PyPi](https://pypi.org/project/pyvista) (πŸ“₯ 270K / month Β· πŸ“¦ 530 Β· ⏱️ 20.07.2024): +- [PyPi](https://pypi.org/project/pyvista) (πŸ“₯ 280K / month Β· πŸ“¦ 530 Β· ⏱️ 20.07.2024): ``` pip install pyvista ``` -- [Conda](https://anaconda.org/conda-forge/pyvista) (πŸ“₯ 550K Β· ⏱️ 20.07.2024): +- [Conda](https://anaconda.org/conda-forge/pyvista) (πŸ“₯ 560K Β· ⏱️ 20.07.2024): ``` conda install -c conda-forge pyvista ```
pyecharts (πŸ₯ˆ37 Β· ⭐ 15K) - Python Echarts Plotting Library. MIT -- [GitHub](https://github.com/pyecharts/pyecharts) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 2.8K Β· πŸ“₯ 69 Β· πŸ“¦ 4.4K Β· πŸ“‹ 1.9K - 0% open Β· ⏱️ 20.06.2024): +- [GitHub](https://github.com/pyecharts/pyecharts) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 2.8K Β· πŸ“₯ 69 Β· πŸ“¦ 4.5K Β· πŸ“‹ 1.9K - 0% open Β· ⏱️ 20.06.2024): ``` git clone https://github.com/pyecharts/pyecharts @@ -924,12 +924,12 @@ _General-purpose and task-specific data visualization libraries._
pandas-profiling (πŸ₯ˆ37 Β· ⭐ 12K) - 1 Line of code data quality profiling & exploratory.. MIT -- [GitHub](https://github.com/ydataai/ydata-profiling) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.7K Β· πŸ“₯ 180 Β· πŸ“¦ 4.2K Β· πŸ“‹ 800 - 29% open Β· ⏱️ 23.09.2024): +- [GitHub](https://github.com/ydataai/ydata-profiling) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.7K Β· πŸ“₯ 190 Β· πŸ“¦ 4.3K Β· πŸ“‹ 810 - 29% open Β· ⏱️ 27.09.2024): ``` git clone https://github.com/ydataai/pandas-profiling ``` -- [PyPi](https://pypi.org/project/pandas-profiling) (πŸ“₯ 320K / month Β· πŸ“¦ 180 Β· ⏱️ 03.02.2023): +- [PyPi](https://pypi.org/project/pandas-profiling) (πŸ“₯ 330K / month Β· πŸ“¦ 180 Β· ⏱️ 03.02.2023): ``` pip install pandas-profiling ``` @@ -938,30 +938,14 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge pandas-profiling ```
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PyQtGraph (πŸ₯ˆ37 Β· ⭐ 3.9K) - Fast data visualization and GUI tools for scientific / engineering.. MIT - -- [GitHub](https://github.com/pyqtgraph/pyqtgraph) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 1.1K Β· πŸ“¦ 10K Β· πŸ“‹ 1.3K - 31% open Β· ⏱️ 08.09.2024): - - ``` - git clone https://github.com/pyqtgraph/pyqtgraph - ``` -- [PyPi](https://pypi.org/project/pyqtgraph) (πŸ“₯ 320K / month Β· πŸ“¦ 1K Β· ⏱️ 29.04.2024): - ``` - pip install pyqtgraph - ``` -- [Conda](https://anaconda.org/conda-forge/pyqtgraph) (πŸ“₯ 590K Β· ⏱️ 02.05.2024): - ``` - conda install -c conda-forge pyqtgraph - ``` -
HoloViews (πŸ₯ˆ37 Β· ⭐ 2.7K) - With Holoviews, your data visualizes itself. BSD-3 -- [GitHub](https://github.com/holoviz/holoviews) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 400 Β· πŸ“¦ 12K Β· πŸ“‹ 3.3K - 33% open Β· ⏱️ 26.09.2024): +- [GitHub](https://github.com/holoviz/holoviews) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 400 Β· πŸ“¦ 12K Β· πŸ“‹ 3.3K - 33% open Β· ⏱️ 01.10.2024): ``` git clone https://github.com/holoviz/holoviews ``` -- [PyPi](https://pypi.org/project/holoviews) (πŸ“₯ 640K / month Β· πŸ“¦ 390 Β· ⏱️ 31.07.2024): +- [PyPi](https://pypi.org/project/holoviews) (πŸ“₯ 680K / month Β· πŸ“¦ 390 Β· ⏱️ 01.10.2024): ``` pip install holoviews ``` @@ -969,53 +953,53 @@ _General-purpose and task-specific data visualization libraries._ ``` conda install -c conda-forge holoviews ``` -- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (πŸ“₯ 250 / month Β· πŸ“¦ 5 Β· ⏱️ 01.08.2024): +- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (πŸ“₯ 290 / month Β· πŸ“¦ 5 Β· ⏱️ 01.08.2024): ``` npm install @pyviz/jupyterlab_pyviz ```
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FiftyOne (πŸ₯ˆ36 Β· ⭐ 8.1K) - Visualize, create, and debug image and video datasets.. Apache-2 +
FiftyOne (πŸ₯ˆ36 Β· ⭐ 8.7K) - Visualize, create, and debug image and video datasets.. Apache-2 -- [GitHub](https://github.com/voxel51/fiftyone) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 540 Β· πŸ“¦ 700 Β· πŸ“‹ 1.5K - 31% open Β· ⏱️ 26.09.2024): +- [GitHub](https://github.com/voxel51/fiftyone) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 550 Β· πŸ“¦ 700 Β· πŸ“‹ 1.5K - 31% open Β· ⏱️ 01.10.2024): ``` git clone https://github.com/voxel51/fiftyone ``` -- [PyPi](https://pypi.org/project/fiftyone) (πŸ“₯ 87K / month Β· πŸ“¦ 21 Β· ⏱️ 19.09.2024): +- [PyPi](https://pypi.org/project/fiftyone) (πŸ“₯ 73K / month Β· πŸ“¦ 22 Β· ⏱️ 01.10.2024): ``` pip install fiftyone ```
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plotnine (πŸ₯ˆ35 Β· ⭐ 4K) - A Grammar of Graphics for Python. MIT +
PyQtGraph (πŸ₯ˆ36 Β· ⭐ 3.9K) - Fast data visualization and GUI tools for scientific / engineering.. MIT -- [GitHub](https://github.com/has2k1/plotnine) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 210 Β· πŸ“¦ 8.8K Β· πŸ“‹ 680 - 13% open Β· ⏱️ 23.09.2024): +- [GitHub](https://github.com/pyqtgraph/pyqtgraph) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 1.1K Β· πŸ“¦ 10K Β· πŸ“‹ 1.3K - 31% open Β· ⏱️ 08.09.2024): ``` - git clone https://github.com/has2k1/plotnine + git clone https://github.com/pyqtgraph/pyqtgraph ``` -- [PyPi](https://pypi.org/project/plotnine) (πŸ“₯ 2.9M / month Β· πŸ“¦ 310 Β· ⏱️ 09.05.2024): +- [PyPi](https://pypi.org/project/pyqtgraph) (πŸ“₯ 330K / month Β· πŸ“¦ 1K Β· ⏱️ 29.04.2024): ``` - pip install plotnine + pip install pyqtgraph ``` -- [Conda](https://anaconda.org/conda-forge/plotnine) (πŸ“₯ 400K Β· ⏱️ 20.09.2024): +- [Conda](https://anaconda.org/conda-forge/pyqtgraph) (πŸ“₯ 600K Β· ⏱️ 02.05.2024): ``` - conda install -c conda-forge plotnine + conda install -c conda-forge pyqtgraph ```
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UMAP (πŸ₯ˆ34 Β· ⭐ 7.4K) - Uniform Manifold Approximation and Projection. BSD-3 +
plotnine (πŸ₯ˆ35 Β· ⭐ 4K) - A Grammar of Graphics for Python. MIT -- [GitHub](https://github.com/lmcinnes/umap) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 800 Β· πŸ“¦ 1 Β· πŸ“‹ 810 - 58% open Β· ⏱️ 18.08.2024): +- [GitHub](https://github.com/has2k1/plotnine) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 210 Β· πŸ“¦ 8.8K Β· πŸ“‹ 680 - 13% open Β· ⏱️ 30.09.2024): ``` - git clone https://github.com/lmcinnes/umap + git clone https://github.com/has2k1/plotnine ``` -- [PyPi](https://pypi.org/project/umap-learn) (πŸ“₯ 1.4M / month Β· πŸ“¦ 960 Β· ⏱️ 03.04.2024): +- [PyPi](https://pypi.org/project/plotnine) (πŸ“₯ 3M / month Β· πŸ“¦ 310 Β· ⏱️ 09.05.2024): ``` - pip install umap-learn + pip install plotnine ``` -- [Conda](https://anaconda.org/conda-forge/umap-learn) (πŸ“₯ 2.6M Β· ⏱️ 14.08.2024): +- [Conda](https://anaconda.org/conda-forge/plotnine) (πŸ“₯ 400K Β· ⏱️ 20.09.2024): ``` - conda install -c conda-forge umap-learn + conda install -c conda-forge plotnine ```
VisPy (πŸ₯ˆ34 Β· ⭐ 3.3K) - High-performance interactive 2D/3D data visualization library. BSD-3 @@ -1025,27 +1009,27 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/vispy/vispy ``` -- [PyPi](https://pypi.org/project/vispy) (πŸ“₯ 270K / month Β· πŸ“¦ 170 Β· ⏱️ 17.06.2024): +- [PyPi](https://pypi.org/project/vispy) (πŸ“₯ 420K / month Β· πŸ“¦ 170 Β· ⏱️ 17.06.2024): ``` pip install vispy ``` -- [Conda](https://anaconda.org/conda-forge/vispy) (πŸ“₯ 600K Β· ⏱️ 04.09.2024): +- [Conda](https://anaconda.org/conda-forge/vispy) (πŸ“₯ 610K Β· ⏱️ 04.09.2024): ``` conda install -c conda-forge vispy ``` -- [npm](https://www.npmjs.com/package/vispy) (πŸ“₯ 7 / month Β· πŸ“¦ 3 Β· ⏱️ 15.03.2020): +- [npm](https://www.npmjs.com/package/vispy) (πŸ“₯ 3 / month Β· πŸ“¦ 3 Β· ⏱️ 15.03.2020): ``` npm install vispy ```
Graphviz (πŸ₯ˆ34 Β· ⭐ 1.6K) - Simple Python interface for Graphviz. MIT -- [GitHub](https://github.com/xflr6/graphviz) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 210 Β· πŸ“¦ 73K Β· πŸ“‹ 180 - 7% open Β· ⏱️ 13.05.2024): +- [GitHub](https://github.com/xflr6/graphviz) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 210 Β· πŸ“¦ 74K Β· πŸ“‹ 180 - 7% open Β· ⏱️ 13.05.2024): ``` git clone https://github.com/xflr6/graphviz ``` -- [PyPi](https://pypi.org/project/graphviz) (πŸ“₯ 15M / month Β· πŸ“¦ 2.6K Β· ⏱️ 21.03.2024): +- [PyPi](https://pypi.org/project/graphviz) (πŸ“₯ 16M / month Β· πŸ“¦ 2.6K Β· ⏱️ 21.03.2024): ``` pip install graphviz ``` @@ -1054,45 +1038,45 @@ _General-purpose and task-specific data visualization libraries._ conda install -c anaconda python-graphviz ```
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cartopy (πŸ₯ˆ34 Β· ⭐ 1.4K) - Cartopy - a cartographic python library with matplotlib support. BSD-3 +
Perspective (πŸ₯ˆ33 Β· ⭐ 8.4K) - A data visualization and analytics component, especially.. Apache-2 -- [GitHub](https://github.com/SciTools/cartopy) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 360 Β· πŸ“¦ 5.7K Β· πŸ“‹ 1.3K - 24% open Β· ⏱️ 25.09.2024): +- [GitHub](https://github.com/finos/perspective) (πŸ‘¨β€πŸ’» 94 Β· πŸ”€ 1.2K Β· πŸ“₯ 4.6K Β· πŸ“¦ 140 Β· πŸ“‹ 810 - 12% open Β· ⏱️ 23.09.2024): ``` - git clone https://github.com/SciTools/cartopy + git clone https://github.com/finos/perspective ``` -- [PyPi](https://pypi.org/project/cartopy) (πŸ“₯ 300K / month Β· πŸ“¦ 710 Β· ⏱️ 10.04.2024): +- [PyPi](https://pypi.org/project/perspective-python) (πŸ“₯ 18K / month Β· πŸ“¦ 26 Β· ⏱️ 23.09.2024): ``` - pip install cartopy + pip install perspective-python ``` -- [Conda](https://anaconda.org/conda-forge/cartopy) (πŸ“₯ 4.1M Β· ⏱️ 12.09.2024): +- [Conda](https://anaconda.org/conda-forge/perspective) (πŸ“₯ 1.2M Β· ⏱️ 21.09.2024): ``` - conda install -c conda-forge cartopy + conda install -c conda-forge perspective + ``` +- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (πŸ“₯ 4.3K / month Β· πŸ“¦ 6 Β· ⏱️ 23.09.2024): + ``` + npm install @finos/perspective-jupyterlab ```
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Perspective (πŸ₯ˆ33 Β· ⭐ 8.3K) - A data visualization and analytics component, especially.. Apache-2 +
UMAP (πŸ₯ˆ33 Β· ⭐ 7.4K) - Uniform Manifold Approximation and Projection. BSD-3 -- [GitHub](https://github.com/finos/perspective) (πŸ‘¨β€πŸ’» 94 Β· πŸ”€ 1.2K Β· πŸ“₯ 4.6K Β· πŸ“¦ 140 Β· πŸ“‹ 800 - 12% open Β· ⏱️ 23.09.2024): +- [GitHub](https://github.com/lmcinnes/umap) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 800 Β· πŸ“¦ 1 Β· πŸ“‹ 810 - 58% open Β· ⏱️ 18.08.2024): ``` - git clone https://github.com/finos/perspective - ``` -- [PyPi](https://pypi.org/project/perspective-python) (πŸ“₯ 18K / month Β· πŸ“¦ 26 Β· ⏱️ 23.09.2024): - ``` - pip install perspective-python + git clone https://github.com/lmcinnes/umap ``` -- [Conda](https://anaconda.org/conda-forge/perspective) (πŸ“₯ 1.2M Β· ⏱️ 21.09.2024): +- [PyPi](https://pypi.org/project/umap-learn) (πŸ“₯ 1.3M / month Β· πŸ“¦ 960 Β· ⏱️ 03.04.2024): ``` - conda install -c conda-forge perspective + pip install umap-learn ``` -- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (πŸ“₯ 4.1K / month Β· πŸ“¦ 6 Β· ⏱️ 23.09.2024): +- [Conda](https://anaconda.org/conda-forge/umap-learn) (πŸ“₯ 2.6M Β· ⏱️ 14.08.2024): ``` - npm install @finos/perspective-jupyterlab + conda install -c conda-forge umap-learn ```
datashader (πŸ₯ˆ33 Β· ⭐ 3.3K) - Quickly and accurately render even the largest data. BSD-3 -- [GitHub](https://github.com/holoviz/datashader) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 360 Β· πŸ“¦ 4.8K Β· πŸ“‹ 580 - 23% open Β· ⏱️ 20.09.2024): +- [GitHub](https://github.com/holoviz/datashader) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 360 Β· πŸ“¦ 4.8K Β· πŸ“‹ 580 - 23% open Β· ⏱️ 30.09.2024): ``` git clone https://github.com/holoviz/datashader @@ -1106,6 +1090,22 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge datashader ```
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cartopy (πŸ₯ˆ33 Β· ⭐ 1.4K) - Cartopy - a cartographic python library with matplotlib support. BSD-3 + +- [GitHub](https://github.com/SciTools/cartopy) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 360 Β· πŸ“¦ 5.7K Β· πŸ“‹ 1.3K - 24% open Β· ⏱️ 25.09.2024): + + ``` + git clone https://github.com/SciTools/cartopy + ``` +- [PyPi](https://pypi.org/project/cartopy) (πŸ“₯ 320K / month Β· πŸ“¦ 710 Β· ⏱️ 10.04.2024): + ``` + pip install cartopy + ``` +- [Conda](https://anaconda.org/conda-forge/cartopy) (πŸ“₯ 4.1M Β· ⏱️ 12.09.2024): + ``` + conda install -c conda-forge cartopy + ``` +
wordcloud (πŸ₯ˆ32 Β· ⭐ 10K) - A little word cloud generator in Python. MIT - [GitHub](https://github.com/amueller/word_cloud) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 2.3K Β· πŸ“¦ 21 Β· πŸ“‹ 540 - 23% open Β· ⏱️ 15.09.2024): @@ -1113,7 +1113,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/amueller/word_cloud ``` -- [PyPi](https://pypi.org/project/wordcloud) (πŸ“₯ 1.6M / month Β· πŸ“¦ 530 Β· ⏱️ 09.12.2023): +- [PyPi](https://pypi.org/project/wordcloud) (πŸ“₯ 1.7M / month Β· πŸ“¦ 530 Β· ⏱️ 09.12.2023): ``` pip install wordcloud ``` @@ -1124,28 +1124,28 @@ _General-purpose and task-specific data visualization libraries._
lets-plot (πŸ₯ˆ31 Β· ⭐ 1.6K) - Multiplatform plotting library based on the Grammar of Graphics. MIT -- [GitHub](https://github.com/JetBrains/lets-plot) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 49 Β· πŸ“₯ 1K Β· πŸ“¦ 120 Β· πŸ“‹ 610 - 24% open Β· ⏱️ 26.09.2024): +- [GitHub](https://github.com/JetBrains/lets-plot) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 49 Β· πŸ“₯ 1.1K Β· πŸ“¦ 120 Β· πŸ“‹ 610 - 24% open Β· ⏱️ 03.10.2024): ``` git clone https://github.com/JetBrains/lets-plot ``` -- [PyPi](https://pypi.org/project/lets-plot) (πŸ“₯ 28K / month Β· πŸ“¦ 13 Β· ⏱️ 21.08.2024): +- [PyPi](https://pypi.org/project/lets-plot) (πŸ“₯ 30K / month Β· πŸ“¦ 13 Β· ⏱️ 21.08.2024): ``` pip install lets-plot ```
hvPlot (πŸ₯ˆ31 Β· ⭐ 1.1K) - A high-level plotting API for pandas, dask, xarray, and networkx built.. BSD-3 -- [GitHub](https://github.com/holoviz/hvplot) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 100 Β· πŸ“¦ 5.8K Β· πŸ“‹ 800 - 44% open Β· ⏱️ 25.09.2024): +- [GitHub](https://github.com/holoviz/hvplot) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 100 Β· πŸ“¦ 5.9K Β· πŸ“‹ 810 - 44% open Β· ⏱️ 30.09.2024): ``` git clone https://github.com/holoviz/hvplot ``` -- [PyPi](https://pypi.org/project/hvplot) (πŸ“₯ 220K / month Β· πŸ“¦ 200 Β· ⏱️ 20.09.2024): +- [PyPi](https://pypi.org/project/hvplot) (πŸ“₯ 220K / month Β· πŸ“¦ 200 Β· ⏱️ 27.09.2024): ``` pip install hvplot ``` -- [Conda](https://anaconda.org/conda-forge/hvplot) (πŸ“₯ 640K Β· ⏱️ 07.05.2024): +- [Conda](https://anaconda.org/conda-forge/hvplot) (πŸ“₯ 640K Β· ⏱️ 30.09.2024): ``` conda install -c conda-forge hvplot ``` @@ -1157,11 +1157,11 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/man-group/dtale ``` -- [PyPi](https://pypi.org/project/dtale) (πŸ“₯ 39K / month Β· πŸ“¦ 44 Β· ⏱️ 10.09.2024): +- [PyPi](https://pypi.org/project/dtale) (πŸ“₯ 40K / month Β· πŸ“¦ 44 Β· ⏱️ 10.09.2024): ``` pip install dtale ``` -- [Conda](https://anaconda.org/conda-forge/dtale) (πŸ“₯ 330K Β· ⏱️ 10.09.2024): +- [Conda](https://anaconda.org/conda-forge/dtale) (πŸ“₯ 340K Β· ⏱️ 10.09.2024): ``` conda install -c conda-forge dtale ``` @@ -1193,7 +1193,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/mpld3/mpld3 ``` -- [PyPi](https://pypi.org/project/mpld3) (πŸ“₯ 380K / month Β· πŸ“¦ 140 Β· ⏱️ 23.12.2023): +- [PyPi](https://pypi.org/project/mpld3) (πŸ“₯ 380K / month Β· πŸ“¦ 150 Β· ⏱️ 23.12.2023): ``` pip install mpld3 ``` @@ -1201,19 +1201,19 @@ _General-purpose and task-specific data visualization libraries._ ``` conda install -c conda-forge mpld3 ``` -- [npm](https://www.npmjs.com/package/mpld3) (πŸ“₯ 860 / month Β· πŸ“¦ 9 Β· ⏱️ 23.12.2023): +- [npm](https://www.npmjs.com/package/mpld3) (πŸ“₯ 710 / month Β· πŸ“¦ 9 Β· ⏱️ 23.12.2023): ``` npm install mpld3 ```
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openTSNE (πŸ₯‰28 Β· ⭐ 1.4K) - Extensible, parallel implementations of t-SNE. BSD-3 +
openTSNE (πŸ₯‰28 Β· ⭐ 1.5K) - Extensible, parallel implementations of t-SNE. BSD-3 - [GitHub](https://github.com/pavlin-policar/openTSNE) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 160 Β· πŸ“¦ 880 Β· πŸ“‹ 140 - 3% open Β· ⏱️ 13.08.2024): ``` git clone https://github.com/pavlin-policar/openTSNE ``` -- [PyPi](https://pypi.org/project/opentsne) (πŸ“₯ 36K / month Β· πŸ“¦ 47 Β· ⏱️ 13.08.2024): +- [PyPi](https://pypi.org/project/opentsne) (πŸ“₯ 37K / month Β· πŸ“¦ 47 Β· ⏱️ 13.08.2024): ``` pip install opentsne ``` @@ -1229,7 +1229,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/fbdesignpro/sweetviz ``` -- [PyPi](https://pypi.org/project/sweetviz) (πŸ“₯ 77K / month Β· πŸ“¦ 30 Β· ⏱️ 29.11.2023): +- [PyPi](https://pypi.org/project/sweetviz) (πŸ“₯ 81K / month Β· πŸ“¦ 30 Β· ⏱️ 29.11.2023): ``` pip install sweetviz ``` @@ -1238,46 +1238,46 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge sweetviz ```
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HyperTools (πŸ₯‰26 Β· ⭐ 1.8K Β· πŸ’€) - A Python toolbox for gaining geometric insights into high-.. MIT + +- [GitHub](https://github.com/ContextLab/hypertools) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 160 Β· πŸ“₯ 48 Β· πŸ“¦ 480 Β· πŸ“‹ 200 - 34% open Β· ⏱️ 19.03.2024): + + ``` + git clone https://github.com/ContextLab/hypertools + ``` +- [PyPi](https://pypi.org/project/hypertools) (πŸ“₯ 1.2K / month Β· πŸ“¦ 2 Β· ⏱️ 12.02.2022): + ``` + pip install hypertools + ``` +
AutoViz (πŸ₯‰26 Β· ⭐ 1.7K) - Automatically Visualize any dataset, any size with a single line of.. Apache-2 -- [GitHub](https://github.com/AutoViML/AutoViz) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 200 Β· πŸ“¦ 750 Β· πŸ“‹ 94 - 3% open Β· ⏱️ 10.06.2024): +- [GitHub](https://github.com/AutoViML/AutoViz) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 200 Β· πŸ“¦ 760 Β· πŸ“‹ 94 - 3% open Β· ⏱️ 10.06.2024): ``` git clone https://github.com/AutoViML/AutoViz ``` -- [PyPi](https://pypi.org/project/autoviz) (πŸ“₯ 54K / month Β· πŸ“¦ 11 Β· ⏱️ 10.06.2024): +- [PyPi](https://pypi.org/project/autoviz) (πŸ“₯ 48K / month Β· πŸ“¦ 11 Β· ⏱️ 10.06.2024): ``` pip install autoviz ``` -- [Conda](https://anaconda.org/conda-forge/autoviz) (πŸ“₯ 63K Β· ⏱️ 26.04.2024): +- [Conda](https://anaconda.org/conda-forge/autoviz) (πŸ“₯ 64K Β· ⏱️ 26.04.2024): ``` conda install -c conda-forge autoviz ```
data-validation (πŸ₯‰26 Β· ⭐ 760) - Library for exploring and validating machine learning.. Apache-2 -- [GitHub](https://github.com/tensorflow/data-validation) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 170 Β· πŸ“₯ 860 Β· πŸ“‹ 180 - 20% open Β· ⏱️ 06.09.2024): +- [GitHub](https://github.com/tensorflow/data-validation) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 170 Β· πŸ“₯ 860 Β· πŸ“‹ 180 - 20% open Β· ⏱️ 03.10.2024): ``` git clone https://github.com/tensorflow/data-validation ``` -- [PyPi](https://pypi.org/project/tensorflow-data-validation) (πŸ“₯ 210K / month Β· πŸ“¦ 31 Β· ⏱️ 24.04.2024): +- [PyPi](https://pypi.org/project/tensorflow-data-validation) (πŸ“₯ 200K / month Β· πŸ“¦ 31 Β· ⏱️ 03.10.2024): ``` pip install tensorflow-data-validation ```
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HyperTools (πŸ₯‰25 Β· ⭐ 1.8K) - A Python toolbox for gaining geometric insights into high-dimensional.. MIT - -- [GitHub](https://github.com/ContextLab/hypertools) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 160 Β· πŸ“₯ 48 Β· πŸ“¦ 480 Β· πŸ“‹ 200 - 34% open Β· ⏱️ 19.03.2024): - - ``` - git clone https://github.com/ContextLab/hypertools - ``` -- [PyPi](https://pypi.org/project/hypertools) (πŸ“₯ 830 / month Β· πŸ“¦ 2 Β· ⏱️ 12.02.2022): - ``` - pip install hypertools - ``` -
Chartify (πŸ₯‰24 Β· ⭐ 3.5K Β· πŸ’€) - Python library that makes it easy for data scientists to create.. Apache-2 - [GitHub](https://github.com/spotify/chartify) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 320 Β· πŸ“¦ 78 Β· πŸ“‹ 83 - 61% open Β· ⏱️ 12.10.2023): @@ -1285,7 +1285,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/spotify/chartify ``` -- [PyPi](https://pypi.org/project/chartify) (πŸ“₯ 2.9K / month Β· πŸ“¦ 9 Β· ⏱️ 12.10.2023): +- [PyPi](https://pypi.org/project/chartify) (πŸ“₯ 3K / month Β· πŸ“¦ 9 Β· ⏱️ 12.10.2023): ``` pip install chartify ``` @@ -1301,11 +1301,11 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/predict-idlab/plotly-resampler ``` -- [PyPi](https://pypi.org/project/plotly-resampler) (πŸ“₯ 370K / month Β· πŸ“¦ 24 Β· ⏱️ 27.03.2024): +- [PyPi](https://pypi.org/project/plotly-resampler) (πŸ“₯ 350K / month Β· πŸ“¦ 24 Β· ⏱️ 27.03.2024): ``` pip install plotly-resampler ``` -- [Conda](https://anaconda.org/conda-forge/plotly-resampler) (πŸ“₯ 67K Β· ⏱️ 29.03.2024): +- [Conda](https://anaconda.org/conda-forge/plotly-resampler) (πŸ“₯ 68K Β· ⏱️ 29.03.2024): ``` conda install -c conda-forge plotly-resampler ``` @@ -1317,7 +1317,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/marcharper/python-ternary ``` -- [PyPi](https://pypi.org/project/python-ternary) (πŸ“₯ 18K / month Β· πŸ“¦ 32 Β· ⏱️ 17.02.2021): +- [PyPi](https://pypi.org/project/python-ternary) (πŸ“₯ 21K / month Β· πŸ“¦ 32 Β· ⏱️ 17.02.2021): ``` pip install python-ternary ``` @@ -1326,9 +1326,9 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge python-ternary ```
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vega (πŸ₯‰24 Β· ⭐ 370 Β· πŸ“ˆ) - IPython/Jupyter notebook module for Vega and Vega-Lite. BSD-3 +
vega (πŸ₯‰24 Β· ⭐ 370) - IPython/Jupyter notebook module for Vega and Vega-Lite. BSD-3 -- [GitHub](https://github.com/vega/ipyvega) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 65 Β· πŸ“¦ 4 Β· πŸ“‹ 110 - 14% open Β· ⏱️ 25.09.2024): +- [GitHub](https://github.com/vega/ipyvega) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 65 Β· πŸ“¦ 4 Β· πŸ“‹ 110 - 14% open Β· ⏱️ 01.10.2024): ``` git clone https://github.com/vega/ipyvega @@ -1342,6 +1342,18 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge vega ```
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ivis (πŸ₯‰24 Β· ⭐ 330 Β· πŸ“ˆ) - Dimensionality reduction in very large datasets using Siamese.. Apache-2 + +- [GitHub](https://github.com/beringresearch/ivis) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 43 Β· πŸ“¦ 35 Β· πŸ“‹ 60 - 5% open Β· ⏱️ 29.09.2024): + + ``` + git clone https://github.com/beringresearch/ivis + ``` +- [PyPi](https://pypi.org/project/ivis) (πŸ“₯ 1.5K / month Β· πŸ“¦ 2 Β· ⏱️ 13.06.2024): + ``` + pip install ivis + ``` +
Multicore-TSNE (πŸ₯‰23 Β· ⭐ 1.9K Β· πŸ’€) - Parallel t-SNE implementation with Python and Torch.. BSD-3 - [GitHub](https://github.com/DmitryUlyanov/Multicore-TSNE) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 230 Β· πŸ“¦ 470 Β· πŸ“‹ 69 - 65% open Β· ⏱️ 06.02.2024): @@ -1349,11 +1361,11 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/DmitryUlyanov/Multicore-TSNE ``` -- [PyPi](https://pypi.org/project/MulticoreTSNE) (πŸ“₯ 1.8K / month Β· πŸ“¦ 22 Β· ⏱️ 09.01.2019): +- [PyPi](https://pypi.org/project/MulticoreTSNE) (πŸ“₯ 1.7K / month Β· πŸ“¦ 22 Β· ⏱️ 09.01.2019): ``` pip install MulticoreTSNE ``` -- [Conda](https://anaconda.org/conda-forge/multicore-tsne) (πŸ“₯ 50K Β· ⏱️ 11.10.2023): +- [Conda](https://anaconda.org/conda-forge/multicore-tsne) (πŸ“₯ 51K Β· ⏱️ 11.10.2023): ``` conda install -c conda-forge multicore-tsne ``` @@ -1365,7 +1377,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/gyli/PyWaffle ``` -- [PyPi](https://pypi.org/project/pywaffle) (πŸ“₯ 6.4K / month Β· πŸ“¦ 6 Β· ⏱️ 16.06.2024): +- [PyPi](https://pypi.org/project/pywaffle) (πŸ“₯ 7.1K / month Β· πŸ“¦ 6 Β· ⏱️ 16.06.2024): ``` pip install pywaffle ``` @@ -1390,18 +1402,6 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge animatplot ```
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ivis (πŸ₯‰20 Β· ⭐ 330) - Dimensionality reduction in very large datasets using Siamese.. Apache-2 - -- [GitHub](https://github.com/beringresearch/ivis) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 43 Β· πŸ“¦ 35 Β· πŸ“‹ 60 - 5% open Β· ⏱️ 13.06.2024): - - ``` - git clone https://github.com/beringresearch/ivis - ``` -- [PyPi](https://pypi.org/project/ivis) (πŸ“₯ 1.4K / month Β· πŸ“¦ 2 Β· ⏱️ 13.06.2024): - ``` - pip install ivis - ``` -
vegafusion (πŸ₯‰20 Β· ⭐ 320) - Serverside scaling for Vega and Altair visualizations. BSD-3 - [GitHub](https://github.com/vega/vegafusion) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 18 Β· πŸ“₯ 7.5K Β· πŸ“‹ 140 - 36% open Β· ⏱️ 14.08.2024): @@ -1409,15 +1409,15 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/vegafusion/vegafusion ``` -- [PyPi](https://pypi.org/project/vegafusion-jupyter) (πŸ“₯ 990 / month Β· πŸ“¦ 2 Β· ⏱️ 09.05.2024): +- [PyPi](https://pypi.org/project/vegafusion-jupyter) (πŸ“₯ 1.1K / month Β· πŸ“¦ 2 Β· ⏱️ 09.05.2024): ``` pip install vegafusion-jupyter ``` -- [Conda](https://anaconda.org/conda-forge/vegafusion-python-embed) (πŸ“₯ 230K Β· ⏱️ 10.05.2024): +- [Conda](https://anaconda.org/conda-forge/vegafusion-python-embed) (πŸ“₯ 240K Β· ⏱️ 10.05.2024): ``` conda install -c conda-forge vegafusion-python-embed ``` -- [npm](https://www.npmjs.com/package/vegafusion-jupyter) (πŸ“₯ 220 / month Β· πŸ“¦ 3 Β· ⏱️ 09.05.2024): +- [npm](https://www.npmjs.com/package/vegafusion-jupyter) (πŸ“₯ 170 / month Β· πŸ“¦ 3 Β· ⏱️ 09.05.2024): ``` npm install vegafusion-jupyter ``` @@ -1426,15 +1426,15 @@ _General-purpose and task-specific data visualization libraries._ - missingno (πŸ₯‰29 Β· ⭐ 3.9K Β· πŸ’€) - Missing data visualization module for Python. MIT - Cufflinks (πŸ₯‰29 Β· ⭐ 3K Β· πŸ’€) - Productivity Tools for Plotly + Pandas. MIT -- Facets Overview (πŸ₯‰28 Β· ⭐ 7.3K Β· πŸ’€) - Visualizations for machine learning datasets. Apache-2 +- Facets Overview (πŸ₯‰28 Β· ⭐ 7.4K Β· πŸ’€) - Visualizations for machine learning datasets. Apache-2 - pythreejs (πŸ₯‰28 Β· ⭐ 940 Β· πŸ’€) - A Jupyter - Three.js bridge. BSD-3 -- HiPlot (πŸ₯‰25 Β· ⭐ 2.7K Β· πŸ’€) - HiPlot makes understanding high dimensional data easy. MIT +- HiPlot (πŸ₯‰24 Β· ⭐ 2.7K Β· πŸ’€) - HiPlot makes understanding high dimensional data easy. MIT - PandasGUI (πŸ₯‰23 Β· ⭐ 3.2K Β· πŸ’€) - A GUI for Pandas DataFrames. ❗️MIT-0 - Pandas-Bokeh (πŸ₯‰23 Β· ⭐ 880 Β· πŸ’€) - Bokeh Plotting Backend for Pandas and GeoPandas. MIT - pivottablejs (πŸ₯‰22 Β· ⭐ 680 Β· πŸ’€) - Dragndrop Pivot Tables and Charts for Jupyter/IPython.. MIT - PDPbox (πŸ₯‰21 Β· ⭐ 840 Β· πŸ’€) - python partial dependence plot toolbox. MIT - joypy (πŸ₯‰21 Β· ⭐ 560 Β· πŸ’€) - Joyplots in Python with matplotlib & pandas. MIT -- Popmon (πŸ₯‰21 Β· ⭐ 490 Β· πŸ’€) - Monitor the stability of a Pandas or Spark dataframe. MIT +- Popmon (πŸ₯‰21 Β· ⭐ 500 Β· πŸ’€) - Monitor the stability of a Pandas or Spark dataframe. MIT - pdvega (πŸ₯‰16 Β· ⭐ 340 Β· πŸ’€) - Interactive plotting for Pandas using Vega-Lite. MIT - data-describe (πŸ₯‰15 Β· ⭐ 300 Β· πŸ’€) - datadescribe: Pythonic EDA Accelerator for Data Science. Apache-2 - nx-altair (πŸ₯‰15 Β· ⭐ 220 Β· πŸ’€) - Draw interactive NetworkX graphs with Altair. MIT @@ -1450,76 +1450,76 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
transformers (πŸ₯‡52 Β· ⭐ 130K) - Transformers: State-of-the-art Machine Learning for.. Apache-2 -- [GitHub](https://github.com/huggingface/transformers) (πŸ‘¨β€πŸ’» 2.8K Β· πŸ”€ 26K Β· πŸ“¦ 220K Β· πŸ“‹ 16K - 8% open Β· ⏱️ 26.09.2024): +- [GitHub](https://github.com/huggingface/transformers) (πŸ‘¨β€πŸ’» 2.9K Β· πŸ”€ 26K Β· πŸ“¦ 220K Β· πŸ“‹ 16K - 8% open Β· ⏱️ 03.10.2024): ``` git clone https://github.com/huggingface/transformers ``` -- [PyPi](https://pypi.org/project/transformers) (πŸ“₯ 36M / month Β· πŸ“¦ 6.3K Β· ⏱️ 25.09.2024): +- [PyPi](https://pypi.org/project/transformers) (πŸ“₯ 37M / month Β· πŸ“¦ 6.3K Β· ⏱️ 26.09.2024): ``` pip install transformers ``` -- [Conda](https://anaconda.org/conda-forge/transformers) (πŸ“₯ 2.1M Β· ⏱️ 23.08.2024): +- [Conda](https://anaconda.org/conda-forge/transformers) (πŸ“₯ 2.1M Β· ⏱️ 28.09.2024): ``` conda install -c conda-forge transformers ```
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nltk (πŸ₯‡45 Β· ⭐ 13K) - Suite of libraries and programs for symbolic and statistical natural.. Apache-2 +
spaCy (πŸ₯‡45 Β· ⭐ 30K Β· πŸ“ˆ) - Industrial-strength Natural Language Processing (NLP) in Python. MIT -- [GitHub](https://github.com/nltk/nltk) (πŸ‘¨β€πŸ’» 460 Β· πŸ”€ 2.9K Β· πŸ“¦ 310K Β· πŸ“‹ 1.8K - 14% open Β· ⏱️ 25.09.2024): +- [GitHub](https://github.com/explosion/spaCy) (πŸ‘¨β€πŸ’» 760 Β· πŸ”€ 4.4K Β· πŸ“₯ 170 Β· πŸ“¦ 100K Β· πŸ“‹ 5.7K - 2% open Β· ⏱️ 01.10.2024): ``` - git clone https://github.com/nltk/nltk + git clone https://github.com/explosion/spaCy ``` -- [PyPi](https://pypi.org/project/nltk) (πŸ“₯ 23M / month Β· πŸ“¦ 4.7K Β· ⏱️ 18.08.2024): +- [PyPi](https://pypi.org/project/spacy) (πŸ“₯ 12M / month Β· πŸ“¦ 2.7K Β· ⏱️ 01.10.2024): ``` - pip install nltk + pip install spacy ``` -- [Conda](https://anaconda.org/conda-forge/nltk) (πŸ“₯ 2.8M Β· ⏱️ 18.08.2024): +- [Conda](https://anaconda.org/conda-forge/spacy) (πŸ“₯ 4.2M Β· ⏱️ 22.09.2024): ``` - conda install -c conda-forge nltk + conda install -c conda-forge spacy ```
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spaCy (πŸ₯‡44 Β· ⭐ 30K) - Industrial-strength Natural Language Processing (NLP) in Python. MIT +
nltk (πŸ₯‡45 Β· ⭐ 13K) - Suite of libraries and programs for symbolic and statistical natural.. Apache-2 -- [GitHub](https://github.com/explosion/spaCy) (πŸ‘¨β€πŸ’» 760 Β· πŸ”€ 4.4K Β· πŸ“₯ 240 Β· πŸ“¦ 100K Β· πŸ“‹ 5.6K - 2% open Β· ⏱️ 14.09.2024): +- [GitHub](https://github.com/nltk/nltk) (πŸ‘¨β€πŸ’» 460 Β· πŸ”€ 2.9K Β· πŸ“¦ 310K Β· πŸ“‹ 1.8K - 14% open Β· ⏱️ 25.09.2024): ``` - git clone https://github.com/explosion/spaCy + git clone https://github.com/nltk/nltk ``` -- [PyPi](https://pypi.org/project/spacy) (πŸ“₯ 13M / month Β· πŸ“¦ 2.7K Β· ⏱️ 14.09.2024): +- [PyPi](https://pypi.org/project/nltk) (πŸ“₯ 23M / month Β· πŸ“¦ 4.7K Β· ⏱️ 18.08.2024): ``` - pip install spacy + pip install nltk ``` -- [Conda](https://anaconda.org/conda-forge/spacy) (πŸ“₯ 4.1M Β· ⏱️ 22.09.2024): +- [Conda](https://anaconda.org/conda-forge/nltk) (πŸ“₯ 2.8M Β· ⏱️ 18.08.2024): ``` - conda install -c conda-forge spacy + conda install -c conda-forge nltk ```
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litellm (πŸ₯‡44 Β· ⭐ 12K Β· πŸ“ˆ) - Python SDK, Proxy Server (LLM Gateway) to call 100+.. MIT o t h e r s +
litellm (πŸ₯‡43 Β· ⭐ 13K Β· πŸ“‰) - Python SDK, Proxy Server (LLM Gateway) to call 100+.. MIT o t h e r s -- [GitHub](https://github.com/BerriAI/litellm) (πŸ‘¨β€πŸ’» 340 Β· πŸ”€ 1.4K Β· πŸ“₯ 540 Β· πŸ“¦ 3.4K Β· πŸ“‹ 3.3K - 18% open Β· ⏱️ 26.09.2024): +- [GitHub](https://github.com/BerriAI/litellm) (πŸ‘¨β€πŸ’» 340 Β· πŸ”€ 1.5K Β· πŸ“₯ 470 Β· πŸ“¦ 3.6K Β· πŸ“‹ 3.3K - 18% open Β· ⏱️ 03.10.2024): ``` git clone https://github.com/BerriAI/litellm ``` -- [PyPi](https://pypi.org/project/litellm) (πŸ“₯ 1.9M / month Β· πŸ“¦ 420 Β· ⏱️ 26.09.2024): +- [PyPi](https://pypi.org/project/litellm) (πŸ“₯ 2.1M / month Β· πŸ“¦ 440 Β· ⏱️ 03.10.2024): ``` pip install litellm ```
sentence-transformers (πŸ₯‡41 Β· ⭐ 15K) - State-of-the-Art Text Embeddings. Apache-2 -- [GitHub](https://github.com/UKPLab/sentence-transformers) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 2.4K Β· πŸ“¦ 48K Β· πŸ“‹ 2.2K - 53% open Β· ⏱️ 26.09.2024): +- [GitHub](https://github.com/UKPLab/sentence-transformers) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 2.4K Β· πŸ“¦ 49K Β· πŸ“‹ 2.2K - 53% open Β· ⏱️ 30.09.2024): ``` git clone https://github.com/UKPLab/sentence-transformers ``` -- [PyPi](https://pypi.org/project/sentence-transformers) (πŸ“₯ 5.1M / month Β· πŸ“¦ 1.6K Β· ⏱️ 19.09.2024): +- [PyPi](https://pypi.org/project/sentence-transformers) (πŸ“₯ 5.4M / month Β· πŸ“¦ 1.6K Β· ⏱️ 19.09.2024): ``` pip install sentence-transformers ``` -- [Conda](https://anaconda.org/conda-forge/sentence-transformers) (πŸ“₯ 390K Β· ⏱️ 24.09.2024): +- [Conda](https://anaconda.org/conda-forge/sentence-transformers) (πŸ“₯ 400K Β· ⏱️ 24.09.2024): ``` conda install -c conda-forge sentence-transformers ``` @@ -1531,7 +1531,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/RaRe-Technologies/gensim ``` -- [PyPi](https://pypi.org/project/gensim) (πŸ“₯ 4.4M / month Β· πŸ“¦ 1.4K Β· ⏱️ 19.07.2024): +- [PyPi](https://pypi.org/project/gensim) (πŸ“₯ 4.5M / month Β· πŸ“¦ 1.4K Β· ⏱️ 19.07.2024): ``` pip install gensim ``` @@ -1542,12 +1542,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
Tokenizers (πŸ₯‡40 Β· ⭐ 8.9K) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2 -- [GitHub](https://github.com/huggingface/tokenizers) (πŸ‘¨β€πŸ’» 93 Β· πŸ”€ 760 Β· πŸ“₯ 63 Β· πŸ“¦ 100K Β· πŸ“‹ 980 - 3% open Β· ⏱️ 12.08.2024): +- [GitHub](https://github.com/huggingface/tokenizers) (πŸ‘¨β€πŸ’» 93 Β· πŸ”€ 760 Β· πŸ“₯ 65 Β· πŸ“¦ 110K Β· πŸ“‹ 980 - 3% open Β· ⏱️ 01.10.2024): ``` git clone https://github.com/huggingface/tokenizers ``` -- [PyPi](https://pypi.org/project/tokenizers) (πŸ“₯ 30M / month Β· πŸ“¦ 910 Β· ⏱️ 08.08.2024): +- [PyPi](https://pypi.org/project/tokenizers) (πŸ“₯ 31M / month Β· πŸ“¦ 910 Β· ⏱️ 08.08.2024): ``` pip install tokenizers ``` @@ -1556,18 +1556,6 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge tokenizers ```
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Rasa (πŸ₯‡39 Β· ⭐ 19K) - Open source machine learning framework to automate text- and voice-.. Apache-2 - -- [GitHub](https://github.com/RasaHQ/rasa) (πŸ‘¨β€πŸ’» 600 Β· πŸ”€ 4.6K Β· πŸ“¦ 4.5K Β· πŸ“‹ 6.8K - 1% open Β· ⏱️ 21.03.2024): - - ``` - git clone https://github.com/RasaHQ/rasa - ``` -- [PyPi](https://pypi.org/project/rasa) (πŸ“₯ 160K / month Β· πŸ“¦ 60 Β· ⏱️ 18.04.2024): - ``` - pip install rasa - ``` -
flair (πŸ₯‡39 Β· ⭐ 14K) - A very simple framework for state-of-the-art Natural Language Processing.. MIT - [GitHub](https://github.com/flairNLP/flair) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 2.1K Β· πŸ“¦ 3.5K Β· πŸ“‹ 2.3K - 4% open Β· ⏱️ 30.08.2024): @@ -1575,62 +1563,74 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/flairNLP/flair ``` -- [PyPi](https://pypi.org/project/flair) (πŸ“₯ 92K / month Β· πŸ“¦ 140 Β· ⏱️ 25.07.2024): +- [PyPi](https://pypi.org/project/flair) (πŸ“₯ 93K / month Β· πŸ“¦ 140 Β· ⏱️ 25.07.2024): ``` pip install flair ``` -- [Conda](https://anaconda.org/conda-forge/python-flair) (πŸ“₯ 31K Β· ⏱️ 05.01.2024): +- [Conda](https://anaconda.org/conda-forge/python-flair) (πŸ“₯ 32K Β· ⏱️ 05.01.2024): ``` conda install -c conda-forge python-flair ```
+
Rasa (πŸ₯‡38 Β· ⭐ 19K Β· πŸ’€) - Open source machine learning framework to automate text- and.. Apache-2 + +- [GitHub](https://github.com/RasaHQ/rasa) (πŸ‘¨β€πŸ’» 600 Β· πŸ”€ 4.6K Β· πŸ“¦ 4.5K Β· πŸ“‹ 6.8K - 1% open Β· ⏱️ 21.03.2024): + + ``` + git clone https://github.com/RasaHQ/rasa + ``` +- [PyPi](https://pypi.org/project/rasa) (πŸ“₯ 150K / month Β· πŸ“¦ 60 Β· ⏱️ 18.04.2024): + ``` + pip install rasa + ``` +
sentencepiece (πŸ₯‡38 Β· ⭐ 10K) - Unsupervised text tokenizer for Neural Network-based text.. Apache-2 -- [GitHub](https://github.com/google/sentencepiece) (πŸ‘¨β€πŸ’» 89 Β· πŸ”€ 1.2K Β· πŸ“₯ 42K Β· πŸ“¦ 78K Β· πŸ“‹ 740 - 4% open Β· ⏱️ 18.08.2024): +- [GitHub](https://github.com/google/sentencepiece) (πŸ‘¨β€πŸ’» 89 Β· πŸ”€ 1.2K Β· πŸ“₯ 44K Β· πŸ“¦ 78K Β· πŸ“‹ 750 - 4% open Β· ⏱️ 18.08.2024): ``` git clone https://github.com/google/sentencepiece ``` -- [PyPi](https://pypi.org/project/sentencepiece) (πŸ“₯ 21M / month Β· πŸ“¦ 1.7K Β· ⏱️ 19.02.2024): +- [PyPi](https://pypi.org/project/sentencepiece) (πŸ“₯ 22M / month Β· πŸ“¦ 1.7K Β· ⏱️ 19.02.2024): ``` pip install sentencepiece ``` -- [Conda](https://anaconda.org/conda-forge/sentencepiece) (πŸ“₯ 1M Β· ⏱️ 24.09.2024): +- [Conda](https://anaconda.org/conda-forge/sentencepiece) (πŸ“₯ 1M Β· ⏱️ 28.09.2024): ``` conda install -c conda-forge sentencepiece ```
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TextBlob (πŸ₯‡37 Β· ⭐ 9.1K) - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech.. MIT +
NeMo (πŸ₯‡36 Β· ⭐ 12K) - A scalable generative AI framework built for researchers and.. Apache-2 -- [GitHub](https://github.com/sloria/TextBlob) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 1.1K Β· πŸ“₯ 120 Β· πŸ“¦ 43K Β· πŸ“‹ 280 - 38% open Β· ⏱️ 07.08.2024): +- [GitHub](https://github.com/NVIDIA/NeMo) (πŸ‘¨β€πŸ’» 350 Β· πŸ”€ 2.4K Β· πŸ“₯ 260K Β· πŸ“¦ 21 Β· πŸ“‹ 2.4K - 6% open Β· ⏱️ 03.10.2024): ``` - git clone https://github.com/sloria/TextBlob - ``` -- [PyPi](https://pypi.org/project/textblob) (πŸ“₯ 3.1M / month Β· πŸ“¦ 380 Β· ⏱️ 15.02.2024): - ``` - pip install textblob + git clone https://github.com/NVIDIA/NeMo ``` -- [Conda](https://anaconda.org/conda-forge/textblob) (πŸ“₯ 260K Β· ⏱️ 16.06.2023): +- [PyPi](https://pypi.org/project/nemo-toolkit) (πŸ“₯ 130K / month Β· πŸ“¦ 13 Β· ⏱️ 15.08.2024): ``` - conda install -c conda-forge textblob + pip install nemo-toolkit ```
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NeMo (πŸ₯ˆ36 Β· ⭐ 12K) - A scalable generative AI framework built for researchers and.. Apache-2 +
TextBlob (πŸ₯‡36 Β· ⭐ 9.1K) - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech.. MIT -- [GitHub](https://github.com/NVIDIA/NeMo) (πŸ‘¨β€πŸ’» 350 Β· πŸ”€ 2.4K Β· πŸ“₯ 250K Β· πŸ“¦ 21 Β· πŸ“‹ 2.3K - 5% open Β· ⏱️ 26.09.2024): +- [GitHub](https://github.com/sloria/TextBlob) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 1.1K Β· πŸ“₯ 120 Β· πŸ“¦ 43K Β· πŸ“‹ 280 - 38% open Β· ⏱️ 07.08.2024): ``` - git clone https://github.com/NVIDIA/NeMo + git clone https://github.com/sloria/TextBlob ``` -- [PyPi](https://pypi.org/project/nemo-toolkit) (πŸ“₯ 86K / month Β· πŸ“¦ 13 Β· ⏱️ 15.08.2024): +- [PyPi](https://pypi.org/project/textblob) (πŸ“₯ 3.1M / month Β· πŸ“¦ 390 Β· ⏱️ 15.02.2024): ``` - pip install nemo-toolkit + pip install textblob + ``` +- [Conda](https://anaconda.org/conda-forge/textblob) (πŸ“₯ 260K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge textblob ```
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spark-nlp (πŸ₯ˆ36 Β· ⭐ 3.8K) - State of the Art Natural Language Processing. Apache-2 +
spark-nlp (πŸ₯‡36 Β· ⭐ 3.8K) - State of the Art Natural Language Processing. Apache-2 -- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 710 Β· πŸ“¦ 500 Β· πŸ“‹ 890 - 4% open Β· ⏱️ 25.09.2024): +- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 710 Β· πŸ“¦ 510 Β· πŸ“‹ 890 - 4% open Β· ⏱️ 28.09.2024): ``` git clone https://github.com/JohnSnowLabs/spark-nlp @@ -1642,28 +1642,28 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
fairseq (πŸ₯ˆ35 Β· ⭐ 30K) - Facebook AI Research Sequence-to-Sequence Toolkit written in Python. MIT -- [GitHub](https://github.com/facebookresearch/fairseq) (πŸ‘¨β€πŸ’» 430 Β· πŸ”€ 6.4K Β· πŸ“₯ 360 Β· πŸ“¦ 3.6K Β· πŸ“‹ 4.3K - 29% open Β· ⏱️ 22.07.2024): +- [GitHub](https://github.com/facebookresearch/fairseq) (πŸ‘¨β€πŸ’» 430 Β· πŸ”€ 6.4K Β· πŸ“₯ 360 Β· πŸ“¦ 3.6K Β· πŸ“‹ 4.3K - 29% open Β· ⏱️ 27.09.2024): ``` git clone https://github.com/facebookresearch/fairseq ``` -- [PyPi](https://pypi.org/project/fairseq) (πŸ“₯ 160K / month Β· πŸ“¦ 120 Β· ⏱️ 27.06.2022): +- [PyPi](https://pypi.org/project/fairseq) (πŸ“₯ 150K / month Β· πŸ“¦ 120 Β· ⏱️ 27.06.2022): ``` pip install fairseq ``` -- [Conda](https://anaconda.org/conda-forge/fairseq) (πŸ“₯ 93K Β· ⏱️ 22.09.2024): +- [Conda](https://anaconda.org/conda-forge/fairseq) (πŸ“₯ 94K Β· ⏱️ 22.09.2024): ``` conda install -c conda-forge fairseq ```
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fastText (πŸ₯ˆ35 Β· ⭐ 26K) - Library for fast text representation and classification. MIT +
fastText (πŸ₯ˆ35 Β· ⭐ 26K Β· πŸ’€) - Library for fast text representation and classification. MIT - [GitHub](https://github.com/facebookresearch/fastText) (πŸ‘¨β€πŸ’» 68 Β· πŸ”€ 4.7K Β· πŸ“¦ 6.6K Β· πŸ“‹ 1.2K - 47% open Β· ⏱️ 13.03.2024): ``` git clone https://github.com/facebookresearch/fastText ``` -- [PyPi](https://pypi.org/project/fasttext) (πŸ“₯ 1.7M / month Β· πŸ“¦ 250 Β· ⏱️ 12.06.2024): +- [PyPi](https://pypi.org/project/fasttext) (πŸ“₯ 1.8M / month Β· πŸ“¦ 250 Β· ⏱️ 12.06.2024): ``` pip install fasttext ``` @@ -1674,12 +1674,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
haystack (πŸ₯ˆ35 Β· ⭐ 17K) - AI orchestration framework to build customizable, production-ready.. Apache-2 -- [GitHub](https://github.com/deepset-ai/haystack) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 1.8K Β· πŸ“¦ 520 Β· πŸ“‹ 3.5K - 3% open Β· ⏱️ 26.09.2024): +- [GitHub](https://github.com/deepset-ai/haystack) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 1.9K Β· πŸ“¦ 540 Β· πŸ“‹ 3.5K - 3% open Β· ⏱️ 02.10.2024): ``` git clone https://github.com/deepset-ai/haystack ``` -- [PyPi](https://pypi.org/project/haystack) (πŸ“₯ 6K / month Β· πŸ“¦ 5 Β· ⏱️ 15.12.2021): +- [PyPi](https://pypi.org/project/haystack) (πŸ“₯ 5.9K / month Β· πŸ“¦ 5 Β· ⏱️ 15.12.2021): ``` pip install haystack ``` @@ -1691,7 +1691,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/stanfordnlp/stanza ``` -- [PyPi](https://pypi.org/project/stanza) (πŸ“₯ 340K / month Β· πŸ“¦ 180 Β· ⏱️ 12.09.2024): +- [PyPi](https://pypi.org/project/stanza) (πŸ“₯ 310K / month Β· πŸ“¦ 180 Β· ⏱️ 12.09.2024): ``` pip install stanza ``` @@ -1702,7 +1702,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
rubrix (πŸ₯ˆ34 Β· ⭐ 3.8K) - Argilla is a collaboration tool for AI engineers and domain experts.. Apache-2 -- [GitHub](https://github.com/argilla-io/argilla) (πŸ‘¨β€πŸ’» 95 Β· πŸ”€ 360 Β· πŸ“¦ 2.7K Β· πŸ“‹ 2.1K - 6% open Β· ⏱️ 26.09.2024): +- [GitHub](https://github.com/argilla-io/argilla) (πŸ‘¨β€πŸ’» 96 Β· πŸ”€ 360 Β· πŸ“¦ 2.7K Β· πŸ“‹ 2.1K - 6% open Β· ⏱️ 03.10.2024): ``` git clone https://github.com/recognai/rubrix @@ -1723,7 +1723,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/jamesturk/jellyfish ``` -- [PyPi](https://pypi.org/project/jellyfish) (πŸ“₯ 5.4M / month Β· πŸ“¦ 270 Β· ⏱️ 28.07.2024): +- [PyPi](https://pypi.org/project/jellyfish) (πŸ“₯ 5.6M / month Β· πŸ“¦ 270 Β· ⏱️ 28.07.2024): ``` pip install jellyfish ``` @@ -1734,19 +1734,19 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
TensorFlow Text (πŸ₯ˆ34 Β· ⭐ 1.2K) - Making text a first-class citizen in TensorFlow. Apache-2 -- [GitHub](https://github.com/tensorflow/text) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 340 Β· πŸ“¦ 7.4K Β· πŸ“‹ 360 - 53% open Β· ⏱️ 05.09.2024): +- [GitHub](https://github.com/tensorflow/text) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 340 Β· πŸ“¦ 7.4K Β· πŸ“‹ 360 - 52% open Β· ⏱️ 05.09.2024): ``` git clone https://github.com/tensorflow/text ``` -- [PyPi](https://pypi.org/project/tensorflow-text) (πŸ“₯ 6.9M / month Β· πŸ“¦ 220 Β· ⏱️ 15.07.2024): +- [PyPi](https://pypi.org/project/tensorflow-text) (πŸ“₯ 7.2M / month Β· πŸ“¦ 220 Β· ⏱️ 30.09.2024): ``` pip install tensorflow-text ```
qdrant (πŸ₯ˆ33 Β· ⭐ 20K) - Qdrant - High-performance, massive-scale Vector Database for the next.. Apache-2 -- [GitHub](https://github.com/qdrant/qdrant) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.3K Β· πŸ“₯ 160K Β· πŸ“¦ 110 Β· πŸ“‹ 1.3K - 22% open Β· ⏱️ 23.09.2024): +- [GitHub](https://github.com/qdrant/qdrant) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.4K Β· πŸ“₯ 180K Β· πŸ“¦ 110 Β· πŸ“‹ 1.3K - 23% open Β· ⏱️ 23.09.2024): ``` git clone https://github.com/qdrant/qdrant @@ -1754,7 +1754,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
ftfy (πŸ₯ˆ33 Β· ⭐ 3.8K) - Fixes mojibake and other glitches in Unicode text, after the fact. Apache-2 -- [GitHub](https://github.com/rspeer/python-ftfy) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 120 Β· πŸ“₯ 13 Β· πŸ“¦ 23K Β· πŸ“‹ 140 - 9% open Β· ⏱️ 06.08.2024): +- [GitHub](https://github.com/rspeer/python-ftfy) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 120 Β· πŸ“₯ 14 Β· πŸ“¦ 23K Β· πŸ“‹ 140 - 9% open Β· ⏱️ 06.08.2024): ``` git clone https://github.com/rspeer/python-ftfy @@ -1768,18 +1768,6 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge ftfy ```
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torchtext (πŸ₯ˆ33 Β· ⭐ 3.5K) - Models, data loaders and abstractions for language processing,.. BSD-3 - -- [GitHub](https://github.com/pytorch/text) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 810 Β· πŸ“‹ 850 - 38% open Β· ⏱️ 14.08.2024): - - ``` - git clone https://github.com/pytorch/text - ``` -- [PyPi](https://pypi.org/project/torchtext) (πŸ“₯ 1.1M / month Β· πŸ“¦ 280 Β· ⏱️ 24.04.2024): - ``` - pip install torchtext - ``` -
ParlAI (πŸ₯ˆ32 Β· ⭐ 10K Β· πŸ’€) - A framework for training and evaluating AI models on a variety of.. MIT - [GitHub](https://github.com/facebookresearch/ParlAI) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 2.1K Β· πŸ“¦ 250 Β· πŸ“‹ 1.5K - 3% open Β· ⏱️ 03.11.2023): @@ -1787,7 +1775,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/facebookresearch/ParlAI ``` -- [PyPi](https://pypi.org/project/parlai) (πŸ“₯ 3.5K / month Β· πŸ“¦ 5 Β· ⏱️ 20.09.2022): +- [PyPi](https://pypi.org/project/parlai) (πŸ“₯ 3.3K / month Β· πŸ“¦ 5 Β· ⏱️ 20.09.2022): ``` pip install parlai ``` @@ -1799,7 +1787,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/OpenNMT/OpenNMT-py ``` -- [PyPi](https://pypi.org/project/OpenNMT-py) (πŸ“₯ 8.4K / month Β· πŸ“¦ 23 Β· ⏱️ 18.03.2024): +- [PyPi](https://pypi.org/project/OpenNMT-py) (πŸ“₯ 9.1K / month Β· πŸ“¦ 23 Β· ⏱️ 18.03.2024): ``` pip install OpenNMT-py ``` @@ -1815,11 +1803,23 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` pip install dedupe ``` -- [Conda](https://anaconda.org/conda-forge/dedupe) (πŸ“₯ 73K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/dedupe) (πŸ“₯ 74K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge dedupe ```
+
torchtext (πŸ₯ˆ32 Β· ⭐ 3.5K) - Models, data loaders and abstractions for language processing,.. BSD-3 + +- [GitHub](https://github.com/pytorch/text) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 810 Β· πŸ“‹ 850 - 38% open Β· ⏱️ 14.08.2024): + + ``` + git clone https://github.com/pytorch/text + ``` +- [PyPi](https://pypi.org/project/torchtext) (πŸ“₯ 1.2M / month Β· πŸ“¦ 280 Β· ⏱️ 24.04.2024): + ``` + pip install torchtext + ``` +
DeepPavlov (πŸ₯ˆ31 Β· ⭐ 6.7K) - An open source library for deep learning end-to-end dialog.. Apache-2 - [GitHub](https://github.com/deeppavlov/DeepPavlov) (πŸ‘¨β€πŸ’» 77 Β· πŸ”€ 1.1K Β· πŸ“¦ 410 Β· πŸ“‹ 640 - 3% open Β· ⏱️ 12.08.2024): @@ -1839,43 +1839,27 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/life4/textdistance ``` -- [PyPi](https://pypi.org/project/textdistance) (πŸ“₯ 860K / month Β· πŸ“¦ 99 Β· ⏱️ 16.07.2024): +- [PyPi](https://pypi.org/project/textdistance) (πŸ“₯ 900K / month Β· πŸ“¦ 99 Β· ⏱️ 16.07.2024): ``` pip install textdistance ``` -- [Conda](https://anaconda.org/conda-forge/textdistance) (πŸ“₯ 620K Β· ⏱️ 17.07.2024): +- [Conda](https://anaconda.org/conda-forge/textdistance) (πŸ“₯ 630K Β· ⏱️ 17.07.2024): ``` conda install -c conda-forge textdistance ```
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spacy-transformers (πŸ₯ˆ30 Β· ⭐ 1.3K) - Use pretrained transformers like BERT, XLNet and GPT-2.. MIT spacy - -- [GitHub](https://github.com/explosion/spacy-transformers) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 160 Β· πŸ“¦ 1.9K Β· ⏱️ 05.06.2024): - - ``` - git clone https://github.com/explosion/spacy-transformers - ``` -- [PyPi](https://pypi.org/project/spacy-transformers) (πŸ“₯ 470K / month Β· πŸ“¦ 87 Β· ⏱️ 25.04.2024): - ``` - pip install spacy-transformers - ``` -- [Conda](https://anaconda.org/conda-forge/spacy-transformers) (πŸ“₯ 64K Β· ⏱️ 19.12.2023): - ``` - conda install -c conda-forge spacy-transformers - ``` -
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snowballstemmer (πŸ₯ˆ30 Β· ⭐ 750) - Snowball compiler and stemming algorithms. BSD-3 +
snowballstemmer (πŸ₯ˆ30 Β· ⭐ 760) - Snowball compiler and stemming algorithms. BSD-3 - [GitHub](https://github.com/snowballstem/snowball) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 170 Β· πŸ“¦ 10 Β· πŸ“‹ 89 - 30% open Β· ⏱️ 10.09.2024): ``` git clone https://github.com/snowballstem/snowball ``` -- [PyPi](https://pypi.org/project/snowballstemmer) (πŸ“₯ 20M / month Β· πŸ“¦ 440 Β· ⏱️ 16.11.2021): +- [PyPi](https://pypi.org/project/snowballstemmer) (πŸ“₯ 23M / month Β· πŸ“¦ 450 Β· ⏱️ 16.11.2021): ``` pip install snowballstemmer ``` -- [Conda](https://anaconda.org/conda-forge/snowballstemmer) (πŸ“₯ 8.6M Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/snowballstemmer) (πŸ“₯ 8.7M Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge snowballstemmer ``` @@ -1887,7 +1871,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/miso-belica/sumy ``` -- [PyPi](https://pypi.org/project/sumy) (πŸ“₯ 480K / month Β· πŸ“¦ 30 Β· ⏱️ 23.10.2022): +- [PyPi](https://pypi.org/project/sumy) (πŸ“₯ 480K / month Β· πŸ“¦ 31 Β· ⏱️ 23.10.2022): ``` pip install sumy ``` @@ -1898,24 +1882,40 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
SciSpacy (πŸ₯ˆ29 Β· ⭐ 1.7K) - A full spaCy pipeline and models for scientific/biomedical documents. Apache-2 -- [GitHub](https://github.com/allenai/scispacy) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 220 Β· πŸ“¦ 960 Β· πŸ“‹ 320 - 10% open Β· ⏱️ 15.09.2024): +- [GitHub](https://github.com/allenai/scispacy) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 220 Β· πŸ“¦ 970 Β· πŸ“‹ 320 - 9% open Β· ⏱️ 15.09.2024): ``` git clone https://github.com/allenai/scispacy ``` -- [PyPi](https://pypi.org/project/scispacy) (πŸ“₯ 21K / month Β· πŸ“¦ 34 Β· ⏱️ 08.03.2024): +- [PyPi](https://pypi.org/project/scispacy) (πŸ“₯ 22K / month Β· πŸ“¦ 34 Β· ⏱️ 08.03.2024): ``` pip install scispacy ```
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CLTK (πŸ₯ˆ28 Β· ⭐ 830) - The Classical Language Toolkit. MIT +
spacy-transformers (πŸ₯ˆ29 Β· ⭐ 1.3K) - Use pretrained transformers like BERT, XLNet and GPT-2.. MIT spacy + +- [GitHub](https://github.com/explosion/spacy-transformers) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 160 Β· πŸ“¦ 1.9K Β· ⏱️ 05.06.2024): + + ``` + git clone https://github.com/explosion/spacy-transformers + ``` +- [PyPi](https://pypi.org/project/spacy-transformers) (πŸ“₯ 550K / month Β· πŸ“¦ 87 Β· ⏱️ 25.04.2024): + ``` + pip install spacy-transformers + ``` +- [Conda](https://anaconda.org/conda-forge/spacy-transformers): + ``` + conda install -c conda-forge spacy-transformers + ``` +
+
CLTK (πŸ₯ˆ28 Β· ⭐ 840) - The Classical Language Toolkit. MIT - [GitHub](https://github.com/cltk/cltk) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 330 Β· πŸ“₯ 94 Β· πŸ“¦ 270 Β· πŸ“‹ 570 - 6% open Β· ⏱️ 12.05.2024): ``` git clone https://github.com/cltk/cltk ``` -- [PyPi](https://pypi.org/project/cltk) (πŸ“₯ 3.7K / month Β· πŸ“¦ 15 Β· ⏱️ 12.05.2024): +- [PyPi](https://pypi.org/project/cltk) (πŸ“₯ 4.6K / month Β· πŸ“¦ 15 Β· ⏱️ 12.05.2024): ``` pip install cltk ``` @@ -1927,7 +1927,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/Ciphey/Ciphey ``` -- [PyPi](https://pypi.org/project/ciphey) (πŸ“₯ 44K / month Β· ⏱️ 06.06.2021): +- [PyPi](https://pypi.org/project/ciphey) (πŸ“₯ 45K / month Β· ⏱️ 06.06.2021): ``` pip install ciphey ``` @@ -1943,7 +1943,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/dwyl/english-words ``` -- [PyPi](https://pypi.org/project/english-words) (πŸ“₯ 68K / month Β· πŸ“¦ 14 Β· ⏱️ 24.05.2023): +- [PyPi](https://pypi.org/project/english-words) (πŸ“₯ 67K / month Β· πŸ“¦ 14 Β· ⏱️ 24.05.2023): ``` pip install english-words ``` @@ -1955,26 +1955,14 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/zjunlp/deepke ``` -- [PyPi](https://pypi.org/project/deepke) (πŸ“₯ 2.4K / month Β· ⏱️ 21.09.2023): +- [PyPi](https://pypi.org/project/deepke) (πŸ“₯ 2.5K / month Β· ⏱️ 21.09.2023): ``` pip install deepke ```
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PyTextRank (πŸ₯ˆ27 Β· ⭐ 2.1K) - Python implementation of TextRank algorithms (textgraphs) for phrase.. MIT - -- [GitHub](https://github.com/DerwenAI/pytextrank) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 340 Β· πŸ“¦ 710 Β· πŸ“‹ 100 - 12% open Β· ⏱️ 21.05.2024): - - ``` - git clone https://github.com/DerwenAI/pytextrank - ``` -- [PyPi](https://pypi.org/project/pytextrank) (πŸ“₯ 62K / month Β· πŸ“¦ 19 Β· ⏱️ 21.02.2024): - ``` - pip install pytextrank - ``` -
scattertext (πŸ₯‰26 Β· ⭐ 2.2K) - Beautiful visualizations of how language differs among document.. Apache-2 -- [GitHub](https://github.com/JasonKessler/scattertext) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 290 Β· πŸ“¦ 620 Β· πŸ“‹ 100 - 21% open Β· ⏱️ 23.09.2024): +- [GitHub](https://github.com/JasonKessler/scattertext) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 290 Β· πŸ“¦ 630 Β· πŸ“‹ 100 - 21% open Β· ⏱️ 23.09.2024): ``` git clone https://github.com/JasonKessler/scattertext @@ -1988,14 +1976,26 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge scattertext ```
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T5 (πŸ₯‰25 Β· ⭐ 6.1K Β· πŸ“ˆ) - Code for the paper Exploring the Limits of Transfer Learning with.. Apache-2 +
PyTextRank (πŸ₯‰26 Β· ⭐ 2.1K) - Python implementation of TextRank algorithms (textgraphs) for phrase.. MIT + +- [GitHub](https://github.com/DerwenAI/pytextrank) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 340 Β· πŸ“¦ 720 Β· πŸ“‹ 100 - 12% open Β· ⏱️ 21.05.2024): + + ``` + git clone https://github.com/DerwenAI/pytextrank + ``` +- [PyPi](https://pypi.org/project/pytextrank) (πŸ“₯ 65K / month Β· πŸ“¦ 19 Β· ⏱️ 21.02.2024): + ``` + pip install pytextrank + ``` +
+
T5 (πŸ₯‰24 Β· ⭐ 6.1K) - Code for the paper Exploring the Limits of Transfer Learning with a.. Apache-2 - [GitHub](https://github.com/google-research/text-to-text-transfer-transformer) (πŸ‘¨β€πŸ’» 59 Β· πŸ”€ 750 Β· πŸ“‹ 450 - 23% open Β· ⏱️ 28.06.2024): ``` git clone https://github.com/google-research/text-to-text-transfer-transformer ``` -- [PyPi](https://pypi.org/project/t5) (πŸ“₯ 61K / month Β· πŸ“¦ 2 Β· ⏱️ 18.10.2021): +- [PyPi](https://pypi.org/project/t5) (πŸ“₯ 58K / month Β· πŸ“¦ 2 Β· ⏱️ 18.10.2021): ``` pip install t5 ``` @@ -2007,21 +2007,21 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/bigscience-workshop/promptsource ``` -- [PyPi](https://pypi.org/project/promptsource) (πŸ“₯ 440 / month Β· πŸ“¦ 4 Β· ⏱️ 18.04.2022): +- [PyPi](https://pypi.org/project/promptsource) (πŸ“₯ 410 / month Β· πŸ“¦ 4 Β· ⏱️ 18.04.2022): ``` pip install promptsource ```
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detoxify (πŸ₯‰23 Β· ⭐ 930) - Trained models & code to predict toxic comments on all 3 Jigsaw.. Apache-2 +
Opik (πŸ₯‰24 Β· ⭐ 1.5K Β· βž•) - Open-source end-to-end LLM Development Platform. Apache-2 -- [GitHub](https://github.com/unitaryai/detoxify) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 120 Β· πŸ“₯ 670K Β· πŸ“¦ 690 Β· πŸ“‹ 67 - 56% open Β· ⏱️ 19.09.2024): +- [GitHub](https://github.com/comet-ml/opik) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 87 Β· πŸ“‹ 23 - 30% open Β· ⏱️ 03.10.2024): ``` - git clone https://github.com/unitaryai/detoxify + git clone https://github.com/comet-ml/opik ``` -- [PyPi](https://pypi.org/project/detoxify) (πŸ“₯ 28K / month Β· πŸ“¦ 30 Β· ⏱️ 01.02.2024): +- [PyPi](https://pypi.org/project/opik) (πŸ“₯ 2.5K / month Β· ⏱️ 03.10.2024): ``` - pip install detoxify + pip install opik ```
small-text (πŸ₯‰23 Β· ⭐ 550) - Active Learning for Text Classification in Python. MIT @@ -2031,16 +2031,16 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/webis-de/small-text ``` -- [PyPi](https://pypi.org/project/small-text) (πŸ“₯ 760 / month Β· ⏱️ 18.08.2024): +- [PyPi](https://pypi.org/project/small-text) (πŸ“₯ 990 / month Β· ⏱️ 18.08.2024): ``` pip install small-text ``` -- [Conda](https://anaconda.org/conda-forge/small-text) (πŸ“₯ 9.2K Β· ⏱️ 18.08.2024): +- [Conda](https://anaconda.org/conda-forge/small-text) (πŸ“₯ 9.3K Β· ⏱️ 18.08.2024): ``` conda install -c conda-forge small-text ```
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happy-transformer (πŸ₯‰23 Β· ⭐ 520) - Happy Transformer makes it easy to fine-tune and.. Apache-2 huggingface +
happy-transformer (πŸ₯‰23 Β· ⭐ 520 Β· πŸ’€) - Happy Transformer makes it easy to fine-tune and.. Apache-2 huggingface - [GitHub](https://github.com/EricFillion/happy-transformer) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 66 Β· πŸ“¦ 280 Β· πŸ“‹ 130 - 15% open Β· ⏱️ 19.03.2024): @@ -2059,7 +2059,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/utterworks/fast-bert ``` -- [PyPi](https://pypi.org/project/fast-bert) (πŸ“₯ 1.6K / month Β· ⏱️ 19.08.2024): +- [PyPi](https://pypi.org/project/fast-bert) (πŸ“₯ 1.7K / month Β· ⏱️ 19.08.2024): ``` pip install fast-bert ``` @@ -2071,11 +2071,23 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/awslabs/sockeye ``` -- [PyPi](https://pypi.org/project/sockeye) (πŸ“₯ 1.7K / month Β· ⏱️ 03.03.2023): +- [PyPi](https://pypi.org/project/sockeye) (πŸ“₯ 2.3K / month Β· ⏱️ 03.03.2023): ``` pip install sockeye ```
+
detoxify (πŸ₯‰22 Β· ⭐ 930) - Trained models & code to predict toxic comments on all 3 Jigsaw.. Apache-2 + +- [GitHub](https://github.com/unitaryai/detoxify) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 120 Β· πŸ“₯ 680K Β· πŸ“¦ 690 Β· πŸ“‹ 67 - 56% open Β· ⏱️ 19.09.2024): + + ``` + git clone https://github.com/unitaryai/detoxify + ``` +- [PyPi](https://pypi.org/project/detoxify) (πŸ“₯ 33K / month Β· πŸ“¦ 30 Β· ⏱️ 01.02.2024): + ``` + pip install detoxify + ``` +
finetune (πŸ₯‰22 Β· ⭐ 700) - Scikit-learn style model finetuning for NLP. MPL-2.0 - [GitHub](https://github.com/IndicoDataSolutions/finetune) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 80 Β· πŸ“¦ 12 Β· πŸ“‹ 140 - 15% open Β· ⏱️ 23.07.2024): @@ -2083,26 +2095,26 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/IndicoDataSolutions/finetune ``` -- [PyPi](https://pypi.org/project/finetune) (πŸ“₯ 870 / month Β· πŸ“¦ 2 Β· ⏱️ 29.09.2023): +- [PyPi](https://pypi.org/project/finetune) (πŸ“₯ 980 / month Β· πŸ“¦ 2 Β· ⏱️ 29.09.2023): ``` pip install finetune ```
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UForm (πŸ₯‰18 Β· ⭐ 1K) - Pocket-Sized Multimodal AI for content understanding and generation.. Apache-2 +
UForm (πŸ₯‰20 Β· ⭐ 1K Β· πŸ“ˆ) - Pocket-Sized Multimodal AI for content understanding and.. Apache-2 -- [GitHub](https://github.com/unum-cloud/uform) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 60 Β· πŸ“₯ 400 Β· πŸ“¦ 6 Β· πŸ“‹ 29 - 27% open Β· ⏱️ 25.04.2024): +- [GitHub](https://github.com/unum-cloud/uform) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 61 Β· πŸ“₯ 410 Β· πŸ“¦ 6 Β· πŸ“‹ 30 - 30% open Β· ⏱️ 01.10.2024): ``` git clone https://github.com/unum-cloud/uform ``` -- [PyPi](https://pypi.org/project/uform) (πŸ“₯ 1K / month Β· πŸ“¦ 1 Β· ⏱️ 25.04.2024): +- [PyPi](https://pypi.org/project/uform) (πŸ“₯ 1.5K / month Β· πŸ“¦ 2 Β· ⏱️ 01.10.2024): ``` pip install uform ```
textaugment (πŸ₯‰18 Β· ⭐ 400 Β· πŸ’€) - TextAugment: Text Augmentation Library. MIT -- [GitHub](https://github.com/dsfsi/textaugment) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 60 Β· πŸ“₯ 110 Β· πŸ“¦ 120 Β· πŸ“‹ 29 - 37% open Β· ⏱️ 17.11.2023): +- [GitHub](https://github.com/dsfsi/textaugment) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 60 Β· πŸ“₯ 110 Β· πŸ“¦ 130 Β· πŸ“‹ 29 - 37% open Β· ⏱️ 17.11.2023): ``` git clone https://github.com/dsfsi/textaugment @@ -2120,53 +2132,53 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we git clone https://github.com/thunlp/OpenNRE ```
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VizSeq (πŸ₯‰16 Β· ⭐ 440) - An Analysis Toolkit for Natural Language Generation (Translation,.. MIT +
VizSeq (πŸ₯‰15 Β· ⭐ 440) - An Analysis Toolkit for Natural Language Generation (Translation,.. MIT -- [GitHub](https://github.com/facebookresearch/vizseq) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 61 Β· πŸ“¦ 11 Β· πŸ“‹ 16 - 43% open Β· ⏱️ 18.06.2024): +- [GitHub](https://github.com/facebookresearch/vizseq) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 61 Β· πŸ“¦ 11 Β· πŸ“‹ 16 - 43% open Β· ⏱️ 28.09.2024): ``` git clone https://github.com/facebookresearch/vizseq ``` -- [PyPi](https://pypi.org/project/vizseq) (πŸ“₯ 100 / month Β· ⏱️ 07.08.2020): +- [PyPi](https://pypi.org/project/vizseq) (πŸ“₯ 140 / month Β· ⏱️ 07.08.2020): ``` pip install vizseq ```
Show 52 hidden projects... -- AllenNLP (πŸ₯ˆ36 Β· ⭐ 12K Β· πŸ’€) - An open-source NLP research library, built on PyTorch. Apache-2 -- ChatterBot (πŸ₯ˆ34 Β· ⭐ 14K Β· πŸ’€) - ChatterBot is a machine learning, conversational dialog engine.. BSD-3 +- AllenNLP (πŸ₯‡36 Β· ⭐ 12K Β· πŸ’€) - An open-source NLP research library, built on PyTorch. Apache-2 +- ChatterBot (πŸ₯ˆ35 Β· ⭐ 14K Β· πŸ’€) - ChatterBot is a machine learning, conversational dialog engine.. BSD-3 - fuzzywuzzy (πŸ₯ˆ31 Β· ⭐ 9.2K Β· πŸ’€) - Fuzzy String Matching in Python. ❗️GPL-2.0 - nlpaug (πŸ₯ˆ29 Β· ⭐ 4.4K Β· πŸ’€) - Data augmentation for NLP. MIT - fastNLP (πŸ₯ˆ29 Β· ⭐ 3.1K Β· πŸ’€) - fastNLP: A Modularized and Extensible NLP Framework. Currently.. Apache-2 - GluonNLP (πŸ₯ˆ29 Β· ⭐ 2.6K Β· πŸ’€) - Toolkit that enables easy text preprocessing, datasets.. Apache-2 - langid (πŸ₯ˆ28 Β· ⭐ 2.3K Β· πŸ’€) - Stand-alone language identification system. BSD-3 -- flashtext (πŸ₯ˆ27 Β· ⭐ 5.6K Β· πŸ’€) - Extract Keywords from sentence or Replace keywords in sentences. MIT - vaderSentiment (πŸ₯ˆ27 Β· ⭐ 4.4K Β· πŸ’€) - VADER Sentiment Analysis. VADER (Valence Aware Dictionary.. MIT - textacy (πŸ₯ˆ27 Β· ⭐ 2.2K Β· πŸ’€) - NLP, before and after spaCy. ❗Unlicensed +- FARM (πŸ₯ˆ27 Β· ⭐ 1.7K Β· πŸ’€) - Fast & easy transfer learning for NLP. Harvesting language.. Apache-2 - underthesea (πŸ₯ˆ27 Β· ⭐ 1.4K) - Underthesea - Vietnamese NLP Toolkit. ❗️GPL-3.0 +- pySBD (πŸ₯ˆ27 Β· ⭐ 790 Β· πŸ’€) - pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence.. MIT +- flashtext (πŸ₯‰26 Β· ⭐ 5.6K Β· πŸ’€) - Extract Keywords from sentence or Replace keywords in sentences. MIT - polyglot (πŸ₯‰26 Β· ⭐ 2.3K Β· πŸ’€) - Multilingual text (NLP) processing toolkit. ❗️GPL-3.0 -- FARM (πŸ₯‰26 Β· ⭐ 1.7K Β· πŸ’€) - Fast & easy transfer learning for NLP. Harvesting language.. Apache-2 -- pySBD (πŸ₯‰26 Β· ⭐ 780 Β· πŸ’€) - pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence.. MIT - PyText (πŸ₯‰25 Β· ⭐ 6.3K Β· πŸ’€) - A natural language modeling framework based on PyTorch. BSD-3 -- OpenPrompt (πŸ₯‰25 Β· ⭐ 4.3K Β· πŸ’€) - An Open-Source Framework for Prompt-Learning. Apache-2 - Snips NLU (πŸ₯‰25 Β· ⭐ 3.9K Β· πŸ’€) - Snips Python library to extract meaning from text. Apache-2 - MatchZoo (πŸ₯‰25 Β· ⭐ 3.8K Β· πŸ’€) - Facilitating the design, comparison and sharing of deep.. Apache-2 - neuralcoref (πŸ₯‰25 Β· ⭐ 2.8K Β· πŸ’€) - Fast Coreference Resolution in spaCy with Neural Networks. MIT - Kashgari (πŸ₯‰25 Β· ⭐ 2.4K Β· πŸ’€) - Kashgari is a production-level NLP Transfer learning.. Apache-2 - pytorch-nlp (πŸ₯‰25 Β· ⭐ 2.2K Β· πŸ’€) - Basic Utilities for PyTorch Natural Language Processing.. BSD-3 -- whoosh (πŸ₯‰25 Β· ⭐ 570 Β· πŸ’€) - Pure-Python full-text search library. ❗️BSD-1-Clause - textgenrnn (πŸ₯‰24 Β· ⭐ 4.9K Β· πŸ’€) - Easily train your own text-generating neural network of any.. MIT +- OpenPrompt (πŸ₯‰24 Β· ⭐ 4.3K Β· πŸ’€) - An Open-Source Framework for Prompt-Learning. Apache-2 - sense2vec (πŸ₯‰24 Β· ⭐ 1.6K Β· πŸ’€) - Contextually-keyed word vectors. MIT +- whoosh (πŸ₯‰24 Β· ⭐ 570 Β· πŸ’€) - Pure-Python full-text search library. ❗️BSD-1-Clause +- jiant (πŸ₯‰23 Β· ⭐ 1.6K Β· πŸ’€) - jiant is an nlp toolkit. MIT - YouTokenToMe (πŸ₯‰23 Β· ⭐ 950 Β· πŸ’€) - Unsupervised text tokenizer focused on computational efficiency. MIT - gpt-2-simple (πŸ₯‰22 Β· ⭐ 3.4K Β· πŸ’€) - Python package to easily retrain OpenAIs GPT-2 text-.. MIT - NLP Architect (πŸ₯‰22 Β· ⭐ 2.9K Β· πŸ’€) - A model library for exploring state-of-the-art deep.. Apache-2 - Texthero (πŸ₯‰22 Β· ⭐ 2.9K Β· πŸ’€) - Text preprocessing, representation and visualization from zero to.. MIT - Texar (πŸ₯‰22 Β· ⭐ 2.4K Β· πŸ’€) - Toolkit for Machine Learning, Natural Language Processing, and.. Apache-2 -- jiant (πŸ₯‰22 Β· ⭐ 1.6K Β· πŸ’€) - jiant is an nlp toolkit. MIT - stop-words (πŸ₯‰22 Β· ⭐ 160 Β· πŸ’€) - Get list of common stop words in various languages in Python. BSD-3 - anaGo (πŸ₯‰21 Β· ⭐ 1.5K Β· πŸ’€) - Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition,.. MIT -- numerizer (πŸ₯‰21 Β· ⭐ 210 Β· πŸ“ˆ) - A Python module to convert natural language numerics into ints and.. MIT +- numerizer (πŸ₯‰21 Β· ⭐ 210) - A Python module to convert natural language numerics into ints and.. MIT - DeepMatcher (πŸ₯‰20 Β· ⭐ 5.1K Β· πŸ’€) - Python package for performing Entity and Text Matching using.. BSD-3 - lightseq (πŸ₯‰20 Β· ⭐ 3.2K Β· πŸ’€) - LightSeq: A High Performance Library for Sequence Processing.. Apache-2 - DELTA (πŸ₯‰20 Β· ⭐ 1.6K Β· πŸ’€) - DELTA is a deep learning based natural language and speech.. Apache-2 @@ -2180,10 +2192,10 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we - TextBox (πŸ₯‰16 Β· ⭐ 1.1K Β· πŸ’€) - TextBox 2.0 is a text generation library with pre-trained language.. MIT - Translate (πŸ₯‰16 Β· ⭐ 820 Β· πŸ’€) - Translate - a PyTorch Language Library. BSD-3 - BLINK (πŸ₯‰15 Β· ⭐ 1.2K Β· πŸ’€) - Entity Linker solution. MIT +- ONNX-T5 (πŸ₯‰15 Β· ⭐ 250 Β· πŸ’€) - Summarization, translation, sentiment-analysis, text-generation.. Apache-2 - NeuralQA (πŸ₯‰15 Β· ⭐ 230 Β· πŸ’€) - NeuralQA: A Usable Library for Question Answering on Large Datasets.. MIT - Headliner (πŸ₯‰15 Β· ⭐ 230 Β· πŸ’€) - Easy training and deployment of seq2seq models. MIT - TransferNLP (πŸ₯‰14 Β· ⭐ 290 Β· πŸ’€) - NLP library designed for reproducible experimentation.. MIT -- ONNX-T5 (πŸ₯‰14 Β· ⭐ 250 Β· πŸ’€) - Summarization, translation, sentiment-analysis, text-generation.. Apache-2 - textvec (πŸ₯‰13 Β· ⭐ 190 Β· πŸ’€) - Text vectorization tool to outperform TFIDF for classification.. MIT - spacy-dbpedia-spotlight (πŸ₯‰12 Β· ⭐ 100 Β· πŸ’€) - A spaCy wrapper for DBpedia Spotlight. MIT spacy
@@ -2197,7 +2209,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
Pillow (πŸ₯‡48 Β· ⭐ 12K) - Python Imaging Library (Fork). ❗️PIL -- [GitHub](https://github.com/python-pillow/Pillow) (πŸ‘¨β€πŸ’» 480 Β· πŸ”€ 2.2K Β· πŸ“¦ 1.8M Β· πŸ“‹ 3.2K - 4% open Β· ⏱️ 26.09.2024): +- [GitHub](https://github.com/python-pillow/Pillow) (πŸ‘¨β€πŸ’» 480 Β· πŸ”€ 2.2K Β· πŸ“¦ 1.8M Β· πŸ“‹ 3.2K - 4% open Β· ⏱️ 03.10.2024): ``` git clone https://github.com/python-pillow/Pillow @@ -2206,67 +2218,67 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` pip install Pillow ``` -- [Conda](https://anaconda.org/conda-forge/pillow) (πŸ“₯ 44M Β· ⏱️ 11.09.2024): +- [Conda](https://anaconda.org/conda-forge/pillow) (πŸ“₯ 45M Β· ⏱️ 11.09.2024): ``` conda install -c conda-forge pillow ```
PyTorch Image Models (πŸ₯‡42 Β· ⭐ 32K) - The largest collection of PyTorch image encoders /.. Apache-2 -- [GitHub](https://github.com/huggingface/pytorch-image-models) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 4.7K Β· πŸ“₯ 7M Β· πŸ“¦ 37K Β· πŸ“‹ 910 - 5% open Β· ⏱️ 22.09.2024): +- [GitHub](https://github.com/huggingface/pytorch-image-models) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 4.7K Β· πŸ“₯ 7.1M Β· πŸ“¦ 37K Β· πŸ“‹ 910 - 5% open Β· ⏱️ 02.10.2024): ``` git clone https://github.com/rwightman/pytorch-image-models ``` -- [PyPi](https://pypi.org/project/timm) (πŸ“₯ 6M / month Β· πŸ“¦ 920 Β· ⏱️ 23.08.2024): +- [PyPi](https://pypi.org/project/timm) (πŸ“₯ 6.1M / month Β· πŸ“¦ 930 Β· ⏱️ 23.08.2024): ``` pip install timm ``` -- [Conda](https://anaconda.org/conda-forge/timm) (πŸ“₯ 230K Β· ⏱️ 24.08.2024): +- [Conda](https://anaconda.org/conda-forge/timm) (πŸ“₯ 240K Β· ⏱️ 24.08.2024): ``` conda install -c conda-forge timm ```
torchvision (πŸ₯‡42 Β· ⭐ 16K) - Datasets, Transforms and Models specific to Computer Vision. BSD-3 -- [GitHub](https://github.com/pytorch/vision) (πŸ‘¨β€πŸ’» 610 Β· πŸ”€ 6.9K Β· πŸ“₯ 39K Β· πŸ“¦ 21 Β· πŸ“‹ 3.4K - 29% open Β· ⏱️ 12.09.2024): +- [GitHub](https://github.com/pytorch/vision) (πŸ‘¨β€πŸ’» 610 Β· πŸ”€ 6.9K Β· πŸ“₯ 39K Β· πŸ“¦ 21 Β· πŸ“‹ 3.5K - 29% open Β· ⏱️ 03.10.2024): ``` git clone https://github.com/pytorch/vision ``` -- [PyPi](https://pypi.org/project/torchvision) (πŸ“₯ 14M / month Β· πŸ“¦ 5.5K Β· ⏱️ 04.09.2024): +- [PyPi](https://pypi.org/project/torchvision) (πŸ“₯ 14M / month Β· πŸ“¦ 5.6K Β· ⏱️ 04.09.2024): ``` pip install torchvision ``` -- [Conda](https://anaconda.org/conda-forge/torchvision) (πŸ“₯ 1.6M Β· ⏱️ 19.09.2024): +- [Conda](https://anaconda.org/conda-forge/torchvision) (πŸ“₯ 1.6M Β· ⏱️ 02.10.2024): ``` conda install -c conda-forge torchvision ```
Albumentations (πŸ₯‡40 Β· ⭐ 14K) - Fast and flexible image augmentation library. Paper about.. MIT -- [GitHub](https://github.com/albumentations-team/albumentations) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 1.6K Β· πŸ“¦ 27K Β· πŸ“‹ 1K - 34% open Β· ⏱️ 24.09.2024): +- [GitHub](https://github.com/albumentations-team/albumentations) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 1.6K Β· πŸ“¦ 27K Β· πŸ“‹ 1K - 33% open Β· ⏱️ 03.10.2024): ``` git clone https://github.com/albumentations-team/albumentations ``` -- [PyPi](https://pypi.org/project/albumentations) (πŸ“₯ 4.5M / month Β· πŸ“¦ 570 Β· ⏱️ 22.09.2024): +- [PyPi](https://pypi.org/project/albumentations) (πŸ“₯ 4.4M / month Β· πŸ“¦ 580 Β· ⏱️ 30.09.2024): ``` pip install albumentations ``` -- [Conda](https://anaconda.org/conda-forge/albumentations) (πŸ“₯ 190K Β· ⏱️ 22.09.2024): +- [Conda](https://anaconda.org/conda-forge/albumentations) (πŸ“₯ 200K Β· ⏱️ 22.09.2024): ``` conda install -c conda-forge albumentations ```
MoviePy (πŸ₯‡38 Β· ⭐ 12K) - Video editing with Python. MIT -- [GitHub](https://github.com/Zulko/moviepy) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 1.5K Β· πŸ“¦ 45K Β· πŸ“‹ 1.5K - 30% open Β· ⏱️ 27.05.2024): +- [GitHub](https://github.com/Zulko/moviepy) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 1.5K Β· πŸ“¦ 46K Β· πŸ“‹ 1.5K - 30% open Β· ⏱️ 27.05.2024): ``` git clone https://github.com/Zulko/moviepy ``` -- [PyPi](https://pypi.org/project/moviepy) (πŸ“₯ 1.3M / month Β· πŸ“¦ 930 Β· ⏱️ 15.12.2021): +- [PyPi](https://pypi.org/project/moviepy) (πŸ“₯ 1.3M / month Β· πŸ“¦ 940 Β· ⏱️ 15.12.2021): ``` pip install moviepy ``` @@ -2277,12 +2289,12 @@ _Libraries for image & video processing, manipulation, and augmentation as well
deepface (πŸ₯‡38 Β· ⭐ 12K) - A Lightweight Face Recognition and Facial Attribute Analysis (Age,.. MIT -- [GitHub](https://github.com/serengil/deepface) (πŸ‘¨β€πŸ’» 66 Β· πŸ”€ 2K Β· πŸ“¦ 4.1K Β· πŸ“‹ 1.1K - 0% open Β· ⏱️ 06.09.2024): +- [GitHub](https://github.com/serengil/deepface) (πŸ‘¨β€πŸ’» 66 Β· πŸ”€ 2K Β· πŸ“¦ 4.1K Β· πŸ“‹ 1.1K - 0% open Β· ⏱️ 01.10.2024): ``` git clone https://github.com/serengil/deepface ``` -- [PyPi](https://pypi.org/project/deepface) (πŸ“₯ 91K / month Β· πŸ“¦ 42 Β· ⏱️ 17.08.2024): +- [PyPi](https://pypi.org/project/deepface) (πŸ“₯ 95K / month Β· πŸ“¦ 42 Β· ⏱️ 17.08.2024): ``` pip install deepface ``` @@ -2294,11 +2306,11 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/imageio/imageio ``` -- [PyPi](https://pypi.org/project/imageio) (πŸ“₯ 29M / month Β· πŸ“¦ 2.4K Β· ⏱️ 19.08.2024): +- [PyPi](https://pypi.org/project/imageio) (πŸ“₯ 33M / month Β· πŸ“¦ 2.4K Β· ⏱️ 19.08.2024): ``` pip install imageio ``` -- [Conda](https://anaconda.org/conda-forge/imageio) (πŸ“₯ 6.9M Β· ⏱️ 19.08.2024): +- [Conda](https://anaconda.org/conda-forge/imageio) (πŸ“₯ 7M Β· ⏱️ 19.08.2024): ``` conda install -c conda-forge imageio ``` @@ -2310,31 +2322,31 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/open-mmlab/mmdetection ``` -- [PyPi](https://pypi.org/project/mmdet) (πŸ“₯ 180K / month Β· πŸ“¦ 81 Β· ⏱️ 05.01.2024): +- [PyPi](https://pypi.org/project/mmdet) (πŸ“₯ 180K / month Β· πŸ“¦ 82 Β· ⏱️ 05.01.2024): ``` pip install mmdet ```
InsightFace (πŸ₯ˆ37 Β· ⭐ 23K) - State-of-the-art 2D and 3D Face Analysis Project. MIT -- [GitHub](https://github.com/deepinsight/insightface) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 5.3K Β· πŸ“₯ 4.7M Β· πŸ“¦ 2.7K Β· πŸ“‹ 2.5K - 44% open Β· ⏱️ 18.09.2024): +- [GitHub](https://github.com/deepinsight/insightface) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 5.4K Β· πŸ“₯ 4.8M Β· πŸ“¦ 2.8K Β· πŸ“‹ 2.5K - 45% open Β· ⏱️ 30.09.2024): ``` git clone https://github.com/deepinsight/insightface ``` -- [PyPi](https://pypi.org/project/insightface) (πŸ“₯ 300K / month Β· πŸ“¦ 29 Β· ⏱️ 17.12.2022): +- [PyPi](https://pypi.org/project/insightface) (πŸ“₯ 290K / month Β· πŸ“¦ 30 Β· ⏱️ 17.12.2022): ``` pip install insightface ```
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Kornia (πŸ₯ˆ37 Β· ⭐ 9.8K Β· πŸ“‰) - Geometric Computer Vision Library for Spatial AI. Apache-2 +
Kornia (πŸ₯ˆ37 Β· ⭐ 9.8K) - Geometric Computer Vision Library for Spatial AI. Apache-2 -- [GitHub](https://github.com/kornia/kornia) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 960 Β· πŸ“₯ 1.5K Β· πŸ“¦ 12K Β· πŸ“‹ 940 - 30% open Β· ⏱️ 24.09.2024): +- [GitHub](https://github.com/kornia/kornia) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 960 Β· πŸ“₯ 1.5K Β· πŸ“¦ 12K Β· πŸ“‹ 940 - 30% open Β· ⏱️ 01.10.2024): ``` git clone https://github.com/kornia/kornia ``` -- [PyPi](https://pypi.org/project/kornia) (πŸ“₯ 1.8M / month Β· πŸ“¦ 260 Β· ⏱️ 28.06.2024): +- [PyPi](https://pypi.org/project/kornia) (πŸ“₯ 1.9M / month Β· πŸ“¦ 260 Β· ⏱️ 28.06.2024): ``` pip install kornia ``` @@ -2345,12 +2357,12 @@ _Libraries for image & video processing, manipulation, and augmentation as well
opencv-python (πŸ₯ˆ35 Β· ⭐ 4.5K) - Automated CI toolchain to produce precompiled opencv-python,.. MIT -- [GitHub](https://github.com/opencv/opencv-python) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 830 Β· πŸ“¦ 440K Β· πŸ“‹ 810 - 15% open Β· ⏱️ 24.07.2024): +- [GitHub](https://github.com/opencv/opencv-python) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 830 Β· πŸ“¦ 450K Β· πŸ“‹ 810 - 15% open Β· ⏱️ 24.07.2024): ``` git clone https://github.com/opencv/opencv-python ``` -- [PyPi](https://pypi.org/project/opencv-python) (πŸ“₯ 18M / month Β· πŸ“¦ 10K Β· ⏱️ 17.06.2024): +- [PyPi](https://pypi.org/project/opencv-python) (πŸ“₯ 17M / month Β· πŸ“¦ 10K Β· ⏱️ 17.06.2024): ``` pip install opencv-python ``` @@ -2366,59 +2378,59 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` pip install detectron2 ``` -- [Conda](https://anaconda.org/conda-forge/detectron2) (πŸ“₯ 420K Β· ⏱️ 26.08.2024): +- [Conda](https://anaconda.org/conda-forge/detectron2) (πŸ“₯ 430K Β· ⏱️ 26.08.2024): ``` conda install -c conda-forge detectron2 ```
Wand (πŸ₯ˆ34 Β· ⭐ 1.4K) - The ctypes-based simple ImageMagick binding for Python. MIT -- [GitHub](https://github.com/emcconville/wand) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 200 Β· πŸ“₯ 50K Β· πŸ“¦ 20K Β· πŸ“‹ 430 - 6% open Β· ⏱️ 26.09.2024): +- [GitHub](https://github.com/emcconville/wand) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 200 Β· πŸ“₯ 50K Β· πŸ“¦ 20K Β· πŸ“‹ 430 - 6% open Β· ⏱️ 01.10.2024): ``` git clone https://github.com/emcconville/wand ``` -- [PyPi](https://pypi.org/project/wand) (πŸ“₯ 880K / month Β· πŸ“¦ 260 Β· ⏱️ 03.11.2023): +- [PyPi](https://pypi.org/project/wand) (πŸ“₯ 920K / month Β· πŸ“¦ 260 Β· ⏱️ 03.11.2023): ``` pip install wand ``` -- [Conda](https://anaconda.org/conda-forge/wand) (πŸ“₯ 74K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/wand) (πŸ“₯ 76K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge wand ```
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vit-pytorch (πŸ₯ˆ32 Β· ⭐ 20K) - Implementation of Vision Transformer, a simple way to achieve.. MIT +
PaddleSeg (πŸ₯ˆ33 Β· ⭐ 8.6K) - Easy-to-use image segmentation library with awesome pre-.. Apache-2 -- [GitHub](https://github.com/lucidrains/vit-pytorch) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 2.9K Β· πŸ“¦ 530 Β· πŸ“‹ 270 - 48% open Β· ⏱️ 28.08.2024): +- [GitHub](https://github.com/PaddlePaddle/PaddleSeg) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.7K Β· πŸ“¦ 1.3K Β· πŸ“‹ 2.1K - 11% open Β· ⏱️ 01.10.2024): ``` - git clone https://github.com/lucidrains/vit-pytorch + git clone https://github.com/PaddlePaddle/PaddleSeg ``` -- [PyPi](https://pypi.org/project/vit-pytorch) (πŸ“₯ 18K / month Β· πŸ“¦ 13 Β· ⏱️ 28.08.2024): +- [PyPi](https://pypi.org/project/paddleseg) (πŸ“₯ 1.6K / month Β· πŸ“¦ 7 Β· ⏱️ 30.11.2022): ``` - pip install vit-pytorch + pip install paddleseg ```
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PaddleSeg (πŸ₯ˆ32 Β· ⭐ 8.6K) - Easy-to-use image segmentation library with awesome pre-.. Apache-2 +
vit-pytorch (πŸ₯ˆ32 Β· ⭐ 20K) - Implementation of Vision Transformer, a simple way to achieve.. MIT -- [GitHub](https://github.com/PaddlePaddle/PaddleSeg) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.7K Β· πŸ“¦ 1.3K Β· πŸ“‹ 2.1K - 10% open Β· ⏱️ 23.08.2024): +- [GitHub](https://github.com/lucidrains/vit-pytorch) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 3K Β· πŸ“¦ 530 Β· πŸ“‹ 270 - 48% open Β· ⏱️ 28.08.2024): ``` - git clone https://github.com/PaddlePaddle/PaddleSeg + git clone https://github.com/lucidrains/vit-pytorch ``` -- [PyPi](https://pypi.org/project/paddleseg) (πŸ“₯ 1.8K / month Β· πŸ“¦ 7 Β· ⏱️ 30.11.2022): +- [PyPi](https://pypi.org/project/vit-pytorch) (πŸ“₯ 18K / month Β· πŸ“¦ 13 Β· ⏱️ 28.08.2024): ``` - pip install paddleseg + pip install vit-pytorch ```
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lightly (πŸ₯ˆ32 Β· ⭐ 2.9K) - A python library for self-supervised learning on images. MIT +
lightly (πŸ₯ˆ32 Β· ⭐ 3.1K) - A python library for self-supervised learning on images. MIT -- [GitHub](https://github.com/lightly-ai/lightly) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 250 Β· πŸ“¦ 320 Β· πŸ“‹ 580 - 15% open Β· ⏱️ 25.09.2024): +- [GitHub](https://github.com/lightly-ai/lightly) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 260 Β· πŸ“¦ 320 Β· πŸ“‹ 560 - 12% open Β· ⏱️ 03.10.2024): ``` git clone https://github.com/lightly-ai/lightly ``` -- [PyPi](https://pypi.org/project/lightly) (πŸ“₯ 32K / month Β· πŸ“¦ 14 Β· ⏱️ 24.09.2024): +- [PyPi](https://pypi.org/project/lightly) (πŸ“₯ 31K / month Β· πŸ“¦ 14 Β· ⏱️ 24.09.2024): ``` pip install lightly ``` @@ -2430,7 +2442,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/OlafenwaMoses/ImageAI ``` -- [PyPi](https://pypi.org/project/imageai) (πŸ“₯ 7.5K / month Β· πŸ“¦ 19 Β· ⏱️ 02.01.2023): +- [PyPi](https://pypi.org/project/imageai) (πŸ“₯ 9.1K / month Β· πŸ“¦ 19 Β· ⏱️ 02.01.2023): ``` pip install imageai ``` @@ -2455,42 +2467,38 @@ _Libraries for image & video processing, manipulation, and augmentation as well conda install -c conda-forge imagehash ```
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CellProfiler (πŸ₯ˆ30 Β· ⭐ 900 Β· πŸ“ˆ) - An open-source application for biological image analysis. BSD-3 +
CellProfiler (πŸ₯ˆ30 Β· ⭐ 900) - An open-source application for biological image analysis. BSD-3 -- [GitHub](https://github.com/CellProfiler/CellProfiler) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 380 Β· πŸ“₯ 8K Β· πŸ“¦ 22 Β· πŸ“‹ 3.3K - 9% open Β· ⏱️ 24.09.2024): +- [GitHub](https://github.com/CellProfiler/CellProfiler) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 380 Β· πŸ“₯ 7.8K Β· πŸ“¦ 22 Β· πŸ“‹ 3.3K - 9% open Β· ⏱️ 24.09.2024): ``` git clone https://github.com/CellProfiler/CellProfiler ``` -- [PyPi](https://pypi.org/project/cellprofiler) (πŸ“₯ 1.3K / month Β· πŸ“¦ 2 Β· ⏱️ 16.09.2024): +- [PyPi](https://pypi.org/project/cellprofiler) (πŸ“₯ 1.4K / month Β· πŸ“¦ 2 Β· ⏱️ 16.09.2024): ``` pip install cellprofiler ```
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mahotas (πŸ₯ˆ30 Β· ⭐ 840) - Computer Vision in Python. MIT +
PaddleDetection (πŸ₯ˆ29 Β· ⭐ 13K Β· πŸ“ˆ) - Object Detection toolkit based on PaddlePaddle. It.. Apache-2 -- [GitHub](https://github.com/luispedro/mahotas) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 150 Β· πŸ“¦ 1.4K Β· πŸ“‹ 91 - 23% open Β· ⏱️ 17.07.2024): +- [GitHub](https://github.com/PaddlePaddle/PaddleDetection) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 2.8K Β· πŸ“‹ 5.4K - 22% open Β· ⏱️ 30.09.2024): ``` - git clone https://github.com/luispedro/mahotas - ``` -- [PyPi](https://pypi.org/project/mahotas) (πŸ“₯ 24K / month Β· πŸ“¦ 62 Β· ⏱️ 17.07.2024): - ``` - pip install mahotas + git clone https://github.com/PaddlePaddle/PaddleDetection ``` -- [Conda](https://anaconda.org/conda-forge/mahotas) (πŸ“₯ 500K Β· ⏱️ 18.07.2024): +- [PyPi](https://pypi.org/project/paddledet) (πŸ“₯ 450 / month Β· πŸ“¦ 2 Β· ⏱️ 19.09.2022): ``` - conda install -c conda-forge mahotas + pip install paddledet ```
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sahi (πŸ₯‰29 Β· ⭐ 4K) - Framework agnostic sliced/tiled inference + interactive ui + error analysis.. MIT +
sahi (πŸ₯ˆ29 Β· ⭐ 4K) - Framework agnostic sliced/tiled inference + interactive ui + error analysis.. MIT -- [GitHub](https://github.com/obss/sahi) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 570 Β· πŸ“₯ 27K Β· πŸ“¦ 1.3K Β· ⏱️ 27.08.2024): +- [GitHub](https://github.com/obss/sahi) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 570 Β· πŸ“₯ 28K Β· πŸ“¦ 1.4K Β· ⏱️ 27.08.2024): ``` git clone https://github.com/obss/sahi ``` -- [PyPi](https://pypi.org/project/sahi) (πŸ“₯ 190K / month Β· πŸ“¦ 26 Β· ⏱️ 10.07.2024): +- [PyPi](https://pypi.org/project/sahi) (πŸ“₯ 180K / month Β· πŸ“¦ 26 Β· ⏱️ 10.07.2024): ``` pip install sahi ``` @@ -2499,74 +2507,78 @@ _Libraries for image & video processing, manipulation, and augmentation as well conda install -c conda-forge sahi ```
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vidgear (πŸ₯‰29 Β· ⭐ 3.3K) - A High-performance cross-platform Video Processing Python framework.. Apache-2 +
doctr (πŸ₯ˆ29 Β· ⭐ 3.7K) - docTR (Document Text Recognition) - a seamless, high-.. Apache-2 -- [GitHub](https://github.com/abhiTronix/vidgear) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 250 Β· πŸ“₯ 1.7K Β· πŸ“¦ 600 Β· πŸ“‹ 290 - 2% open Β· ⏱️ 22.06.2024): +- [GitHub](https://github.com/mindee/doctr) (πŸ‘¨β€πŸ’» 51 Β· πŸ”€ 420 Β· πŸ“₯ 3.8M Β· πŸ“‹ 370 - 10% open Β· ⏱️ 01.10.2024): ``` - git clone https://github.com/abhiTronix/vidgear + git clone https://github.com/mindee/doctr ``` -- [PyPi](https://pypi.org/project/vidgear) (πŸ“₯ 26K / month Β· πŸ“¦ 15 Β· ⏱️ 22.06.2024): +- [PyPi](https://pypi.org/project/python-doctr) (πŸ“₯ 50K / month Β· πŸ“¦ 12 Β· ⏱️ 08.08.2024): ``` - pip install vidgear + pip install python-doctr ```
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Face Alignment (πŸ₯‰28 Β· ⭐ 7K) - 2D and 3D Face alignment library build using pytorch. BSD-3 +
vidgear (πŸ₯ˆ29 Β· ⭐ 3.3K) - A High-performance cross-platform Video Processing Python framework.. Apache-2 -- [GitHub](https://github.com/1adrianb/face-alignment) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 1.3K Β· πŸ“¦ 21 Β· πŸ“‹ 320 - 24% open Β· ⏱️ 30.08.2024): +- [GitHub](https://github.com/abhiTronix/vidgear) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 250 Β· πŸ“₯ 1.7K Β· πŸ“¦ 610 Β· πŸ“‹ 290 - 2% open Β· ⏱️ 22.06.2024): ``` - git clone https://github.com/1adrianb/face-alignment + git clone https://github.com/abhiTronix/vidgear ``` -- [PyPi](https://pypi.org/project/face-alignment) (πŸ“₯ 68K / month Β· πŸ“¦ 10 Β· ⏱️ 17.08.2023): +- [PyPi](https://pypi.org/project/vidgear) (πŸ“₯ 26K / month Β· πŸ“¦ 15 Β· ⏱️ 22.06.2024): ``` - pip install face-alignment + pip install vidgear ```
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facenet-pytorch (πŸ₯‰28 Β· ⭐ 4.5K) - Pretrained Pytorch face detection (MTCNN) and facial.. MIT +
mahotas (πŸ₯ˆ29 Β· ⭐ 840) - Computer Vision in Python. MIT -- [GitHub](https://github.com/timesler/facenet-pytorch) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 940 Β· πŸ“₯ 1.3M Β· πŸ“¦ 2.2K Β· πŸ“‹ 180 - 40% open Β· ⏱️ 02.08.2024): +- [GitHub](https://github.com/luispedro/mahotas) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 150 Β· πŸ“¦ 1.4K Β· πŸ“‹ 91 - 23% open Β· ⏱️ 17.07.2024): ``` - git clone https://github.com/timesler/facenet-pytorch + git clone https://github.com/luispedro/mahotas ``` -- [PyPi](https://pypi.org/project/facenet-pytorch) (πŸ“₯ 71K / month Β· πŸ“¦ 51 Β· ⏱️ 29.04.2024): +- [PyPi](https://pypi.org/project/mahotas) (πŸ“₯ 24K / month Β· πŸ“¦ 63 Β· ⏱️ 17.07.2024): ``` - pip install facenet-pytorch + pip install mahotas + ``` +- [Conda](https://anaconda.org/conda-forge/mahotas) (πŸ“₯ 500K Β· ⏱️ 18.07.2024): + ``` + conda install -c conda-forge mahotas ```
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doctr (πŸ₯‰28 Β· ⭐ 3.6K) - docTR (Document Text Recognition) - a seamless, high-.. Apache-2 +
Face Alignment (πŸ₯‰28 Β· ⭐ 7K) - 2D and 3D Face alignment library build using pytorch. BSD-3 -- [GitHub](https://github.com/mindee/doctr) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 410 Β· πŸ“₯ 3.8M Β· πŸ“‹ 370 - 10% open Β· ⏱️ 29.08.2024): +- [GitHub](https://github.com/1adrianb/face-alignment) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 1.3K Β· πŸ“¦ 21 Β· πŸ“‹ 320 - 24% open Β· ⏱️ 30.08.2024): ``` - git clone https://github.com/mindee/doctr + git clone https://github.com/1adrianb/face-alignment ``` -- [PyPi](https://pypi.org/project/python-doctr) (πŸ“₯ 51K / month Β· πŸ“¦ 12 Β· ⏱️ 08.08.2024): +- [PyPi](https://pypi.org/project/face-alignment) (πŸ“₯ 67K / month Β· πŸ“¦ 10 Β· ⏱️ 17.08.2023): ``` - pip install python-doctr + pip install face-alignment ```
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PaddleDetection (πŸ₯‰27 Β· ⭐ 13K) - Object Detection toolkit based on PaddlePaddle. It.. Apache-2 +
facenet-pytorch (πŸ₯‰27 Β· ⭐ 4.5K) - Pretrained Pytorch face detection (MTCNN) and facial.. MIT -- [GitHub](https://github.com/PaddlePaddle/PaddleDetection) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 2.8K Β· πŸ“‹ 5.4K - 22% open Β· ⏱️ 11.07.2024): +- [GitHub](https://github.com/timesler/facenet-pytorch) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 940 Β· πŸ“₯ 1.3M Β· πŸ“¦ 2.3K Β· πŸ“‹ 180 - 40% open Β· ⏱️ 02.08.2024): ``` - git clone https://github.com/PaddlePaddle/PaddleDetection + git clone https://github.com/timesler/facenet-pytorch ``` -- [PyPi](https://pypi.org/project/paddledet) (πŸ“₯ 490 / month Β· πŸ“¦ 2 Β· ⏱️ 19.09.2022): +- [PyPi](https://pypi.org/project/facenet-pytorch) (πŸ“₯ 70K / month Β· πŸ“¦ 51 Β· ⏱️ 29.04.2024): ``` - pip install paddledet + pip install facenet-pytorch ```
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pyvips (πŸ₯‰27 Β· ⭐ 630) - python binding for libvips using cffi. MIT +
pyvips (πŸ₯‰26 Β· ⭐ 640) - python binding for libvips using cffi. MIT - [GitHub](https://github.com/libvips/pyvips) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 49 Β· πŸ“¦ 800 Β· πŸ“‹ 440 - 43% open Β· ⏱️ 21.09.2024): ``` git clone https://github.com/libvips/pyvips ``` -- [PyPi](https://pypi.org/project/pyvips) (πŸ“₯ 68K / month Β· πŸ“¦ 77 Β· ⏱️ 28.04.2024): +- [PyPi](https://pypi.org/project/pyvips) (πŸ“₯ 69K / month Β· πŸ“¦ 77 Β· ⏱️ 28.04.2024): ``` pip install pyvips ``` @@ -2575,28 +2587,28 @@ _Libraries for image & video processing, manipulation, and augmentation as well conda install -c conda-forge pyvips ```
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Norfair (πŸ₯‰26 Β· ⭐ 2.4K) - Lightweight Python library for adding real-time multi-object tracking.. BSD-3 +
pytorchvideo (πŸ₯‰25 Β· ⭐ 3.3K) - A deep learning library for video understanding research. Apache-2 -- [GitHub](https://github.com/tryolabs/norfair) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 240 Β· πŸ“₯ 330 Β· πŸ“¦ 220 Β· πŸ“‹ 170 - 14% open Β· ⏱️ 27.07.2024): +- [GitHub](https://github.com/facebookresearch/pytorchvideo) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 400 Β· πŸ“‹ 210 - 50% open Β· ⏱️ 13.08.2024): ``` - git clone https://github.com/tryolabs/norfair + git clone https://github.com/facebookresearch/pytorchvideo ``` -- [PyPi](https://pypi.org/project/norfair) (πŸ“₯ 23K / month Β· πŸ“¦ 7 Β· ⏱️ 30.05.2022): +- [PyPi](https://pypi.org/project/pytorchvideo) (πŸ“₯ 19K / month Β· πŸ“¦ 24 Β· ⏱️ 20.01.2022): ``` - pip install norfair + pip install pytorchvideo ```
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pytorchvideo (πŸ₯‰25 Β· ⭐ 3.3K) - A deep learning library for video understanding research. Apache-2 +
Norfair (πŸ₯‰25 Β· ⭐ 2.4K) - Lightweight Python library for adding real-time multi-object tracking.. BSD-3 -- [GitHub](https://github.com/facebookresearch/pytorchvideo) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 400 Β· πŸ“‹ 210 - 50% open Β· ⏱️ 13.08.2024): +- [GitHub](https://github.com/tryolabs/norfair) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 240 Β· πŸ“₯ 330 Β· πŸ“¦ 220 Β· πŸ“‹ 170 - 14% open Β· ⏱️ 27.07.2024): ``` - git clone https://github.com/facebookresearch/pytorchvideo + git clone https://github.com/tryolabs/norfair ``` -- [PyPi](https://pypi.org/project/pytorchvideo) (πŸ“₯ 18K / month Β· πŸ“¦ 24 Β· ⏱️ 20.01.2022): +- [PyPi](https://pypi.org/project/norfair) (πŸ“₯ 23K / month Β· πŸ“¦ 9 Β· ⏱️ 30.05.2022): ``` - pip install pytorchvideo + pip install norfair ```
MMF (πŸ₯‰24 Β· ⭐ 5.5K) - A modular framework for vision & language multimodal research from.. BSD-3 @@ -2606,7 +2618,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/facebookresearch/mmf ``` -- [PyPi](https://pypi.org/project/mmf) (πŸ“₯ 520 / month Β· πŸ“¦ 1 Β· ⏱️ 12.06.2020): +- [PyPi](https://pypi.org/project/mmf) (πŸ“₯ 670 / month Β· πŸ“¦ 1 Β· ⏱️ 12.06.2020): ``` pip install mmf ``` @@ -2618,7 +2630,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/qubvel/segmentation_models ``` -- [PyPi](https://pypi.org/project/segmentation_models) (πŸ“₯ 32K / month Β· πŸ“¦ 28 Β· ⏱️ 10.01.2020): +- [PyPi](https://pypi.org/project/segmentation_models) (πŸ“₯ 29K / month Β· πŸ“¦ 28 Β· ⏱️ 10.01.2020): ``` pip install segmentation_models ``` @@ -2630,7 +2642,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/libffcv/ffcv ``` -- [PyPi](https://pypi.org/project/ffcv) (πŸ“₯ 1.6K / month Β· πŸ“¦ 1 Β· ⏱️ 28.01.2022): +- [PyPi](https://pypi.org/project/ffcv) (πŸ“₯ 1.4K / month Β· πŸ“¦ 1 Β· ⏱️ 28.01.2022): ``` pip install ffcv ``` @@ -2647,7 +2659,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well pip install tensorflow-graphics ```
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vissl (πŸ₯‰23 Β· ⭐ 3.3K) - VISSL is FAIRs library of extensible, modular and scalable components.. MIT +
vissl (πŸ₯‰23 Β· ⭐ 3.3K Β· πŸ’€) - VISSL is FAIRs library of extensible, modular and scalable.. MIT - [GitHub](https://github.com/facebookresearch/vissl) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 330 Β· πŸ“¦ 51 Β· πŸ“‹ 190 - 43% open Β· ⏱️ 03.03.2024): @@ -2659,31 +2671,31 @@ _Libraries for image & video processing, manipulation, and augmentation as well pip install vissl ```
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kubric (πŸ₯‰22 Β· ⭐ 2.3K) - A data generation pipeline for creating semi-realistic synthetic.. Apache-2 +
kubric (πŸ₯‰23 Β· ⭐ 2.3K) - A data generation pipeline for creating semi-realistic synthetic.. Apache-2 - [GitHub](https://github.com/google-research/kubric) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 220 Β· πŸ“¦ 6 Β· πŸ“‹ 190 - 33% open Β· ⏱️ 27.06.2024): ``` git clone https://github.com/google-research/kubric ``` -- [PyPi](https://pypi.org/project/kubric-nightly) (πŸ“₯ 7.6K / month Β· ⏱️ 27.12.2023): +- [PyPi](https://pypi.org/project/kubric-nightly) (πŸ“₯ 15K / month Β· ⏱️ 27.12.2023): ``` pip install kubric-nightly ```
PySlowFast (πŸ₯‰21 Β· ⭐ 6.5K) - PySlowFast: video understanding codebase from FAIR for.. Apache-2 -- [GitHub](https://github.com/facebookresearch/SlowFast) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 1.2K Β· πŸ“¦ 17 Β· πŸ“‹ 680 - 57% open Β· ⏱️ 13.08.2024): +- [GitHub](https://github.com/facebookresearch/SlowFast) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 1.2K Β· πŸ“¦ 18 Β· πŸ“‹ 680 - 57% open Β· ⏱️ 13.08.2024): ``` git clone https://github.com/facebookresearch/SlowFast ``` -- [PyPi](https://pypi.org/project/pyslowfast) (πŸ“₯ 57 / month Β· ⏱️ 15.01.2020): +- [PyPi](https://pypi.org/project/pyslowfast) (πŸ“₯ 58 / month Β· ⏱️ 15.01.2020): ``` pip install pyslowfast ```
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DEβ«ΆTR (πŸ₯‰20 Β· ⭐ 13K) - End-to-End Object Detection with Transformers. Apache-2 +
DEβ«ΆTR (πŸ₯‰20 Β· ⭐ 13K Β· πŸ’€) - End-to-End Object Detection with Transformers. Apache-2 - [GitHub](https://github.com/facebookresearch/detr) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 2.4K Β· πŸ“¦ 21 Β· πŸ“‹ 540 - 47% open Β· ⏱️ 12.03.2024): @@ -2691,9 +2703,9 @@ _Libraries for image & video processing, manipulation, and augmentation as well git clone https://github.com/facebookresearch/detr ```
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scenic (πŸ₯‰17 Β· ⭐ 3.3K) - Scenic: A Jax Library for Computer Vision Research and Beyond. Apache-2 +
scenic (πŸ₯‰18 Β· ⭐ 3.3K) - Scenic: A Jax Library for Computer Vision Research and Beyond. Apache-2 -- [GitHub](https://github.com/google-research/scenic) (πŸ‘¨β€πŸ’» 84 Β· πŸ”€ 430 Β· πŸ“‹ 270 - 55% open Β· ⏱️ 28.08.2024): +- [GitHub](https://github.com/google-research/scenic) (πŸ‘¨β€πŸ’» 85 Β· πŸ”€ 420 Β· πŸ“‹ 270 - 55% open Β· ⏱️ 30.09.2024): ``` git clone https://github.com/google-research/scenic @@ -2701,29 +2713,29 @@ _Libraries for image & video processing, manipulation, and augmentation as well
Show 26 hidden projects... -- scikit-image (πŸ₯‡42 Β· ⭐ 6K) - Image processing in Python. ❗Unlicensed -- imgaug (πŸ₯ˆ37 Β· ⭐ 14K Β· πŸ’€) - Image augmentation for machine learning experiments. MIT +- scikit-image (πŸ₯‡42 Β· ⭐ 6.1K) - Image processing in Python. ❗Unlicensed +- imgaug (πŸ₯ˆ36 Β· ⭐ 14K Β· πŸ’€) - Image augmentation for machine learning experiments. MIT +- glfw (πŸ₯ˆ36 Β· ⭐ 13K) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input. ❗️Zlib - Face Recognition (πŸ₯ˆ35 Β· ⭐ 53K Β· πŸ’€) - The worlds simplest facial recognition api for Python.. MIT -- glfw (πŸ₯ˆ35 Β· ⭐ 13K) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input. ❗️Zlib - PyTorch3D (πŸ₯ˆ33 Β· ⭐ 8.7K) - PyTorch3D is FAIRs library of reusable components for.. ❗Unlicensed - imutils (πŸ₯ˆ31 Β· ⭐ 4.5K Β· πŸ’€) - A series of convenience functions to make basic image processing.. MIT -- GluonCV (πŸ₯‰29 Β· ⭐ 5.8K Β· πŸ’€) - Gluon CV Toolkit. Apache-2 +- GluonCV (πŸ₯ˆ29 Β· ⭐ 5.8K Β· πŸ’€) - Gluon CV Toolkit. Apache-2 - layout-parser (πŸ₯‰28 Β· ⭐ 4.8K Β· πŸ’€) - A Unified Toolkit for Deep Learning Based Document Image.. Apache-2 - mtcnn (πŸ₯‰27 Β· ⭐ 2.2K Β· πŸ’€) - MTCNN face detection implementation for TensorFlow, as a PIP.. MIT - Pillow-SIMD (πŸ₯‰27 Β· ⭐ 2.2K) - The friendly PIL fork. ❗️PIL - chainercv (πŸ₯‰27 Β· ⭐ 1.5K Β· πŸ’€) - ChainerCV: a Library for Deep Learning in Computer Vision. MIT -- Image Deduplicator (πŸ₯‰25 Β· ⭐ 5.1K Β· πŸ’€) - Finding duplicate images made easy!. Apache-2 -- Augmentor (πŸ₯‰25 Β· ⭐ 5.1K Β· πŸ’€) - Image augmentation library in Python for machine learning. MIT +- Augmentor (πŸ₯‰26 Β· ⭐ 5.1K Β· πŸ’€) - Image augmentation library in Python for machine learning. MIT +- Image Deduplicator (πŸ₯‰24 Β· ⭐ 5.1K Β· πŸ’€) - Finding duplicate images made easy!. Apache-2 +- deep-daze (πŸ₯‰23 Β· ⭐ 4.4K Β· πŸ’€) - Simple command line tool for text to image generation using.. MIT - Luminoth (πŸ₯‰23 Β· ⭐ 2.4K Β· πŸ’€) - Deep Learning toolkit for Computer Vision. BSD-3 -- deep-daze (πŸ₯‰22 Β· ⭐ 4.4K Β· πŸ’€) - Simple command line tool for text to image generation using.. MIT - Classy Vision (πŸ₯‰22 Β· ⭐ 1.6K Β· πŸ’€) - An end-to-end PyTorch framework for image and video.. MIT -- icevision (πŸ₯‰22 Β· ⭐ 850 Β· πŸ’€) - An Agnostic Computer Vision Framework - Pluggable to any.. Apache-2 +- icevision (πŸ₯‰22 Β· ⭐ 840 Β· πŸ’€) - An Agnostic Computer Vision Framework - Pluggable to any.. Apache-2 - Image Super-Resolution (πŸ₯‰21 Β· ⭐ 4.6K Β· πŸ’€) - Super-scale your images and run experiments with.. Apache-2 -- detecto (πŸ₯‰21 Β· ⭐ 610 Β· πŸ’€) - Build fully-functioning computer vision models with PyTorch. MIT - image-match (πŸ₯‰20 Β· ⭐ 2.9K Β· πŸ’€) - Quickly search over billions of images. Apache-2 - pycls (πŸ₯‰20 Β· ⭐ 2.1K Β· πŸ’€) - Codebase for Image Classification Research, written in PyTorch. MIT - nude.py (πŸ₯‰20 Β· ⭐ 920 Β· πŸ’€) - Nudity detection with Python. MIT -- solt (πŸ₯‰19 Β· ⭐ 260) - Streaming over lightweight data transformations. MIT +- detecto (πŸ₯‰20 Β· ⭐ 610 Β· πŸ’€) - Build fully-functioning computer vision models with PyTorch. MIT +- solt (πŸ₯‰18 Β· ⭐ 260) - Streaming over lightweight data transformations. MIT - Caer (πŸ₯‰17 Β· ⭐ 770 Β· πŸ’€) - A lightweight Computer Vision library. Scale your models, not boilerplate. MIT - Torch Points 3D (πŸ₯‰17 Β· ⭐ 210 Β· πŸ’€) - Pytorch framework for doing deep learning on point.. BSD-3 - HugsVision (πŸ₯‰16 Β· ⭐ 190 Β· πŸ’€) - HugsVision is a easy to use huggingface wrapper for state-of-.. MIT huggingface @@ -2736,14 +2748,14 @@ _Libraries for image & video processing, manipulation, and augmentation as well _Libraries for graph processing, clustering, embedding, and machine learning tasks._ -
networkx (πŸ₯‡44 Β· ⭐ 15K) - Network Analysis in Python. BSD-3 +
networkx (πŸ₯‡43 Β· ⭐ 15K Β· πŸ“‰) - Network Analysis in Python. BSD-3 -- [GitHub](https://github.com/networkx/networkx) (πŸ‘¨β€πŸ’» 750 Β· πŸ”€ 3.2K Β· πŸ“₯ 76 Β· πŸ“¦ 300K Β· πŸ“‹ 3.4K - 10% open Β· ⏱️ 20.09.2024): +- [GitHub](https://github.com/networkx/networkx) (πŸ‘¨β€πŸ’» 750 Β· πŸ”€ 3.2K Β· πŸ“₯ 76 Β· πŸ“¦ 300K Β· πŸ“‹ 3.4K - 10% open Β· ⏱️ 01.10.2024): ``` git clone https://github.com/networkx/networkx ``` -- [PyPi](https://pypi.org/project/networkx) (πŸ“₯ 70M / month Β· πŸ“¦ 9.4K Β· ⏱️ 06.04.2024): +- [PyPi](https://pypi.org/project/networkx) (πŸ“₯ 75M / month Β· πŸ“¦ 9.4K Β· ⏱️ 06.04.2024): ``` pip install networkx ``` @@ -2754,16 +2766,16 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
PyTorch Geometric (πŸ₯‡40 Β· ⭐ 21K) - Graph Neural Network Library for PyTorch. MIT -- [GitHub](https://github.com/pyg-team/pytorch_geometric) (πŸ‘¨β€πŸ’» 520 Β· πŸ”€ 3.6K Β· πŸ“¦ 6.5K Β· πŸ“‹ 3.7K - 27% open Β· ⏱️ 24.09.2024): +- [GitHub](https://github.com/pyg-team/pytorch_geometric) (πŸ‘¨β€πŸ’» 520 Β· πŸ”€ 3.6K Β· πŸ“¦ 6.6K Β· πŸ“‹ 3.7K - 27% open Β· ⏱️ 24.09.2024): ``` git clone https://github.com/pyg-team/pytorch_geometric ``` -- [PyPi](https://pypi.org/project/torch-geometric) (πŸ“₯ 410K / month Β· πŸ“¦ 350 Β· ⏱️ 26.09.2024): +- [PyPi](https://pypi.org/project/torch-geometric) (πŸ“₯ 420K / month Β· πŸ“¦ 350 Β· ⏱️ 26.09.2024): ``` pip install torch-geometric ``` -- [Conda](https://anaconda.org/conda-forge/pytorch_geometric) (πŸ“₯ 88K Β· ⏱️ 13.09.2024): +- [Conda](https://anaconda.org/conda-forge/pytorch_geometric) (πŸ“₯ 91K Β· ⏱️ 26.09.2024): ``` conda install -c conda-forge pytorch_geometric ``` @@ -2787,31 +2799,31 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/graphistry/pygraphistry ``` -- [PyPi](https://pypi.org/project/graphistry) (πŸ“₯ 4.2K / month Β· πŸ“¦ 6 Β· ⏱️ 23.09.2024): +- [PyPi](https://pypi.org/project/graphistry) (πŸ“₯ 5.5K / month Β· πŸ“¦ 6 Β· ⏱️ 23.09.2024): ``` pip install graphistry ```
PyKEEN (πŸ₯ˆ30 Β· ⭐ 1.6K) - A Python library for learning and evaluating knowledge graph embeddings. MIT -- [GitHub](https://github.com/pykeen/pykeen) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 180 Β· πŸ“₯ 210 Β· πŸ“¦ 240 Β· πŸ“‹ 580 - 20% open Β· ⏱️ 08.09.2024): +- [GitHub](https://github.com/pykeen/pykeen) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 180 Β· πŸ“₯ 210 Β· πŸ“¦ 240 Β· πŸ“‹ 580 - 20% open Β· ⏱️ 03.10.2024): ``` git clone https://github.com/pykeen/pykeen ``` -- [PyPi](https://pypi.org/project/pykeen) (πŸ“₯ 8.2K / month Β· πŸ“¦ 6 Β· ⏱️ 19.02.2024): +- [PyPi](https://pypi.org/project/pykeen) (πŸ“₯ 8.9K / month Β· πŸ“¦ 6 Β· ⏱️ 19.02.2024): ``` pip install pykeen ```
ogb (πŸ₯ˆ29 Β· ⭐ 1.9K Β· πŸ’€) - Benchmark datasets, data loaders, and evaluators for graph machine learning. MIT -- [GitHub](https://github.com/snap-stanford/ogb) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 400 Β· πŸ“¦ 1.9K Β· πŸ“‹ 300 - 7% open Β· ⏱️ 01.02.2024): +- [GitHub](https://github.com/snap-stanford/ogb) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 400 Β· πŸ“¦ 2K Β· πŸ“‹ 300 - 8% open Β· ⏱️ 01.02.2024): ``` git clone https://github.com/snap-stanford/ogb ``` -- [PyPi](https://pypi.org/project/ogb) (πŸ“₯ 93K / month Β· πŸ“¦ 22 Β· ⏱️ 02.11.2022): +- [PyPi](https://pypi.org/project/ogb) (πŸ“₯ 92K / month Β· πŸ“¦ 22 Β· ⏱️ 02.11.2022): ``` pip install ogb ``` @@ -2832,18 +2844,6 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas pip install spektral ```
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Paddle Graph Learning (πŸ₯ˆ26 Β· ⭐ 1.6K Β· πŸ’€) - Paddle Graph Learning (PGL) is an efficient and.. Apache-2 - -- [GitHub](https://github.com/PaddlePaddle/PGL) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 310 Β· πŸ“¦ 60 Β· πŸ“‹ 210 - 26% open Β· ⏱️ 26.09.2023): - - ``` - git clone https://github.com/PaddlePaddle/PGL - ``` -- [PyPi](https://pypi.org/project/pgl) (πŸ“₯ 2.6K / month Β· πŸ“¦ 1 Β· ⏱️ 26.09.2023): - ``` - pip install pgl - ``` -
AmpliGraph (πŸ₯ˆ25 Β· ⭐ 2.1K Β· πŸ’€) - Python library for Representation Learning on Knowledge.. Apache-2 - [GitHub](https://github.com/Accenture/AmpliGraph) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 250 Β· πŸ“¦ 55 Β· πŸ“‹ 240 - 17% open Β· ⏱️ 28.02.2024): @@ -2851,14 +2851,14 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/Accenture/AmpliGraph ``` -- [PyPi](https://pypi.org/project/ampligraph) (πŸ“₯ 920 / month Β· πŸ“¦ 2 Β· ⏱️ 26.02.2024): +- [PyPi](https://pypi.org/project/ampligraph) (πŸ“₯ 880 / month Β· πŸ“¦ 2 Β· ⏱️ 26.02.2024): ``` pip install ampligraph ```
Node2Vec (πŸ₯ˆ25 Β· ⭐ 1.2K) - Implementation of the node2vec algorithm. MIT -- [GitHub](https://github.com/eliorc/node2vec) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 240 Β· πŸ“¦ 680 Β· πŸ“‹ 93 - 5% open Β· ⏱️ 02.08.2024): +- [GitHub](https://github.com/eliorc/node2vec) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 240 Β· πŸ“¦ 690 Β· πŸ“‹ 93 - 5% open Β· ⏱️ 02.08.2024): ``` git clone https://github.com/eliorc/node2vec @@ -2872,14 +2872,14 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas conda install -c conda-forge node2vec ```
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PyTorch-BigGraph (πŸ₯‰23 Β· ⭐ 3.4K) - Generate embeddings from large-scale graph-structured.. BSD-3 +
PyTorch-BigGraph (πŸ₯ˆ23 Β· ⭐ 3.4K Β· πŸ’€) - Generate embeddings from large-scale graph-structured.. BSD-3 - [GitHub](https://github.com/facebookresearch/PyTorch-BigGraph) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 450 Β· πŸ“₯ 210 Β· πŸ“‹ 200 - 32% open Β· ⏱️ 03.03.2024): ``` git clone https://github.com/facebookresearch/PyTorch-BigGraph ``` -- [PyPi](https://pypi.org/project/torchbiggraph) (πŸ“₯ 430K / month Β· πŸ“¦ 2 Β· ⏱️ 14.10.2019): +- [PyPi](https://pypi.org/project/torchbiggraph) (πŸ“₯ 420K / month Β· πŸ“¦ 2 Β· ⏱️ 14.10.2019): ``` pip install torchbiggraph ``` @@ -2891,7 +2891,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/rusty1s/pytorch_cluster ``` -- [PyPi](https://pypi.org/project/torch-cluster) (πŸ“₯ 13K / month Β· πŸ“¦ 62 Β· ⏱️ 12.10.2023): +- [PyPi](https://pypi.org/project/torch-cluster) (πŸ“₯ 14K / month Β· πŸ“¦ 62 Β· ⏱️ 12.10.2023): ``` pip install torch-cluster ``` @@ -2907,7 +2907,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/snap-stanford/deepsnap ``` -- [PyPi](https://pypi.org/project/deepsnap) (πŸ“₯ 550 / month Β· πŸ“¦ 2 Β· ⏱️ 05.09.2021): +- [PyPi](https://pypi.org/project/deepsnap) (πŸ“₯ 420 / month Β· πŸ“¦ 2 Β· ⏱️ 05.09.2021): ``` pip install deepsnap ``` @@ -2919,7 +2919,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/gsi-upm/sematch ``` -- [PyPi](https://pypi.org/project/sematch) (πŸ“₯ 340 / month Β· ⏱️ 17.04.2017): +- [PyPi](https://pypi.org/project/sematch) (πŸ“₯ 530 / month Β· ⏱️ 17.04.2017): ``` pip install sematch ``` @@ -2931,7 +2931,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/vaticle/kglib ``` -- [PyPi](https://pypi.org/project/grakn-kglib) (πŸ“₯ 170 / month Β· ⏱️ 19.08.2020): +- [PyPi](https://pypi.org/project/grakn-kglib) (πŸ“₯ 230 / month Β· ⏱️ 19.08.2020): ``` pip install grakn-kglib ``` @@ -2968,20 +2968,21 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas conda install -c milagraph graphvite ```
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Show 18 hidden projects... +
Show 19 hidden projects... -- igraph (πŸ₯‡35 Β· ⭐ 1.3K) - Python interface for igraph. ❗️GPL-2.0 +- igraph (πŸ₯‡34 Β· ⭐ 1.3K) - Python interface for igraph. ❗️GPL-2.0 - StellarGraph (πŸ₯ˆ28 Β· ⭐ 2.9K Β· πŸ’€) - StellarGraph - Machine Learning on Graphs. Apache-2 - pygal (πŸ₯ˆ28 Β· ⭐ 2.6K) - PYthon svg GrAph plotting Library. ❗️LGPL-3.0 +- Paddle Graph Learning (πŸ₯ˆ26 Β· ⭐ 1.6K Β· πŸ’€) - Paddle Graph Learning (PGL) is an efficient and.. Apache-2 - pytorch_geometric_temporal (πŸ₯ˆ24 Β· ⭐ 2.6K Β· πŸ’€) - PyTorch Geometric Temporal: Spatiotemporal Signal.. MIT -- Karate Club (πŸ₯ˆ24 Β· ⭐ 2.1K) - Karate Club: An API Oriented Open-source Python Framework for.. ❗️GPL-3.0 +- Karate Club (πŸ₯ˆ23 Β· ⭐ 2.1K) - Karate Club: An API Oriented Open-source Python Framework for.. ❗️GPL-3.0 +- jraph (πŸ₯ˆ23 Β· ⭐ 1.4K Β· πŸ’€) - A Graph Neural Network Library in Jax. Apache-2 - graph-nets (πŸ₯‰22 Β· ⭐ 5.3K Β· πŸ’€) - Build Graph Nets in Tensorflow. Apache-2 -- jraph (πŸ₯‰22 Β· ⭐ 1.4K Β· πŸ’€) - A Graph Neural Network Library in Jax. Apache-2 -- DIG (πŸ₯‰21 Β· ⭐ 1.9K Β· πŸ’€) - A library for graph deep learning research. ❗️GPL-3.0 -- graph4nlp (πŸ₯‰21 Β· ⭐ 1.7K Β· πŸ’€) - Graph4nlp is the library for the easy use of Graph.. Apache-2 -- pyRDF2Vec (πŸ₯‰21 Β· ⭐ 240 Β· πŸ’€) - Python Implementation and Extension of RDF2Vec. MIT +- graph4nlp (πŸ₯‰22 Β· ⭐ 1.7K Β· πŸ’€) - Graph4nlp is the library for the easy use of Graph.. Apache-2 +- pyRDF2Vec (πŸ₯‰21 Β· ⭐ 240 Β· πŸ’€) - Python Implementation and Extension of RDF2Vec. MIT - DeepWalk (πŸ₯‰20 Β· ⭐ 2.7K Β· πŸ’€) - DeepWalk - Deep Learning for Graphs. ❗️GPL-3.0 -- DeepGraph (πŸ₯‰19 Β· ⭐ 280) - Analyze Data with Pandas-based Networks. Documentation:. BSD-3 +- DIG (πŸ₯‰20 Β· ⭐ 1.9K Β· πŸ’€) - A library for graph deep learning research. ❗️GPL-3.0 +- DeepGraph (πŸ₯‰19 Β· ⭐ 280 Β· πŸ’€) - Analyze Data with Pandas-based Networks. Documentation:. BSD-3 - GraphGym (πŸ₯‰18 Β· ⭐ 1.7K Β· πŸ’€) - Platform for designing and evaluating Graph Neural Networks (GNN). MIT - Euler (πŸ₯‰16 Β· ⭐ 2.9K Β· πŸ’€) - A distributed graph deep learning framework. Apache-2 - GraphSAGE (πŸ₯‰15 Β· ⭐ 3.4K Β· πŸ’€) - Representation learning on large graphs using stochastic.. MIT @@ -2997,38 +2998,38 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas _Libraries for audio analysis, manipulation, transformation, and extraction, as well as speech recognition and music generation tasks._ -
speechbrain (πŸ₯‡39 Β· ⭐ 8.6K Β· πŸ“‰) - A PyTorch-based Speech Toolkit. Apache-2 +
speechbrain (πŸ₯‡40 Β· ⭐ 8.6K) - A PyTorch-based Speech Toolkit. Apache-2 -- [GitHub](https://github.com/speechbrain/speechbrain) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 1.4K Β· πŸ“¦ 2.3K Β· πŸ“‹ 1.1K - 12% open Β· ⏱️ 25.09.2024): +- [GitHub](https://github.com/speechbrain/speechbrain) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 1.4K Β· πŸ“¦ 2.3K Β· πŸ“‹ 1.1K - 12% open Β· ⏱️ 01.10.2024): ``` git clone https://github.com/speechbrain/speechbrain ``` -- [PyPi](https://pypi.org/project/speechbrain) (πŸ“₯ 2.8M / month Β· πŸ“¦ 62 Β· ⏱️ 02.09.2024): +- [PyPi](https://pypi.org/project/speechbrain) (πŸ“₯ 2.9M / month Β· πŸ“¦ 62 Β· ⏱️ 02.09.2024): ``` pip install speechbrain ```
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espnet (πŸ₯‡37 Β· ⭐ 8.3K) - End-to-End Speech Processing Toolkit. Apache-2 +
espnet (πŸ₯‡38 Β· ⭐ 8.3K) - End-to-End Speech Processing Toolkit. Apache-2 -- [GitHub](https://github.com/espnet/espnet) (πŸ‘¨β€πŸ’» 450 Β· πŸ”€ 2.2K Β· πŸ“₯ 82 Β· πŸ“¦ 370 Β· πŸ“‹ 2.4K - 14% open Β· ⏱️ 24.09.2024): +- [GitHub](https://github.com/espnet/espnet) (πŸ‘¨β€πŸ’» 450 Β· πŸ”€ 2.2K Β· πŸ“₯ 82 Β· πŸ“¦ 370 Β· πŸ“‹ 2.4K - 14% open Β· ⏱️ 01.10.2024): ``` git clone https://github.com/espnet/espnet ``` -- [PyPi](https://pypi.org/project/espnet) (πŸ“₯ 35K / month Β· πŸ“¦ 12 Β· ⏱️ 06.02.2024): +- [PyPi](https://pypi.org/project/espnet) (πŸ“₯ 30K / month Β· πŸ“¦ 12 Β· ⏱️ 06.02.2024): ``` pip install espnet ```
Coqui TTS (πŸ₯‡35 Β· ⭐ 34K Β· πŸ’€) - - a deep learning toolkit for Text-to-Speech, battle-.. MPL-2.0 -- [GitHub](https://github.com/coqui-ai/TTS) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 4K Β· πŸ“₯ 3.2M Β· πŸ“¦ 1.7K Β· πŸ“‹ 1.1K - 6% open Β· ⏱️ 10.02.2024): +- [GitHub](https://github.com/coqui-ai/TTS) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 4.1K Β· πŸ“₯ 3.3M Β· πŸ“¦ 1.7K Β· πŸ“‹ 1.1K - 7% open Β· ⏱️ 10.02.2024): ``` git clone https://github.com/coqui-ai/TTS ``` -- [PyPi](https://pypi.org/project/tts) (πŸ“₯ 110K / month Β· πŸ“¦ 51 Β· ⏱️ 12.12.2023): +- [PyPi](https://pypi.org/project/tts) (πŸ“₯ 110K / month Β· πŸ“¦ 53 Β· ⏱️ 12.12.2023): ``` pip install tts ``` @@ -3039,24 +3040,24 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
torchaudio (πŸ₯‡35 Β· ⭐ 2.5K) - Data manipulation and transformation for audio signal.. BSD-2 -- [GitHub](https://github.com/pytorch/audio) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 640 Β· πŸ“‹ 980 - 25% open Β· ⏱️ 14.09.2024): +- [GitHub](https://github.com/pytorch/audio) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 640 Β· πŸ“‹ 980 - 25% open Β· ⏱️ 29.09.2024): ``` git clone https://github.com/pytorch/audio ``` -- [PyPi](https://pypi.org/project/torchaudio) (πŸ“₯ 5.2M / month Β· πŸ“¦ 1.3K Β· ⏱️ 04.09.2024): +- [PyPi](https://pypi.org/project/torchaudio) (πŸ“₯ 5.4M / month Β· πŸ“¦ 1.3K Β· ⏱️ 04.09.2024): ``` pip install torchaudio ```
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SpeechRecognition (πŸ₯ˆ33 Β· ⭐ 8.3K) - Speech recognition module for Python, supporting several.. BSD-3 +
SpeechRecognition (πŸ₯ˆ33 Β· ⭐ 8.4K) - Speech recognition module for Python, supporting several.. BSD-3 - [GitHub](https://github.com/Uberi/speech_recognition) (πŸ‘¨β€πŸ’» 51 Β· πŸ”€ 2.4K Β· πŸ“¦ 21 Β· πŸ“‹ 640 - 50% open Β· ⏱️ 13.08.2024): ``` git clone https://github.com/Uberi/speech_recognition ``` -- [PyPi](https://pypi.org/project/SpeechRecognition) (πŸ“₯ 1.1M / month Β· πŸ“¦ 570 Β· ⏱️ 05.05.2024): +- [PyPi](https://pypi.org/project/SpeechRecognition) (πŸ“₯ 1.1M / month Β· πŸ“¦ 580 Β· ⏱️ 05.05.2024): ``` pip install SpeechRecognition ``` @@ -3065,14 +3066,14 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as conda install -c conda-forge speechrecognition ```
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librosa (πŸ₯ˆ33 Β· ⭐ 7K) - Python library for audio and music analysis. ISC +
librosa (πŸ₯ˆ33 Β· ⭐ 7.1K) - Python library for audio and music analysis. ISC - [GitHub](https://github.com/librosa/librosa) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 960 Β· πŸ“‹ 1.2K - 4% open Β· ⏱️ 09.09.2024): ``` git clone https://github.com/librosa/librosa ``` -- [PyPi](https://pypi.org/project/librosa) (πŸ“₯ 2.9M / month Β· πŸ“¦ 1.3K Β· ⏱️ 14.05.2024): +- [PyPi](https://pypi.org/project/librosa) (πŸ“₯ 2.9M / month Β· πŸ“¦ 1.4K Β· ⏱️ 14.05.2024): ``` pip install librosa ``` @@ -3088,19 +3089,31 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/magenta/magenta ``` -- [PyPi](https://pypi.org/project/magenta) (πŸ“₯ 5.9K / month Β· πŸ“¦ 5 Β· ⏱️ 01.08.2022): +- [PyPi](https://pypi.org/project/magenta) (πŸ“₯ 6.1K / month Β· πŸ“¦ 5 Β· ⏱️ 01.08.2022): ``` pip install magenta ```
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audiomentations (πŸ₯ˆ31 Β· ⭐ 1.8K Β· πŸ“ˆ) - A Python library for audio data augmentation. Inspired by.. MIT + +- [GitHub](https://github.com/iver56/audiomentations) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 190 Β· πŸ“¦ 570 Β· πŸ“‹ 180 - 25% open Β· ⏱️ 02.10.2024): + + ``` + git clone https://github.com/iver56/audiomentations + ``` +- [PyPi](https://pypi.org/project/audiomentations) (πŸ“₯ 49K / month Β· πŸ“¦ 18 Β· ⏱️ 03.09.2024): + ``` + pip install audiomentations + ``` +
Porcupine (πŸ₯ˆ30 Β· ⭐ 3.7K) - On-device wake word detection powered by deep learning. Apache-2 -- [GitHub](https://github.com/Picovoice/porcupine) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 500 Β· πŸ“¦ 33 Β· πŸ“‹ 550 - 0% open Β· ⏱️ 17.09.2024): +- [GitHub](https://github.com/Picovoice/porcupine) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 500 Β· πŸ“¦ 34 Β· πŸ“‹ 550 - 0% open Β· ⏱️ 27.09.2024): ``` git clone https://github.com/Picovoice/Porcupine ``` -- [PyPi](https://pypi.org/project/pvporcupine) (πŸ“₯ 12K / month Β· πŸ“¦ 35 Β· ⏱️ 27.08.2024): +- [PyPi](https://pypi.org/project/pvporcupine) (πŸ“₯ 11K / month Β· πŸ“¦ 35 Β· ⏱️ 27.08.2024): ``` pip install pvporcupine ``` @@ -3121,26 +3134,26 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as conda install -c conda-forge audioread ```
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audiomentations (πŸ₯‰29 Β· ⭐ 1.8K) - A Python library for audio data augmentation. Inspired by.. MIT +
pyAudioAnalysis (πŸ₯‰28 Β· ⭐ 5.8K Β· πŸ’€) - Python Audio Analysis Library: Feature Extraction,.. Apache-2 -- [GitHub](https://github.com/iver56/audiomentations) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 190 Β· πŸ“¦ 570 Β· πŸ“‹ 180 - 25% open Β· ⏱️ 26.09.2024): +- [GitHub](https://github.com/tyiannak/pyAudioAnalysis) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 1.2K Β· πŸ“¦ 510 Β· πŸ“‹ 320 - 62% open Β· ⏱️ 22.10.2023): ``` - git clone https://github.com/iver56/audiomentations + git clone https://github.com/tyiannak/pyAudioAnalysis ``` -- [PyPi](https://pypi.org/project/audiomentations) (πŸ“₯ 52K / month Β· πŸ“¦ 18 Β· ⏱️ 03.09.2024): +- [PyPi](https://pypi.org/project/pyAudioAnalysis) (πŸ“₯ 16K / month Β· πŸ“¦ 12 Β· ⏱️ 07.02.2022): ``` - pip install audiomentations + pip install pyAudioAnalysis ```
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python-soundfile (πŸ₯‰29 Β· ⭐ 700) - SoundFile is an audio library based on libsndfile, CFFI, and.. BSD-3 +
python-soundfile (πŸ₯‰28 Β· ⭐ 700) - SoundFile is an audio library based on libsndfile, CFFI, and.. BSD-3 -- [GitHub](https://github.com/bastibe/python-soundfile) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 110 Β· πŸ“₯ 20K Β· πŸ“¦ 42K Β· πŸ“‹ 260 - 46% open Β· ⏱️ 27.07.2024): +- [GitHub](https://github.com/bastibe/python-soundfile) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 110 Β· πŸ“₯ 20K Β· πŸ“¦ 43K Β· πŸ“‹ 260 - 46% open Β· ⏱️ 27.07.2024): ``` git clone https://github.com/bastibe/python-soundfile ``` -- [PyPi](https://pypi.org/project/soundfile) (πŸ“₯ 5.7M / month Β· πŸ“¦ 780 Β· ⏱️ 15.02.2023): +- [PyPi](https://pypi.org/project/soundfile) (πŸ“₯ 5.8M / month Β· πŸ“¦ 780 Β· ⏱️ 15.02.2023): ``` pip install soundfile ``` @@ -3149,18 +3162,6 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as conda install -c anaconda pysoundfile ```
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pyAudioAnalysis (πŸ₯‰28 Β· ⭐ 5.8K Β· πŸ’€) - Python Audio Analysis Library: Feature Extraction,.. Apache-2 - -- [GitHub](https://github.com/tyiannak/pyAudioAnalysis) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 1.2K Β· πŸ“¦ 500 Β· πŸ“‹ 320 - 62% open Β· ⏱️ 22.10.2023): - - ``` - git clone https://github.com/tyiannak/pyAudioAnalysis - ``` -- [PyPi](https://pypi.org/project/pyAudioAnalysis) (πŸ“₯ 17K / month Β· πŸ“¦ 12 Β· ⏱️ 07.02.2022): - ``` - pip install pyAudioAnalysis - ``` -
Madmom (πŸ₯‰27 Β· ⭐ 1.3K) - Python audio and music signal processing library. BSD-3 - [GitHub](https://github.com/CPJKU/madmom) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 200 Β· πŸ“¦ 440 Β· πŸ“‹ 280 - 24% open Β· ⏱️ 25.08.2024): @@ -3168,7 +3169,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/CPJKU/madmom ``` -- [PyPi](https://pypi.org/project/madmom) (πŸ“₯ 2.8K / month Β· πŸ“¦ 27 Β· ⏱️ 14.11.2018): +- [PyPi](https://pypi.org/project/madmom) (πŸ“₯ 3K / month Β· πŸ“¦ 27 Β· ⏱️ 14.11.2018): ``` pip install madmom ``` @@ -3180,7 +3181,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/magenta/ddsp ``` -- [PyPi](https://pypi.org/project/ddsp) (πŸ“₯ 2.7K / month Β· πŸ“¦ 1 Β· ⏱️ 25.05.2022): +- [PyPi](https://pypi.org/project/ddsp) (πŸ“₯ 2.9K / month Β· πŸ“¦ 1 Β· ⏱️ 25.05.2022): ``` pip install ddsp ``` @@ -3203,20 +3204,20 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
nnAudio (πŸ₯‰22 Β· ⭐ 1K Β· πŸ’€) - Audio processing by using pytorch 1D convolution network. MIT -- [GitHub](https://github.com/KinWaiCheuk/nnAudio) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 89 Β· πŸ“¦ 210 Β· πŸ“‹ 63 - 28% open Β· ⏱️ 13.02.2024): +- [GitHub](https://github.com/KinWaiCheuk/nnAudio) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 89 Β· πŸ“¦ 220 Β· πŸ“‹ 63 - 28% open Β· ⏱️ 13.02.2024): ``` git clone https://github.com/KinWaiCheuk/nnAudio ``` -- [PyPi](https://pypi.org/project/nnAudio) (πŸ“₯ 14K / month Β· πŸ“¦ 4 Β· ⏱️ 13.02.2024): +- [PyPi](https://pypi.org/project/nnAudio) (πŸ“₯ 16K / month Β· πŸ“¦ 4 Β· ⏱️ 13.02.2024): ``` pip install nnAudio ```
Show 13 hidden projects... -- Pydub (πŸ₯‡35 Β· ⭐ 8.8K Β· πŸ’€) - Manipulate audio with a simple and easy high level interface. MIT - DeepSpeech (πŸ₯ˆ34 Β· ⭐ 25K Β· πŸ’€) - DeepSpeech is an open source embedded (offline, on-.. MPL-2.0 +- Pydub (πŸ₯ˆ34 Β· ⭐ 8.8K Β· πŸ’€) - Manipulate audio with a simple and easy high level interface. MIT - spleeter (πŸ₯ˆ31 Β· ⭐ 26K Β· πŸ’€) - Deezer source separation library including pretrained models. MIT - aubio (πŸ₯‰28 Β· ⭐ 3.3K Β· πŸ’€) - a library for audio and music analysis. ❗️GPL-3.0 - Essentia (πŸ₯‰28 Β· ⭐ 2.8K) - C++ library for audio and music analysis, description and.. ❗️AGPL-3.0 @@ -3239,27 +3240,27 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
pydeck (πŸ₯‡43 Β· ⭐ 12K) - WebGL2 powered visualization framework. MIT -- [GitHub](https://github.com/visgl/deck.gl) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 2.1K Β· πŸ“¦ 8.1K Β· πŸ“‹ 3.1K - 11% open Β· ⏱️ 26.09.2024): +- [GitHub](https://github.com/visgl/deck.gl) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 2.1K Β· πŸ“¦ 8.1K Β· πŸ“‹ 3.1K - 11% open Β· ⏱️ 02.10.2024): ``` git clone https://github.com/visgl/deck.gl ``` -- [PyPi](https://pypi.org/project/pydeck) (πŸ“₯ 5.1M / month Β· πŸ“¦ 110 Β· ⏱️ 10.05.2024): +- [PyPi](https://pypi.org/project/pydeck) (πŸ“₯ 5.3M / month Β· πŸ“¦ 120 Β· ⏱️ 10.05.2024): ``` pip install pydeck ``` -- [Conda](https://anaconda.org/conda-forge/pydeck) (πŸ“₯ 610K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/pydeck) (πŸ“₯ 620K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge pydeck ``` -- [npm](https://www.npmjs.com/package/deck.gl) (πŸ“₯ 570K / month Β· πŸ“¦ 300 Β· ⏱️ 23.09.2024): +- [npm](https://www.npmjs.com/package/deck.gl) (πŸ“₯ 580K / month Β· πŸ“¦ 300 Β· ⏱️ 02.10.2024): ``` npm install deck.gl ```
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Shapely (πŸ₯‡40 Β· ⭐ 3.8K) - Manipulation and analysis of geometric objects. BSD-3 +
Shapely (πŸ₯‡41 Β· ⭐ 3.8K) - Manipulation and analysis of geometric objects. BSD-3 -- [GitHub](https://github.com/shapely/shapely) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 560 Β· πŸ“₯ 3.7K Β· πŸ“¦ 80K Β· πŸ“‹ 1.2K - 23% open Β· ⏱️ 24.09.2024): +- [GitHub](https://github.com/shapely/shapely) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 560 Β· πŸ“₯ 3.7K Β· πŸ“¦ 81K Β· πŸ“‹ 1.2K - 23% open Β· ⏱️ 02.10.2024): ``` git clone https://github.com/shapely/shapely @@ -3280,7 +3281,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` git clone https://github.com/geopandas/geopandas ``` -- [PyPi](https://pypi.org/project/geopandas) (πŸ“₯ 7.1M / month Β· πŸ“¦ 2.8K Β· ⏱️ 02.07.2024): +- [PyPi](https://pypi.org/project/geopandas) (πŸ“₯ 7.3M / month Β· πŸ“¦ 2.8K Β· ⏱️ 02.07.2024): ``` pip install geopandas ``` @@ -3291,12 +3292,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
folium (πŸ₯ˆ38 Β· ⭐ 6.9K) - Python Data. Leaflet.js Maps. MIT -- [GitHub](https://github.com/python-visualization/folium) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 2.2K Β· πŸ“¦ 43K Β· πŸ“‹ 1.1K - 7% open Β· ⏱️ 04.09.2024): +- [GitHub](https://github.com/python-visualization/folium) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 2.2K Β· πŸ“¦ 43K Β· πŸ“‹ 1.1K - 7% open Β· ⏱️ 03.10.2024): ``` git clone https://github.com/python-visualization/folium ``` -- [PyPi](https://pypi.org/project/folium) (πŸ“₯ 1.5M / month Β· πŸ“¦ 740 Β· ⏱️ 16.06.2024): +- [PyPi](https://pypi.org/project/folium) (πŸ“₯ 1.5M / month Β· πŸ“¦ 750 Β· ⏱️ 16.06.2024): ``` pip install folium ``` @@ -3305,78 +3306,78 @@ _Libraries to load, process, analyze, and write geographic data as well as libra conda install -c conda-forge folium ```
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Rasterio (πŸ₯ˆ37 Β· ⭐ 2.2K) - Rasterio reads and writes geospatial raster datasets. BSD-3 +
Rasterio (πŸ₯ˆ38 Β· ⭐ 2.2K) - Rasterio reads and writes geospatial raster datasets. BSD-3 -- [GitHub](https://github.com/rasterio/rasterio) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 530 Β· πŸ“₯ 960 Β· πŸ“¦ 13K Β· πŸ“‹ 1.8K - 7% open Β· ⏱️ 26.09.2024): +- [GitHub](https://github.com/rasterio/rasterio) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 530 Β· πŸ“₯ 960 Β· πŸ“¦ 13K Β· πŸ“‹ 1.8K - 7% open Β· ⏱️ 01.10.2024): ``` git clone https://github.com/rasterio/rasterio ``` -- [PyPi](https://pypi.org/project/rasterio) (πŸ“₯ 3.1M / month Β· πŸ“¦ 1.4K Β· ⏱️ 26.09.2024): +- [PyPi](https://pypi.org/project/rasterio) (πŸ“₯ 3.3M / month Β· πŸ“¦ 1.4K Β· ⏱️ 01.10.2024): ``` pip install rasterio ``` -- [Conda](https://anaconda.org/conda-forge/rasterio) (πŸ“₯ 3.6M Β· ⏱️ 26.09.2024): +- [Conda](https://anaconda.org/conda-forge/rasterio) (πŸ“₯ 3.6M Β· ⏱️ 01.10.2024): ``` conda install -c conda-forge rasterio ```
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Fiona (πŸ₯ˆ37 Β· ⭐ 1.2K) - Fiona reads and writes geographic data files. BSD-3 +
ArcGIS API (πŸ₯ˆ37 Β· ⭐ 1.9K) - Documentation and samples for ArcGIS API for Python. Apache-2 -- [GitHub](https://github.com/Toblerity/Fiona) (πŸ‘¨β€πŸ’» 76 Β· πŸ”€ 200 Β· πŸ“¦ 23K Β· πŸ“‹ 800 - 3% open Β· ⏱️ 16.09.2024): +- [GitHub](https://github.com/Esri/arcgis-python-api) (πŸ‘¨β€πŸ’» 92 Β· πŸ”€ 1.1K Β· πŸ“₯ 12K Β· πŸ“¦ 830 Β· πŸ“‹ 760 - 8% open Β· ⏱️ 02.10.2024): ``` - git clone https://github.com/Toblerity/Fiona + git clone https://github.com/Esri/arcgis-python-api ``` -- [PyPi](https://pypi.org/project/fiona) (πŸ“₯ 5.1M / month Β· πŸ“¦ 270 Β· ⏱️ 16.09.2024): +- [PyPi](https://pypi.org/project/arcgis) (πŸ“₯ 75K / month Β· πŸ“¦ 40 Β· ⏱️ 01.10.2024): ``` - pip install fiona + pip install arcgis ``` -- [Conda](https://anaconda.org/conda-forge/fiona) (πŸ“₯ 6M Β· ⏱️ 18.09.2024): +- [Docker Hub](https://hub.docker.com/r/esridocker/arcgis-api-python-notebook): ``` - conda install -c conda-forge fiona + docker pull esridocker/arcgis-api-python-notebook ```
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ArcGIS API (πŸ₯ˆ36 Β· ⭐ 1.9K) - Documentation and samples for ArcGIS API for Python. Apache-2 +
Fiona (πŸ₯ˆ37 Β· ⭐ 1.2K) - Fiona reads and writes geographic data files. BSD-3 -- [GitHub](https://github.com/Esri/arcgis-python-api) (πŸ‘¨β€πŸ’» 92 Β· πŸ”€ 1.1K Β· πŸ“₯ 12K Β· πŸ“¦ 820 Β· πŸ“‹ 760 - 9% open Β· ⏱️ 25.09.2024): +- [GitHub](https://github.com/Toblerity/Fiona) (πŸ‘¨β€πŸ’» 76 Β· πŸ”€ 200 Β· πŸ“¦ 23K Β· πŸ“‹ 800 - 3% open Β· ⏱️ 30.09.2024): ``` - git clone https://github.com/Esri/arcgis-python-api + git clone https://github.com/Toblerity/Fiona ``` -- [PyPi](https://pypi.org/project/arcgis) (πŸ“₯ 73K / month Β· πŸ“¦ 40 Β· ⏱️ 09.07.2024): +- [PyPi](https://pypi.org/project/fiona) (πŸ“₯ 5.2M / month Β· πŸ“¦ 270 Β· ⏱️ 16.09.2024): ``` - pip install arcgis + pip install fiona ``` -- [Docker Hub](https://hub.docker.com/r/esridocker/arcgis-api-python-notebook): +- [Conda](https://anaconda.org/conda-forge/fiona) (πŸ“₯ 6M Β· ⏱️ 18.09.2024): ``` - docker pull esridocker/arcgis-api-python-notebook + conda install -c conda-forge fiona ```
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pyproj (πŸ₯ˆ35 Β· ⭐ 1K) - Python interface to PROJ (cartographic projections and coordinate.. MIT +
pyproj (πŸ₯ˆ36 Β· ⭐ 1K) - Python interface to PROJ (cartographic projections and coordinate.. MIT -- [GitHub](https://github.com/pyproj4/pyproj) (πŸ‘¨β€πŸ’» 66 Β· πŸ”€ 210 Β· πŸ“¦ 34K Β· πŸ“‹ 620 - 5% open Β· ⏱️ 23.09.2024): +- [GitHub](https://github.com/pyproj4/pyproj) (πŸ‘¨β€πŸ’» 66 Β· πŸ”€ 210 Β· πŸ“¦ 34K Β· πŸ“‹ 620 - 5% open Β· ⏱️ 01.10.2024): ``` git clone https://github.com/pyproj4/pyproj ``` -- [PyPi](https://pypi.org/project/pyproj) (πŸ“₯ 9.1M / month Β· πŸ“¦ 1.7K Β· ⏱️ 21.09.2023): +- [PyPi](https://pypi.org/project/pyproj) (πŸ“₯ 9.2M / month Β· πŸ“¦ 1.7K Β· ⏱️ 01.10.2024): ``` pip install pyproj ``` -- [Conda](https://anaconda.org/conda-forge/pyproj) (πŸ“₯ 8.6M Β· ⏱️ 18.09.2024): +- [Conda](https://anaconda.org/conda-forge/pyproj) (πŸ“₯ 8.7M Β· ⏱️ 01.10.2024): ``` conda install -c conda-forge pyproj ```
geopy (πŸ₯ˆ33 Β· ⭐ 4.4K Β· πŸ’€) - Geocoding library for Python. MIT -- [GitHub](https://github.com/geopy/geopy) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 640 Β· πŸ“₯ 82 Β· πŸ“‹ 290 - 13% open Β· ⏱️ 23.11.2023): +- [GitHub](https://github.com/geopy/geopy) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 640 Β· πŸ“₯ 83 Β· πŸ“‹ 290 - 13% open Β· ⏱️ 23.11.2023): ``` git clone https://github.com/geopy/geopy ``` -- [PyPi](https://pypi.org/project/geopy) (πŸ“₯ 6M / month Β· πŸ“¦ 880 Β· ⏱️ 23.11.2023): +- [PyPi](https://pypi.org/project/geopy) (πŸ“₯ 6.2M / month Β· πŸ“¦ 890 Β· ⏱️ 23.11.2023): ``` pip install geopy ``` @@ -3392,7 +3393,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` git clone https://github.com/jupyter-widgets/ipyleaflet ``` -- [PyPi](https://pypi.org/project/ipyleaflet) (πŸ“₯ 310K / month Β· πŸ“¦ 280 Β· ⏱️ 22.07.2024): +- [PyPi](https://pypi.org/project/ipyleaflet) (πŸ“₯ 280K / month Β· πŸ“¦ 280 Β· ⏱️ 22.07.2024): ``` pip install ipyleaflet ``` @@ -3400,19 +3401,19 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` conda install -c conda-forge ipyleaflet ``` -- [npm](https://www.npmjs.com/package/jupyter-leaflet) (πŸ“₯ 7.7K / month Β· πŸ“¦ 9 Β· ⏱️ 22.07.2024): +- [npm](https://www.npmjs.com/package/jupyter-leaflet) (πŸ“₯ 7.8K / month Β· πŸ“¦ 9 Β· ⏱️ 22.07.2024): ``` npm install jupyter-leaflet ```
PySAL (πŸ₯‰32 Β· ⭐ 1.3K) - PySAL: Python Spatial Analysis Library Meta-Package. BSD-3 -- [GitHub](https://github.com/pysal/pysal) (πŸ‘¨β€πŸ’» 79 Β· πŸ”€ 300 Β· πŸ“¦ 1.7K Β· πŸ“‹ 650 - 2% open Β· ⏱️ 31.07.2024): +- [GitHub](https://github.com/pysal/pysal) (πŸ‘¨β€πŸ’» 79 Β· πŸ”€ 300 Β· πŸ“¦ 1.7K Β· πŸ“‹ 650 - 2% open Β· ⏱️ 01.10.2024): ``` git clone https://github.com/pysal/pysal ``` -- [PyPi](https://pypi.org/project/pysal) (πŸ“₯ 45K / month Β· πŸ“¦ 49 Β· ⏱️ 30.07.2024): +- [PyPi](https://pypi.org/project/pysal) (πŸ“₯ 46K / month Β· πŸ“¦ 49 Β· ⏱️ 30.07.2024): ``` pip install pysal ``` @@ -3423,12 +3424,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
geojson (πŸ₯‰29 Β· ⭐ 910) - Python bindings and utilities for GeoJSON. BSD-3 -- [GitHub](https://github.com/jazzband/geojson) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 120 Β· πŸ“¦ 18K Β· πŸ“‹ 100 - 25% open Β· ⏱️ 08.08.2024): +- [GitHub](https://github.com/jazzband/geojson) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 120 Β· πŸ“¦ 18K Β· πŸ“‹ 100 - 26% open Β· ⏱️ 08.08.2024): ``` git clone https://github.com/jazzband/geojson ``` -- [PyPi](https://pypi.org/project/geojson) (πŸ“₯ 2.8M / month Β· πŸ“¦ 700 Β· ⏱️ 05.11.2023): +- [PyPi](https://pypi.org/project/geojson) (πŸ“₯ 3M / month Β· πŸ“¦ 700 Β· ⏱️ 05.11.2023): ``` pip install geojson ``` @@ -3439,16 +3440,16 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
GeoViews (πŸ₯‰29 Β· ⭐ 590) - Simple, concise geographical visualization in Python. BSD-3 -- [GitHub](https://github.com/holoviz/geoviews) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 75 Β· πŸ“¦ 1.1K Β· πŸ“‹ 340 - 29% open Β· ⏱️ 20.09.2024): +- [GitHub](https://github.com/holoviz/geoviews) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 75 Β· πŸ“¦ 1.1K Β· πŸ“‹ 340 - 29% open Β· ⏱️ 30.09.2024): ``` git clone https://github.com/holoviz/geoviews ``` -- [PyPi](https://pypi.org/project/geoviews) (πŸ“₯ 13K / month Β· πŸ“¦ 59 Β· ⏱️ 16.09.2024): +- [PyPi](https://pypi.org/project/geoviews) (πŸ“₯ 14K / month Β· πŸ“¦ 59 Β· ⏱️ 16.09.2024): ``` pip install geoviews ``` -- [Conda](https://anaconda.org/conda-forge/geoviews) (πŸ“₯ 240K Β· ⏱️ 17.09.2024): +- [Conda](https://anaconda.org/conda-forge/geoviews) (πŸ“₯ 250K Β· ⏱️ 17.09.2024): ``` conda install -c conda-forge geoviews ``` @@ -3460,11 +3461,11 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` git clone https://github.com/geospace-code/pymap3d ``` -- [PyPi](https://pypi.org/project/pymap3d) (πŸ“₯ 210K / month Β· πŸ“¦ 44 Β· ⏱️ 11.02.2024): +- [PyPi](https://pypi.org/project/pymap3d) (πŸ“₯ 220K / month Β· πŸ“¦ 44 Β· ⏱️ 11.02.2024): ``` pip install pymap3d ``` -- [Conda](https://anaconda.org/conda-forge/pymap3d) (πŸ“₯ 81K Β· ⏱️ 11.02.2024): +- [Conda](https://anaconda.org/conda-forge/pymap3d) (πŸ“₯ 82K Β· ⏱️ 11.02.2024): ``` conda install -c conda-forge pymap3d ``` @@ -3473,10 +3474,10 @@ _Libraries to load, process, analyze, and write geographic data as well as libra - Geocoder (πŸ₯‰32 Β· ⭐ 1.6K Β· πŸ’€) - Python Geocoder. MIT - Satpy (πŸ₯‰32 Β· ⭐ 1.1K) - Python package for earth-observing satellite data processing. ❗️GPL-3.0 -- Sentinelsat (πŸ₯‰26 Β· ⭐ 980 Β· πŸ’€) - Search and download Copernicus Sentinel satellite images. ❗️GPL-3.0 +- Sentinelsat (πŸ₯‰27 Β· ⭐ 980 Β· πŸ’€) - Search and download Copernicus Sentinel satellite images. ❗️GPL-3.0 - EarthPy (πŸ₯‰26 Β· ⭐ 500 Β· πŸ’€) - A package built to support working with spatial data using open.. BSD-3 -- prettymaps (πŸ₯‰24 Β· ⭐ 11K) - A small set of Python functions to draw pretty maps from.. ❗️AGPL-3.0 - Mapbox GL (πŸ₯‰24 Β· ⭐ 660 Β· πŸ’€) - Use Mapbox GL JS to visualize data in a Python Jupyter notebook. MIT +- prettymaps (πŸ₯‰23 Β· ⭐ 11K) - A small set of Python functions to draw pretty maps from.. ❗️AGPL-3.0 - gmaps (πŸ₯‰22 Β· ⭐ 760 Β· πŸ’€) - Google maps for Jupyter notebooks. BSD-3 - geoplotlib (πŸ₯‰20 Β· ⭐ 1K Β· πŸ’€) - python toolbox for visualizing geographical data and making maps. MIT
@@ -3490,51 +3491,51 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
yfinance (πŸ₯‡41 Β· ⭐ 13K) - Download market data from Yahoo! Finances API. Apache-2 -- [GitHub](https://github.com/ranaroussi/yfinance) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 2.3K Β· πŸ“¦ 47K Β· πŸ“‹ 1.4K - 13% open Β· ⏱️ 21.09.2024): +- [GitHub](https://github.com/ranaroussi/yfinance) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 2.3K Β· πŸ“¦ 48K Β· πŸ“‹ 1.4K - 13% open Β· ⏱️ 02.10.2024): ``` git clone https://github.com/ranaroussi/yfinance ``` -- [PyPi](https://pypi.org/project/yfinance) (πŸ“₯ 2.3M / month Β· πŸ“¦ 630 Β· ⏱️ 24.08.2024): +- [PyPi](https://pypi.org/project/yfinance) (πŸ“₯ 2.2M / month Β· πŸ“¦ 660 Β· ⏱️ 30.09.2024): ``` pip install yfinance ``` -- [Conda](https://anaconda.org/ranaroussi/yfinance) (πŸ“₯ 95K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/ranaroussi/yfinance) (πŸ“₯ 96K Β· ⏱️ 16.06.2023): ``` conda install -c ranaroussi yfinance ```
bt (πŸ₯‡31 Β· ⭐ 2.2K) - bt - flexible backtesting for Python. MIT -- [GitHub](https://github.com/pmorissette/bt) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 410 Β· πŸ“¦ 1.6K Β· πŸ“‹ 340 - 22% open Β· ⏱️ 24.09.2024): +- [GitHub](https://github.com/pmorissette/bt) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 410 Β· πŸ“¦ 1.6K Β· πŸ“‹ 340 - 22% open Β· ⏱️ 01.10.2024): ``` git clone https://github.com/pmorissette/bt ``` -- [PyPi](https://pypi.org/project/bt) (πŸ“₯ 7.5K / month Β· πŸ“¦ 10 Β· ⏱️ 06.08.2024): +- [PyPi](https://pypi.org/project/bt) (πŸ“₯ 7.9K / month Β· πŸ“¦ 10 Β· ⏱️ 06.08.2024): ``` pip install bt ``` -- [Conda](https://anaconda.org/conda-forge/bt) (πŸ“₯ 44K Β· ⏱️ 21.09.2024): +- [Conda](https://anaconda.org/conda-forge/bt) (πŸ“₯ 45K Β· ⏱️ 21.09.2024): ``` conda install -c conda-forge bt ```
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Qlib (πŸ₯ˆ30 Β· ⭐ 15K Β· πŸ“‰) - Qlib is an AI-oriented quantitative investment platform that aims to.. MIT +
Qlib (πŸ₯ˆ30 Β· ⭐ 15K) - Qlib is an AI-oriented quantitative investment platform that aims to.. MIT - [GitHub](https://github.com/microsoft/qlib) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 2.6K Β· πŸ“₯ 720 Β· πŸ“¦ 21 Β· πŸ“‹ 930 - 25% open Β· ⏱️ 12.09.2024): ``` git clone https://github.com/microsoft/qlib ``` -- [PyPi](https://pypi.org/project/pyqlib) (πŸ“₯ 3.1K / month Β· πŸ“¦ 1 Β· ⏱️ 24.05.2024): +- [PyPi](https://pypi.org/project/pyqlib) (πŸ“₯ 3.3K / month Β· πŸ“¦ 1 Β· ⏱️ 24.05.2024): ``` pip install pyqlib ```
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ta (πŸ₯ˆ30 Β· ⭐ 4.3K Β· πŸ’€) - Technical Analysis Library using Pandas and Numpy. MIT +
ta (πŸ₯ˆ29 Β· ⭐ 4.3K Β· πŸ’€) - Technical Analysis Library using Pandas and Numpy. MIT -- [GitHub](https://github.com/bukosabino/ta) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 860 Β· πŸ“¦ 4.1K Β· πŸ“‹ 240 - 56% open Β· ⏱️ 02.11.2023): +- [GitHub](https://github.com/bukosabino/ta) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 870 Β· πŸ“¦ 4.2K Β· πŸ“‹ 240 - 56% open Β· ⏱️ 02.11.2023): ``` git clone https://github.com/bukosabino/ta @@ -3555,23 +3556,23 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/RomelTorres/alpha_vantage ``` -- [PyPi](https://pypi.org/project/alpha_vantage) (πŸ“₯ 34K / month Β· πŸ“¦ 35 Β· ⏱️ 18.07.2024): +- [PyPi](https://pypi.org/project/alpha_vantage) (πŸ“₯ 37K / month Β· πŸ“¦ 35 Β· ⏱️ 18.07.2024): ``` pip install alpha_vantage ``` -- [Conda](https://anaconda.org/conda-forge/alpha_vantage) (πŸ“₯ 7.4K Β· ⏱️ 09.08.2024): +- [Conda](https://anaconda.org/conda-forge/alpha_vantage) (πŸ“₯ 7.5K Β· ⏱️ 09.08.2024): ``` conda install -c conda-forge alpha_vantage ```
ffn (πŸ₯ˆ29 Β· ⭐ 2K) - ffn - a financial function library for Python. MIT -- [GitHub](https://github.com/pmorissette/ffn) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 290 Β· πŸ“¦ 490 Β· πŸ“‹ 130 - 17% open Β· ⏱️ 06.08.2024): +- [GitHub](https://github.com/pmorissette/ffn) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 290 Β· πŸ“¦ 490 Β· πŸ“‹ 130 - 17% open Β· ⏱️ 01.10.2024): ``` git clone https://github.com/pmorissette/ffn ``` -- [PyPi](https://pypi.org/project/ffn) (πŸ“₯ 15K / month Β· πŸ“¦ 18 Β· ⏱️ 05.08.2024): +- [PyPi](https://pypi.org/project/ffn) (πŸ“₯ 16K / month Β· πŸ“¦ 18 Β· ⏱️ 05.08.2024): ``` pip install ffn ``` @@ -3580,14 +3581,14 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te conda install -c conda-forge ffn ```
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IB-insync (πŸ₯‰27 Β· ⭐ 2.8K) - Python sync/async framework for Interactive Brokers API. BSD-2 +
IB-insync (πŸ₯‰27 Β· ⭐ 2.8K Β· πŸ’€) - Python sync/async framework for Interactive Brokers API. BSD-2 - [GitHub](https://github.com/erdewit/ib_insync) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 750 Β· πŸ“‹ 590 - 3% open Β· ⏱️ 14.03.2024): ``` git clone https://github.com/erdewit/ib_insync ``` -- [PyPi](https://pypi.org/project/ib_insync) (πŸ“₯ 46K / month Β· πŸ“¦ 44 Β· ⏱️ 21.11.2022): +- [PyPi](https://pypi.org/project/ib_insync) (πŸ“₯ 50K / month Β· πŸ“¦ 44 Β· ⏱️ 21.11.2022): ``` pip install ib_insync ``` @@ -3596,14 +3597,14 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te conda install -c conda-forge ib-insync ```
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TensorTrade (πŸ₯‰25 Β· ⭐ 4.5K) - An open source reinforcement learning framework for training,.. Apache-2 +
TensorTrade (πŸ₯‰26 Β· ⭐ 4.5K) - An open source reinforcement learning framework for training,.. Apache-2 -- [GitHub](https://github.com/tensortrade-org/tensortrade) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 980 Β· πŸ“¦ 60 Β· πŸ“‹ 250 - 20% open Β· ⏱️ 09.06.2024): +- [GitHub](https://github.com/tensortrade-org/tensortrade) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 980 Β· πŸ“¦ 61 Β· πŸ“‹ 250 - 20% open Β· ⏱️ 09.06.2024): ``` git clone https://github.com/tensortrade-org/tensortrade ``` -- [PyPi](https://pypi.org/project/tensortrade) (πŸ“₯ 800 / month Β· πŸ“¦ 1 Β· ⏱️ 10.05.2021): +- [PyPi](https://pypi.org/project/tensortrade) (πŸ“₯ 1K / month Β· πŸ“¦ 1 Β· ⏱️ 10.05.2021): ``` pip install tensortrade ``` @@ -3619,7 +3620,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/jealous/stockstats ``` -- [PyPi](https://pypi.org/project/stockstats) (πŸ“₯ 8.7K / month Β· πŸ“¦ 11 Β· ⏱️ 30.07.2023): +- [PyPi](https://pypi.org/project/stockstats) (πŸ“₯ 8.8K / month Β· πŸ“¦ 11 Β· ⏱️ 30.07.2023): ``` pip install stockstats ``` @@ -3631,36 +3632,25 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/cuemacro/finmarketpy ``` -- [PyPi](https://pypi.org/project/finmarketpy) (πŸ“₯ 460 / month Β· ⏱️ 19.05.2024): +- [PyPi](https://pypi.org/project/finmarketpy) (πŸ“₯ 480 / month Β· ⏱️ 19.05.2024): ``` pip install finmarketpy ```
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FinQuant (πŸ₯‰22 Β· ⭐ 1.4K Β· πŸ’€) - A program for financial portfolio management, analysis and.. MIT - -- [GitHub](https://github.com/fmilthaler/FinQuant) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 190 Β· πŸ“¦ 93 Β· πŸ“‹ 49 - 32% open Β· ⏱️ 03.09.2023): - - ``` - git clone https://github.com/fmilthaler/FinQuant - ``` -- [PyPi](https://pypi.org/project/FinQuant) (πŸ“₯ 820 / month Β· πŸ“¦ 1 Β· ⏱️ 04.09.2023): - ``` - pip install FinQuant - ``` -
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Show 14 hidden projects... +
Show 15 hidden projects... - zipline (πŸ₯‡32 Β· ⭐ 18K Β· πŸ’€) - Zipline, a Pythonic Algorithmic Trading Library. Apache-2 - pyfolio (πŸ₯ˆ30 Β· ⭐ 5.6K Β· πŸ’€) - Portfolio and risk analytics in Python. Apache-2 - arch (πŸ₯ˆ30 Β· ⭐ 1.3K) - ARCH models in Python. ❗Unlicensed - backtrader (πŸ₯ˆ29 Β· ⭐ 14K Β· πŸ’€) - Python Backtesting library for trading strategies. ❗️GPL-3.0 -- empyrical (πŸ₯‰28 Β· ⭐ 1.3K Β· πŸ’€) - Common financial risk and performance metrics. Used by.. Apache-2 - Alphalens (πŸ₯‰27 Β· ⭐ 3.3K Β· πŸ’€) - Performance analysis of predictive (alpha) stock factors. Apache-2 -- Enigma Catalyst (πŸ₯‰26 Β· ⭐ 2.5K Β· πŸ’€) - An Algorithmic Trading Library for Crypto-Assets in.. Apache-2 +- Enigma Catalyst (πŸ₯‰27 Β· ⭐ 2.5K Β· πŸ’€) - An Algorithmic Trading Library for Crypto-Assets in.. Apache-2 +- empyrical (πŸ₯‰27 Β· ⭐ 1.3K Β· πŸ’€) - Common financial risk and performance metrics. Used by.. Apache-2 - PyAlgoTrade (πŸ₯‰24 Β· ⭐ 4.4K Β· πŸ’€) - Python Algorithmic Trading Library. Apache-2 - FinTA (πŸ₯‰24 Β· ⭐ 2.1K Β· πŸ’€) - Common financial technical indicators implemented in Pandas. ❗️LGPL-3.0 - Backtesting.py (πŸ₯‰23 Β· ⭐ 5.4K Β· πŸ’€) - Backtest trading strategies in Python. ❗️AGPL-3.0 -- Crypto Signals (πŸ₯‰23 Β· ⭐ 4.9K Β· πŸ’€) - Github.com/CryptoSignal - Trading & Technical Analysis Bot -.. MIT +- Crypto Signals (πŸ₯‰22 Β· ⭐ 4.9K Β· πŸ’€) - Github.com/CryptoSignal - Trading & Technical Analysis Bot -.. MIT +- FinQuant (πŸ₯‰22 Β· ⭐ 1.4K Β· πŸ’€) - A program for financial portfolio management, analysis and.. MIT - tf-quant-finance (πŸ₯‰21 Β· ⭐ 4.5K Β· πŸ’€) - High-performance TensorFlow library for quantitative.. Apache-2 - surpriver (πŸ₯‰12 Β· ⭐ 1.8K Β· πŸ’€) - Find big moving stocks before they move using machine.. ❗️GPL-3.0 - pyrtfolio (πŸ₯‰9 Β· ⭐ 150 Β· πŸ’€) - Python package to generate stock portfolios. ❗️GPL-3.0 @@ -3675,12 +3665,12 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
sktime (πŸ₯‡39 Β· ⭐ 7.8K) - A unified framework for machine learning with time series. BSD-3 -- [GitHub](https://github.com/sktime/sktime) (πŸ‘¨β€πŸ’» 390 Β· πŸ”€ 1.3K Β· πŸ“₯ 100 Β· πŸ“¦ 3.3K Β· πŸ“‹ 2.5K - 37% open Β· ⏱️ 26.09.2024): +- [GitHub](https://github.com/sktime/sktime) (πŸ‘¨β€πŸ’» 400 Β· πŸ”€ 1.3K Β· πŸ“₯ 100 Β· πŸ“¦ 3.3K Β· πŸ“‹ 2.5K - 37% open Β· ⏱️ 01.10.2024): ``` git clone https://github.com/alan-turing-institute/sktime ``` -- [PyPi](https://pypi.org/project/sktime) (πŸ“₯ 720K / month Β· πŸ“¦ 120 Β· ⏱️ 26.09.2024): +- [PyPi](https://pypi.org/project/sktime) (πŸ“₯ 730K / month Β· πŸ“¦ 130 Β· ⏱️ 26.09.2024): ``` pip install sktime ``` @@ -3689,46 +3679,46 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l conda install -c conda-forge sktime-all-extras ```
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StatsForecast (πŸ₯‡34 Β· ⭐ 3.9K) - Lightning fast forecasting with statistical and econometric.. Apache-2 +
Prophet (πŸ₯‡35 Β· ⭐ 18K Β· πŸ“ˆ) - Tool for producing high quality forecasts for time series data that.. MIT -- [GitHub](https://github.com/Nixtla/statsforecast) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 270 Β· πŸ“¦ 1.1K Β· πŸ“‹ 340 - 29% open Β· ⏱️ 25.09.2024): +- [GitHub](https://github.com/facebook/prophet) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 4.5K Β· πŸ“₯ 2.8K Β· πŸ“¦ 21 Β· πŸ“‹ 2.2K - 19% open Β· ⏱️ 02.10.2024): ``` - git clone https://github.com/Nixtla/statsforecast + git clone https://github.com/facebook/prophet ``` -- [PyPi](https://pypi.org/project/statsforecast) (πŸ“₯ 750K / month Β· πŸ“¦ 57 Β· ⏱️ 19.09.2024): +- [PyPi](https://pypi.org/project/fbprophet) (πŸ“₯ 280K / month Β· πŸ“¦ 91 Β· ⏱️ 05.09.2020): ``` - pip install statsforecast + pip install fbprophet ``` -- [Conda](https://anaconda.org/conda-forge/statsforecast) (πŸ“₯ 94K Β· ⏱️ 23.09.2024): +- [Conda](https://anaconda.org/conda-forge/prophet) (πŸ“₯ 1.3M Β· ⏱️ 20.10.2023): ``` - conda install -c conda-forge statsforecast + conda install -c conda-forge prophet ```
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Prophet (πŸ₯‡33 Β· ⭐ 18K) - Tool for producing high quality forecasts for time series data that has.. MIT +
StatsForecast (πŸ₯‡34 Β· ⭐ 3.9K) - Lightning fast forecasting with statistical and econometric.. Apache-2 -- [GitHub](https://github.com/facebook/prophet) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 4.5K Β· πŸ“₯ 2.8K Β· πŸ“¦ 21 Β· πŸ“‹ 2.2K - 19% open Β· ⏱️ 23.09.2024): +- [GitHub](https://github.com/Nixtla/statsforecast) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 270 Β· πŸ“¦ 1.1K Β· πŸ“‹ 340 - 29% open Β· ⏱️ 30.09.2024): ``` - git clone https://github.com/facebook/prophet + git clone https://github.com/Nixtla/statsforecast ``` -- [PyPi](https://pypi.org/project/fbprophet) (πŸ“₯ 290K / month Β· πŸ“¦ 91 Β· ⏱️ 05.09.2020): +- [PyPi](https://pypi.org/project/statsforecast) (πŸ“₯ 710K / month Β· πŸ“¦ 57 Β· ⏱️ 19.09.2024): ``` - pip install fbprophet + pip install statsforecast ``` -- [Conda](https://anaconda.org/conda-forge/prophet) (πŸ“₯ 1.3M Β· ⏱️ 20.10.2023): +- [Conda](https://anaconda.org/conda-forge/statsforecast) (πŸ“₯ 96K Β· ⏱️ 23.09.2024): ``` - conda install -c conda-forge prophet + conda install -c conda-forge statsforecast ```
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STUMPY (πŸ₯‡33 Β· ⭐ 3.6K) - STUMPY is a powerful and scalable Python library for modern time series.. BSD-3 +
STUMPY (πŸ₯ˆ33 Β· ⭐ 3.6K) - STUMPY is a powerful and scalable Python library for modern time series.. BSD-3 -- [GitHub](https://github.com/TDAmeritrade/stumpy) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 320 Β· πŸ“¦ 880 Β· πŸ“‹ 510 - 12% open Β· ⏱️ 16.09.2024): +- [GitHub](https://github.com/TDAmeritrade/stumpy) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 320 Β· πŸ“¦ 890 Β· πŸ“‹ 510 - 12% open Β· ⏱️ 16.09.2024): ``` git clone https://github.com/TDAmeritrade/stumpy ``` -- [PyPi](https://pypi.org/project/stumpy) (πŸ“₯ 290K / month Β· πŸ“¦ 30 Β· ⏱️ 09.07.2024): +- [PyPi](https://pypi.org/project/stumpy) (πŸ“₯ 270K / month Β· πŸ“¦ 30 Β· ⏱️ 09.07.2024): ``` pip install stumpy ``` @@ -3755,7 +3745,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
pytorch-forecasting (πŸ₯ˆ32 Β· ⭐ 3.9K) - Time series forecasting with PyTorch. MIT -- [GitHub](https://github.com/sktime/pytorch-forecasting) (πŸ‘¨β€πŸ’» 52 Β· πŸ”€ 610 Β· πŸ“¦ 440 Β· πŸ“‹ 780 - 60% open Β· ⏱️ 21.09.2024): +- [GitHub](https://github.com/sktime/pytorch-forecasting) (πŸ‘¨β€πŸ’» 52 Β· πŸ”€ 610 Β· πŸ“¦ 440 Β· πŸ“‹ 780 - 61% open Β· ⏱️ 30.09.2024): ``` git clone https://github.com/jdb78/pytorch-forecasting @@ -3769,14 +3759,14 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l conda install -c conda-forge pytorch-forecasting ```
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Darts (πŸ₯ˆ31 Β· ⭐ 7.9K) - A python library for user-friendly forecasting and anomaly detection.. Apache-2 +
Darts (πŸ₯ˆ31 Β· ⭐ 8K) - A python library for user-friendly forecasting and anomaly detection on.. Apache-2 -- [GitHub](https://github.com/unit8co/darts) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 860 Β· πŸ“‹ 1.6K - 16% open Β· ⏱️ 25.09.2024): +- [GitHub](https://github.com/unit8co/darts) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 860 Β· πŸ“‹ 1.6K - 16% open Β· ⏱️ 28.09.2024): ``` git clone https://github.com/unit8co/darts ``` -- [PyPi](https://pypi.org/project/u8darts) (πŸ“₯ 72K / month Β· πŸ“¦ 10 Β· ⏱️ 19.06.2024): +- [PyPi](https://pypi.org/project/u8darts) (πŸ“₯ 73K / month Β· πŸ“¦ 10 Β· ⏱️ 19.06.2024): ``` pip install u8darts ``` @@ -3784,23 +3774,23 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` conda install -c conda-forge u8darts-all ``` -- [Docker Hub](https://hub.docker.com/r/unit8/darts) (πŸ“₯ 650 Β· ⏱️ 17.04.2024): +- [Docker Hub](https://hub.docker.com/r/unit8/darts) (πŸ“₯ 690 Β· ⏱️ 17.04.2024): ``` docker pull unit8/darts ```
NeuralForecast (πŸ₯ˆ31 Β· ⭐ 3K) - Scalable and user friendly neural forecasting algorithms. Apache-2 -- [GitHub](https://github.com/Nixtla/neuralforecast) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 340 Β· πŸ“¦ 210 Β· πŸ“‹ 540 - 20% open Β· ⏱️ 23.09.2024): +- [GitHub](https://github.com/Nixtla/neuralforecast) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 340 Β· πŸ“¦ 210 Β· πŸ“‹ 540 - 20% open Β· ⏱️ 01.10.2024): ``` git clone https://github.com/Nixtla/neuralforecast ``` -- [PyPi](https://pypi.org/project/neuralforecast) (πŸ“₯ 39K / month Β· πŸ“¦ 17 Β· ⏱️ 20.09.2024): +- [PyPi](https://pypi.org/project/neuralforecast) (πŸ“₯ 42K / month Β· πŸ“¦ 17 Β· ⏱️ 20.09.2024): ``` pip install neuralforecast ``` -- [Conda](https://anaconda.org/conda-forge/neuralforecast) (πŸ“₯ 22K Β· ⏱️ 20.09.2024): +- [Conda](https://anaconda.org/conda-forge/neuralforecast) (πŸ“₯ 23K Β· ⏱️ 20.09.2024): ``` conda install -c conda-forge neuralforecast ``` @@ -3812,7 +3802,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/tslearn-team/tslearn ``` -- [PyPi](https://pypi.org/project/tslearn) (πŸ“₯ 470K / month Β· πŸ“¦ 79 Β· ⏱️ 12.12.2023): +- [PyPi](https://pypi.org/project/tslearn) (πŸ“₯ 450K / month Β· πŸ“¦ 79 Β· ⏱️ 12.12.2023): ``` pip install tslearn ``` @@ -3821,14 +3811,14 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l conda install -c conda-forge tslearn ```
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pmdarima (πŸ₯ˆ31 Β· ⭐ 1.6K Β· πŸ“‰) - A statistical library designed to fill the void in Pythons time.. MIT +
pmdarima (πŸ₯ˆ31 Β· ⭐ 1.6K) - A statistical library designed to fill the void in Pythons time series.. MIT -- [GitHub](https://github.com/alkaline-ml/pmdarima) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 230 Β· πŸ“¦ 9.3K Β· πŸ“‹ 340 - 18% open Β· ⏱️ 24.09.2024): +- [GitHub](https://github.com/alkaline-ml/pmdarima) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 230 Β· πŸ“¦ 9.4K Β· πŸ“‹ 340 - 18% open Β· ⏱️ 24.09.2024): ``` git clone https://github.com/alkaline-ml/pmdarima ``` -- [PyPi](https://pypi.org/project/pmdarima) (πŸ“₯ 2.4M / month Β· πŸ“¦ 150 Β· ⏱️ 23.10.2023): +- [PyPi](https://pypi.org/project/pmdarima) (πŸ“₯ 2.5M / month Β· πŸ“¦ 150 Β· ⏱️ 23.10.2023): ``` pip install pmdarima ``` @@ -3837,47 +3827,59 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l conda install -c conda-forge pmdarima ```
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skforecast (πŸ₯ˆ30 Β· ⭐ 1.1K) - Time series forecasting with machine learning models. BSD-3 +
GluonTS (πŸ₯ˆ29 Β· ⭐ 4.6K) - Probabilistic time series modeling in Python. Apache-2 -- [GitHub](https://github.com/JoaquinAmatRodrigo/skforecast) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 120 Β· πŸ“¦ 330 Β· πŸ“‹ 170 - 11% open Β· ⏱️ 13.08.2024): +- [GitHub](https://github.com/awslabs/gluonts) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 740 Β· πŸ“‹ 960 - 33% open Β· ⏱️ 25.07.2024): ``` - git clone https://github.com/JoaquinAmatRodrigo/skforecast + git clone https://github.com/awslabs/gluon-ts ``` -- [PyPi](https://pypi.org/project/skforecast) (πŸ“₯ 76K / month Β· πŸ“¦ 15 Β· ⏱️ 01.08.2024): +- [PyPi](https://pypi.org/project/gluonts) (πŸ“₯ 570K / month Β· πŸ“¦ 31 Β· ⏱️ 03.06.2024): ``` - pip install skforecast + pip install gluonts + ``` +- [Conda](https://anaconda.org/anaconda/gluonts) (πŸ“₯ 960 Β· ⏱️ 22.12.2023): + ``` + conda install -c anaconda gluonts ```
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GluonTS (πŸ₯ˆ29 Β· ⭐ 4.6K) - Probabilistic time series modeling in Python. Apache-2 +
NeuralProphet (πŸ₯ˆ29 Β· ⭐ 3.8K) - NeuralProphet: A simple forecasting package. MIT -- [GitHub](https://github.com/awslabs/gluonts) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 740 Β· πŸ“‹ 960 - 33% open Β· ⏱️ 25.07.2024): +- [GitHub](https://github.com/ourownstory/neural_prophet) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 470 Β· πŸ“‹ 550 - 10% open Β· ⏱️ 13.09.2024): ``` - git clone https://github.com/awslabs/gluon-ts + git clone https://github.com/ourownstory/neural_prophet + ``` +- [PyPi](https://pypi.org/project/neuralprophet) (πŸ“₯ 140K / month Β· πŸ“¦ 8 Β· ⏱️ 26.06.2024): ``` -- [PyPi](https://pypi.org/project/gluonts) (πŸ“₯ 510K / month Β· πŸ“¦ 31 Β· ⏱️ 03.06.2024): + pip install neuralprophet + ``` +
+
skforecast (πŸ₯ˆ29 Β· ⭐ 1.1K) - Time series forecasting with machine learning models. BSD-3 + +- [GitHub](https://github.com/JoaquinAmatRodrigo/skforecast) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 120 Β· πŸ“¦ 330 Β· πŸ“‹ 170 - 11% open Β· ⏱️ 13.08.2024): + ``` - pip install gluonts + git clone https://github.com/JoaquinAmatRodrigo/skforecast ``` -- [Conda](https://anaconda.org/anaconda/gluonts) (πŸ“₯ 950 Β· ⏱️ 22.12.2023): +- [PyPi](https://pypi.org/project/skforecast) (πŸ“₯ 76K / month Β· πŸ“¦ 15 Β· ⏱️ 01.08.2024): ``` - conda install -c anaconda gluonts + pip install skforecast ```
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NeuralProphet (πŸ₯ˆ29 Β· ⭐ 3.8K) - NeuralProphet: A simple forecasting package. MIT +
TSFEL (πŸ₯‰24 Β· ⭐ 920) - An intuitive library to extract features from time series. BSD-3 -- [GitHub](https://github.com/ourownstory/neural_prophet) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 470 Β· πŸ“‹ 550 - 10% open Β· ⏱️ 13.09.2024): +- [GitHub](https://github.com/fraunhoferportugal/tsfel) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 140 Β· πŸ“¦ 150 Β· πŸ“‹ 76 - 6% open Β· ⏱️ 12.09.2024): ``` - git clone https://github.com/ourownstory/neural_prophet + git clone https://github.com/fraunhoferportugal/tsfel ``` -- [PyPi](https://pypi.org/project/neuralprophet) (πŸ“₯ 160K / month Β· πŸ“¦ 8 Β· ⏱️ 26.06.2024): +- [PyPi](https://pypi.org/project/tsfel) (πŸ“₯ 24K / month Β· πŸ“¦ 7 Β· ⏱️ 12.09.2024): ``` - pip install neuralprophet + pip install tsfel ```
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uber/orbit (πŸ₯‰25 Β· ⭐ 1.9K) - A Python package for Bayesian forecasting with object-oriented.. Apache-2 +
uber/orbit (πŸ₯‰23 Β· ⭐ 1.9K Β· πŸ“‰) - A Python package for Bayesian forecasting with object-.. Apache-2 - [GitHub](https://github.com/uber/orbit) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 140 Β· πŸ“¦ 61 Β· πŸ“‹ 400 - 12% open Β· ⏱️ 10.07.2024): @@ -3893,18 +3895,6 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l conda install -c conda-forge orbit-ml ```
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TSFEL (πŸ₯‰25 Β· ⭐ 910) - An intuitive library to extract features from time series. BSD-3 - -- [GitHub](https://github.com/fraunhoferportugal/tsfel) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 140 Β· πŸ“¦ 150 Β· πŸ“‹ 76 - 6% open Β· ⏱️ 12.09.2024): - - ``` - git clone https://github.com/fraunhoferportugal/tsfel - ``` -- [PyPi](https://pypi.org/project/tsfel) (πŸ“₯ 27K / month Β· πŸ“¦ 7 Β· ⏱️ 12.09.2024): - ``` - pip install tsfel - ``` -
pydlm (πŸ₯‰22 Β· ⭐ 480) - A python library for Bayesian time series modeling. BSD-3 - [GitHub](https://github.com/wwrechard/pydlm) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 98 Β· πŸ“¦ 36 Β· πŸ“‹ 56 - 73% open Β· ⏱️ 07.09.2024): @@ -3912,7 +3902,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/wwrechard/pydlm ``` -- [PyPi](https://pypi.org/project/pydlm) (πŸ“₯ 24K / month Β· πŸ“¦ 2 Β· ⏱️ 13.08.2024): +- [PyPi](https://pypi.org/project/pydlm) (πŸ“₯ 26K / month Β· πŸ“¦ 2 Β· ⏱️ 13.08.2024): ``` pip install pydlm ``` @@ -3924,7 +3914,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/predict-idlab/tsflex ``` -- [PyPi](https://pypi.org/project/tsflex) (πŸ“₯ 920 / month Β· πŸ“¦ 2 Β· ⏱️ 06.09.2024): +- [PyPi](https://pypi.org/project/tsflex) (πŸ“₯ 1.1K / month Β· πŸ“¦ 2 Β· ⏱️ 06.09.2024): ``` pip install tsflex ``` @@ -3935,38 +3925,38 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
greykite (πŸ₯‰20 Β· ⭐ 1.8K Β· πŸ’€) - A flexible, intuitive and fast forecasting library. BSD-2 -- [GitHub](https://github.com/linkedin/greykite) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 100 Β· πŸ“₯ 34 Β· πŸ“¦ 33 Β· πŸ“‹ 110 - 27% open Β· ⏱️ 16.01.2024): +- [GitHub](https://github.com/linkedin/greykite) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 100 Β· πŸ“₯ 35 Β· πŸ“¦ 33 Β· πŸ“‹ 110 - 27% open Β· ⏱️ 16.01.2024): ``` git clone https://github.com/linkedin/greykite ``` -- [PyPi](https://pypi.org/project/greykite) (πŸ“₯ 6K / month Β· ⏱️ 12.01.2024): +- [PyPi](https://pypi.org/project/greykite) (πŸ“₯ 6.1K / month Β· ⏱️ 12.01.2024): ``` pip install greykite ```
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Auto TS (πŸ₯‰20 Β· ⭐ 720) - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost.. Apache-2 +
Auto TS (πŸ₯‰20 Β· ⭐ 730) - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost.. Apache-2 - [GitHub](https://github.com/AutoViML/Auto_TS) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 110 Β· πŸ“‹ 88 - 1% open Β· ⏱️ 05.05.2024): ``` git clone https://github.com/AutoViML/Auto_TS ``` -- [PyPi](https://pypi.org/project/auto-ts) (πŸ“₯ 8.8K / month Β· ⏱️ 05.05.2024): +- [PyPi](https://pypi.org/project/auto-ts) (πŸ“₯ 9.1K / month Β· ⏱️ 05.05.2024): ``` pip install auto-ts ```
Show 11 hidden projects... +- Streamz (πŸ₯‰27 Β· ⭐ 1.2K Β· πŸ’€) - Real-time stream processing for python. BSD-3 - pyts (πŸ₯‰26 Β· ⭐ 1.8K Β· πŸ’€) - A Python package for time series classification. BSD-3 -- Streamz (πŸ₯‰26 Β· ⭐ 1.2K Β· πŸ’€) - Real-time stream processing for python. BSD-3 - PyFlux (πŸ₯‰25 Β· ⭐ 2.1K Β· πŸ’€) - Open source time series library for Python. BSD-3 -- luminol (πŸ₯‰22 Β· ⭐ 1.2K Β· πŸ’€) - Anomaly Detection and Correlation library. Apache-2 - tick (πŸ₯‰22 Β· ⭐ 490 Β· πŸ’€) - Module for statistical learning, with a particular emphasis on time-.. BSD-3 +- luminol (πŸ₯‰21 Β· ⭐ 1.2K Β· πŸ’€) - Anomaly Detection and Correlation library. Apache-2 - ADTK (πŸ₯‰21 Β· ⭐ 1.1K Β· πŸ’€) - A Python toolkit for rule-based/unsupervised anomaly detection in.. MPL-2.0 - seglearn (πŸ₯‰21 Β· ⭐ 570 Β· πŸ’€) - Python module for machine learning time series:. BSD-3 -- matrixprofile-ts (πŸ₯‰20 Β· ⭐ 730 Β· πŸ’€) - A Python library for detecting patterns and anomalies.. Apache-2 +- matrixprofile-ts (πŸ₯‰19 Β· ⭐ 730 Β· πŸ’€) - A Python library for detecting patterns and anomalies.. Apache-2 - atspy (πŸ₯‰15 Β· ⭐ 510 Β· πŸ’€) - AtsPy: Automated Time Series Models in Python (by @firmai). MIT - tsaug (πŸ₯‰14 Β· ⭐ 350 Β· πŸ’€) - A Python package for time series augmentation. Apache-2 - tslumen (πŸ₯‰8 Β· ⭐ 66 Β· πŸ’€) - A library for Time Series EDA (exploratory data analysis). Apache-2 @@ -3981,60 +3971,60 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
MNE (πŸ₯‡39 Β· ⭐ 2.7K) - MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python. BSD-3 -- [GitHub](https://github.com/mne-tools/mne-python) (πŸ‘¨β€πŸ’» 380 Β· πŸ”€ 1.3K Β· πŸ“¦ 4.4K Β· πŸ“‹ 4.9K - 10% open Β· ⏱️ 25.09.2024): +- [GitHub](https://github.com/mne-tools/mne-python) (πŸ‘¨β€πŸ’» 380 Β· πŸ”€ 1.3K Β· πŸ“¦ 4.4K Β· πŸ“‹ 4.9K - 10% open Β· ⏱️ 02.10.2024): ``` git clone https://github.com/mne-tools/mne-python ``` -- [PyPi](https://pypi.org/project/mne) (πŸ“₯ 150K / month Β· πŸ“¦ 380 Β· ⏱️ 19.08.2024): +- [PyPi](https://pypi.org/project/mne) (πŸ“₯ 160K / month Β· πŸ“¦ 390 Β· ⏱️ 19.08.2024): ``` pip install mne ``` -- [Conda](https://anaconda.org/conda-forge/mne) (πŸ“₯ 420K Β· ⏱️ 19.08.2024): +- [Conda](https://anaconda.org/conda-forge/mne) (πŸ“₯ 430K Β· ⏱️ 19.08.2024): ``` conda install -c conda-forge mne ```
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Nilearn (πŸ₯‡37 Β· ⭐ 1.2K) - Machine learning for NeuroImaging in Python. BSD-3 +
MONAI (πŸ₯‡36 Β· ⭐ 5.7K) - AI Toolkit for Healthcare Imaging. Apache-2 -- [GitHub](https://github.com/nilearn/nilearn) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 580 Β· πŸ“₯ 230 Β· πŸ“¦ 3.4K Β· πŸ“‹ 2.1K - 13% open Β· ⏱️ 26.09.2024): +- [GitHub](https://github.com/Project-MONAI/MONAI) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 1K Β· πŸ“¦ 2.9K Β· πŸ“‹ 3.1K - 11% open Β· ⏱️ 30.09.2024): ``` - git clone https://github.com/nilearn/nilearn + git clone https://github.com/Project-MONAI/MONAI ``` -- [PyPi](https://pypi.org/project/nilearn) (πŸ“₯ 55K / month Β· πŸ“¦ 290 Β· ⏱️ 09.04.2024): +- [PyPi](https://pypi.org/project/monai) (πŸ“₯ 160K / month Β· πŸ“¦ 120 Β· ⏱️ 30.09.2024): ``` - pip install nilearn + pip install monai ``` -- [Conda](https://anaconda.org/conda-forge/nilearn) (πŸ“₯ 290K Β· ⏱️ 09.04.2024): +- [Conda](https://anaconda.org/conda-forge/monai) (πŸ“₯ 30K Β· ⏱️ 26.06.2024): ``` - conda install -c conda-forge nilearn + conda install -c conda-forge monai ```
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MONAI (πŸ₯ˆ36 Β· ⭐ 5.7K) - AI Toolkit for Healthcare Imaging. Apache-2 +
Nilearn (πŸ₯‡36 Β· ⭐ 1.2K) - Machine learning for NeuroImaging in Python. BSD-3 -- [GitHub](https://github.com/Project-MONAI/MONAI) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 1K Β· πŸ“¦ 2.8K Β· πŸ“‹ 3.1K - 11% open Β· ⏱️ 26.09.2024): +- [GitHub](https://github.com/nilearn/nilearn) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 580 Β· πŸ“₯ 240 Β· πŸ“¦ 3.5K Β· πŸ“‹ 2.1K - 13% open Β· ⏱️ 03.10.2024): ``` - git clone https://github.com/Project-MONAI/MONAI + git clone https://github.com/nilearn/nilearn ``` -- [PyPi](https://pypi.org/project/monai) (πŸ“₯ 170K / month Β· πŸ“¦ 120 Β· ⏱️ 23.09.2024): +- [PyPi](https://pypi.org/project/nilearn) (πŸ“₯ 60K / month Β· πŸ“¦ 290 Β· ⏱️ 09.04.2024): ``` - pip install monai + pip install nilearn ``` -- [Conda](https://anaconda.org/conda-forge/monai) (πŸ“₯ 30K Β· ⏱️ 26.06.2024): +- [Conda](https://anaconda.org/conda-forge/nilearn) (πŸ“₯ 290K Β· ⏱️ 09.04.2024): ``` - conda install -c conda-forge monai + conda install -c conda-forge nilearn ```
NiBabel (πŸ₯ˆ35 Β· ⭐ 650) - Python package to access a cacophony of neuro-imaging file formats. MIT -- [GitHub](https://github.com/nipy/nibabel) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 260 Β· πŸ“¦ 22K Β· πŸ“‹ 540 - 24% open Β· ⏱️ 25.09.2024): +- [GitHub](https://github.com/nipy/nibabel) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 260 Β· πŸ“¦ 22K Β· πŸ“‹ 540 - 24% open Β· ⏱️ 02.10.2024): ``` git clone https://github.com/nipy/nibabel ``` -- [PyPi](https://pypi.org/project/nibabel) (πŸ“₯ 1M / month Β· πŸ“¦ 1.2K Β· ⏱️ 27.02.2024): +- [PyPi](https://pypi.org/project/nibabel) (πŸ“₯ 1.4M / month Β· πŸ“¦ 1.2K Β· ⏱️ 27.02.2024): ``` pip install nibabel ``` @@ -4043,9 +4033,9 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic conda install -c conda-forge nibabel ```
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NIPYPE (πŸ₯ˆ33 Β· ⭐ 740) - Workflows and interfaces for neuroimaging packages. Apache-2 +
NIPYPE (πŸ₯ˆ33 Β· ⭐ 750) - Workflows and interfaces for neuroimaging packages. Apache-2 -- [GitHub](https://github.com/nipy/nipype) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 510 Β· πŸ“¦ 4.9K Β· πŸ“‹ 1.4K - 29% open Β· ⏱️ 30.05.2024): +- [GitHub](https://github.com/nipy/nipype) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 510 Β· πŸ“¦ 5K Β· πŸ“‹ 1.4K - 29% open Β· ⏱️ 30.05.2024): ``` git clone https://github.com/nipy/nipype @@ -4054,19 +4044,19 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic ``` pip install nipype ``` -- [Conda](https://anaconda.org/conda-forge/nipype) (πŸ“₯ 680K Β· ⏱️ 22.09.2023): +- [Conda](https://anaconda.org/conda-forge/nipype) (πŸ“₯ 690K Β· ⏱️ 22.09.2023): ``` conda install -c conda-forge nipype ```
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Lifelines (πŸ₯ˆ32 Β· ⭐ 2.3K Β· πŸ“‰) - Survival analysis in Python. MIT +
Lifelines (πŸ₯ˆ32 Β· ⭐ 2.3K) - Survival analysis in Python. MIT - [GitHub](https://github.com/CamDavidsonPilon/lifelines) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 550 Β· πŸ“¦ 2.9K Β· πŸ“‹ 970 - 26% open Β· ⏱️ 05.09.2024): ``` git clone https://github.com/CamDavidsonPilon/lifelines ``` -- [PyPi](https://pypi.org/project/lifelines) (πŸ“₯ 790K / month Β· πŸ“¦ 150 Β· ⏱️ 26.06.2024): +- [PyPi](https://pypi.org/project/lifelines) (πŸ“₯ 800K / month Β· πŸ“¦ 150 Β· ⏱️ 26.06.2024): ``` pip install lifelines ``` @@ -4075,19 +4065,19 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic conda install -c conda-forge lifelines ```
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Hail (πŸ₯ˆ32 Β· ⭐ 970) - Cloud-native genomic dataframes and batch computing. MIT +
Hail (πŸ₯ˆ31 Β· ⭐ 980) - Cloud-native genomic dataframes and batch computing. MIT -- [GitHub](https://github.com/hail-is/hail) (πŸ‘¨β€πŸ’» 95 Β· πŸ”€ 240 Β· πŸ“¦ 140 Β· πŸ“‹ 2.4K - 9% open Β· ⏱️ 25.09.2024): +- [GitHub](https://github.com/hail-is/hail) (πŸ‘¨β€πŸ’» 95 Β· πŸ”€ 240 Β· πŸ“¦ 140 Β· πŸ“‹ 2.5K - 9% open Β· ⏱️ 02.10.2024): ``` git clone https://github.com/hail-is/hail ``` -- [PyPi](https://pypi.org/project/hail) (πŸ“₯ 63K / month Β· πŸ“¦ 34 Β· ⏱️ 08.08.2024): +- [PyPi](https://pypi.org/project/hail) (πŸ“₯ 52K / month Β· πŸ“¦ 34 Β· ⏱️ 08.08.2024): ``` pip install hail ```
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DeepVariant (πŸ₯‰24 Β· ⭐ 3.2K) - DeepVariant is an analysis pipeline that uses a deep neural.. BSD-3 +
DeepVariant (πŸ₯‰24 Β· ⭐ 3.2K Β· πŸ’€) - DeepVariant is an analysis pipeline that uses a deep.. BSD-3 - [GitHub](https://github.com/google/deepvariant) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 710 Β· πŸ“₯ 4.8K Β· πŸ“‹ 830 - 0% open Β· ⏱️ 18.03.2024): @@ -4106,7 +4096,7 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic ``` git clone https://github.com/brainiak/brainiak ``` -- [PyPi](https://pypi.org/project/brainiak) (πŸ“₯ 330 / month Β· ⏱️ 15.10.2020): +- [PyPi](https://pypi.org/project/brainiak) (πŸ“₯ 400 / month Β· ⏱️ 15.10.2020): ``` pip install brainiak ``` @@ -4120,10 +4110,10 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic - DIPY (πŸ₯ˆ32 Β· ⭐ 700) - DIPY is the paragon 3D/4D+ imaging library in Python. Contains.. ❗Unlicensed - NiftyNet (πŸ₯‰25 Β· ⭐ 1.4K Β· πŸ’€) - [unmaintained] An open-source convolutional neural.. Apache-2 - MedPy (πŸ₯‰25 Β· ⭐ 570) - Medical image processing in Python. ❗️GPL-3.0 -- NIPY (πŸ₯‰25 Β· ⭐ 380) - Neuroimaging in Python FMRI analysis package. ❗Unlicensed +- NIPY (πŸ₯‰24 Β· ⭐ 380) - Neuroimaging in Python FMRI analysis package. ❗Unlicensed - DLTK (πŸ₯‰21 Β· ⭐ 1.4K Β· πŸ’€) - Deep Learning Toolkit for Medical Image Analysis. Apache-2 -- Glow (πŸ₯‰21 Β· ⭐ 260) - An open-source toolkit for large-scale genomic analysis. Apache-2 -- MedicalTorch (πŸ₯‰15 Β· ⭐ 840 Β· πŸ’€) - A medical imaging framework for Pytorch. Apache-2 +- Glow (πŸ₯‰21 Β· ⭐ 270) - An open-source toolkit for large-scale genomic analysis. Apache-2 +- MedicalTorch (πŸ₯‰16 Β· ⭐ 840 Β· πŸ’€) - A medical imaging framework for Pytorch. Apache-2 - Medical Detection Toolkit (πŸ₯‰14 Β· ⭐ 1.3K Β· πŸ’€) - The Medical Detection Toolkit contains 2D + 3D.. Apache-2 - DeepNeuro (πŸ₯‰13 Β· ⭐ 120 Β· πŸ’€) - A deep learning python package for neuroimaging data. Made by:. MIT - MedicalNet (πŸ₯‰12 Β· ⭐ 1.9K Β· πŸ’€) - Many studies have shown that the performance on deep learning is.. MIT @@ -4143,7 +4133,7 @@ _Libraries for processing tabular and structured data._ ``` git clone https://github.com/AnotherSamWilson/miceforest ``` -- [PyPi](https://pypi.org/project/miceforest) (πŸ“₯ 65K / month Β· πŸ“¦ 9 Β· ⏱️ 02.08.2024): +- [PyPi](https://pypi.org/project/miceforest) (πŸ“₯ 62K / month Β· πŸ“¦ 9 Β· ⏱️ 02.08.2024): ``` pip install miceforest ``` @@ -4154,36 +4144,36 @@ _Libraries for processing tabular and structured data._
pytorch_tabular (πŸ₯ˆ23 Β· ⭐ 1.3K) - A standard framework for modelling Deep Learning Models.. MIT -- [GitHub](https://github.com/manujosephv/pytorch_tabular) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 130 Β· πŸ“₯ 42 Β· πŸ“‹ 160 - 13% open Β· ⏱️ 17.09.2024): +- [GitHub](https://github.com/manujosephv/pytorch_tabular) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 130 Β· πŸ“₯ 43 Β· πŸ“‹ 160 - 13% open Β· ⏱️ 17.09.2024): ``` git clone https://github.com/manujosephv/pytorch_tabular ``` -- [PyPi](https://pypi.org/project/pytorch_tabular) (πŸ“₯ 3.5K / month Β· πŸ“¦ 3 Β· ⏱️ 15.01.2024): +- [PyPi](https://pypi.org/project/pytorch_tabular) (πŸ“₯ 3.6K / month Β· πŸ“¦ 3 Β· ⏱️ 15.01.2024): ``` pip install pytorch_tabular ```
upgini (πŸ₯‰21 Β· ⭐ 310) - Data search & enrichment library for Machine Learning Easily find and add.. BSD-3 -- [GitHub](https://github.com/upgini/upgini) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 25 Β· πŸ“¦ 8 Β· ⏱️ 26.09.2024): +- [GitHub](https://github.com/upgini/upgini) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 25 Β· πŸ“¦ 8 Β· ⏱️ 27.09.2024): ``` git clone https://github.com/upgini/upgini ``` -- [PyPi](https://pypi.org/project/upgini) (πŸ“₯ 15K / month Β· ⏱️ 23.09.2024): +- [PyPi](https://pypi.org/project/upgini) (πŸ“₯ 19K / month Β· ⏱️ 03.10.2024): ``` pip install upgini ```
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carefree-learn (πŸ₯‰18 Β· ⭐ 400) - Deep Learning PyTorch. MIT +
carefree-learn (πŸ₯‰18 Β· ⭐ 400 Β· πŸ’€) - Deep Learning PyTorch. MIT - [GitHub](https://github.com/carefree0910/carefree-learn) (πŸ‘¨β€πŸ’» 1 Β· πŸ”€ 38 Β· πŸ“¦ 7 Β· πŸ“‹ 82 - 2% open Β· ⏱️ 18.03.2024): ``` git clone https://github.com/carefree0910/carefree-learn ``` -- [PyPi](https://pypi.org/project/carefree-learn) (πŸ“₯ 1.6K / month Β· ⏱️ 09.01.2024): +- [PyPi](https://pypi.org/project/carefree-learn) (πŸ“₯ 1.9K / month Β· ⏱️ 09.01.2024): ``` pip install carefree-learn ``` @@ -4202,24 +4192,24 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
PaddleOCR (πŸ₯‡41 Β· ⭐ 43K) - Awesome multilingual OCR toolkits based on PaddlePaddle.. Apache-2 -- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 7.7K Β· πŸ“₯ 360K Β· πŸ“¦ 3.3K Β· πŸ“‹ 9.3K - 1% open Β· ⏱️ 24.09.2024): +- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 7.7K Β· πŸ“₯ 390K Β· πŸ“¦ 3.4K Β· πŸ“‹ 9.3K - 1% open Β· ⏱️ 02.10.2024): ``` git clone https://github.com/PaddlePaddle/PaddleOCR ``` -- [PyPi](https://pypi.org/project/paddleocr) (πŸ“₯ 580K / month Β· πŸ“¦ 100 Β· ⏱️ 17.07.2024): +- [PyPi](https://pypi.org/project/paddleocr) (πŸ“₯ 520K / month Β· πŸ“¦ 100 Β· ⏱️ 17.07.2024): ``` pip install paddleocr ```
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EasyOCR (πŸ₯‡36 Β· ⭐ 24K Β· πŸ“ˆ) - Ready-to-use OCR with 80+ supported languages and all popular.. Apache-2 +
EasyOCR (πŸ₯‡36 Β· ⭐ 24K) - Ready-to-use OCR with 80+ supported languages and all popular writing.. Apache-2 -- [GitHub](https://github.com/JaidedAI/EasyOCR) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 3.1K Β· πŸ“₯ 15M Β· πŸ“¦ 8.3K Β· πŸ“‹ 1K - 41% open Β· ⏱️ 24.09.2024): +- [GitHub](https://github.com/JaidedAI/EasyOCR) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 3.1K Β· πŸ“₯ 15M Β· πŸ“¦ 8.6K Β· πŸ“‹ 1K - 41% open Β· ⏱️ 24.09.2024): ``` git clone https://github.com/JaidedAI/EasyOCR ``` -- [PyPi](https://pypi.org/project/easyocr) (πŸ“₯ 470K / month Β· πŸ“¦ 210 Β· ⏱️ 24.09.2024): +- [PyPi](https://pypi.org/project/easyocr) (πŸ“₯ 460K / month Β· πŸ“¦ 210 Β· ⏱️ 24.09.2024): ``` pip install easyocr ``` @@ -4240,30 +4230,30 @@ _Libraries for optical character recognition (OCR) and text extraction from imag conda install -c conda-forge ocrmypdf ```
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Tesseract (πŸ₯ˆ31 Β· ⭐ 5.8K Β· πŸ“‰) - Python-tesseract is an optical character recognition (OCR).. Apache-2 +
Tesseract (πŸ₯ˆ31 Β· ⭐ 5.8K) - Python-tesseract is an optical character recognition (OCR) tool.. Apache-2 - [GitHub](https://github.com/madmaze/pytesseract) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 710 Β· πŸ“‹ 370 - 4% open Β· ⏱️ 22.09.2024): ``` git clone https://github.com/madmaze/pytesseract ``` -- [PyPi](https://pypi.org/project/pytesseract) (πŸ“₯ 2.8M / month Β· πŸ“¦ 960 Β· ⏱️ 16.08.2024): +- [PyPi](https://pypi.org/project/pytesseract) (πŸ“₯ 2.6M / month Β· πŸ“¦ 970 Β· ⏱️ 16.08.2024): ``` pip install pytesseract ``` -- [Conda](https://anaconda.org/conda-forge/pytesseract) (πŸ“₯ 620K Β· ⏱️ 15.10.2023): +- [Conda](https://anaconda.org/conda-forge/pytesseract) (πŸ“₯ 630K Β· ⏱️ 15.10.2023): ``` conda install -c conda-forge pytesseract ```
tesserocr (πŸ₯ˆ30 Β· ⭐ 2K) - A Python wrapper for the tesseract-ocr API. MIT -- [GitHub](https://github.com/sirfz/tesserocr) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 250 Β· πŸ“₯ 560 Β· πŸ“¦ 1.1K Β· πŸ“‹ 280 - 17% open Β· ⏱️ 26.08.2024): +- [GitHub](https://github.com/sirfz/tesserocr) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 250 Β· πŸ“₯ 570 Β· πŸ“¦ 1.1K Β· πŸ“‹ 280 - 17% open Β· ⏱️ 26.08.2024): ``` git clone https://github.com/sirfz/tesserocr ``` -- [PyPi](https://pypi.org/project/tesserocr) (πŸ“₯ 96K / month Β· πŸ“¦ 36 Β· ⏱️ 26.08.2024): +- [PyPi](https://pypi.org/project/tesserocr) (πŸ“₯ 98K / month Β· πŸ“¦ 36 Β· ⏱️ 26.08.2024): ``` pip install tesserocr ``` @@ -4272,14 +4262,14 @@ _Libraries for optical character recognition (OCR) and text extraction from imag conda install -c conda-forge tesserocr ```
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MMOCR (πŸ₯‰28 Β· ⭐ 4.3K) - OpenMMLab Text Detection, Recognition and Understanding Toolbox. Apache-2 +
MMOCR (πŸ₯‰27 Β· ⭐ 4.3K) - OpenMMLab Text Detection, Recognition and Understanding Toolbox. Apache-2 - [GitHub](https://github.com/open-mmlab/mmocr) (πŸ‘¨β€πŸ’» 90 Β· πŸ”€ 740 Β· πŸ“¦ 160 Β· πŸ“‹ 930 - 20% open Β· ⏱️ 23.04.2024): ``` git clone https://github.com/open-mmlab/mmocr ``` -- [PyPi](https://pypi.org/project/mmocr) (πŸ“₯ 12K / month Β· πŸ“¦ 4 Β· ⏱️ 05.05.2022): +- [PyPi](https://pypi.org/project/mmocr) (πŸ“₯ 9.6K / month Β· πŸ“¦ 4 Β· ⏱️ 05.05.2022): ``` pip install mmocr ``` @@ -4291,7 +4281,7 @@ _Libraries for optical character recognition (OCR) and text extraction from imag ``` git clone https://github.com/faustomorales/keras-ocr ``` -- [PyPi](https://pypi.org/project/keras-ocr) (πŸ“₯ 37K / month Β· πŸ“¦ 8 Β· ⏱️ 06.11.2023): +- [PyPi](https://pypi.org/project/keras-ocr) (πŸ“₯ 38K / month Β· πŸ“¦ 8 Β· ⏱️ 06.11.2023): ``` pip install keras-ocr ``` @@ -4300,18 +4290,6 @@ _Libraries for optical character recognition (OCR) and text extraction from imag conda install -c anaconda keras-ocr ```
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calamari (πŸ₯‰23 Β· ⭐ 1K) - Line based ATR Engine based on OCRopy. Apache-2 - -- [GitHub](https://github.com/Calamari-OCR/calamari) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 210 Β· πŸ“‹ 280 - 24% open Β· ⏱️ 30.07.2024): - - ``` - git clone https://github.com/Calamari-OCR/calamari - ``` -- [PyPi](https://pypi.org/project/calamari_ocr) (πŸ“₯ 5.5K / month Β· πŸ“¦ 8 Β· ⏱️ 31.07.2024): - ``` - pip install calamari_ocr - ``` -
attention-ocr (πŸ₯‰21 Β· ⭐ 1.1K Β· πŸ’€) - A Tensorflow model for text recognition (CNN + seq2seq.. MIT - [GitHub](https://github.com/emedvedev/attention-ocr) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 250 Β· πŸ“¦ 29 Β· πŸ“‹ 150 - 16% open Β· ⏱️ 20.10.2023): @@ -4319,13 +4297,14 @@ _Libraries for optical character recognition (OCR) and text extraction from imag ``` git clone https://github.com/emedvedev/attention-ocr ``` -- [PyPi](https://pypi.org/project/aocr) (πŸ“₯ 510 / month Β· ⏱️ 19.04.2019): +- [PyPi](https://pypi.org/project/aocr) (πŸ“₯ 610 / month Β· ⏱️ 19.04.2019): ``` pip install aocr ```
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Show 3 hidden projects... +
Show 4 hidden projects... +- calamari (πŸ₯‰23 Β· ⭐ 1K) - Line based ATR Engine based on OCRopy. ❗️GPL-3.0 - pdftabextract (πŸ₯‰21 Β· ⭐ 2.2K Β· πŸ’€) - A set of tools for extracting tables from PDF files.. Apache-2 - doc2text (πŸ₯‰20 Β· ⭐ 1.3K Β· πŸ’€) - Detect text blocks and OCR poorly scanned PDFs in bulk. Python.. MIT - Mozart (πŸ₯‰10 Β· ⭐ 600 Β· πŸ’€) - An optical music recognition (OMR) system. Converts sheet.. Apache-2 @@ -4380,44 +4359,44 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
Ray (πŸ₯‡45 Β· ⭐ 33K) - Ray is a unified framework for scaling AI and Python applications. Ray.. Apache-2 -- [GitHub](https://github.com/ray-project/ray) (πŸ‘¨β€πŸ’» 1.1K Β· πŸ”€ 5.6K Β· πŸ“₯ 240 Β· πŸ“¦ 18K Β· πŸ“‹ 19K - 21% open Β· ⏱️ 26.09.2024): +- [GitHub](https://github.com/ray-project/ray) (πŸ‘¨β€πŸ’» 1.1K Β· πŸ”€ 5.6K Β· πŸ“₯ 240 Β· πŸ“¦ 18K Β· πŸ“‹ 19K - 21% open Β· ⏱️ 01.10.2024): ``` git clone https://github.com/ray-project/ray ``` -- [PyPi](https://pypi.org/project/ray) (πŸ“₯ 5.6M / month Β· πŸ“¦ 770 Β· ⏱️ 24.09.2024): +- [PyPi](https://pypi.org/project/ray) (πŸ“₯ 5.8M / month Β· πŸ“¦ 770 Β· ⏱️ 24.09.2024): ``` pip install ray ``` -- [Conda](https://anaconda.org/conda-forge/ray-tune) (πŸ“₯ 410K Β· ⏱️ 25.09.2024): +- [Conda](https://anaconda.org/conda-forge/ray-tune) (πŸ“₯ 420K Β· ⏱️ 01.10.2024): ``` conda install -c conda-forge ray-tune ```
dask (πŸ₯‡44 Β· ⭐ 12K) - Parallel computing with task scheduling. BSD-3 -- [GitHub](https://github.com/dask/dask) (πŸ‘¨β€πŸ’» 610 Β· πŸ”€ 1.7K Β· πŸ“¦ 65K Β· πŸ“‹ 5.3K - 20% open Β· ⏱️ 24.09.2024): +- [GitHub](https://github.com/dask/dask) (πŸ‘¨β€πŸ’» 610 Β· πŸ”€ 1.7K Β· πŸ“¦ 65K Β· πŸ“‹ 5.4K - 20% open Β· ⏱️ 02.10.2024): ``` git clone https://github.com/dask/dask ``` -- [PyPi](https://pypi.org/project/dask) (πŸ“₯ 12M / month Β· πŸ“¦ 2.4K Β· ⏱️ 13.09.2024): +- [PyPi](https://pypi.org/project/dask) (πŸ“₯ 12M / month Β· πŸ“¦ 2.4K Β· ⏱️ 28.09.2024): ``` pip install dask ``` -- [Conda](https://anaconda.org/conda-forge/dask) (πŸ“₯ 12M Β· ⏱️ 14.09.2024): +- [Conda](https://anaconda.org/conda-forge/dask) (πŸ“₯ 12M Β· ⏱️ 28.09.2024): ``` conda install -c conda-forge dask ```
DeepSpeed (πŸ₯‡41 Β· ⭐ 35K) - DeepSpeed is a deep learning optimization library that makes.. Apache-2 -- [GitHub](https://github.com/microsoft/DeepSpeed) (πŸ‘¨β€πŸ’» 340 Β· πŸ”€ 4K Β· πŸ“¦ 8.8K Β· πŸ“‹ 2.9K - 39% open Β· ⏱️ 26.09.2024): +- [GitHub](https://github.com/microsoft/DeepSpeed) (πŸ‘¨β€πŸ’» 340 Β· πŸ”€ 4K Β· πŸ“¦ 8.9K Β· πŸ“‹ 2.9K - 38% open Β· ⏱️ 27.09.2024): ``` git clone https://github.com/microsoft/DeepSpeed ``` -- [PyPi](https://pypi.org/project/deepspeed) (πŸ“₯ 480K / month Β· πŸ“¦ 200 Β· ⏱️ 05.09.2024): +- [PyPi](https://pypi.org/project/deepspeed) (πŸ“₯ 510K / month Β· πŸ“¦ 200 Β· ⏱️ 05.09.2024): ``` pip install deepspeed ``` @@ -4428,16 +4407,16 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
dask.distributed (πŸ₯‡40 Β· ⭐ 1.6K) - A distributed task scheduler for Dask. BSD-3 -- [GitHub](https://github.com/dask/distributed) (πŸ‘¨β€πŸ’» 330 Β· πŸ”€ 720 Β· πŸ“¦ 37K Β· πŸ“‹ 3.9K - 39% open Β· ⏱️ 24.09.2024): +- [GitHub](https://github.com/dask/distributed) (πŸ‘¨β€πŸ’» 330 Β· πŸ”€ 720 Β· πŸ“¦ 37K Β· πŸ“‹ 3.9K - 39% open Β· ⏱️ 02.10.2024): ``` git clone https://github.com/dask/distributed ``` -- [PyPi](https://pypi.org/project/distributed) (πŸ“₯ 4.9M / month Β· πŸ“¦ 820 Β· ⏱️ 13.09.2024): +- [PyPi](https://pypi.org/project/distributed) (πŸ“₯ 5M / month Β· πŸ“¦ 840 Β· ⏱️ 28.09.2024): ``` pip install distributed ``` -- [Conda](https://anaconda.org/conda-forge/distributed) (πŸ“₯ 15M Β· ⏱️ 13.09.2024): +- [Conda](https://anaconda.org/conda-forge/distributed) (πŸ“₯ 15M Β· ⏱️ 28.09.2024): ``` conda install -c conda-forge distributed ``` @@ -4449,19 +4428,19 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/horovod/horovod ``` -- [PyPi](https://pypi.org/project/horovod) (πŸ“₯ 150K / month Β· πŸ“¦ 33 Β· ⏱️ 12.06.2023): +- [PyPi](https://pypi.org/project/horovod) (πŸ“₯ 140K / month Β· πŸ“¦ 33 Β· ⏱️ 12.06.2023): ``` pip install horovod ```
metrics (πŸ₯ˆ36 Β· ⭐ 2.1K) - Torchmetrics - Machine learning metrics for distributed,.. Apache-2 -- [GitHub](https://github.com/Lightning-AI/torchmetrics) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 400 Β· πŸ“₯ 5.7K Β· πŸ“¦ 30K Β· πŸ“‹ 870 - 9% open Β· ⏱️ 24.09.2024): +- [GitHub](https://github.com/Lightning-AI/torchmetrics) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 400 Β· πŸ“₯ 5.7K Β· πŸ“¦ 31K Β· πŸ“‹ 870 - 9% open Β· ⏱️ 02.10.2024): ``` git clone https://github.com/Lightning-AI/metrics ``` -- [PyPi](https://pypi.org/project/metrics) (πŸ“₯ 4.4K / month Β· πŸ“¦ 2 Β· ⏱️ 28.04.2018): +- [PyPi](https://pypi.org/project/metrics) (πŸ“₯ 5.4K / month Β· πŸ“¦ 2 Β· ⏱️ 28.04.2018): ``` pip install metrics ``` @@ -4477,7 +4456,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/h2oai/h2o-3 ``` -- [PyPi](https://pypi.org/project/h2o) (πŸ“₯ 280K / month Β· πŸ“¦ 48 Β· ⏱️ 29.08.2024): +- [PyPi](https://pypi.org/project/h2o) (πŸ“₯ 290K / month Β· πŸ“¦ 48 Β· ⏱️ 29.08.2024): ``` pip install h2o ``` @@ -4490,14 +4469,14 @@ _Libraries that provide capabilities to distribute and parallelize machine learn git clone https://github.com/hpcaitech/colossalai ```
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BigDL (πŸ₯ˆ33 Β· ⭐ 6.5K) - Accelerate local LLM inference and finetuning (LLaMA, Mistral,.. Apache-2 +
BigDL (πŸ₯ˆ33 Β· ⭐ 6.6K) - Accelerate local LLM inference and finetuning (LLaMA, Mistral,.. Apache-2 -- [GitHub](https://github.com/intel-analytics/ipex-llm) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 1.2K Β· πŸ“₯ 630 Β· πŸ“‹ 2.6K - 37% open Β· ⏱️ 26.09.2024): +- [GitHub](https://github.com/intel-analytics/ipex-llm) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 1.2K Β· πŸ“₯ 640 Β· πŸ“‹ 2.6K - 38% open Β· ⏱️ 29.09.2024): ``` git clone https://github.com/intel-analytics/BigDL ``` -- [PyPi](https://pypi.org/project/bigdl) (πŸ“₯ 22K / month Β· πŸ“¦ 2 Β· ⏱️ 24.03.2024): +- [PyPi](https://pypi.org/project/bigdl) (πŸ“₯ 24K / month Β· πŸ“¦ 2 Β· ⏱️ 24.03.2024): ``` pip install bigdl ``` @@ -4512,12 +4491,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
FairScale (πŸ₯ˆ32 Β· ⭐ 3.2K) - PyTorch extensions for high performance and large scale training. BSD-3 -- [GitHub](https://github.com/facebookresearch/fairscale) (πŸ‘¨β€πŸ’» 75 Β· πŸ”€ 270 Β· πŸ“¦ 6.3K Β· πŸ“‹ 390 - 26% open Β· ⏱️ 03.05.2024): +- [GitHub](https://github.com/facebookresearch/fairscale) (πŸ‘¨β€πŸ’» 75 Β· πŸ”€ 270 Β· πŸ“¦ 6.4K Β· πŸ“‹ 390 - 26% open Β· ⏱️ 03.05.2024): ``` git clone https://github.com/facebookresearch/fairscale ``` -- [PyPi](https://pypi.org/project/fairscale) (πŸ“₯ 540K / month Β· πŸ“¦ 150 Β· ⏱️ 11.12.2022): +- [PyPi](https://pypi.org/project/fairscale) (πŸ“₯ 550K / month Β· πŸ“¦ 150 Β· ⏱️ 11.12.2022): ``` pip install fairscale ``` @@ -4526,14 +4505,14 @@ _Libraries that provide capabilities to distribute and parallelize machine learn conda install -c conda-forge fairscale ```
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mpi4py (πŸ₯ˆ30 Β· ⭐ 800) - Python bindings for MPI. BSD-3 +
mpi4py (πŸ₯ˆ31 Β· ⭐ 800) - Python bindings for MPI. BSD-3 -- [GitHub](https://github.com/mpi4py/mpi4py) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 120 Β· πŸ“₯ 27K Β· πŸ“‹ 170 - 3% open Β· ⏱️ 18.09.2024): +- [GitHub](https://github.com/mpi4py/mpi4py) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 120 Β· πŸ“₯ 27K Β· πŸ“‹ 180 - 3% open Β· ⏱️ 01.10.2024): ``` git clone https://github.com/mpi4py/mpi4py ``` -- [PyPi](https://pypi.org/project/mpi4py) (πŸ“₯ 880K / month Β· πŸ“¦ 740 Β· ⏱️ 28.07.2024): +- [PyPi](https://pypi.org/project/mpi4py) (πŸ“₯ 800K / month Β· πŸ“¦ 740 Β· ⏱️ 28.07.2024): ``` pip install mpi4py ``` @@ -4554,30 +4533,14 @@ _Libraries that provide capabilities to distribute and parallelize machine learn pip install synapseml ```
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dask-ml (πŸ₯ˆ29 Β· ⭐ 890) - Scalable Machine Learning with Dask. BSD-3 - -- [GitHub](https://github.com/dask/dask-ml) (πŸ‘¨β€πŸ’» 80 Β· πŸ”€ 260 Β· πŸ“¦ 1.1K Β· πŸ“‹ 540 - 52% open Β· ⏱️ 20.07.2024): - - ``` - git clone https://github.com/dask/dask-ml - ``` -- [PyPi](https://pypi.org/project/dask-ml) (πŸ“₯ 120K / month Β· πŸ“¦ 93 Β· ⏱️ 02.04.2024): - ``` - pip install dask-ml - ``` -- [Conda](https://anaconda.org/conda-forge/dask-ml) (πŸ“₯ 890K Β· ⏱️ 17.06.2024): - ``` - conda install -c conda-forge dask-ml - ``` -
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Submit it (πŸ₯ˆ28 Β· ⭐ 1.3K) - Python 3.8+ toolbox for submitting jobs to Slurm. MIT +
Submit it (πŸ₯ˆ29 Β· ⭐ 1.3K) - Python 3.8+ toolbox for submitting jobs to Slurm. MIT - [GitHub](https://github.com/facebookincubator/submitit) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 120 Β· πŸ“¦ 3.2K Β· πŸ“‹ 120 - 37% open Β· ⏱️ 18.09.2024): ``` git clone https://github.com/facebookincubator/submitit ``` -- [PyPi](https://pypi.org/project/submitit) (πŸ“₯ 430K / month Β· πŸ“¦ 49 Β· ⏱️ 18.09.2024): +- [PyPi](https://pypi.org/project/submitit) (πŸ“₯ 450K / month Β· πŸ“¦ 49 Β· ⏱️ 18.09.2024): ``` pip install submitit ``` @@ -4598,9 +4561,25 @@ _Libraries that provide capabilities to distribute and parallelize machine learn pip install petastorm ```
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dask-ml (πŸ₯‰27 Β· ⭐ 890 Β· πŸ“‰) - Scalable Machine Learning with Dask. BSD-3 + +- [GitHub](https://github.com/dask/dask-ml) (πŸ‘¨β€πŸ’» 80 Β· πŸ”€ 260 Β· πŸ“¦ 1.1K Β· πŸ“‹ 540 - 52% open Β· ⏱️ 20.07.2024): + + ``` + git clone https://github.com/dask/dask-ml + ``` +- [PyPi](https://pypi.org/project/dask-ml) (πŸ“₯ 120K / month Β· πŸ“¦ 93 Β· ⏱️ 02.04.2024): + ``` + pip install dask-ml + ``` +- [Conda](https://anaconda.org/conda-forge/dask-ml) (πŸ“₯ 890K Β· ⏱️ 17.06.2024): + ``` + conda install -c conda-forge dask-ml + ``` +
Apache Singa (πŸ₯‰25 Β· ⭐ 3.4K) - a distributed deep learning platform. Apache-2 -- [GitHub](https://github.com/apache/singa) (πŸ‘¨β€πŸ’» 91 Β· πŸ”€ 1.2K Β· πŸ“¦ 4 Β· πŸ“‹ 140 - 38% open Β· ⏱️ 17.08.2024): +- [GitHub](https://github.com/apache/singa) (πŸ‘¨β€πŸ’» 91 Β· πŸ”€ 1.2K Β· πŸ“¦ 4 Β· πŸ“‹ 130 - 37% open Β· ⏱️ 17.08.2024): ``` git clone https://github.com/apache/singa @@ -4614,14 +4593,14 @@ _Libraries that provide capabilities to distribute and parallelize machine learn docker pull apache/singa ```
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Hivemind (πŸ₯‰25 Β· ⭐ 2K) - Decentralized deep learning in PyTorch. Built to train models on thousands.. MIT +
Hivemind (πŸ₯‰24 Β· ⭐ 2K) - Decentralized deep learning in PyTorch. Built to train models on thousands.. MIT - [GitHub](https://github.com/learning-at-home/hivemind) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 150 Β· πŸ“¦ 110 Β· πŸ“‹ 180 - 41% open Β· ⏱️ 15.07.2024): ``` git clone https://github.com/learning-at-home/hivemind ``` -- [PyPi](https://pypi.org/project/hivemind) (πŸ“₯ 1.1K / month Β· πŸ“¦ 10 Β· ⏱️ 31.08.2023): +- [PyPi](https://pypi.org/project/hivemind) (πŸ“₯ 1.3K / month Β· πŸ“¦ 10 Β· ⏱️ 31.08.2023): ``` pip install hivemind ``` @@ -4645,19 +4624,19 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/tensorflow/mesh ``` -- [PyPi](https://pypi.org/project/mesh-tensorflow) (πŸ“₯ 66K / month Β· πŸ“¦ 3 Β· ⏱️ 15.05.2022): +- [PyPi](https://pypi.org/project/mesh-tensorflow) (πŸ“₯ 63K / month Β· πŸ“¦ 3 Β· ⏱️ 15.05.2022): ``` pip install mesh-tensorflow ```
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analytics-zoo (πŸ₯‰22 Β· ⭐ 2.6K Β· 🐣) - Distributed Tensorflow, Keras and PyTorch on Apache.. Apache-2 +
analytics-zoo (πŸ₯‰22 Β· ⭐ 2.6K) - Distributed Tensorflow, Keras and PyTorch on Apache.. Apache-2 - [GitHub](https://github.com/intel-analytics/analytics-zoo) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 730 Β· πŸ“‹ 1.3K - 32% open Β· ⏱️ 20.09.2024): ``` git clone https://github.com/intel-analytics/analytics-zoo ``` -- [PyPi](https://pypi.org/project/analytics-zoo) (πŸ“₯ 870 / month Β· πŸ“¦ 1 Β· ⏱️ 22.08.2022): +- [PyPi](https://pypi.org/project/analytics-zoo) (πŸ“₯ 1K / month Β· πŸ“¦ 1 Β· ⏱️ 22.08.2022): ``` pip install analytics-zoo ``` @@ -4672,8 +4651,8 @@ _Libraries that provide capabilities to distribute and parallelize machine learn - launchpad (πŸ₯‰21 Β· ⭐ 310 Β· πŸ’€) - Launchpad is a library that simplifies writing.. Apache-2 - sk-dist (πŸ₯‰21 Β· ⭐ 280 Β· πŸ’€) - Distributed scikit-learn meta-estimators in PySpark. Apache-2 - somoclu (πŸ₯‰21 Β· ⭐ 270 Β· πŸ’€) - Massively parallel self-organizing maps: accelerate training on.. MIT -- bluefog (πŸ₯‰19 Β· ⭐ 290 Β· πŸ’€) - Distributed and decentralized training framework for PyTorch.. Apache-2 - mesh-transformer-jax (πŸ₯‰18 Β· ⭐ 6.3K Β· πŸ’€) - Model parallel transformers in JAX and Haiku. Apache-2 +- bluefog (πŸ₯‰18 Β· ⭐ 290 Β· πŸ’€) - Distributed and decentralized training framework for PyTorch.. Apache-2 - Fiber (πŸ₯‰17 Β· ⭐ 1K Β· πŸ’€) - Distributed Computing for AI Made Simple. Apache-2 - parallelformers (πŸ₯‰17 Β· ⭐ 780 Β· πŸ’€) - Parallelformers: An Efficient Model Parallelization.. Apache-2 - TensorFrames (πŸ₯‰16 Β· ⭐ 720 Β· πŸ’€) - Tensorflow wrapper for DataFrames on Apache Spark. Apache-2 @@ -4691,28 +4670,28 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
Optuna (πŸ₯‡43 Β· ⭐ 11K) - A hyperparameter optimization framework. MIT -- [GitHub](https://github.com/optuna/optuna) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 990 Β· πŸ“¦ 18K Β· πŸ“‹ 1.7K - 4% open Β· ⏱️ 26.09.2024): +- [GitHub](https://github.com/optuna/optuna) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 1K Β· πŸ“¦ 18K Β· πŸ“‹ 1.7K - 4% open Β· ⏱️ 01.10.2024): ``` git clone https://github.com/optuna/optuna ``` -- [PyPi](https://pypi.org/project/optuna) (πŸ“₯ 3.7M / month Β· πŸ“¦ 950 Β· ⏱️ 02.09.2024): +- [PyPi](https://pypi.org/project/optuna) (πŸ“₯ 3.6M / month Β· πŸ“¦ 990 Β· ⏱️ 02.09.2024): ``` pip install optuna ``` -- [Conda](https://anaconda.org/conda-forge/optuna) (πŸ“₯ 1.6M Β· ⏱️ 03.09.2024): +- [Conda](https://anaconda.org/conda-forge/optuna) (πŸ“₯ 1.7M Β· ⏱️ 03.09.2024): ``` conda install -c conda-forge optuna ```
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Ax (πŸ₯‡36 Β· ⭐ 2.4K Β· πŸ“ˆ) - Adaptive Experimentation Platform. MIT +
Ax (πŸ₯‡36 Β· ⭐ 2.4K) - Adaptive Experimentation Platform. MIT -- [GitHub](https://github.com/facebook/Ax) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 300 Β· πŸ“¦ 810 Β· πŸ“‹ 770 - 7% open Β· ⏱️ 25.09.2024): +- [GitHub](https://github.com/facebook/Ax) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 300 Β· πŸ“¦ 810 Β· πŸ“‹ 780 - 7% open Β· ⏱️ 03.10.2024): ``` git clone https://github.com/facebook/Ax ``` -- [PyPi](https://pypi.org/project/ax-platform) (πŸ“₯ 100K / month Β· πŸ“¦ 54 Β· ⏱️ 23.09.2024): +- [PyPi](https://pypi.org/project/ax-platform) (πŸ“₯ 110K / month Β· πŸ“¦ 54 Β· ⏱️ 23.09.2024): ``` pip install ax-platform ``` @@ -4723,7 +4702,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
Bayesian Optimization (πŸ₯‡34 Β· ⭐ 7.8K) - A Python implementation of global optimization with.. MIT -- [GitHub](https://github.com/bayesian-optimization/BayesianOptimization) (πŸ‘¨β€πŸ’» 47 Β· πŸ”€ 1.5K Β· πŸ“₯ 160 Β· πŸ“¦ 2.9K Β· πŸ“‹ 360 - 2% open Β· ⏱️ 20.09.2024): +- [GitHub](https://github.com/bayesian-optimization/BayesianOptimization) (πŸ‘¨β€πŸ’» 47 Β· πŸ”€ 1.5K Β· πŸ“₯ 160 Β· πŸ“¦ 3K Β· πŸ“‹ 360 - 2% open Β· ⏱️ 01.10.2024): ``` git clone https://github.com/fmfn/BayesianOptimization @@ -4733,50 +4712,50 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc pip install bayesian-optimization ```
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BoTorch (πŸ₯‡34 Β· ⭐ 3.1K) - Bayesian optimization in PyTorch. MIT +
AutoGluon (πŸ₯‡34 Β· ⭐ 7.8K) - Fast and Accurate ML in 3 Lines of Code. Apache-2 -- [GitHub](https://github.com/pytorch/botorch) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 390 Β· πŸ“¦ 1.2K Β· πŸ“‹ 530 - 12% open Β· ⏱️ 24.09.2024): +- [GitHub](https://github.com/autogluon/autogluon) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 910 Β· πŸ“¦ 830 Β· πŸ“‹ 1.4K - 25% open Β· ⏱️ 02.10.2024): ``` - git clone https://github.com/pytorch/botorch + git clone https://github.com/autogluon/autogluon ``` -- [PyPi](https://pypi.org/project/botorch) (πŸ“₯ 190K / month Β· πŸ“¦ 84 Β· ⏱️ 17.09.2024): +- [PyPi](https://pypi.org/project/autogluon) (πŸ“₯ 160K / month Β· πŸ“¦ 27 Β· ⏱️ 03.10.2024): ``` - pip install botorch + pip install autogluon ``` -- [Conda](https://anaconda.org/conda-forge/botorch) (πŸ“₯ 120K Β· ⏱️ 20.09.2024): +- [Conda](https://anaconda.org/conda-forge/autogluon) (πŸ“₯ 19K Β· ⏱️ 18.06.2024): ``` - conda install -c conda-forge botorch + conda install -c conda-forge autogluon + ``` +- [Docker Hub](https://hub.docker.com/r/autogluon/autogluon) (πŸ“₯ 10K Β· ⭐ 17 Β· ⏱️ 07.03.2024): + ``` + docker pull autogluon/autogluon ```
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AutoGluon (πŸ₯‡33 Β· ⭐ 7.8K) - Fast and Accurate ML in 3 Lines of Code. Apache-2 +
BoTorch (πŸ₯‡34 Β· ⭐ 3.1K) - Bayesian optimization in PyTorch. MIT -- [GitHub](https://github.com/autogluon/autogluon) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 900 Β· πŸ“¦ 830 Β· πŸ“‹ 1.4K - 24% open Β· ⏱️ 26.09.2024): +- [GitHub](https://github.com/pytorch/botorch) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 390 Β· πŸ“¦ 1.2K Β· πŸ“‹ 530 - 12% open Β· ⏱️ 02.10.2024): ``` - git clone https://github.com/autogluon/autogluon - ``` -- [PyPi](https://pypi.org/project/autogluon) (πŸ“₯ 130K / month Β· πŸ“¦ 27 Β· ⏱️ 26.09.2024): - ``` - pip install autogluon + git clone https://github.com/pytorch/botorch ``` -- [Conda](https://anaconda.org/conda-forge/autogluon) (πŸ“₯ 19K Β· ⏱️ 18.06.2024): +- [PyPi](https://pypi.org/project/botorch) (πŸ“₯ 200K / month Β· πŸ“¦ 84 Β· ⏱️ 17.09.2024): ``` - conda install -c conda-forge autogluon + pip install botorch ``` -- [Docker Hub](https://hub.docker.com/r/autogluon/autogluon) (πŸ“₯ 10K Β· ⭐ 17 Β· ⏱️ 07.03.2024): +- [Conda](https://anaconda.org/conda-forge/botorch) (πŸ“₯ 120K Β· ⏱️ 20.09.2024): ``` - docker pull autogluon/autogluon + conda install -c conda-forge botorch ```
featuretools (πŸ₯‡33 Β· ⭐ 7.2K) - An open source python library for automated feature engineering. BSD-3 -- [GitHub](https://github.com/alteryx/featuretools) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 870 Β· πŸ“¦ 1.8K Β· πŸ“‹ 1K - 14% open Β· ⏱️ 21.06.2024): +- [GitHub](https://github.com/alteryx/featuretools) (πŸ‘¨β€πŸ’» 73 Β· πŸ”€ 870 Β· πŸ“¦ 1.8K Β· πŸ“‹ 1K - 14% open Β· ⏱️ 21.06.2024): ``` git clone https://github.com/alteryx/featuretools ``` -- [PyPi](https://pypi.org/project/featuretools) (πŸ“₯ 73K / month Β· πŸ“¦ 74 Β· ⏱️ 14.05.2024): +- [PyPi](https://pypi.org/project/featuretools) (πŸ“₯ 77K / month Β· πŸ“¦ 74 Β· ⏱️ 14.05.2024): ``` pip install featuretools ``` @@ -4785,14 +4764,14 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc conda install -c conda-forge featuretools ```
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Hyperopt (πŸ₯‡33 Β· ⭐ 7.2K Β· πŸ“‰) - Distributed Asynchronous Hyperparameter Optimization in Python. BSD-3 +
Hyperopt (πŸ₯‡33 Β· ⭐ 7.2K) - Distributed Asynchronous Hyperparameter Optimization in Python. BSD-3 -- [GitHub](https://github.com/hyperopt/hyperopt) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 1K Β· πŸ“¦ 17K Β· πŸ“‹ 680 - 25% open Β· ⏱️ 25.09.2024): +- [GitHub](https://github.com/hyperopt/hyperopt) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 1.1K Β· πŸ“¦ 17K Β· πŸ“‹ 650 - 21% open Β· ⏱️ 25.09.2024): ``` git clone https://github.com/hyperopt/hyperopt ``` -- [PyPi](https://pypi.org/project/hyperopt) (πŸ“₯ 2.2M / month Β· πŸ“¦ 450 Β· ⏱️ 17.11.2021): +- [PyPi](https://pypi.org/project/hyperopt) (πŸ“₯ 2.4M / month Β· πŸ“¦ 450 Β· ⏱️ 17.11.2021): ``` pip install hyperopt ``` @@ -4801,26 +4780,14 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc conda install -c conda-forge hyperopt ```
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NNI (πŸ₯ˆ32 Β· ⭐ 14K Β· πŸ’€) - An open source AutoML toolkit for automate machine learning lifecycle,.. MIT - -- [GitHub](https://github.com/microsoft/nni) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 1.8K Β· πŸ“¦ 21 Β· πŸ“‹ 2.1K - 19% open Β· ⏱️ 26.10.2023): - - ``` - git clone https://github.com/microsoft/nni - ``` -- [PyPi](https://pypi.org/project/nni) (πŸ“₯ 18K / month Β· πŸ“¦ 47 Β· ⏱️ 14.09.2023): - ``` - pip install nni - ``` -
nevergrad (πŸ₯ˆ32 Β· ⭐ 3.9K) - A Python toolbox for performing gradient-free optimization. MIT -- [GitHub](https://github.com/facebookresearch/nevergrad) (πŸ‘¨β€πŸ’» 57 Β· πŸ”€ 350 Β· πŸ“¦ 740 Β· πŸ“‹ 300 - 39% open Β· ⏱️ 25.09.2024): +- [GitHub](https://github.com/facebookresearch/nevergrad) (πŸ‘¨β€πŸ’» 57 Β· πŸ”€ 350 Β· πŸ“¦ 750 Β· πŸ“‹ 300 - 39% open Β· ⏱️ 03.10.2024): ``` git clone https://github.com/facebookresearch/nevergrad ``` -- [PyPi](https://pypi.org/project/nevergrad) (πŸ“₯ 90K / month Β· πŸ“¦ 58 Β· ⏱️ 25.09.2024): +- [PyPi](https://pypi.org/project/nevergrad) (πŸ“₯ 80K / month Β· πŸ“¦ 58 Β· ⏱️ 25.09.2024): ``` pip install nevergrad ``` @@ -4829,14 +4796,26 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc conda install -c conda-forge nevergrad ```
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AutoKeras (πŸ₯ˆ31 Β· ⭐ 9.1K) - AutoML library for deep learning. Apache-2 +
NNI (πŸ₯ˆ31 Β· ⭐ 14K Β· πŸ’€) - An open source AutoML toolkit for automate machine learning lifecycle,.. MIT + +- [GitHub](https://github.com/microsoft/nni) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 1.8K Β· πŸ“¦ 21 Β· πŸ“‹ 2.1K - 19% open Β· ⏱️ 26.10.2023): + + ``` + git clone https://github.com/microsoft/nni + ``` +- [PyPi](https://pypi.org/project/nni) (πŸ“₯ 18K / month Β· πŸ“¦ 47 Β· ⏱️ 14.09.2023): + ``` + pip install nni + ``` +
+
AutoKeras (πŸ₯ˆ31 Β· ⭐ 9.1K Β· πŸ’€) - AutoML library for deep learning. Apache-2 - [GitHub](https://github.com/keras-team/autokeras) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.4K Β· πŸ“₯ 19K Β· πŸ“¦ 740 Β· πŸ“‹ 900 - 15% open Β· ⏱️ 20.03.2024): ``` git clone https://github.com/keras-team/autokeras ``` -- [PyPi](https://pypi.org/project/autokeras) (πŸ“₯ 37K / month Β· πŸ“¦ 13 Β· ⏱️ 20.03.2024): +- [PyPi](https://pypi.org/project/autokeras) (πŸ“₯ 23K / month Β· πŸ“¦ 13 Β· ⏱️ 20.03.2024): ``` pip install autokeras ``` @@ -4848,7 +4827,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/keras-team/keras-tuner ``` -- [PyPi](https://pypi.org/project/keras-tuner) (πŸ“₯ 310K / month Β· πŸ“¦ 120 Β· ⏱️ 04.03.2024): +- [PyPi](https://pypi.org/project/keras-tuner) (πŸ“₯ 280K / month Β· πŸ“¦ 120 Β· ⏱️ 04.03.2024): ``` pip install keras-tuner ``` @@ -4859,12 +4838,12 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
mljar-supervised (πŸ₯ˆ29 Β· ⭐ 3K) - Python package for AutoML on Tabular Data with Feature.. MIT -- [GitHub](https://github.com/mljar/mljar-supervised) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 400 Β· πŸ“¦ 130 Β· πŸ“‹ 660 - 24% open Β· ⏱️ 25.09.2024): +- [GitHub](https://github.com/mljar/mljar-supervised) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 400 Β· πŸ“¦ 130 Β· πŸ“‹ 680 - 23% open Β· ⏱️ 30.09.2024): ``` git clone https://github.com/mljar/mljar-supervised ``` -- [PyPi](https://pypi.org/project/mljar-supervised) (πŸ“₯ 5.2K / month Β· πŸ“¦ 4 Β· ⏱️ 10.09.2024): +- [PyPi](https://pypi.org/project/mljar-supervised) (πŸ“₯ 5.8K / month Β· πŸ“¦ 4 Β· ⏱️ 10.09.2024): ``` pip install mljar-supervised ``` @@ -4889,21 +4868,21 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc conda install -c conda-forge lazypredict ```
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Talos (πŸ₯ˆ26 Β· ⭐ 1.6K) - Hyperparameter Experiments with TensorFlow and Keras. MIT +
Talos (πŸ₯ˆ25 Β· ⭐ 1.6K) - Hyperparameter Experiments with TensorFlow and Keras. MIT - [GitHub](https://github.com/autonomio/talos) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 270 Β· πŸ“¦ 190 Β· πŸ“‹ 400 - 2% open Β· ⏱️ 22.04.2024): ``` git clone https://github.com/autonomio/talos ``` -- [PyPi](https://pypi.org/project/talos) (πŸ“₯ 2.3K / month Β· πŸ“¦ 8 Β· ⏱️ 21.04.2024): +- [PyPi](https://pypi.org/project/talos) (πŸ“₯ 2.1K / month Β· πŸ“¦ 8 Β· ⏱️ 21.04.2024): ``` pip install talos ```
FEDOT (πŸ₯ˆ25 Β· ⭐ 640) - Automated modeling and machine learning framework FEDOT. BSD-3 -- [GitHub](https://github.com/aimclub/FEDOT) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 86 Β· πŸ“¦ 52 Β· πŸ“‹ 550 - 17% open Β· ⏱️ 20.09.2024): +- [GitHub](https://github.com/aimclub/FEDOT) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 86 Β· πŸ“¦ 52 Β· πŸ“‹ 550 - 17% open Β· ⏱️ 30.09.2024): ``` git clone https://github.com/nccr-itmo/FEDOT @@ -4915,38 +4894,38 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
Hyperactive (πŸ₯ˆ25 Β· ⭐ 510) - An optimization and data collection toolbox for convenient and fast.. MIT -- [GitHub](https://github.com/SimonBlanke/Hyperactive) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 42 Β· πŸ“₯ 240 Β· πŸ“¦ 34 Β· πŸ“‹ 76 - 19% open Β· ⏱️ 26.09.2024): +- [GitHub](https://github.com/SimonBlanke/Hyperactive) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 42 Β· πŸ“₯ 250 Β· πŸ“¦ 34 Β· πŸ“‹ 76 - 19% open Β· ⏱️ 01.10.2024): ``` git clone https://github.com/SimonBlanke/Hyperactive ``` -- [PyPi](https://pypi.org/project/hyperactive) (πŸ“₯ 2.2K / month Β· πŸ“¦ 13 Β· ⏱️ 15.08.2024): +- [PyPi](https://pypi.org/project/hyperactive) (πŸ“₯ 2.5K / month Β· πŸ“¦ 13 Β· ⏱️ 15.08.2024): ``` pip install hyperactive ```
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Auto ViML (πŸ₯‰22 Β· ⭐ 520) - Automatically Build Multiple ML Models with a Single Line of Code... Apache-2 +
featurewiz (πŸ₯‰21 Β· ⭐ 580) - Use advanced feature engineering strategies and select best.. Apache-2 -- [GitHub](https://github.com/AutoViML/Auto_ViML) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 100 Β· πŸ“¦ 26 Β· πŸ“‹ 34 - 2% open Β· ⏱️ 11.05.2024): +- [GitHub](https://github.com/AutoViML/featurewiz) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 85 Β· πŸ“¦ 73 Β· πŸ“‹ 96 - 4% open Β· ⏱️ 02.05.2024): ``` - git clone https://github.com/AutoViML/Auto_ViML + git clone https://github.com/AutoViML/featurewiz ``` -- [PyPi](https://pypi.org/project/autoviml) (πŸ“₯ 5K / month Β· πŸ“¦ 3 Β· ⏱️ 11.05.2024): +- [PyPi](https://pypi.org/project/featurewiz) (πŸ“₯ 32K / month Β· πŸ“¦ 2 Β· ⏱️ 10.02.2024): ``` - pip install autoviml + pip install featurewiz ```
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featurewiz (πŸ₯‰21 Β· ⭐ 580) - Use advanced feature engineering strategies and select best.. Apache-2 +
Auto ViML (πŸ₯‰21 Β· ⭐ 520) - Automatically Build Multiple ML Models with a Single Line of Code... Apache-2 -- [GitHub](https://github.com/AutoViML/featurewiz) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 85 Β· πŸ“¦ 73 Β· πŸ“‹ 95 - 3% open Β· ⏱️ 02.05.2024): +- [GitHub](https://github.com/AutoViML/Auto_ViML) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 100 Β· πŸ“¦ 26 Β· πŸ“‹ 34 - 2% open Β· ⏱️ 11.05.2024): ``` - git clone https://github.com/AutoViML/featurewiz + git clone https://github.com/AutoViML/Auto_ViML ``` -- [PyPi](https://pypi.org/project/featurewiz) (πŸ“₯ 21K / month Β· πŸ“¦ 2 Β· ⏱️ 10.02.2024): +- [PyPi](https://pypi.org/project/autoviml) (πŸ“₯ 5.4K / month Β· πŸ“¦ 3 Β· ⏱️ 11.05.2024): ``` - pip install featurewiz + pip install autoviml ```
AlphaPy (πŸ₯‰20 Β· ⭐ 1.1K Β· πŸ’€) - Python AutoML for Trading Systems and Sports Betting. Apache-2 @@ -4956,7 +4935,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/ScottfreeLLC/AlphaPy ``` -- [PyPi](https://pypi.org/project/alphapy) (πŸ“₯ 570 / month Β· ⏱️ 29.08.2020): +- [PyPi](https://pypi.org/project/alphapy) (πŸ“₯ 820 / month Β· ⏱️ 29.08.2020): ``` pip install alphapy ``` @@ -4968,7 +4947,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/gugarosa/opytimizer ``` -- [PyPi](https://pypi.org/project/opytimizer) (πŸ“₯ 570 / month Β· ⏱️ 18.08.2024): +- [PyPi](https://pypi.org/project/opytimizer) (πŸ“₯ 700 / month Β· ⏱️ 18.08.2024): ``` pip install opytimizer ``` @@ -4980,7 +4959,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/cerlymarco/shap-hypetune ``` -- [PyPi](https://pypi.org/project/shap-hypetune) (πŸ“₯ 2.4K / month Β· πŸ“¦ 2 Β· ⏱️ 21.02.2024): +- [PyPi](https://pypi.org/project/shap-hypetune) (πŸ“₯ 2.5K / month Β· πŸ“¦ 2 Β· ⏱️ 21.02.2024): ``` pip install shap-hypetune ``` @@ -4988,7 +4967,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
Show 31 hidden projects... - scikit-optimize (πŸ₯‡33 Β· ⭐ 2.7K Β· πŸ’€) - Sequential model-based optimization with a.. BSD-3 -- TPOT (πŸ₯ˆ32 Β· ⭐ 9.7K Β· πŸ’€) - A Python Automated Machine Learning tool that optimizes.. ❗️LGPL-3.0 +- TPOT (πŸ₯ˆ31 Β· ⭐ 9.7K Β· πŸ’€) - A Python Automated Machine Learning tool that optimizes.. ❗️LGPL-3.0 - auto-sklearn (πŸ₯ˆ31 Β· ⭐ 7.6K Β· πŸ’€) - Automated Machine Learning with scikit-learn. BSD-3 - Hyperas (πŸ₯ˆ27 Β· ⭐ 2.2K Β· πŸ’€) - Keras + Hyperopt: A very simple wrapper for convenient.. MIT - GPyOpt (πŸ₯ˆ26 Β· ⭐ 930 Β· πŸ’€) - Gaussian Process Optimization using GPy. BSD-3 @@ -5001,7 +4980,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc - Test Tube (πŸ₯‰21 Β· ⭐ 740 Β· πŸ’€) - Python library to easily log experiments and parallelize.. MIT - HpBandSter (πŸ₯‰21 Β· ⭐ 610 Β· πŸ’€) - a distributed Hyperband implementation on Steroids. BSD-3 - Neuraxle (πŸ₯‰21 Β· ⭐ 610 Β· πŸ’€) - The worlds cleanest AutoML library - Do hyperparameter tuning.. Apache-2 -- optunity (πŸ₯‰21 Β· ⭐ 410 Β· πŸ’€) - optimization routines for hyperparameter tuning. BSD-3 +- optunity (πŸ₯‰21 Β· ⭐ 420 Β· πŸ’€) - optimization routines for hyperparameter tuning. BSD-3 - igel (πŸ₯‰20 Β· ⭐ 3.1K Β· πŸ’€) - a delightful machine learning tool that allows you to train, test, and.. MIT - sklearn-deap (πŸ₯‰20 Β· ⭐ 770 Β· πŸ’€) - Use evolutionary algorithms instead of gridsearch in.. MIT - Dragonfly (πŸ₯‰19 Β· ⭐ 850 Β· πŸ’€) - An open source python library for scalable Bayesian optimisation. MIT @@ -5014,8 +4993,8 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc - Parfit (πŸ₯‰15 Β· ⭐ 200 Β· πŸ’€) - A package for parallelizing the fit and flexibly scoring of.. MIT - ENAS (πŸ₯‰13 Β· ⭐ 2.7K Β· πŸ’€) - PyTorch implementation of Efficient Neural Architecture Search via.. Apache-2 - Auptimizer (πŸ₯‰13 Β· ⭐ 200 Β· πŸ’€) - An automatic ML model optimization tool. ❗️GPL-3.0 -- model_search (πŸ₯‰12 Β· ⭐ 3.3K Β· πŸ’€) - AutoML algorithms for model architecture search at scale. Apache-2 - Hypermax (πŸ₯‰12 Β· ⭐ 110 Β· πŸ’€) - Better, faster hyper-parameter optimization. BSD-3 +- model_search (πŸ₯‰11 Β· ⭐ 3.3K Β· πŸ’€) - AutoML algorithms for model architecture search at scale. Apache-2 - Devol (πŸ₯‰11 Β· ⭐ 950 Β· πŸ’€) - Genetic neural architecture search with Keras. MIT - Hypertunity (πŸ₯‰10 Β· ⭐ 140 Β· πŸ’€) - A toolset for black-box hyperparameter optimisation. Apache-2
@@ -5029,12 +5008,12 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
FinRL (πŸ₯‡31 Β· ⭐ 9.7K) - FinRL: Financial Reinforcement Learning. MIT -- [GitHub](https://github.com/AI4Finance-Foundation/FinRL) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 2.3K Β· πŸ“¦ 48 Β· πŸ“‹ 720 - 33% open Β· ⏱️ 04.09.2024): +- [GitHub](https://github.com/AI4Finance-Foundation/FinRL) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 2.4K Β· πŸ“¦ 48 Β· πŸ“‹ 720 - 34% open Β· ⏱️ 03.10.2024): ``` git clone https://github.com/AI4Finance-Foundation/FinRL ``` -- [PyPi](https://pypi.org/project/finrl) (πŸ“₯ 1.1K / month Β· ⏱️ 08.01.2022): +- [PyPi](https://pypi.org/project/finrl) (πŸ“₯ 1.2K / month Β· ⏱️ 08.01.2022): ``` pip install finrl ``` @@ -5046,14 +5025,14 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/mwydmuch/ViZDoom ``` -- [PyPi](https://pypi.org/project/vizdoom) (πŸ“₯ 2.4K / month Β· πŸ“¦ 15 Β· ⏱️ 20.08.2024): +- [PyPi](https://pypi.org/project/vizdoom) (πŸ“₯ 2.5K / month Β· πŸ“¦ 15 Β· ⏱️ 20.08.2024): ``` pip install vizdoom ```
TF-Agents (πŸ₯ˆ29 Β· ⭐ 2.8K) - TF-Agents: A reliable, scalable and easy to use TensorFlow.. Apache-2 -- [GitHub](https://github.com/tensorflow/agents) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 710 Β· πŸ“‹ 670 - 29% open Β· ⏱️ 18.09.2024): +- [GitHub](https://github.com/tensorflow/agents) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 710 Β· πŸ“‹ 670 - 29% open Β· ⏱️ 30.09.2024): ``` git clone https://github.com/tensorflow/agents @@ -5070,35 +5049,35 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/deepmind/acme ``` -- [PyPi](https://pypi.org/project/dm-acme) (πŸ“₯ 1.6K / month Β· πŸ“¦ 3 Β· ⏱️ 10.02.2022): +- [PyPi](https://pypi.org/project/dm-acme) (πŸ“₯ 1.3K / month Β· πŸ“¦ 3 Β· ⏱️ 10.02.2022): ``` pip install dm-acme ``` -- [Conda](https://anaconda.org/conda-forge/dm-acme) (πŸ“₯ 9.8K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/dm-acme) (πŸ“₯ 9.9K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge dm-acme ```
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Dopamine (πŸ₯ˆ27 Β· ⭐ 10K) - Dopamine is a research framework for fast prototyping of.. Apache-2 +
Dopamine (πŸ₯ˆ27 Β· ⭐ 11K) - Dopamine is a research framework for fast prototyping of.. Apache-2 - [GitHub](https://github.com/google/dopamine) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 1.4K Β· πŸ“¦ 21 Β· πŸ“‹ 190 - 53% open Β· ⏱️ 06.05.2024): ``` git clone https://github.com/google/dopamine ``` -- [PyPi](https://pypi.org/project/dopamine-rl) (πŸ“₯ 35K / month Β· πŸ“¦ 10 Β· ⏱️ 06.05.2024): +- [PyPi](https://pypi.org/project/dopamine-rl) (πŸ“₯ 37K / month Β· πŸ“¦ 10 Β· ⏱️ 06.05.2024): ``` pip install dopamine-rl ```
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TensorForce (πŸ₯‰26 Β· ⭐ 3.3K) - Tensorforce: a TensorFlow library for applied.. Apache-2 +
TensorForce (πŸ₯‰25 Β· ⭐ 3.3K) - Tensorforce: a TensorFlow library for applied.. Apache-2 - [GitHub](https://github.com/tensorforce/tensorforce) (πŸ‘¨β€πŸ’» 85 Β· πŸ”€ 530 Β· πŸ“¦ 450 Β· πŸ“‹ 680 - 6% open Β· ⏱️ 31.07.2024): ``` git clone https://github.com/tensorforce/tensorforce ``` -- [PyPi](https://pypi.org/project/tensorforce) (πŸ“₯ 870 / month Β· πŸ“¦ 4 Β· ⏱️ 30.08.2021): +- [PyPi](https://pypi.org/project/tensorforce) (πŸ“₯ 1.1K / month Β· πŸ“¦ 4 Β· ⏱️ 30.08.2021): ``` pip install tensorforce ``` @@ -5110,12 +5089,12 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/deepmind/rlax ``` -- [PyPi](https://pypi.org/project/rlax) (πŸ“₯ 21K / month Β· πŸ“¦ 11 Β· ⏱️ 09.01.2023): +- [PyPi](https://pypi.org/project/rlax) (πŸ“₯ 24K / month Β· πŸ“¦ 11 Β· ⏱️ 09.01.2023): ``` pip install rlax ```
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PARL (πŸ₯‰24 Β· ⭐ 3.2K) - A high-performance distributed training framework for Reinforcement.. Apache-2 +
PARL (πŸ₯‰23 Β· ⭐ 3.3K) - A high-performance distributed training framework for Reinforcement.. Apache-2 - [GitHub](https://github.com/PaddlePaddle/PARL) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 820 Β· πŸ“¦ 130 Β· πŸ“‹ 540 - 24% open Β· ⏱️ 09.07.2024): @@ -5134,7 +5113,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/pfnet/pfrl ``` -- [PyPi](https://pypi.org/project/pfrl) (πŸ“₯ 720 / month Β· πŸ“¦ 1 Β· ⏱️ 16.07.2023): +- [PyPi](https://pypi.org/project/pfrl) (πŸ“₯ 790 / month Β· πŸ“¦ 1 Β· ⏱️ 16.07.2023): ``` pip install pfrl ``` @@ -5146,14 +5125,14 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/facebookresearch/ReAgent ``` -- [PyPi](https://pypi.org/project/reagent) (πŸ“₯ 57 / month Β· ⏱️ 27.05.2020): +- [PyPi](https://pypi.org/project/reagent) (πŸ“₯ 66 / month Β· ⏱️ 27.05.2020): ``` pip install reagent ```
rliable (πŸ₯‰14 Β· ⭐ 750) - [NeurIPS21 Outstanding Paper] Library for reliable evaluation on RL.. Apache-2 -- [GitHub](https://github.com/google-research/rliable) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 46 Β· πŸ“¦ 150 Β· πŸ“‹ 17 - 5% open Β· ⏱️ 12.08.2024): +- [GitHub](https://github.com/google-research/rliable) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 46 Β· πŸ“¦ 150 Β· πŸ“‹ 17 - 5% open Β· ⏱️ 12.08.2024): ``` git clone https://github.com/google-research/rliable @@ -5166,7 +5145,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
Show 12 hidden projects... - OpenAI Gym (πŸ₯‡40 Β· ⭐ 35K Β· πŸ’€) - A toolkit for developing and comparing reinforcement learning.. MIT -- baselines (πŸ₯‡30 Β· ⭐ 16K Β· πŸ’€) - OpenAI Baselines: high-quality implementations of reinforcement.. MIT +- baselines (πŸ₯ˆ29 Β· ⭐ 16K Β· πŸ’€) - OpenAI Baselines: high-quality implementations of reinforcement.. MIT - keras-rl (πŸ₯ˆ28 Β· ⭐ 5.5K Β· πŸ’€) - Deep Reinforcement Learning for Keras. MIT - TensorLayer (πŸ₯ˆ27 Β· ⭐ 7.3K Β· πŸ’€) - Deep Learning and Reinforcement Learning Library for.. Apache-2 - Stable Baselines (πŸ₯‰25 Β· ⭐ 4.1K Β· πŸ’€) - A fork of OpenAI Baselines, implementations of.. MIT @@ -5188,42 +5167,42 @@ _Libraries for building and evaluating recommendation systems._
Recommenders (πŸ₯‡35 Β· ⭐ 19K) - Best Practices on Recommendation Systems. MIT -- [GitHub](https://github.com/recommenders-team/recommenders) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 3K Β· πŸ“₯ 580 Β· πŸ“¦ 120 Β· πŸ“‹ 860 - 18% open Β· ⏱️ 11.09.2024): +- [GitHub](https://github.com/recommenders-team/recommenders) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 3K Β· πŸ“₯ 590 Β· πŸ“¦ 120 Β· πŸ“‹ 860 - 18% open Β· ⏱️ 11.09.2024): ``` git clone https://github.com/microsoft/recommenders ``` -- [PyPi](https://pypi.org/project/recommenders) (πŸ“₯ 34K / month Β· πŸ“¦ 4 Β· ⏱️ 01.05.2024): +- [PyPi](https://pypi.org/project/recommenders) (πŸ“₯ 33K / month Β· πŸ“¦ 4 Β· ⏱️ 01.05.2024): ``` pip install recommenders ```
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implicit (πŸ₯‡30 Β· ⭐ 3.5K Β· πŸ’€) - Fast Python Collaborative Filtering for Implicit Feedback Datasets. MIT +
torchrec (πŸ₯‡31 Β· ⭐ 1.9K) - Pytorch domain library for recommendation systems. BSD-3 -- [GitHub](https://github.com/benfred/implicit) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 600 Β· πŸ“₯ 1.4K Β· πŸ“¦ 1.5K Β· πŸ“‹ 500 - 17% open Β· ⏱️ 21.11.2023): +- [GitHub](https://github.com/pytorch/torchrec) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 410 Β· πŸ“¦ 140 Β· πŸ“‹ 420 - 71% open Β· ⏱️ 03.10.2024): ``` - git clone https://github.com/benfred/implicit - ``` -- [PyPi](https://pypi.org/project/implicit) (πŸ“₯ 270K / month Β· πŸ“¦ 29 Β· ⏱️ 29.09.2023): - ``` - pip install implicit + git clone https://github.com/pytorch/torchrec ``` -- [Conda](https://anaconda.org/conda-forge/implicit) (πŸ“₯ 850K Β· ⏱️ 23.08.2024): +- [PyPi](https://pypi.org/project/torchrec-nightly-cpu) (πŸ“₯ 7.2K / month Β· ⏱️ 12.05.2022): ``` - conda install -c conda-forge implicit + pip install torchrec-nightly-cpu ```
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torchrec (πŸ₯‡30 Β· ⭐ 1.9K) - Pytorch domain library for recommendation systems. BSD-3 +
implicit (πŸ₯ˆ30 Β· ⭐ 3.5K Β· πŸ’€) - Fast Python Collaborative Filtering for Implicit Feedback Datasets. MIT -- [GitHub](https://github.com/pytorch/torchrec) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 400 Β· πŸ“¦ 140 Β· πŸ“‹ 420 - 71% open Β· ⏱️ 26.09.2024): +- [GitHub](https://github.com/benfred/implicit) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 600 Β· πŸ“₯ 1.4K Β· πŸ“¦ 1.5K Β· πŸ“‹ 500 - 17% open Β· ⏱️ 21.11.2023): ``` - git clone https://github.com/pytorch/torchrec + git clone https://github.com/benfred/implicit ``` -- [PyPi](https://pypi.org/project/torchrec-nightly-cpu) (πŸ“₯ 4.3K / month Β· ⏱️ 12.05.2022): +- [PyPi](https://pypi.org/project/implicit) (πŸ“₯ 300K / month Β· πŸ“¦ 29 Β· ⏱️ 29.09.2023): ``` - pip install torchrec-nightly-cpu + pip install implicit + ``` +- [Conda](https://anaconda.org/conda-forge/implicit) (πŸ“₯ 860K Β· ⏱️ 23.08.2024): + ``` + conda install -c conda-forge implicit ```
scikit-surprise (πŸ₯ˆ28 Β· ⭐ 6.4K) - A Python scikit for building and analyzing recommender.. BSD-3 @@ -5233,7 +5212,7 @@ _Libraries for building and evaluating recommendation systems._ ``` git clone https://github.com/NicolasHug/Surprise ``` -- [PyPi](https://pypi.org/project/scikit-surprise) (πŸ“₯ 83K / month Β· πŸ“¦ 37 Β· ⏱️ 19.05.2024): +- [PyPi](https://pypi.org/project/scikit-surprise) (πŸ“₯ 82K / month Β· πŸ“¦ 37 Β· ⏱️ 19.05.2024): ``` pip install scikit-surprise ``` @@ -5249,41 +5228,41 @@ _Libraries for building and evaluating recommendation systems._ ``` git clone https://github.com/PreferredAI/cornac ``` -- [PyPi](https://pypi.org/project/cornac) (πŸ“₯ 43K / month Β· πŸ“¦ 18 Β· ⏱️ 15.08.2024): +- [PyPi](https://pypi.org/project/cornac) (πŸ“₯ 44K / month Β· πŸ“¦ 18 Β· ⏱️ 15.08.2024): ``` pip install cornac ``` -- [Conda](https://anaconda.org/conda-forge/cornac) (πŸ“₯ 570K Β· ⏱️ 13.09.2024): +- [Conda](https://anaconda.org/conda-forge/cornac) (πŸ“₯ 580K Β· ⏱️ 13.09.2024): ``` conda install -c conda-forge cornac ```
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RecBole (πŸ₯ˆ26 Β· ⭐ 3.4K) - A unified, comprehensive and efficient recommendation library. MIT +
TF Ranking (πŸ₯ˆ26 Β· ⭐ 2.7K Β· πŸ’€) - Learning to Rank in TensorFlow. Apache-2 -- [GitHub](https://github.com/RUCAIBox/RecBole) (πŸ‘¨β€πŸ’» 74 Β· πŸ”€ 600 Β· πŸ“‹ 990 - 28% open Β· ⏱️ 05.09.2024): +- [GitHub](https://github.com/tensorflow/ranking) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 470 Β· πŸ“‹ 330 - 27% open Β· ⏱️ 18.03.2024): ``` - git clone https://github.com/RUCAIBox/RecBole - ``` -- [PyPi](https://pypi.org/project/recbole) (πŸ“₯ 61K / month Β· πŸ“¦ 2 Β· ⏱️ 31.10.2023): - ``` - pip install recbole + git clone https://github.com/tensorflow/ranking ``` -- [Conda](https://anaconda.org/aibox/recbole) (πŸ“₯ 6.1K Β· ⏱️ 01.11.2023): +- [PyPi](https://pypi.org/project/tensorflow_ranking) (πŸ“₯ 100K / month Β· πŸ“¦ 15 Β· ⏱️ 18.03.2024): ``` - conda install -c aibox recbole + pip install tensorflow_ranking ```
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TF Ranking (πŸ₯ˆ26 Β· ⭐ 2.7K) - Learning to Rank in TensorFlow. Apache-2 +
RecBole (πŸ₯‰25 Β· ⭐ 3.4K) - A unified, comprehensive and efficient recommendation library. MIT -- [GitHub](https://github.com/tensorflow/ranking) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 470 Β· πŸ“‹ 330 - 27% open Β· ⏱️ 18.03.2024): +- [GitHub](https://github.com/RUCAIBox/RecBole) (πŸ‘¨β€πŸ’» 74 Β· πŸ”€ 600 Β· πŸ“‹ 990 - 28% open Β· ⏱️ 05.09.2024): ``` - git clone https://github.com/tensorflow/ranking + git clone https://github.com/RUCAIBox/RecBole ``` -- [PyPi](https://pypi.org/project/tensorflow_ranking) (πŸ“₯ 99K / month Β· πŸ“¦ 15 Β· ⏱️ 18.03.2024): +- [PyPi](https://pypi.org/project/recbole) (πŸ“₯ 53K / month Β· πŸ“¦ 2 Β· ⏱️ 31.10.2023): ``` - pip install tensorflow_ranking + pip install recbole + ``` +- [Conda](https://anaconda.org/aibox/recbole) (πŸ“₯ 6.2K Β· ⏱️ 01.11.2023): + ``` + conda install -c aibox recbole ```
TF Recommenders (πŸ₯‰25 Β· ⭐ 1.8K) - TensorFlow Recommenders is a library for building.. Apache-2 @@ -5312,7 +5291,7 @@ _Libraries for building and evaluating recommendation systems._
Show 8 hidden projects... -- lightfm (πŸ₯ˆ29 Β· ⭐ 4.7K Β· πŸ’€) - A Python implementation of LightFM, a hybrid recommendation.. Apache-2 +- lightfm (πŸ₯ˆ28 Β· ⭐ 4.7K Β· πŸ’€) - A Python implementation of LightFM, a hybrid recommendation.. Apache-2 - lkpy (πŸ₯‰25 Β· ⭐ 260) - Python recommendation toolkit. MIT - tensorrec (πŸ₯‰21 Β· ⭐ 1.3K Β· πŸ’€) - A TensorFlow recommendation algorithm and framework in.. Apache-2 - fastFM (πŸ₯‰21 Β· ⭐ 1.1K Β· πŸ’€) - fastFM: A Library for Factorization Machines. BSD-3 @@ -5329,14 +5308,14 @@ _Libraries for building and evaluating recommendation systems._ _Libraries for encrypted and privacy-preserving machine learning using methods like federated learning & differential privacy._ -
PySyft (πŸ₯‡37 Β· ⭐ 9.4K) - Perform data science on data that remains in someone elses server. Apache-2 +
PySyft (πŸ₯‡37 Β· ⭐ 9.5K) - Perform data science on data that remains in someone elses server. Apache-2 -- [GitHub](https://github.com/OpenMined/PySyft) (πŸ‘¨β€πŸ’» 520 Β· πŸ”€ 2K Β· πŸ“₯ 2.5K Β· πŸ“¦ 1 Β· πŸ“‹ 3.4K - 1% open Β· ⏱️ 26.09.2024): +- [GitHub](https://github.com/OpenMined/PySyft) (πŸ‘¨β€πŸ’» 520 Β· πŸ”€ 2K Β· πŸ“₯ 2.5K Β· πŸ“¦ 1 Β· πŸ“‹ 3.4K - 1% open Β· ⏱️ 01.10.2024): ``` git clone https://github.com/OpenMined/PySyft ``` -- [PyPi](https://pypi.org/project/syft) (πŸ“₯ 14K / month Β· πŸ“¦ 3 Β· ⏱️ 15.09.2024): +- [PyPi](https://pypi.org/project/syft) (πŸ“₯ 15K / month Β· πŸ“¦ 3 Β· ⏱️ 15.09.2024): ``` pip install syft ``` @@ -5376,19 +5355,19 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l ``` git clone https://github.com/tensorflow/privacy ``` -- [PyPi](https://pypi.org/project/tensorflow-privacy) (πŸ“₯ 24K / month Β· πŸ“¦ 21 Β· ⏱️ 14.02.2024): +- [PyPi](https://pypi.org/project/tensorflow-privacy) (πŸ“₯ 25K / month Β· πŸ“¦ 21 Β· ⏱️ 14.02.2024): ``` pip install tensorflow-privacy ```
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CrypTen (πŸ₯‰25 Β· ⭐ 1.5K) - A framework for Privacy Preserving Machine Learning. MIT +
CrypTen (πŸ₯‰24 Β· ⭐ 1.5K) - A framework for Privacy Preserving Machine Learning. MIT -- [GitHub](https://github.com/facebookresearch/CrypTen) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 270 Β· πŸ“¦ 42 Β· πŸ“‹ 270 - 28% open Β· ⏱️ 18.07.2024): +- [GitHub](https://github.com/facebookresearch/CrypTen) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 270 Β· πŸ“¦ 44 Β· πŸ“‹ 270 - 28% open Β· ⏱️ 18.07.2024): ``` git clone https://github.com/facebookresearch/CrypTen ``` -- [PyPi](https://pypi.org/project/crypten) (πŸ“₯ 390 / month Β· πŸ“¦ 1 Β· ⏱️ 08.12.2022): +- [PyPi](https://pypi.org/project/crypten) (πŸ“₯ 410 / month Β· πŸ“¦ 1 Β· ⏱️ 08.12.2022): ``` pip install crypten ``` @@ -5400,7 +5379,7 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l ``` git clone https://github.com/tf-encrypted/tf-encrypted ``` -- [PyPi](https://pypi.org/project/tf-encrypted) (πŸ“₯ 520 / month Β· πŸ“¦ 9 Β· ⏱️ 16.11.2022): +- [PyPi](https://pypi.org/project/tf-encrypted) (πŸ“₯ 880 / month Β· πŸ“¦ 9 Β· ⏱️ 16.11.2022): ``` pip install tf-encrypted ``` @@ -5417,30 +5396,30 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l _Libraries to organize, track, and visualize machine learning experiments._ -
mlflow (πŸ₯‡44 Β· ⭐ 18K) - Open source platform for the machine learning lifecycle. Apache-2 +
mlflow (πŸ₯‡43 Β· ⭐ 18K Β· πŸ“‰) - Open source platform for the machine learning lifecycle. Apache-2 -- [GitHub](https://github.com/mlflow/mlflow) (πŸ‘¨β€πŸ’» 770 Β· πŸ”€ 4.2K Β· πŸ“¦ 43K Β· πŸ“‹ 4.2K - 38% open Β· ⏱️ 26.09.2024): +- [GitHub](https://github.com/mlflow/mlflow) (πŸ‘¨β€πŸ’» 780 Β· πŸ”€ 4.2K Β· πŸ“¦ 43K Β· πŸ“‹ 4.2K - 38% open Β· ⏱️ 03.10.2024): ``` git clone https://github.com/mlflow/mlflow ``` -- [PyPi](https://pypi.org/project/mlflow) (πŸ“₯ 15M / month Β· πŸ“¦ 870 Β· ⏱️ 17.09.2024): +- [PyPi](https://pypi.org/project/mlflow) (πŸ“₯ 14M / month Β· πŸ“¦ 870 Β· ⏱️ 27.09.2024): ``` pip install mlflow ``` -- [Conda](https://anaconda.org/conda-forge/mlflow) (πŸ“₯ 2.3M Β· ⏱️ 17.09.2024): +- [Conda](https://anaconda.org/conda-forge/mlflow) (πŸ“₯ 2.4M Β· ⏱️ 17.09.2024): ``` conda install -c conda-forge mlflow ```
DVC (πŸ₯‡42 Β· ⭐ 14K) - ML Experiments and Data Management with Git. Apache-2 -- [GitHub](https://github.com/iterative/dvc) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 1.2K Β· πŸ“¦ 18K Β· πŸ“‹ 4.7K - 4% open Β· ⏱️ 26.09.2024): +- [GitHub](https://github.com/iterative/dvc) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 1.2K Β· πŸ“¦ 18K Β· πŸ“‹ 4.7K - 4% open Β· ⏱️ 03.10.2024): ``` git clone https://github.com/iterative/dvc ``` -- [PyPi](https://pypi.org/project/dvc) (πŸ“₯ 610K / month Β· πŸ“¦ 130 Β· ⏱️ 02.09.2024): +- [PyPi](https://pypi.org/project/dvc) (πŸ“₯ 620K / month Β· πŸ“¦ 130 Β· ⏱️ 02.09.2024): ``` pip install dvc ``` @@ -5449,25 +5428,25 @@ _Libraries to organize, track, and visualize machine learning experiments._ conda install -c conda-forge dvc ```
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wandb client (πŸ₯‡42 Β· ⭐ 8.9K) - The AI developer platform. Use Weights & Biases to train and fine-.. MIT +
wandb client (πŸ₯‡42 Β· ⭐ 9K) - The AI developer platform. Use Weights & Biases to train and fine-.. MIT -- [GitHub](https://github.com/wandb/wandb) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 650 Β· πŸ“₯ 320 Β· πŸ“¦ 54K Β· πŸ“‹ 3.3K - 26% open Β· ⏱️ 26.09.2024): +- [GitHub](https://github.com/wandb/wandb) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 660 Β· πŸ“₯ 320 Β· πŸ“¦ 55K Β· πŸ“‹ 3.3K - 26% open Β· ⏱️ 02.10.2024): ``` git clone https://github.com/wandb/client ``` -- [PyPi](https://pypi.org/project/wandb) (πŸ“₯ 14M / month Β· πŸ“¦ 1.4K Β· ⏱️ 16.09.2024): +- [PyPi](https://pypi.org/project/wandb) (πŸ“₯ 17M / month Β· πŸ“¦ 1.4K Β· ⏱️ 01.10.2024): ``` pip install wandb ``` -- [Conda](https://anaconda.org/conda-forge/wandb) (πŸ“₯ 630K Β· ⏱️ 24.09.2024): +- [Conda](https://anaconda.org/conda-forge/wandb) (πŸ“₯ 640K Β· ⏱️ 24.09.2024): ``` conda install -c conda-forge wandb ```
Tensorboard (πŸ₯‡42 Β· ⭐ 6.7K) - TensorFlows Visualization Toolkit. Apache-2 -- [GitHub](https://github.com/tensorflow/tensorboard) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 1.6K Β· πŸ“¦ 260K Β· πŸ“‹ 1.9K - 35% open Β· ⏱️ 25.09.2024): +- [GitHub](https://github.com/tensorflow/tensorboard) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 1.7K Β· πŸ“¦ 260K Β· πŸ“‹ 1.9K - 35% open Β· ⏱️ 26.09.2024): ``` git clone https://github.com/tensorflow/tensorboard @@ -5476,14 +5455,14 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` pip install tensorboard ``` -- [Conda](https://anaconda.org/conda-forge/tensorboard) (πŸ“₯ 5M Β· ⏱️ 15.08.2024): +- [Conda](https://anaconda.org/conda-forge/tensorboard) (πŸ“₯ 5M Β· ⏱️ 27.09.2024): ``` conda install -c conda-forge tensorboard ```
SageMaker SDK (πŸ₯ˆ41 Β· ⭐ 2.1K) - A library for training and deploying machine learning.. Apache-2 -- [GitHub](https://github.com/aws/sagemaker-python-sdk) (πŸ‘¨β€πŸ’» 460 Β· πŸ”€ 1.1K Β· πŸ“¦ 4.4K Β· πŸ“‹ 1.5K - 20% open Β· ⏱️ 24.09.2024): +- [GitHub](https://github.com/aws/sagemaker-python-sdk) (πŸ‘¨β€πŸ’» 460 Β· πŸ”€ 1.1K Β· πŸ“¦ 4.5K Β· πŸ“‹ 1.5K - 20% open Β· ⏱️ 02.10.2024): ``` git clone https://github.com/aws/sagemaker-python-sdk @@ -5497,7 +5476,7 @@ _Libraries to organize, track, and visualize machine learning experiments._ conda install -c conda-forge sagemaker-python-sdk ```
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PyCaret (πŸ₯ˆ38 Β· ⭐ 8.8K) - An open-source, low-code machine learning library in Python. MIT +
PyCaret (πŸ₯ˆ37 Β· ⭐ 8.8K) - An open-source, low-code machine learning library in Python. MIT - [GitHub](https://github.com/pycaret/pycaret) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.7K Β· πŸ“₯ 710 Β· πŸ“¦ 6.4K Β· πŸ“‹ 2.3K - 15% open Β· ⏱️ 30.08.2024): @@ -5515,28 +5494,28 @@ _Libraries to organize, track, and visualize machine learning experiments._
Metaflow (πŸ₯ˆ34 Β· ⭐ 8.1K) - Open Source Platform for developing, scaling and deploying serious.. Apache-2 -- [GitHub](https://github.com/Netflix/metaflow) (πŸ‘¨β€πŸ’» 93 Β· πŸ”€ 750 Β· πŸ“¦ 720 Β· πŸ“‹ 740 - 43% open Β· ⏱️ 24.09.2024): +- [GitHub](https://github.com/Netflix/metaflow) (πŸ‘¨β€πŸ’» 95 Β· πŸ”€ 760 Β· πŸ“¦ 720 Β· πŸ“‹ 740 - 43% open Β· ⏱️ 01.10.2024): ``` git clone https://github.com/Netflix/metaflow ``` -- [PyPi](https://pypi.org/project/metaflow) (πŸ“₯ 940K / month Β· πŸ“¦ 45 Β· ⏱️ 20.09.2024): +- [PyPi](https://pypi.org/project/metaflow) (πŸ“₯ 920K / month Β· πŸ“¦ 45 Β· ⏱️ 01.10.2024): ``` pip install metaflow ``` -- [Conda](https://anaconda.org/conda-forge/metaflow) (πŸ“₯ 210K Β· ⏱️ 17.09.2024): +- [Conda](https://anaconda.org/conda-forge/metaflow) (πŸ“₯ 210K Β· ⏱️ 01.10.2024): ``` conda install -c conda-forge metaflow ```
ClearML (πŸ₯ˆ34 Β· ⭐ 5.6K) - ClearML - Auto-Magical CI/CD to streamline your AI workload... Apache-2 -- [GitHub](https://github.com/allegroai/clearml) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 650 Β· πŸ“₯ 2.9K Β· πŸ“¦ 1.3K Β· πŸ“‹ 1.1K - 46% open Β· ⏱️ 26.09.2024): +- [GitHub](https://github.com/allegroai/clearml) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 650 Β· πŸ“₯ 2.9K Β· πŸ“¦ 1.3K Β· πŸ“‹ 1.1K - 46% open Β· ⏱️ 29.09.2024): ``` git clone https://github.com/allegroai/clearml ``` -- [PyPi](https://pypi.org/project/clearml) (πŸ“₯ 340K / month Β· πŸ“¦ 40 Β· ⏱️ 23.09.2024): +- [PyPi](https://pypi.org/project/clearml) (πŸ“₯ 360K / month Β· πŸ“¦ 40 Β· ⏱️ 01.10.2024): ``` pip install clearml ``` @@ -5563,12 +5542,12 @@ _Libraries to organize, track, and visualize machine learning experiments._
tensorboardX (πŸ₯ˆ33 Β· ⭐ 7.9K Β· πŸ’€) - tensorboard for pytorch (and chainer, mxnet, numpy, ...). MIT -- [GitHub](https://github.com/lanpa/tensorboardX) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 860 Β· πŸ“₯ 450 Β· πŸ“¦ 48K Β· πŸ“‹ 460 - 17% open Β· ⏱️ 12.11.2023): +- [GitHub](https://github.com/lanpa/tensorboardX) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 860 Β· πŸ“₯ 450 Β· πŸ“¦ 49K Β· πŸ“‹ 460 - 17% open Β· ⏱️ 12.11.2023): ``` git clone https://github.com/lanpa/tensorboardX ``` -- [PyPi](https://pypi.org/project/tensorboardX) (πŸ“₯ 3.1M / month Β· πŸ“¦ 620 Β· ⏱️ 20.08.2023): +- [PyPi](https://pypi.org/project/tensorboardX) (πŸ“₯ 3.2M / month Β· πŸ“¦ 620 Β· ⏱️ 20.08.2023): ``` pip install tensorboardX ``` @@ -5577,14 +5556,14 @@ _Libraries to organize, track, and visualize machine learning experiments._ conda install -c conda-forge tensorboardx ```
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kaggle (πŸ₯ˆ32 Β· ⭐ 6.1K) - Official Kaggle API. Apache-2 +
kaggle (πŸ₯ˆ32 Β· ⭐ 6.2K) - Official Kaggle API. Apache-2 -- [GitHub](https://github.com/Kaggle/kaggle-api) (πŸ‘¨β€πŸ’» 47 Β· πŸ”€ 1.1K Β· πŸ“¦ 21 Β· πŸ“‹ 480 - 31% open Β· ⏱️ 25.09.2024): +- [GitHub](https://github.com/Kaggle/kaggle-api) (πŸ‘¨β€πŸ’» 47 Β· πŸ”€ 1.1K Β· πŸ“¦ 21 Β· πŸ“‹ 490 - 30% open Β· ⏱️ 02.10.2024): ``` git clone https://github.com/Kaggle/kaggle-api ``` -- [PyPi](https://pypi.org/project/kaggle) (πŸ“₯ 220K / month Β· πŸ“¦ 200 Β· ⏱️ 24.07.2024): +- [PyPi](https://pypi.org/project/kaggle) (πŸ“₯ 220K / month Β· πŸ“¦ 210 Β· ⏱️ 24.07.2024): ``` pip install kaggle ``` @@ -5595,16 +5574,16 @@ _Libraries to organize, track, and visualize machine learning experiments._
aim (πŸ₯ˆ32 Β· ⭐ 5.2K) - Aim An easy-to-use & supercharged open-source experiment tracker. Apache-2 -- [GitHub](https://github.com/aimhubio/aim) (πŸ‘¨β€πŸ’» 76 Β· πŸ”€ 320 Β· πŸ“¦ 680 Β· πŸ“‹ 1K - 36% open Β· ⏱️ 26.09.2024): +- [GitHub](https://github.com/aimhubio/aim) (πŸ‘¨β€πŸ’» 76 Β· πŸ”€ 320 Β· πŸ“¦ 690 Β· πŸ“‹ 1K - 36% open Β· ⏱️ 02.10.2024): ``` git clone https://github.com/aimhubio/aim ``` -- [PyPi](https://pypi.org/project/aim) (πŸ“₯ 150K / month Β· πŸ“¦ 38 Β· ⏱️ 02.09.2024): +- [PyPi](https://pypi.org/project/aim) (πŸ“₯ 170K / month Β· πŸ“¦ 38 Β· ⏱️ 02.10.2024): ``` pip install aim ``` -- [Conda](https://anaconda.org/conda-forge/aim) (πŸ“₯ 77K Β· ⏱️ 14.06.2024): +- [Conda](https://anaconda.org/conda-forge/aim) (πŸ“₯ 78K Β· ⏱️ 14.06.2024): ``` conda install -c conda-forge aim ``` @@ -5620,7 +5599,7 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` pip install sacred ``` -- [Conda](https://anaconda.org/conda-forge/sacred) (πŸ“₯ 6.5K Β· ⏱️ 28.11.2023): +- [Conda](https://anaconda.org/conda-forge/sacred) (πŸ“₯ 6.6K Β· ⏱️ 28.11.2023): ``` conda install -c conda-forge sacred ``` @@ -5637,34 +5616,22 @@ _Libraries to organize, track, and visualize machine learning experiments._ pip install azureml-sdk ```
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Neptune.ai (πŸ₯ˆ29 Β· ⭐ 570) - The experiment tracker for foundation model training. Apache-2 +
Neptune.ai (πŸ₯ˆ29 Β· ⭐ 580) - The experiment tracker for foundation model training. Apache-2 -- [GitHub](https://github.com/neptune-ai/neptune-client) (πŸ‘¨β€πŸ’» 54 Β· πŸ”€ 63 Β· πŸ“¦ 600 Β· πŸ“‹ 240 - 12% open Β· ⏱️ 26.09.2024): +- [GitHub](https://github.com/neptune-ai/neptune-client) (πŸ‘¨β€πŸ’» 54 Β· πŸ”€ 63 Β· πŸ“¦ 610 Β· πŸ“‹ 240 - 12% open Β· ⏱️ 26.09.2024): ``` git clone https://github.com/neptune-ai/neptune-client ``` -- [PyPi](https://pypi.org/project/neptune-client) (πŸ“₯ 500K / month Β· πŸ“¦ 77 Β· ⏱️ 20.08.2024): +- [PyPi](https://pypi.org/project/neptune-client) (πŸ“₯ 500K / month Β· πŸ“¦ 77 Β· ⏱️ 02.10.2024): ``` pip install neptune-client ``` -- [Conda](https://anaconda.org/conda-forge/neptune-client) (πŸ“₯ 280K Β· ⏱️ 20.08.2024): +- [Conda](https://anaconda.org/conda-forge/neptune-client) (πŸ“₯ 280K Β· ⏱️ 02.10.2024): ``` conda install -c conda-forge neptune-client ```
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VisualDL (πŸ₯‰27 Β· ⭐ 4.8K Β· πŸ’€) - Deep Learning Visualization Toolkit. Apache-2 - -- [GitHub](https://github.com/PaddlePaddle/VisualDL) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 630 Β· πŸ“₯ 450 Β· πŸ“¦ 2 Β· πŸ“‹ 500 - 28% open Β· ⏱️ 20.09.2023): - - ``` - git clone https://github.com/PaddlePaddle/VisualDL - ``` -- [PyPi](https://pypi.org/project/visualdl) (πŸ“₯ 160K / month Β· πŸ“¦ 82 Β· ⏱️ 05.06.2023): - ``` - pip install visualdl - ``` -
Labml (πŸ₯‰27 Β· ⭐ 2K) - Monitor deep learning model training and hardware usage from your mobile phone. MIT - [GitHub](https://github.com/labmlai/labml) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 140 Β· πŸ“¦ 170 Β· πŸ“‹ 47 - 10% open Β· ⏱️ 26.09.2024): @@ -5672,50 +5639,50 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/labmlai/labml ``` -- [PyPi](https://pypi.org/project/labml) (πŸ“₯ 4.4K / month Β· πŸ“¦ 14 Β· ⏱️ 15.09.2024): +- [PyPi](https://pypi.org/project/labml) (πŸ“₯ 5.9K / month Β· πŸ“¦ 14 Β· ⏱️ 15.09.2024): ``` pip install labml ```
TNT (πŸ₯‰26 Β· ⭐ 1.7K) - A lightweight library for PyTorch training tools and utilities. BSD-3 -- [GitHub](https://github.com/pytorch/tnt) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 270 Β· πŸ“‹ 140 - 54% open Β· ⏱️ 25.09.2024): +- [GitHub](https://github.com/pytorch/tnt) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 270 Β· πŸ“‹ 140 - 54% open Β· ⏱️ 02.10.2024): ``` git clone https://github.com/pytorch/tnt ``` -- [PyPi](https://pypi.org/project/torchnet) (πŸ“₯ 5.2K / month Β· πŸ“¦ 24 Β· ⏱️ 29.07.2018): +- [PyPi](https://pypi.org/project/torchnet) (πŸ“₯ 5.3K / month Β· πŸ“¦ 24 Β· ⏱️ 29.07.2018): ``` pip install torchnet ```
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quinn (πŸ₯‰26 Β· ⭐ 620) - pyspark methods to enhance developer productivity. Apache-2 +
quinn (πŸ₯‰26 Β· ⭐ 630) - pyspark methods to enhance developer productivity. Apache-2 -- [GitHub](https://github.com/mrpowers-io/quinn) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 96 Β· πŸ“₯ 39 Β· πŸ“¦ 84 Β· πŸ“‹ 130 - 26% open Β· ⏱️ 29.08.2024): +- [GitHub](https://github.com/mrpowers-io/quinn) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 96 Β· πŸ“₯ 39 Β· πŸ“¦ 84 Β· πŸ“‹ 130 - 26% open Β· ⏱️ 03.10.2024): ``` git clone https://github.com/MrPowers/quinn ``` -- [PyPi](https://pypi.org/project/quinn) (πŸ“₯ 650K / month Β· πŸ“¦ 7 Β· ⏱️ 13.02.2024): +- [PyPi](https://pypi.org/project/quinn) (πŸ“₯ 660K / month Β· πŸ“¦ 7 Β· ⏱️ 13.02.2024): ``` pip install quinn ```
ml-metadata (πŸ₯‰26 Β· ⭐ 620) - For recording and retrieving metadata associated with ML.. Apache-2 -- [GitHub](https://github.com/google/ml-metadata) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 140 Β· πŸ“₯ 2.7K Β· πŸ“¦ 560 Β· πŸ“‹ 120 - 36% open Β· ⏱️ 30.08.2024): +- [GitHub](https://github.com/google/ml-metadata) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 140 Β· πŸ“₯ 2.7K Β· πŸ“¦ 560 Β· πŸ“‹ 120 - 39% open Β· ⏱️ 01.10.2024): ``` git clone https://github.com/google/ml-metadata ``` -- [PyPi](https://pypi.org/project/ml-metadata) (πŸ“₯ 76K / month Β· πŸ“¦ 31 Β· ⏱️ 23.04.2024): +- [PyPi](https://pypi.org/project/ml-metadata) (πŸ“₯ 77K / month Β· πŸ“¦ 31 Β· ⏱️ 01.10.2024): ``` pip install ml-metadata ```
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gokart (πŸ₯‰25 Β· ⭐ 300) - Gokart solves reproducibility, task dependencies, constraints of good code,.. MIT +
gokart (πŸ₯‰25 Β· ⭐ 310) - Gokart solves reproducibility, task dependencies, constraints of good code,.. MIT -- [GitHub](https://github.com/m3dev/gokart) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 57 Β· πŸ“¦ 80 Β· πŸ“‹ 82 - 24% open Β· ⏱️ 19.09.2024): +- [GitHub](https://github.com/m3dev/gokart) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 57 Β· πŸ“¦ 80 Β· πŸ“‹ 83 - 24% open Β· ⏱️ 29.09.2024): ``` git clone https://github.com/m3dev/gokart @@ -5725,18 +5692,6 @@ _Libraries to organize, track, and visualize machine learning experiments._ pip install gokart ```
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Studio.ml (πŸ₯‰23 Β· ⭐ 380 Β· πŸ’€) - Studio: Simplify and expedite model building process. Apache-2 - -- [GitHub](https://github.com/studioml/studio) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 52 Β· πŸ“¦ 6 Β· πŸ“‹ 250 - 22% open Β· ⏱️ 06.09.2023): - - ``` - git clone https://github.com/studioml/studio - ``` -- [PyPi](https://pypi.org/project/studioml) (πŸ“₯ 2.1K / month Β· ⏱️ 14.09.2021): - ``` - pip install studioml - ``` -
caliban (πŸ₯‰16 Β· ⭐ 490 Β· πŸ’€) - Research workflows made easy, locally and in the Cloud. Apache-2 - [GitHub](https://github.com/google/caliban) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 66 Β· πŸ“¦ 3 Β· πŸ“‹ 34 - 55% open Β· ⏱️ 25.01.2024): @@ -5744,7 +5699,7 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/google/caliban ``` -- [PyPi](https://pypi.org/project/caliban) (πŸ“₯ 240 / month Β· ⏱️ 12.09.2020): +- [PyPi](https://pypi.org/project/caliban) (πŸ“₯ 330 / month Β· ⏱️ 12.09.2020): ``` pip install caliban ``` @@ -5756,7 +5711,7 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/comet-ml/examples ``` -- [PyPi](https://pypi.org/project/comet_ml) (πŸ“₯ 730K / month Β· πŸ“¦ 76 Β· ⏱️ 19.09.2024): +- [PyPi](https://pypi.org/project/comet_ml) (πŸ“₯ 600K / month Β· πŸ“¦ 77 Β· ⏱️ 26.09.2024): ``` pip install comet_ml ``` @@ -5765,21 +5720,23 @@ _Libraries to organize, track, and visualize machine learning experiments._ conda install -c anaconda comet_ml ```
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Show 16 hidden projects... +
Show 18 hidden projects... - Catalyst (πŸ₯ˆ28 Β· ⭐ 3.3K Β· πŸ’€) - Accelerated deep learning R&D. Apache-2 +- VisualDL (πŸ₯‰27 Β· ⭐ 4.8K Β· πŸ’€) - Deep Learning Visualization Toolkit. Apache-2 - knockknock (πŸ₯‰26 Β· ⭐ 2.8K Β· πŸ’€) - Knock Knock: Get notified when your training ends with only two.. MIT - livelossplot (πŸ₯‰25 Β· ⭐ 1.3K Β· πŸ’€) - Live training loss plot in Jupyter Notebook for Keras,.. MIT - SKLL (πŸ₯‰25 Β· ⭐ 550) - SciKit-Learn Laboratory (SKLL) makes it easy to run machine.. ❗️BSD-1-Clause - Guild AI (πŸ₯‰23 Β· ⭐ 870 Β· πŸ’€) - Experiment tracking, ML developer tools. Apache-2 - hiddenlayer (πŸ₯‰22 Β· ⭐ 1.8K Β· πŸ’€) - Neural network graphs and training metrics for.. MIT +- Studio.ml (πŸ₯‰22 Β· ⭐ 380 Β· πŸ’€) - Studio: Simplify and expedite model building process. Apache-2 - lore (πŸ₯‰21 Β· ⭐ 1.6K Β· πŸ’€) - Lore makes machine learning approachable for Software Engineers and.. MIT - TensorBoard Logger (πŸ₯‰21 Β· ⭐ 630 Β· πŸ’€) - Log TensorBoard events without touching TensorFlow. MIT - TensorWatch (πŸ₯‰20 Β· ⭐ 3.4K Β· πŸ’€) - Debugging, monitoring and visualization for Python Machine.. MIT - MXBoard (πŸ₯‰20 Β· ⭐ 320 Β· πŸ’€) - Logging MXNet data for visualization in TensorBoard. Apache-2 - keepsake (πŸ₯‰19 Β· ⭐ 1.6K Β· πŸ’€) - Version control for machine learning. Apache-2 - datmo (πŸ₯‰18 Β· ⭐ 340 Β· πŸ’€) - Open source production model management tool for data scientists. MIT -- chitra (πŸ₯‰18 Β· ⭐ 220) - A multi-functional library for full-stack Deep Learning. Simplifies.. Apache-2 +- chitra (πŸ₯‰17 Β· ⭐ 220) - A multi-functional library for full-stack Deep Learning. Simplifies.. Apache-2 - steppy (πŸ₯‰17 Β· ⭐ 130 Β· πŸ’€) - Lightweight, Python library for fast and reproducible experimentation. MIT - ModelChimp (πŸ₯‰13 Β· ⭐ 130 Β· πŸ’€) - Experiment tracking for machine and deep learning projects. BSD-2 - traintool (πŸ₯‰9 Β· ⭐ 12 Β· πŸ’€) - Train off-the-shelf machine learning models in one.. Apache-2 @@ -5794,35 +5751,35 @@ _Libraries to serialize models to files, convert between a variety of model form
onnx (πŸ₯‡43 Β· ⭐ 18K) - Open standard for machine learning interoperability. Apache-2 -- [GitHub](https://github.com/onnx/onnx) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 3.7K Β· πŸ“₯ 22K Β· πŸ“¦ 34K Β· πŸ“‹ 2.8K - 11% open Β· ⏱️ 25.09.2024): +- [GitHub](https://github.com/onnx/onnx) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 3.7K Β· πŸ“₯ 22K Β· πŸ“¦ 34K Β· πŸ“‹ 2.9K - 11% open Β· ⏱️ 02.10.2024): ``` git clone https://github.com/onnx/onnx ``` -- [PyPi](https://pypi.org/project/onnx) (πŸ“₯ 5.4M / month Β· πŸ“¦ 1K Β· ⏱️ 01.08.2024): +- [PyPi](https://pypi.org/project/onnx) (πŸ“₯ 5.4M / month Β· πŸ“¦ 1K Β· ⏱️ 01.10.2024): ``` pip install onnx ``` -- [Conda](https://anaconda.org/conda-forge/onnx) (πŸ“₯ 1.2M Β· ⏱️ 25.09.2024): +- [Conda](https://anaconda.org/conda-forge/onnx) (πŸ“₯ 1.3M Β· ⏱️ 25.09.2024): ``` conda install -c conda-forge onnx ```
triton (πŸ₯‡43 Β· ⭐ 13K) - Development repository for the Triton language and compiler. MIT -- [GitHub](https://github.com/triton-lang/triton) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 1.5K Β· πŸ“¦ 38K Β· πŸ“‹ 1.4K - 45% open Β· ⏱️ 26.09.2024): +- [GitHub](https://github.com/triton-lang/triton) (πŸ‘¨β€πŸ’» 330 Β· πŸ”€ 1.6K Β· πŸ“¦ 38K Β· πŸ“‹ 1.4K - 45% open Β· ⏱️ 03.10.2024): ``` git clone https://github.com/openai/triton ``` -- [PyPi](https://pypi.org/project/triton) (πŸ“₯ 15M / month Β· πŸ“¦ 240 Β· ⏱️ 09.07.2024): +- [PyPi](https://pypi.org/project/triton) (πŸ“₯ 15M / month Β· πŸ“¦ 250 Β· ⏱️ 09.07.2024): ``` pip install triton ```
huggingface_hub (πŸ₯ˆ38 Β· ⭐ 2K) - The official Python client for the Huggingface Hub. Apache-2 -- [GitHub](https://github.com/huggingface/huggingface_hub) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 520 Β· πŸ“‹ 950 - 16% open Β· ⏱️ 26.09.2024): +- [GitHub](https://github.com/huggingface/huggingface_hub) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 530 Β· πŸ“‹ 960 - 16% open Β· ⏱️ 03.10.2024): ``` git clone https://github.com/huggingface/huggingface_hub @@ -5838,7 +5795,7 @@ _Libraries to serialize models to files, convert between a variety of model form
BentoML (πŸ₯ˆ35 Β· ⭐ 7K) - The easiest way to serve AI apps and models - Build reliable Inference.. Apache-2 -- [GitHub](https://github.com/bentoml/BentoML) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 780 Β· πŸ“₯ 1.2K Β· πŸ“¦ 2.1K Β· πŸ“‹ 1.1K - 15% open Β· ⏱️ 26.09.2024): +- [GitHub](https://github.com/bentoml/BentoML) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 780 Β· πŸ“₯ 1.2K Β· πŸ“¦ 2.1K Β· πŸ“‹ 1.1K - 15% open Β· ⏱️ 30.09.2024): ``` git clone https://github.com/bentoml/BentoML @@ -5848,82 +5805,82 @@ _Libraries to serialize models to files, convert between a variety of model form pip install bentoml ```
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Core ML Tools (πŸ₯ˆ35 Β· ⭐ 4.3K) - Core ML tools contain supporting tools for Core ML model.. BSD-3 +
TorchServe (πŸ₯ˆ35 Β· ⭐ 4.2K) - Serve, optimize and scale PyTorch models in production. Apache-2 -- [GitHub](https://github.com/apple/coremltools) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 630 Β· πŸ“₯ 12K Β· πŸ“¦ 4.1K Β· πŸ“‹ 1.4K - 24% open Β· ⏱️ 23.09.2024): +- [GitHub](https://github.com/pytorch/serve) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 850 Β· πŸ“₯ 6.6K Β· πŸ“¦ 720 Β· πŸ“‹ 1.7K - 24% open Β· ⏱️ 24.09.2024): ``` - git clone https://github.com/apple/coremltools + git clone https://github.com/pytorch/serve ``` -- [PyPi](https://pypi.org/project/coremltools) (πŸ“₯ 440K / month Β· πŸ“¦ 81 Β· ⏱️ 16.09.2024): +- [PyPi](https://pypi.org/project/torchserve) (πŸ“₯ 52K / month Β· πŸ“¦ 22 Β· ⏱️ 30.09.2024): ``` - pip install coremltools + pip install torchserve ``` -- [Conda](https://anaconda.org/conda-forge/coremltools) (πŸ“₯ 70K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/pytorch/torchserve) (πŸ“₯ 270K Β· ⏱️ 30.09.2024): ``` - conda install -c conda-forge coremltools + conda install -c pytorch torchserve + ``` +- [Docker Hub](https://hub.docker.com/r/pytorch/torchserve) (πŸ“₯ 1.3M Β· ⭐ 28 Β· ⏱️ 30.09.2024): + ``` + docker pull pytorch/torchserve ```
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TorchServe (πŸ₯ˆ35 Β· ⭐ 4.2K) - Serve, optimize and scale PyTorch models in production. Apache-2 +
Core ML Tools (πŸ₯ˆ34 Β· ⭐ 4.4K) - Core ML tools contain supporting tools for Core ML model.. BSD-3 -- [GitHub](https://github.com/pytorch/serve) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 840 Β· πŸ“₯ 6.6K Β· πŸ“¦ 720 Β· πŸ“‹ 1.7K - 24% open Β· ⏱️ 24.09.2024): +- [GitHub](https://github.com/apple/coremltools) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 630 Β· πŸ“₯ 12K Β· πŸ“¦ 4.2K Β· πŸ“‹ 1.4K - 24% open Β· ⏱️ 23.09.2024): ``` - git clone https://github.com/pytorch/serve - ``` -- [PyPi](https://pypi.org/project/torchserve) (πŸ“₯ 52K / month Β· πŸ“¦ 22 Β· ⏱️ 18.07.2024): - ``` - pip install torchserve + git clone https://github.com/apple/coremltools ``` -- [Conda](https://anaconda.org/pytorch/torchserve) (πŸ“₯ 260K Β· ⏱️ 18.07.2024): +- [PyPi](https://pypi.org/project/coremltools) (πŸ“₯ 370K / month Β· πŸ“¦ 81 Β· ⏱️ 16.09.2024): ``` - conda install -c pytorch torchserve + pip install coremltools ``` -- [Docker Hub](https://hub.docker.com/r/pytorch/torchserve) (πŸ“₯ 1.3M Β· ⭐ 28 Β· ⏱️ 18.07.2024): +- [Conda](https://anaconda.org/conda-forge/coremltools) (πŸ“₯ 70K Β· ⏱️ 16.06.2023): ``` - docker pull pytorch/torchserve + conda install -c conda-forge coremltools ```
hls4ml (πŸ₯ˆ26 Β· ⭐ 1.2K) - Machine learning on FPGAs using HLS. Apache-2 -- [GitHub](https://github.com/fastmachinelearning/hls4ml) (πŸ‘¨β€πŸ’» 62 Β· πŸ”€ 390 Β· πŸ“‹ 430 - 40% open Β· ⏱️ 13.09.2024): +- [GitHub](https://github.com/fastmachinelearning/hls4ml) (πŸ‘¨β€πŸ’» 62 Β· πŸ”€ 390 Β· πŸ“‹ 430 - 40% open Β· ⏱️ 02.10.2024): ``` git clone https://github.com/fastmachinelearning/hls4ml ``` -- [PyPi](https://pypi.org/project/hls4ml) (πŸ“₯ 990 / month Β· ⏱️ 19.12.2023): +- [PyPi](https://pypi.org/project/hls4ml) (πŸ“₯ 1.1K / month Β· ⏱️ 19.12.2023): ``` pip install hls4ml ``` -- [Conda](https://anaconda.org/conda-forge/hls4ml) (πŸ“₯ 8.6K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/hls4ml) (πŸ“₯ 8.7K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge hls4ml ```
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Hummingbird (πŸ₯‰24 Β· ⭐ 3.3K) - Hummingbird compiles trained ML models into tensor computation for.. MIT +
Hummingbird (πŸ₯‰25 Β· ⭐ 3.3K) - Hummingbird compiles trained ML models into tensor computation for.. MIT -- [GitHub](https://github.com/microsoft/hummingbird) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 280 Β· πŸ“₯ 690 Β· πŸ“‹ 330 - 21% open Β· ⏱️ 12.08.2024): +- [GitHub](https://github.com/microsoft/hummingbird) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 280 Β· πŸ“₯ 690 Β· πŸ“‹ 330 - 21% open Β· ⏱️ 27.09.2024): ``` git clone https://github.com/microsoft/hummingbird ``` -- [PyPi](https://pypi.org/project/hummingbird-ml) (πŸ“₯ 6.6K / month Β· πŸ“¦ 7 Β· ⏱️ 08.03.2024): +- [PyPi](https://pypi.org/project/hummingbird-ml) (πŸ“₯ 7.3K / month Β· πŸ“¦ 7 Β· ⏱️ 08.03.2024): ``` pip install hummingbird-ml ``` -- [Conda](https://anaconda.org/conda-forge/hummingbird-ml) (πŸ“₯ 48K Β· ⏱️ 08.03.2024): +- [Conda](https://anaconda.org/conda-forge/hummingbird-ml) (πŸ“₯ 49K Β· ⏱️ 08.03.2024): ``` conda install -c conda-forge hummingbird-ml ```
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nebullvm (πŸ₯‰23 Β· ⭐ 8.4K) - A collection of libraries to optimise AI model performances. Apache-2 +
nebullvm (πŸ₯‰21 Β· ⭐ 8.4K Β· πŸ“‰) - A collection of libraries to optimise AI model performances. Apache-2 - [GitHub](https://github.com/nebuly-ai/optimate) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 640 Β· πŸ“‹ 200 - 49% open Β· ⏱️ 22.07.2024): ``` git clone https://github.com/nebuly-ai/nebullvm ``` -- [PyPi](https://pypi.org/project/nebullvm) (πŸ“₯ 1.2K / month Β· πŸ“¦ 2 Β· ⏱️ 18.06.2023): +- [PyPi](https://pypi.org/project/nebullvm) (πŸ“₯ 1.1K / month Β· πŸ“¦ 2 Β· ⏱️ 18.06.2023): ``` pip install nebullvm ``` @@ -5935,7 +5892,7 @@ _Libraries to serialize models to files, convert between a variety of model form ``` git clone https://github.com/riga/tfdeploy ``` -- [PyPi](https://pypi.org/project/tfdeploy) (πŸ“₯ 200 / month Β· ⏱️ 30.03.2017): +- [PyPi](https://pypi.org/project/tfdeploy) (πŸ“₯ 280 / month Β· ⏱️ 30.03.2017): ``` pip install tfdeploy ``` @@ -5949,8 +5906,8 @@ _Libraries to serialize models to files, convert between a variety of model form - OMLT (πŸ₯‰21 Β· ⭐ 270) - Represent trained machine learning models as Pyomo optimization.. ❗Unlicensed - Larq Compute Engine (πŸ₯‰21 Β· ⭐ 240) - Highly optimized inference engine for Binarized.. Apache-2 - pytorch2keras (πŸ₯‰19 Β· ⭐ 860 Β· πŸ’€) - PyTorch to Keras model convertor. MIT -- modelkit (πŸ₯‰17 Β· ⭐ 150) - Toolkit for developing and maintaining ML models. MIT -- backprop (πŸ₯‰16 Β· ⭐ 240 Β· πŸ’€) - Backprop makes it simple to use, finetune, and deploy state-of-.. Apache-2 +- modelkit (πŸ₯‰17 Β· ⭐ 160) - Toolkit for developing and maintaining ML models. MIT +- backprop (πŸ₯‰15 Β· ⭐ 240 Β· πŸ’€) - Backprop makes it simple to use, finetune, and deploy state-of-.. Apache-2 - ml-ane-transformers (πŸ₯‰13 Β· ⭐ 2.5K Β· πŸ’€) - Reference implementation of the Transformer.. ❗Unlicensed

@@ -5963,77 +5920,77 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
shap (πŸ₯‡43 Β· ⭐ 23K) - A game theoretic approach to explain the output of any machine learning model. MIT -- [GitHub](https://github.com/shap/shap) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 3.3K Β· πŸ“¦ 20K Β· πŸ“‹ 2.5K - 29% open Β· ⏱️ 24.09.2024): +- [GitHub](https://github.com/shap/shap) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 3.3K Β· πŸ“¦ 21K Β· πŸ“‹ 2.5K - 29% open Β· ⏱️ 24.09.2024): ``` git clone https://github.com/slundberg/shap ``` -- [PyPi](https://pypi.org/project/shap) (πŸ“₯ 6.6M / month Β· πŸ“¦ 750 Β· ⏱️ 27.06.2024): +- [PyPi](https://pypi.org/project/shap) (πŸ“₯ 6.7M / month Β· πŸ“¦ 750 Β· ⏱️ 27.06.2024): ``` pip install shap ``` -- [Conda](https://anaconda.org/conda-forge/shap) (πŸ“₯ 3.9M Β· ⏱️ 08.05.2024): +- [Conda](https://anaconda.org/conda-forge/shap) (πŸ“₯ 4M Β· ⏱️ 08.05.2024): ``` conda install -c conda-forge shap ```
Netron (πŸ₯‡37 Β· ⭐ 28K) - Visualizer for neural network, deep learning and machine learning.. MIT -- [GitHub](https://github.com/lutzroeder/netron) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 2.7K Β· πŸ“₯ 62K Β· πŸ“¦ 570 Β· πŸ“‹ 1.1K - 1% open Β· ⏱️ 26.09.2024): +- [GitHub](https://github.com/lutzroeder/netron) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 2.8K Β· πŸ“₯ 68K Β· πŸ“¦ 570 Β· πŸ“‹ 1.1K - 2% open Β· ⏱️ 03.10.2024): ``` git clone https://github.com/lutzroeder/netron ``` -- [PyPi](https://pypi.org/project/netron) (πŸ“₯ 37K / month Β· πŸ“¦ 83 Β· ⏱️ 21.09.2024): +- [PyPi](https://pypi.org/project/netron) (πŸ“₯ 35K / month Β· πŸ“¦ 83 Β· ⏱️ 29.09.2024): ``` pip install netron ```
arviz (πŸ₯‡36 Β· ⭐ 1.6K) - Exploratory analysis of Bayesian models with Python. Apache-2 -- [GitHub](https://github.com/arviz-devs/arviz) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 390 Β· πŸ“₯ 160 Β· πŸ“¦ 7.6K Β· πŸ“‹ 860 - 20% open Β· ⏱️ 25.09.2024): +- [GitHub](https://github.com/arviz-devs/arviz) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 390 Β· πŸ“₯ 160 Β· πŸ“¦ 7.7K Β· πŸ“‹ 860 - 20% open Β· ⏱️ 28.09.2024): ``` git clone https://github.com/arviz-devs/arviz ``` -- [PyPi](https://pypi.org/project/arviz) (πŸ“₯ 1.6M / month Β· πŸ“¦ 290 Β· ⏱️ 19.07.2024): +- [PyPi](https://pypi.org/project/arviz) (πŸ“₯ 1.7M / month Β· πŸ“¦ 310 Β· ⏱️ 28.09.2024): ``` pip install arviz ``` -- [Conda](https://anaconda.org/conda-forge/arviz) (πŸ“₯ 2.2M Β· ⏱️ 20.07.2024): +- [Conda](https://anaconda.org/conda-forge/arviz) (πŸ“₯ 2.2M Β· ⏱️ 29.09.2024): ``` conda install -c conda-forge arviz ```
InterpretML (πŸ₯‡33 Β· ⭐ 6.2K) - Fit interpretable models. Explain blackbox machine learning. MIT -- [GitHub](https://github.com/interpretml/interpret) (πŸ‘¨β€πŸ’» 46 Β· πŸ”€ 730 Β· πŸ“¦ 740 Β· πŸ“‹ 440 - 23% open Β· ⏱️ 26.09.2024): +- [GitHub](https://github.com/interpretml/interpret) (πŸ‘¨β€πŸ’» 46 Β· πŸ”€ 720 Β· πŸ“¦ 750 Β· πŸ“‹ 450 - 23% open Β· ⏱️ 30.09.2024): ``` git clone https://github.com/interpretml/interpret ``` -- [PyPi](https://pypi.org/project/interpret) (πŸ“₯ 94K / month Β· πŸ“¦ 49 Β· ⏱️ 07.08.2024): +- [PyPi](https://pypi.org/project/interpret) (πŸ“₯ 95K / month Β· πŸ“¦ 49 Β· ⏱️ 28.09.2024): ``` pip install interpret ```
Captum (πŸ₯‡33 Β· ⭐ 4.8K) - Model interpretability and understanding for PyTorch. BSD-3 -- [GitHub](https://github.com/pytorch/captum) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 480 Β· πŸ“¦ 2.4K Β· πŸ“‹ 570 - 40% open Β· ⏱️ 25.09.2024): +- [GitHub](https://github.com/pytorch/captum) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 480 Β· πŸ“¦ 2.4K Β· πŸ“‹ 540 - 37% open Β· ⏱️ 26.09.2024): ``` git clone https://github.com/pytorch/captum ``` -- [PyPi](https://pypi.org/project/captum) (πŸ“₯ 260K / month Β· πŸ“¦ 130 Β· ⏱️ 05.12.2023): +- [PyPi](https://pypi.org/project/captum) (πŸ“₯ 260K / month): ``` pip install captum ``` -- [Conda](https://anaconda.org/conda-forge/captum) (πŸ“₯ 67K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/captum) (πŸ“₯ 70K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge captum ```
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evaluate (πŸ₯ˆ32 Β· ⭐ 2K) - Evaluate: A library for easily evaluating machine learning models and.. Apache-2 +
evaluate (πŸ₯‡32 Β· ⭐ 2K) - Evaluate: A library for easily evaluating machine learning models and.. Apache-2 - [GitHub](https://github.com/huggingface/evaluate) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 250 Β· πŸ“¦ 13K Β· πŸ“‹ 350 - 59% open Β· ⏱️ 17.09.2024): @@ -6052,57 +6009,41 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/MAIF/shapash ``` -- [PyPi](https://pypi.org/project/shapash) (πŸ“₯ 17K / month Β· πŸ“¦ 4 Β· ⏱️ 04.07.2024): +- [PyPi](https://pypi.org/project/shapash) (πŸ“₯ 26K / month Β· πŸ“¦ 4 Β· ⏱️ 04.07.2024): ``` pip install shapash ```
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explainerdashboard (πŸ₯ˆ30 Β· ⭐ 2.3K) - Quickly build Explainable AI dashboards that show the inner.. MIT - -- [GitHub](https://github.com/oegedijk/explainerdashboard) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 330 Β· πŸ“¦ 540 Β· πŸ“‹ 240 - 14% open Β· ⏱️ 20.06.2024): - - ``` - git clone https://github.com/oegedijk/explainerdashboard - ``` -- [PyPi](https://pypi.org/project/explainerdashboard) (πŸ“₯ 86K / month Β· πŸ“¦ 10 Β· ⏱️ 18.03.2024): - ``` - pip install explainerdashboard - ``` -- [Conda](https://anaconda.org/conda-forge/explainerdashboard) (πŸ“₯ 53K Β· ⏱️ 18.03.2024): - ``` - conda install -c conda-forge explainerdashboard - ``` -
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pyLDAvis (πŸ₯ˆ30 Β· ⭐ 1.8K) - Python library for interactive topic model visualization. Port of.. BSD-3 +
DoWhy (πŸ₯ˆ29 Β· ⭐ 7K) - DoWhy is a Python library for causal inference that supports explicit modeling.. MIT -- [GitHub](https://github.com/bmabey/pyLDAvis) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 360 Β· πŸ“¦ 6.4K Β· πŸ“‹ 190 - 40% open Β· ⏱️ 29.04.2024): +- [GitHub](https://github.com/py-why/dowhy) (πŸ‘¨β€πŸ’» 92 Β· πŸ”€ 910 Β· πŸ“₯ 40 Β· πŸ“¦ 430 Β· πŸ“‹ 480 - 27% open Β· ⏱️ 03.10.2024): ``` - git clone https://github.com/bmabey/pyLDAvis + git clone https://github.com/py-why/dowhy ``` -- [PyPi](https://pypi.org/project/pyldavis) (πŸ“₯ 130K / month Β· πŸ“¦ 100 Β· ⏱️ 23.04.2023): +- [PyPi](https://pypi.org/project/dowhy) (πŸ“₯ 54K / month Β· πŸ“¦ 7 Β· ⏱️ 25.12.2023): ``` - pip install pyldavis + pip install dowhy ``` -- [Conda](https://anaconda.org/conda-forge/pyldavis) (πŸ“₯ 86K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/dowhy): ``` - conda install -c conda-forge pyldavis + conda install -c conda-forge dowhy ```
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DoWhy (πŸ₯ˆ29 Β· ⭐ 7K) - DoWhy is a Python library for causal inference that supports explicit modeling.. MIT +
explainerdashboard (πŸ₯ˆ29 Β· ⭐ 2.3K) - Quickly build Explainable AI dashboards that show the inner.. MIT -- [GitHub](https://github.com/py-why/dowhy) (πŸ‘¨β€πŸ’» 92 Β· πŸ”€ 910 Β· πŸ“₯ 40 Β· πŸ“¦ 420 Β· πŸ“‹ 480 - 28% open Β· ⏱️ 04.08.2024): +- [GitHub](https://github.com/oegedijk/explainerdashboard) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 330 Β· πŸ“¦ 540 Β· πŸ“‹ 240 - 14% open Β· ⏱️ 20.06.2024): ``` - git clone https://github.com/py-why/dowhy + git clone https://github.com/oegedijk/explainerdashboard ``` -- [PyPi](https://pypi.org/project/dowhy) (πŸ“₯ 51K / month Β· πŸ“¦ 7 Β· ⏱️ 25.12.2023): +- [PyPi](https://pypi.org/project/explainerdashboard) (πŸ“₯ 82K / month Β· πŸ“¦ 10 Β· ⏱️ 18.03.2024): ``` - pip install dowhy + pip install explainerdashboard ``` -- [Conda](https://anaconda.org/conda-forge/dowhy) (πŸ“₯ 32K Β· ⏱️ 26.01.2024): +- [Conda](https://anaconda.org/conda-forge/explainerdashboard) (πŸ“₯ 53K Β· ⏱️ 18.03.2024): ``` - conda install -c conda-forge dowhy + conda install -c conda-forge explainerdashboard ```
fairlearn (πŸ₯ˆ29 Β· ⭐ 1.9K) - A Python package to assess and improve fairness of machine.. MIT @@ -6112,7 +6053,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/fairlearn/fairlearn ``` -- [PyPi](https://pypi.org/project/fairlearn) (πŸ“₯ 180K / month Β· πŸ“¦ 55 Β· ⏱️ 19.12.2023): +- [PyPi](https://pypi.org/project/fairlearn) (πŸ“₯ 170K / month Β· πŸ“¦ 55 Β· ⏱️ 19.12.2023): ``` pip install fairlearn ``` @@ -6121,16 +6062,20 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin conda install -c conda-forge fairlearn ```
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Model Analysis (πŸ₯ˆ29 Β· ⭐ 1.3K) - Model analysis tools for TensorFlow. Apache-2 +
pyLDAvis (πŸ₯ˆ29 Β· ⭐ 1.8K) - Python library for interactive topic model visualization. Port of.. BSD-3 -- [GitHub](https://github.com/tensorflow/model-analysis) (πŸ‘¨β€πŸ’» 57 Β· πŸ”€ 270 Β· πŸ“‹ 88 - 37% open Β· ⏱️ 30.08.2024): +- [GitHub](https://github.com/bmabey/pyLDAvis) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 360 Β· πŸ“¦ 6.5K Β· πŸ“‹ 190 - 40% open Β· ⏱️ 29.04.2024): ``` - git clone https://github.com/tensorflow/model-analysis + git clone https://github.com/bmabey/pyLDAvis ``` -- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (πŸ“₯ 240K / month Β· πŸ“¦ 19 Β· ⏱️ 25.04.2024): +- [PyPi](https://pypi.org/project/pyldavis) (πŸ“₯ 130K / month Β· πŸ“¦ 100 Β· ⏱️ 23.04.2023): ``` - pip install tensorflow-model-analysis + pip install pyldavis + ``` +- [Conda](https://anaconda.org/conda-forge/pyldavis) (πŸ“₯ 86K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge pyldavis ```
dtreeviz (πŸ₯ˆ28 Β· ⭐ 2.9K) - A python library for decision tree visualization and model interpretation. MIT @@ -6140,53 +6085,65 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/parrt/dtreeviz ``` -- [PyPi](https://pypi.org/project/dtreeviz) (πŸ“₯ 120K / month Β· πŸ“¦ 53 Β· ⏱️ 07.07.2022): +- [PyPi](https://pypi.org/project/dtreeviz) (πŸ“₯ 120K / month Β· πŸ“¦ 53 Β· ⏱️ 07.07.2022): + ``` + pip install dtreeviz + ``` +- [Conda](https://anaconda.org/conda-forge/dtreeviz) (πŸ“₯ 84K Β· ⏱️ 13.07.2023): + ``` + conda install -c conda-forge dtreeviz + ``` +
+
Model Analysis (πŸ₯ˆ28 Β· ⭐ 1.3K) - Model analysis tools for TensorFlow. Apache-2 + +- [GitHub](https://github.com/tensorflow/model-analysis) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 270 Β· πŸ“‹ 88 - 37% open Β· ⏱️ 01.10.2024): + ``` - pip install dtreeviz + git clone https://github.com/tensorflow/model-analysis ``` -- [Conda](https://anaconda.org/conda-forge/dtreeviz) (πŸ“₯ 83K Β· ⏱️ 13.07.2023): +- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (πŸ“₯ 220K / month Β· πŸ“¦ 19 Β· ⏱️ 25.04.2024): ``` - conda install -c conda-forge dtreeviz + pip install tensorflow-model-analysis ```
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Fairness 360 (πŸ₯ˆ27 Β· ⭐ 2.4K) - A comprehensive set of fairness metrics for datasets and.. Apache-2 +
Fairness 360 (πŸ₯ˆ26 Β· ⭐ 2.4K) - A comprehensive set of fairness metrics for datasets and.. Apache-2 - [GitHub](https://github.com/Trusted-AI/AIF360) (πŸ‘¨β€πŸ’» 73 Β· πŸ”€ 830 Β· πŸ“¦ 490 Β· πŸ“‹ 300 - 65% open Β· ⏱️ 05.07.2024): ``` git clone https://github.com/Trusted-AI/AIF360 ``` -- [PyPi](https://pypi.org/project/aif360) (πŸ“₯ 33K / month Β· πŸ“¦ 32 Β· ⏱️ 08.04.2024): +- [PyPi](https://pypi.org/project/aif360) (πŸ“₯ 34K / month Β· πŸ“¦ 32 Β· ⏱️ 08.04.2024): ``` pip install aif360 ``` -- [Conda](https://anaconda.org/conda-forge/aif360) (πŸ“₯ 14K Β· ⏱️ 09.04.2024): +- [Conda](https://anaconda.org/conda-forge/aif360) (πŸ“₯ 15K Β· ⏱️ 09.04.2024): ``` conda install -c conda-forge aif360 ```
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responsible-ai-widgets (πŸ₯ˆ27 Β· ⭐ 1.3K) - Responsible AI Toolbox is a suite of tools providing.. MIT +
imodels (πŸ₯ˆ26 Β· ⭐ 1.4K) - Interpretable ML package for concise, transparent, and accurate.. MIT -- [GitHub](https://github.com/microsoft/responsible-ai-toolbox) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 340 Β· πŸ“‹ 320 - 27% open Β· ⏱️ 07.08.2024): +- [GitHub](https://github.com/csinva/imodels) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 120 Β· πŸ“¦ 100 Β· πŸ“‹ 92 - 39% open Β· ⏱️ 21.09.2024): ``` - git clone https://github.com/microsoft/responsible-ai-toolbox + git clone https://github.com/csinva/imodels ``` -- [PyPi](https://pypi.org/project/raiwidgets) (πŸ“₯ 11K / month Β· πŸ“¦ 6 Β· ⏱️ 08.07.2024): +- [PyPi](https://pypi.org/project/imodels) (πŸ“₯ 40K / month Β· πŸ“¦ 9 Β· ⏱️ 02.07.2024): ``` - pip install raiwidgets + pip install imodels ```
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imodels (πŸ₯ˆ26 Β· ⭐ 1.4K) - Interpretable ML package for concise, transparent, and accurate.. MIT +
responsible-ai-widgets (πŸ₯ˆ26 Β· ⭐ 1.3K) - Responsible AI Toolbox is a suite of tools providing.. MIT -- [GitHub](https://github.com/csinva/imodels) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 120 Β· πŸ“¦ 100 Β· πŸ“‹ 92 - 39% open Β· ⏱️ 21.09.2024): +- [GitHub](https://github.com/microsoft/responsible-ai-toolbox) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 340 Β· πŸ“‹ 320 - 27% open Β· ⏱️ 07.08.2024): ``` - git clone https://github.com/csinva/imodels + git clone https://github.com/microsoft/responsible-ai-toolbox ``` -- [PyPi](https://pypi.org/project/imodels) (πŸ“₯ 32K / month Β· πŸ“¦ 9 Β· ⏱️ 02.07.2024): +- [PyPi](https://pypi.org/project/raiwidgets) (πŸ“₯ 10K / month Β· πŸ“¦ 6 Β· ⏱️ 08.07.2024): ``` - pip install imodels + pip install raiwidgets ```
LIT (πŸ₯‰25 Β· ⭐ 3.5K) - The Learning Interpretability Tool: Interactively analyze ML models to.. Apache-2 @@ -6212,19 +6169,19 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/albermax/innvestigate ``` -- [PyPi](https://pypi.org/project/innvestigate) (πŸ“₯ 730 / month Β· πŸ“¦ 2 Β· ⏱️ 12.10.2023): +- [PyPi](https://pypi.org/project/innvestigate) (πŸ“₯ 780 / month Β· πŸ“¦ 2 Β· ⏱️ 12.10.2023): ``` pip install innvestigate ```
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aequitas (πŸ₯‰25 Β· ⭐ 670) - Bias Auditing & Fair ML Toolkit. MIT +
aequitas (πŸ₯‰25 Β· ⭐ 680) - Bias Auditing & Fair ML Toolkit. MIT - [GitHub](https://github.com/dssg/aequitas) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 110 Β· πŸ“¦ 170 Β· πŸ“‹ 99 - 51% open Β· ⏱️ 11.09.2024): ``` git clone https://github.com/dssg/aequitas ``` -- [PyPi](https://pypi.org/project/aequitas) (πŸ“₯ 22K / month Β· πŸ“¦ 8 Β· ⏱️ 30.01.2024): +- [PyPi](https://pypi.org/project/aequitas) (πŸ“₯ 23K / month Β· πŸ“¦ 8 Β· ⏱️ 30.01.2024): ``` pip install aequitas ``` @@ -6236,27 +6193,11 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/quantumblacklabs/causalnex ``` -- [PyPi](https://pypi.org/project/causalnex) (πŸ“₯ 3.6K / month Β· πŸ“¦ 4 Β· ⏱️ 22.06.2023): +- [PyPi](https://pypi.org/project/causalnex) (πŸ“₯ 5.4K / month Β· πŸ“¦ 4 Β· ⏱️ 22.06.2023): ``` pip install causalnex ```
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checklist (πŸ₯‰24 Β· ⭐ 2K Β· πŸ’€) - Beyond Accuracy: Behavioral Testing of NLP models with CheckList. MIT - -- [GitHub](https://github.com/marcotcr/checklist) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 200 Β· πŸ“¦ 360 Β· πŸ“‹ 94 - 11% open Β· ⏱️ 26.09.2023): - - ``` - git clone https://github.com/marcotcr/checklist - ``` -- [PyPi](https://pypi.org/project/checklist) (πŸ“₯ 1.2K / month Β· πŸ“¦ 8 Β· ⏱️ 24.05.2021): - ``` - pip install checklist - ``` -- [Conda](https://anaconda.org/conda-forge/checklist) (πŸ“₯ 7.9K Β· ⏱️ 16.06.2023): - ``` - conda install -c conda-forge checklist - ``` -
Explainability 360 (πŸ₯‰24 Β· ⭐ 1.6K) - Interpretability and explainability of data and.. Apache-2 - [GitHub](https://github.com/Trusted-AI/AIX360) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 300 Β· πŸ“¦ 100 Β· πŸ“‹ 85 - 63% open Β· ⏱️ 16.07.2024): @@ -6264,14 +6205,14 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/Trusted-AI/AIX360 ``` -- [PyPi](https://pypi.org/project/aix360) (πŸ“₯ 1K / month Β· πŸ“¦ 1 Β· ⏱️ 31.07.2023): +- [PyPi](https://pypi.org/project/aix360) (πŸ“₯ 1.2K / month Β· πŸ“¦ 1 Β· ⏱️ 31.07.2023): ``` pip install aix360 ```
keract (πŸ₯‰24 Β· ⭐ 1K Β· πŸ’€) - Layers Outputs and Gradients in Keras. Made easy. MIT -- [GitHub](https://github.com/philipperemy/keract) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 180 Β· πŸ“¦ 220 Β· πŸ“‹ 89 - 3% open Β· ⏱️ 17.11.2023): +- [GitHub](https://github.com/philipperemy/keract) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 180 Β· πŸ“¦ 230 Β· πŸ“‹ 89 - 3% open Β· ⏱️ 17.11.2023): ``` git clone https://github.com/philipperemy/keract @@ -6288,7 +6229,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/PAIR-code/what-if-tool ``` -- [PyPi](https://pypi.org/project/witwidget) (πŸ“₯ 6.9K / month Β· πŸ“¦ 6 Β· ⏱️ 12.10.2021): +- [PyPi](https://pypi.org/project/witwidget) (πŸ“₯ 7.9K / month Β· πŸ“¦ 6 Β· ⏱️ 12.10.2021): ``` pip install witwidget ``` @@ -6296,19 +6237,31 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` conda install -c conda-forge tensorboard-plugin-wit ``` -- [npm](https://www.npmjs.com/package/wit-widget) (πŸ“₯ 670 / month Β· πŸ“¦ 3 Β· ⏱️ 12.10.2021): +- [npm](https://www.npmjs.com/package/wit-widget) (πŸ“₯ 560 / month Β· πŸ“¦ 3 Β· ⏱️ 12.10.2021): ``` npm install wit-widget ```
+
random-forest-importances (πŸ₯‰22 Β· ⭐ 600) - Code to compute permutation and drop-column.. MIT + +- [GitHub](https://github.com/parrt/random-forest-importances) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 130 Β· πŸ“¦ 170 Β· πŸ“‹ 39 - 20% open Β· ⏱️ 29.09.2024): + + ``` + git clone https://github.com/parrt/random-forest-importances + ``` +- [PyPi](https://pypi.org/project/rfpimp) (πŸ“₯ 12K / month Β· πŸ“¦ 5 Β· ⏱️ 28.01.2021): + ``` + pip install rfpimp + ``` +
ecco (πŸ₯‰21 Β· ⭐ 2K) - Explain, analyze, and visualize NLP language models. Ecco creates.. BSD-3 -- [GitHub](https://github.com/jalammar/ecco) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 160 Β· πŸ“₯ 120 Β· πŸ“¦ 29 Β· πŸ“‹ 64 - 51% open Β· ⏱️ 15.08.2024): +- [GitHub](https://github.com/jalammar/ecco) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 160 Β· πŸ“₯ 120 Β· πŸ“¦ 30 Β· πŸ“‹ 64 - 51% open Β· ⏱️ 15.08.2024): ``` git clone https://github.com/jalammar/ecco ``` -- [PyPi](https://pypi.org/project/ecco) (πŸ“₯ 440 / month Β· πŸ“¦ 1 Β· ⏱️ 09.01.2022): +- [PyPi](https://pypi.org/project/ecco) (πŸ“₯ 560 / month Β· πŸ“¦ 1 Β· ⏱️ 09.01.2022): ``` pip install ecco ``` @@ -6324,19 +6277,19 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/interpretml/DiCE ``` -- [PyPi](https://pypi.org/project/dice-ml) (πŸ“₯ 39K / month Β· πŸ“¦ 6 Β· ⏱️ 27.10.2023): +- [PyPi](https://pypi.org/project/dice-ml) (πŸ“₯ 37K / month Β· πŸ“¦ 6 Β· ⏱️ 27.10.2023): ``` pip install dice-ml ```
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fairness-indicators (πŸ₯‰20 Β· ⭐ 340) - Tensorflows Fairness Evaluation and Visualization.. Apache-2 +
fairness-indicators (πŸ₯‰19 Β· ⭐ 340) - Tensorflows Fairness Evaluation and Visualization.. Apache-2 - [GitHub](https://github.com/tensorflow/fairness-indicators) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 78 Β· πŸ“‹ 36 - 72% open Β· ⏱️ 26.04.2024): ``` git clone https://github.com/tensorflow/fairness-indicators ``` -- [PyPi](https://pypi.org/project/fairness-indicators) (πŸ“₯ 1.4K / month Β· ⏱️ 26.04.2024): +- [PyPi](https://pypi.org/project/fairness-indicators) (πŸ“₯ 1.6K / month Β· ⏱️ 26.04.2024): ``` pip install fairness-indicators ``` @@ -6348,23 +6301,11 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/aerdem4/lofo-importance ``` -- [PyPi](https://pypi.org/project/lofo-importance) (πŸ“₯ 3.1K / month Β· πŸ“¦ 4 Β· ⏱️ 16.01.2024): +- [PyPi](https://pypi.org/project/lofo-importance) (πŸ“₯ 3.3K / month Β· πŸ“¦ 4 Β· ⏱️ 16.01.2024): ``` pip install lofo-importance ```
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FlashTorch (πŸ₯‰16 Β· ⭐ 730 Β· πŸ’€) - Visualization toolkit for neural networks in PyTorch! Demo --. MIT - -- [GitHub](https://github.com/MisaOgura/flashtorch) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 85 Β· πŸ“¦ 22 Β· πŸ“‹ 32 - 31% open Β· ⏱️ 21.09.2023): - - ``` - git clone https://github.com/MisaOgura/flashtorch - ``` -- [PyPi](https://pypi.org/project/flashtorch) (πŸ“₯ 240 / month Β· ⏱️ 29.05.2020): - ``` - pip install flashtorch - ``` -
interpret-text (πŸ₯‰15 Β· ⭐ 410 Β· πŸ’€) - A library that incorporates state-of-the-art explainers.. MIT - [GitHub](https://github.com/interpretml/interpret-text) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 68 Β· πŸ“‹ 100 - 84% open Β· ⏱️ 05.02.2024): @@ -6372,7 +6313,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/interpretml/interpret-text ``` -- [PyPi](https://pypi.org/project/interpret-text) (πŸ“₯ 200 / month Β· ⏱️ 07.12.2021): +- [PyPi](https://pypi.org/project/interpret-text) (πŸ“₯ 220 / month Β· ⏱️ 07.12.2021): ``` pip install interpret-text ``` @@ -6384,35 +6325,36 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/explainX/explainx ``` -- [PyPi](https://pypi.org/project/explainx) (πŸ“₯ 800 / month Β· ⏱️ 04.02.2021): +- [PyPi](https://pypi.org/project/explainx) (πŸ“₯ 1K / month Β· ⏱️ 04.02.2021): ``` pip install explainx ```
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Show 23 hidden projects... +
Show 24 hidden projects... -- Lime (πŸ₯‡33 Β· ⭐ 12K Β· πŸ’€) - Lime: Explaining the predictions of any machine learning classifier. BSD-2 +- Lime (πŸ₯‡32 Β· ⭐ 12K Β· πŸ’€) - Lime: Explaining the predictions of any machine learning classifier. BSD-2 - Deep Checks (πŸ₯ˆ28 Β· ⭐ 3.6K Β· πŸ’€) - Deepchecks: Tests for Continuous Validation of ML Models.. ❗️AGPL-3.0 - scikit-plot (πŸ₯ˆ28 Β· ⭐ 2.4K Β· πŸ’€) - An intuitive library to add plotting functionality to.. MIT -- Alibi (πŸ₯ˆ28 Β· ⭐ 2.4K) - Algorithms for explaining machine learning models. ❗️Intel -- yellowbrick (πŸ₯ˆ26 Β· ⭐ 4.3K Β· πŸ’€) - Visual analysis and diagnostic tools to facilitate.. Apache-2 +- yellowbrick (πŸ₯ˆ27 Β· ⭐ 4.3K Β· πŸ’€) - Visual analysis and diagnostic tools to facilitate.. Apache-2 +- DALEX (πŸ₯ˆ27 Β· ⭐ 1.4K) - moDel Agnostic Language for Exploration and eXplanation. ❗️GPL-3.0 - eli5 (πŸ₯ˆ26 Β· ⭐ 2.8K Β· πŸ’€) - A library for debugging/inspecting machine learning classifiers and.. MIT -- DALEX (πŸ₯ˆ26 Β· ⭐ 1.4K) - moDel Agnostic Language for Exploration and eXplanation. ❗️GPL-3.0 +- Alibi (πŸ₯ˆ26 Β· ⭐ 2.4K Β· πŸ“‰) - Algorithms for explaining machine learning models. ❗️Intel - Lucid (πŸ₯‰25 Β· ⭐ 4.7K Β· πŸ’€) - A collection of infrastructure and tools for research in.. Apache-2 - keras-vis (πŸ₯‰25 Β· ⭐ 3K Β· πŸ’€) - Neural network visualization toolkit for keras. MIT +- checklist (πŸ₯‰24 Β· ⭐ 2K Β· πŸ’€) - Beyond Accuracy: Behavioral Testing of NLP models with CheckList. MIT - tf-explain (πŸ₯‰22 Β· ⭐ 1K Β· πŸ’€) - Interpretability Methods for tf.keras models with Tensorflow.. MIT -- random-forest-importances (πŸ₯‰22 Β· ⭐ 600 Β· πŸ’€) - Code to compute permutation and drop-column.. MIT - deeplift (πŸ₯‰21 Β· ⭐ 820 Β· πŸ’€) - Public facing deeplift repo. MIT - TreeInterpreter (πŸ₯‰21 Β· ⭐ 740 Β· πŸ’€) - Package for interpreting scikit-learns decision tree.. BSD-3 -- tcav (πŸ₯‰20 Β· ⭐ 630 Β· πŸ’€) - Code for the TCAV ML interpretability project. Apache-2 -- model-card-toolkit (πŸ₯‰20 Β· ⭐ 420 Β· πŸ’€) - A toolkit that streamlines and automates the.. Apache-2 - XAI (πŸ₯‰19 Β· ⭐ 1.1K Β· πŸ’€) - XAI - An eXplainability toolbox for machine learning. MIT +- tcav (πŸ₯‰19 Β· ⭐ 630 Β· πŸ’€) - Code for the TCAV ML interpretability project. Apache-2 - sklearn-evaluation (πŸ₯‰19 Β· ⭐ 460 Β· πŸ’€) - Machine learning model evaluation made easy: plots,.. MIT -- Quantus (πŸ₯‰18 Β· ⭐ 530) - Quantus is an eXplainable AI toolkit for responsible evaluation of.. ❗️GPL-3.0 -- Anchor (πŸ₯‰15 Β· ⭐ 790 Β· πŸ’€) - Code for High-Precision Model-Agnostic Explanations paper. BSD-2 -- Skater (πŸ₯‰14 Β· ⭐ 1.1K Β· πŸ’€) - Python Library for Model Interpretation/Explanations. ❗️UPL-1.0 -- Attribution Priors (πŸ₯‰12 Β· ⭐ 120 Β· πŸ’€) - Tools for training explainable models using.. MIT -- contextual-ai (πŸ₯‰12 Β· ⭐ 85 Β· πŸ’€) - Contextual AI adds explainability to different stages of.. Apache-2 +- Quantus (πŸ₯‰18 Β· ⭐ 540) - Quantus is an eXplainable AI toolkit for responsible evaluation of.. ❗️GPL-3.0 +- model-card-toolkit (πŸ₯‰18 Β· ⭐ 420 Β· πŸ’€) - A toolkit that streamlines and automates the.. Apache-2 +- FlashTorch (πŸ₯‰16 Β· ⭐ 730 Β· πŸ’€) - Visualization toolkit for neural networks in PyTorch! Demo --. MIT +- Anchor (πŸ₯‰15 Β· ⭐ 800 Β· πŸ’€) - Code for High-Precision Model-Agnostic Explanations paper. BSD-2 +- Skater (πŸ₯‰14 Β· ⭐ 1.1K Β· πŸ’€) - Python Library for Model Interpretation/Explanations. ❗️UPL-1.0 +- Attribution Priors (πŸ₯‰13 Β· ⭐ 120 Β· πŸ’€) - Tools for training explainable models using.. MIT +- contextual-ai (πŸ₯‰12 Β· ⭐ 86 Β· πŸ’€) - Contextual AI adds explainability to different stages of.. Apache-2 - bias-detector (πŸ₯‰12 Β· ⭐ 44 Β· πŸ’€) - Bias Detector is a python package for detecting bias in machine.. MIT

@@ -6427,12 +6369,12 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
Faiss (πŸ₯‡41 Β· ⭐ 31K) - A library for efficient similarity search and clustering of dense vectors. MIT -- [GitHub](https://github.com/facebookresearch/faiss) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 3.6K Β· πŸ“¦ 4K Β· πŸ“‹ 2.5K - 9% open Β· ⏱️ 26.09.2024): +- [GitHub](https://github.com/facebookresearch/faiss) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 3.6K Β· πŸ“¦ 4K Β· πŸ“‹ 2.5K - 9% open Β· ⏱️ 01.10.2024): ``` git clone https://github.com/facebookresearch/faiss ``` -- [PyPi](https://pypi.org/project/pymilvus) (πŸ“₯ 930K / month Β· πŸ“¦ 170 Β· ⏱️ 25.09.2024): +- [PyPi](https://pypi.org/project/pymilvus) (πŸ“₯ 1M / month Β· πŸ“¦ 170 Β· ⏱️ 25.09.2024): ``` pip install pymilvus ``` @@ -6443,23 +6385,23 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
Milvus (πŸ₯‡41 Β· ⭐ 30K) - A cloud-native vector database, storage for next generation AI.. Apache-2 -- [GitHub](https://github.com/milvus-io/milvus) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 2.8K Β· πŸ“₯ 270K Β· πŸ“‹ 12K - 6% open Β· ⏱️ 26.09.2024): +- [GitHub](https://github.com/milvus-io/milvus) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 2.8K Β· πŸ“₯ 270K Β· πŸ“‹ 12K - 6% open Β· ⏱️ 30.09.2024): ``` git clone https://github.com/milvus-io/milvus ``` -- [PyPi](https://pypi.org/project/pymilvus) (πŸ“₯ 930K / month Β· πŸ“¦ 170 Β· ⏱️ 25.09.2024): +- [PyPi](https://pypi.org/project/pymilvus) (πŸ“₯ 1M / month Β· πŸ“¦ 170 Β· ⏱️ 25.09.2024): ``` pip install pymilvus ``` -- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (πŸ“₯ 67M Β· ⭐ 62 Β· ⏱️ 25.09.2024): +- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (πŸ“₯ 67M Β· ⭐ 62 Β· ⏱️ 27.09.2024): ``` docker pull milvusdb/milvus ```
Annoy (πŸ₯ˆ35 Β· ⭐ 13K) - Approximate Nearest Neighbors in C++/Python optimized for memory usage.. Apache-2 -- [GitHub](https://github.com/spotify/annoy) (πŸ‘¨β€πŸ’» 89 Β· πŸ”€ 1.1K Β· πŸ“¦ 4.3K Β· πŸ“‹ 400 - 14% open Β· ⏱️ 29.07.2024): +- [GitHub](https://github.com/spotify/annoy) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 1.1K Β· πŸ“¦ 4.3K Β· πŸ“‹ 400 - 14% open Β· ⏱️ 29.07.2024): ``` git clone https://github.com/spotify/annoy @@ -6468,7 +6410,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit ``` pip install annoy ``` -- [Conda](https://anaconda.org/conda-forge/python-annoy) (πŸ“₯ 520K Β· ⏱️ 05.09.2024): +- [Conda](https://anaconda.org/conda-forge/python-annoy) (πŸ“₯ 530K Β· ⏱️ 05.09.2024): ``` conda install -c conda-forge python-annoy ``` @@ -6480,7 +6422,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit ``` git clone https://github.com/nmslib/hnswlib ``` -- [PyPi](https://pypi.org/project/hnswlib) (πŸ“₯ 950K / month Β· πŸ“¦ 130 Β· ⏱️ 03.12.2023): +- [PyPi](https://pypi.org/project/hnswlib) (πŸ“₯ 980K / month Β· πŸ“¦ 130 Β· ⏱️ 03.12.2023): ``` pip install hnswlib ``` @@ -6496,7 +6438,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit ``` git clone https://github.com/nmslib/nmslib ``` -- [PyPi](https://pypi.org/project/nmslib) (πŸ“₯ 180K / month Β· πŸ“¦ 63 Β· ⏱️ 03.02.2021): +- [PyPi](https://pypi.org/project/nmslib) (πŸ“₯ 190K / month Β· πŸ“¦ 63 Β· ⏱️ 03.02.2021): ``` pip install nmslib ``` @@ -6505,22 +6447,22 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit conda install -c conda-forge nmslib ```
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USearch (πŸ₯‰30 Β· ⭐ 2.1K) - Fast Open-Source Search & Clustering engine for Vectors & Strings in.. Apache-2 +
USearch (πŸ₯‰30 Β· ⭐ 2.2K) - Fast Open-Source Search & Clustering engine for Vectors & Strings in.. Apache-2 -- [GitHub](https://github.com/unum-cloud/usearch) (πŸ‘¨β€πŸ’» 52 Β· πŸ”€ 120 Β· πŸ“₯ 26K Β· πŸ“¦ 120 Β· πŸ“‹ 150 - 31% open Β· ⏱️ 28.08.2024): +- [GitHub](https://github.com/unum-cloud/usearch) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 130 Β· πŸ“₯ 26K Β· πŸ“¦ 120 Β· πŸ“‹ 160 - 33% open Β· ⏱️ 28.09.2024): ``` git clone https://github.com/unum-cloud/usearch ``` -- [PyPi](https://pypi.org/project/usearch) (πŸ“₯ 140K / month Β· πŸ“¦ 14 Β· ⏱️ 28.08.2024): +- [PyPi](https://pypi.org/project/usearch) (πŸ“₯ 160K / month Β· πŸ“¦ 21 Β· ⏱️ 28.09.2024): ``` pip install usearch ``` -- [npm](https://www.npmjs.com/package/usearch) (πŸ“₯ 8.5K / month Β· πŸ“¦ 14 Β· ⏱️ 28.08.2024): +- [npm](https://www.npmjs.com/package/usearch) (πŸ“₯ 8.2K / month Β· πŸ“¦ 14 Β· ⏱️ 28.09.2024): ``` npm install usearch ``` -- [Docker Hub](https://hub.docker.com/r/unum/usearch) (πŸ“₯ 120 Β· ⭐ 1 Β· ⏱️ 28.08.2024): +- [Docker Hub](https://hub.docker.com/r/unum/usearch) (πŸ“₯ 130 Β· ⭐ 1 Β· ⏱️ 28.09.2024): ``` docker pull unum/usearch ``` @@ -6532,7 +6474,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit ``` git clone https://github.com/lmcinnes/pynndescent ``` -- [PyPi](https://pypi.org/project/pynndescent) (πŸ“₯ 1.7M / month Β· πŸ“¦ 160 Β· ⏱️ 17.06.2024): +- [PyPi](https://pypi.org/project/pynndescent) (πŸ“₯ 1.4M / month Β· πŸ“¦ 160 Β· ⏱️ 17.06.2024): ``` pip install pynndescent ``` @@ -6548,7 +6490,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit ``` git clone https://github.com/yahoojapan/NGT ``` -- [PyPi](https://pypi.org/project/ngt) (πŸ“₯ 2.7K / month Β· πŸ“¦ 8 Β· ⏱️ 06.12.2023): +- [PyPi](https://pypi.org/project/ngt) (πŸ“₯ 3.4K / month Β· πŸ“¦ 8 Β· ⏱️ 06.12.2023): ``` pip install ngt ``` @@ -6570,12 +6512,12 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
PyMC3 (πŸ₯‡41 Β· ⭐ 8.7K) - Bayesian Modeling and Probabilistic Programming in Python. Apache-2 -- [GitHub](https://github.com/pymc-devs/pymc) (πŸ‘¨β€πŸ’» 500 Β· πŸ”€ 2K Β· πŸ“₯ 2K Β· πŸ“¦ 4.1K Β· πŸ“‹ 3.4K - 8% open Β· ⏱️ 18.09.2024): +- [GitHub](https://github.com/pymc-devs/pymc) (πŸ‘¨β€πŸ’» 500 Β· πŸ”€ 2K Β· πŸ“₯ 2K Β· πŸ“¦ 4.2K Β· πŸ“‹ 3.4K - 9% open Β· ⏱️ 03.10.2024): ``` git clone https://github.com/pymc-devs/pymc ``` -- [PyPi](https://pypi.org/project/pymc3) (πŸ“₯ 280K / month Β· πŸ“¦ 190 Β· ⏱️ 31.05.2024): +- [PyPi](https://pypi.org/project/pymc3) (πŸ“₯ 290K / month Β· πŸ“¦ 190 Β· ⏱️ 31.05.2024): ``` pip install pymc3 ``` @@ -6586,12 +6528,12 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
tensorflow-probability (πŸ₯‡35 Β· ⭐ 4.2K) - Probabilistic reasoning and statistical analysis in.. Apache-2 -- [GitHub](https://github.com/tensorflow/probability) (πŸ‘¨β€πŸ’» 500 Β· πŸ”€ 1.1K Β· πŸ“¦ 1 Β· πŸ“‹ 1.4K - 47% open Β· ⏱️ 20.09.2024): +- [GitHub](https://github.com/tensorflow/probability) (πŸ‘¨β€πŸ’» 500 Β· πŸ”€ 1.1K Β· πŸ“¦ 1 Β· πŸ“‹ 1.4K - 47% open Β· ⏱️ 03.10.2024): ``` git clone https://github.com/tensorflow/probability ``` -- [PyPi](https://pypi.org/project/tensorflow-probability) (πŸ“₯ 1.5M / month Β· πŸ“¦ 610 Β· ⏱️ 12.03.2024): +- [PyPi](https://pypi.org/project/tensorflow-probability) (πŸ“₯ 1.6M / month Β· πŸ“¦ 610 Β· ⏱️ 12.03.2024): ``` pip install tensorflow-probability ``` @@ -6602,35 +6544,35 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
Pyro (πŸ₯‡34 Β· ⭐ 8.5K) - Deep universal probabilistic programming with Python and PyTorch. Apache-2 -- [GitHub](https://github.com/pyro-ppl/pyro) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 980 Β· πŸ“‹ 1.1K - 23% open Β· ⏱️ 26.09.2024): +- [GitHub](https://github.com/pyro-ppl/pyro) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 980 Β· πŸ“‹ 1.1K - 23% open Β· ⏱️ 28.09.2024): ``` git clone https://github.com/pyro-ppl/pyro ``` -- [PyPi](https://pypi.org/project/pyro-ppl) (πŸ“₯ 330K / month Β· πŸ“¦ 190 Β· ⏱️ 02.06.2024): +- [PyPi](https://pypi.org/project/pyro-ppl) (πŸ“₯ 320K / month Β· πŸ“¦ 190 Β· ⏱️ 02.06.2024): ``` pip install pyro-ppl ``` -- [Conda](https://anaconda.org/conda-forge/pyro-ppl) (πŸ“₯ 190K Β· ⏱️ 03.06.2024): +- [Conda](https://anaconda.org/conda-forge/pyro-ppl) (πŸ“₯ 200K Β· ⏱️ 03.06.2024): ``` conda install -c conda-forge pyro-ppl ```
pgmpy (πŸ₯ˆ33 Β· ⭐ 2.7K) - Python Library for learning (Structure and Parameter), inference.. MIT -- [GitHub](https://github.com/pgmpy/pgmpy) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 700 Β· πŸ“₯ 540 Β· πŸ“¦ 1.2K Β· πŸ“‹ 930 - 31% open Β· ⏱️ 23.09.2024): +- [GitHub](https://github.com/pgmpy/pgmpy) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 700 Β· πŸ“₯ 540 Β· πŸ“¦ 1.2K Β· πŸ“‹ 930 - 31% open Β· ⏱️ 02.10.2024): ``` git clone https://github.com/pgmpy/pgmpy ``` -- [PyPi](https://pypi.org/project/pgmpy) (πŸ“₯ 100K / month Β· πŸ“¦ 53 Β· ⏱️ 09.08.2024): +- [PyPi](https://pypi.org/project/pgmpy) (πŸ“₯ 110K / month Β· πŸ“¦ 53 Β· ⏱️ 09.08.2024): ``` pip install pgmpy ```
GPyTorch (πŸ₯ˆ32 Β· ⭐ 3.5K) - A highly efficient implementation of Gaussian Processes in PyTorch. MIT -- [GitHub](https://github.com/cornellius-gp/gpytorch) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 550 Β· πŸ“¦ 2.4K Β· πŸ“‹ 1.3K - 27% open Β· ⏱️ 13.09.2024): +- [GitHub](https://github.com/cornellius-gp/gpytorch) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 550 Β· πŸ“¦ 2.4K Β· πŸ“‹ 1.3K - 27% open Β· ⏱️ 27.09.2024): ``` git clone https://github.com/cornellius-gp/gpytorch @@ -6651,7 +6593,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/SALib/SALib ``` -- [PyPi](https://pypi.org/project/salib) (πŸ“₯ 460K / month Β· πŸ“¦ 130 Β· ⏱️ 19.08.2024): +- [PyPi](https://pypi.org/project/salib) (πŸ“₯ 490K / month Β· πŸ“¦ 130 Β· ⏱️ 19.08.2024): ``` pip install salib ``` @@ -6660,78 +6602,78 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes conda install -c conda-forge salib ```
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pandas-ta (πŸ₯ˆ31 Β· ⭐ 5.2K) - Technical Analysis Indicators - Pandas TA is an easy to use.. MIT +
GPflow (πŸ₯ˆ31 Β· ⭐ 1.8K) - Gaussian processes in TensorFlow. Apache-2 -- [GitHub](https://github.com/twopirllc/pandas-ta) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 1K Β· πŸ“¦ 4.2K Β· πŸ“‹ 580 - 18% open Β· ⏱️ 24.06.2024): +- [GitHub](https://github.com/GPflow/GPflow) (πŸ‘¨β€πŸ’» 84 Β· πŸ”€ 440 Β· πŸ“¦ 690 Β· πŸ“‹ 840 - 18% open Β· ⏱️ 14.06.2024): ``` - git clone https://github.com/twopirllc/pandas-ta + git clone https://github.com/GPflow/GPflow ``` -- [PyPi](https://pypi.org/project/pandas-ta) (πŸ“₯ 170K / month Β· πŸ“¦ 110 Β· ⏱️ 28.07.2021): +- [PyPi](https://pypi.org/project/gpflow) (πŸ“₯ 78K / month Β· πŸ“¦ 35 Β· ⏱️ 17.06.2024): ``` - pip install pandas-ta + pip install gpflow ``` -- [Conda](https://anaconda.org/conda-forge/pandas-ta) (πŸ“₯ 22K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/gpflow) (πŸ“₯ 34K Β· ⏱️ 26.06.2024): ``` - conda install -c conda-forge pandas-ta + conda install -c conda-forge gpflow ```
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GPflow (πŸ₯ˆ31 Β· ⭐ 1.8K) - Gaussian processes in TensorFlow. Apache-2 +
pandas-ta (πŸ₯ˆ30 Β· ⭐ 5.3K) - Technical Analysis Indicators - Pandas TA is an easy to use.. MIT -- [GitHub](https://github.com/GPflow/GPflow) (πŸ‘¨β€πŸ’» 84 Β· πŸ”€ 440 Β· πŸ“¦ 690 Β· πŸ“‹ 840 - 18% open Β· ⏱️ 14.06.2024): +- [GitHub](https://github.com/twopirllc/pandas-ta) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 1K Β· πŸ“¦ 4.2K Β· πŸ“‹ 590 - 19% open Β· ⏱️ 24.06.2024): ``` - git clone https://github.com/GPflow/GPflow + git clone https://github.com/twopirllc/pandas-ta ``` -- [PyPi](https://pypi.org/project/gpflow) (πŸ“₯ 80K / month Β· πŸ“¦ 35 Β· ⏱️ 17.06.2024): +- [PyPi](https://pypi.org/project/pandas-ta) (πŸ“₯ 180K / month Β· πŸ“¦ 120 Β· ⏱️ 28.07.2021): ``` - pip install gpflow + pip install pandas-ta ``` -- [Conda](https://anaconda.org/conda-forge/gpflow) (πŸ“₯ 34K Β· ⏱️ 26.06.2024): +- [Conda](https://anaconda.org/conda-forge/pandas-ta) (πŸ“₯ 22K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge gpflow + conda install -c conda-forge pandas-ta ```
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emcee (πŸ₯ˆ31 Β· ⭐ 1.5K) - The Python ensemble sampling toolkit for affine-invariant MCMC. MIT +
hmmlearn (πŸ₯ˆ30 Β· ⭐ 3K) - Hidden Markov Models in Python, with scikit-learn like API. BSD-3 -- [GitHub](https://github.com/dfm/emcee) (πŸ‘¨β€πŸ’» 74 Β· πŸ”€ 430 Β· πŸ“¦ 2.6K Β· πŸ“‹ 300 - 19% open Β· ⏱️ 07.09.2024): +- [GitHub](https://github.com/hmmlearn/hmmlearn) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 740 Β· πŸ“¦ 2.8K Β· πŸ“‹ 440 - 15% open Β· ⏱️ 23.09.2024): ``` - git clone https://github.com/dfm/emcee + git clone https://github.com/hmmlearn/hmmlearn ``` -- [PyPi](https://pypi.org/project/emcee) (πŸ“₯ 540K / month Β· πŸ“¦ 440 Β· ⏱️ 19.04.2024): +- [PyPi](https://pypi.org/project/hmmlearn) (πŸ“₯ 690K / month Β· πŸ“¦ 87 Β· ⏱️ 02.03.2024): ``` - pip install emcee + pip install hmmlearn ``` -- [Conda](https://anaconda.org/conda-forge/emcee) (πŸ“₯ 360K Β· ⏱️ 22.04.2024): +- [Conda](https://anaconda.org/conda-forge/hmmlearn) (πŸ“₯ 280K Β· ⏱️ 11.09.2024): ``` - conda install -c conda-forge emcee + conda install -c conda-forge hmmlearn ```
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pomegranate (πŸ₯‰30 Β· ⭐ 3.4K) - Fast, flexible and easy to use probabilistic modelling in Python. MIT +
emcee (πŸ₯ˆ30 Β· ⭐ 1.5K) - The Python ensemble sampling toolkit for affine-invariant MCMC. MIT -- [GitHub](https://github.com/jmschrei/pomegranate) (πŸ‘¨β€πŸ’» 75 Β· πŸ”€ 590 Β· πŸ“¦ 1.2K Β· πŸ“‹ 780 - 2% open Β· ⏱️ 11.07.2024): +- [GitHub](https://github.com/dfm/emcee) (πŸ‘¨β€πŸ’» 74 Β· πŸ”€ 430 Β· πŸ“¦ 2.6K Β· πŸ“‹ 300 - 19% open Β· ⏱️ 07.09.2024): ``` - git clone https://github.com/jmschrei/pomegranate + git clone https://github.com/dfm/emcee ``` -- [PyPi](https://pypi.org/project/pomegranate) (πŸ“₯ 14K / month Β· πŸ“¦ 59 Β· ⏱️ 11.07.2024): +- [PyPi](https://pypi.org/project/emcee) (πŸ“₯ 1.3M / month Β· πŸ“¦ 440 Β· ⏱️ 19.04.2024): ``` - pip install pomegranate + pip install emcee ``` -- [Conda](https://anaconda.org/conda-forge/pomegranate) (πŸ“₯ 170K Β· ⏱️ 10.12.2023): +- [Conda](https://anaconda.org/conda-forge/emcee) (πŸ“₯ 360K Β· ⏱️ 22.04.2024): ``` - conda install -c conda-forge pomegranate + conda install -c conda-forge emcee ```
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patsy (πŸ₯‰30 Β· ⭐ 940 Β· πŸ’€) - Describing statistical models in Python using symbolic formulas. BSD-2 +
patsy (πŸ₯ˆ30 Β· ⭐ 940 Β· πŸ’€) - Describing statistical models in Python using symbolic formulas. BSD-2 - [GitHub](https://github.com/pydata/patsy) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 100 Β· πŸ“¦ 110K Β· πŸ“‹ 150 - 46% open Β· ⏱️ 04.01.2024): ``` git clone https://github.com/pydata/patsy ``` -- [PyPi](https://pypi.org/project/patsy) (πŸ“₯ 15M / month Β· πŸ“¦ 520 Β· ⏱️ 04.01.2024): +- [PyPi](https://pypi.org/project/patsy) (πŸ“₯ 16M / month Β· πŸ“¦ 530 Β· ⏱️ 04.01.2024): ``` pip install patsy ``` @@ -6740,30 +6682,30 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes conda install -c conda-forge patsy ```
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hmmlearn (πŸ₯‰29 Β· ⭐ 3K) - Hidden Markov Models in Python, with scikit-learn like API. BSD-3 +
pomegranate (πŸ₯‰29 Β· ⭐ 3.4K) - Fast, flexible and easy to use probabilistic modelling in Python. MIT -- [GitHub](https://github.com/hmmlearn/hmmlearn) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 740 Β· πŸ“¦ 2.8K Β· πŸ“‹ 440 - 15% open Β· ⏱️ 23.09.2024): +- [GitHub](https://github.com/jmschrei/pomegranate) (πŸ‘¨β€πŸ’» 75 Β· πŸ”€ 590 Β· πŸ“¦ 1.2K Β· πŸ“‹ 780 - 2% open Β· ⏱️ 11.07.2024): ``` - git clone https://github.com/hmmlearn/hmmlearn + git clone https://github.com/jmschrei/pomegranate ``` -- [PyPi](https://pypi.org/project/hmmlearn) (πŸ“₯ 330K / month Β· πŸ“¦ 87 Β· ⏱️ 02.03.2024): +- [PyPi](https://pypi.org/project/pomegranate) (πŸ“₯ 15K / month Β· πŸ“¦ 59 Β· ⏱️ 11.07.2024): ``` - pip install hmmlearn + pip install pomegranate ``` -- [Conda](https://anaconda.org/conda-forge/hmmlearn) (πŸ“₯ 280K Β· ⏱️ 11.09.2024): +- [Conda](https://anaconda.org/conda-forge/pomegranate) (πŸ“₯ 170K Β· ⏱️ 10.12.2023): ``` - conda install -c conda-forge hmmlearn + conda install -c conda-forge pomegranate ```
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PyStan (πŸ₯‰29 Β· ⭐ 340) - PyStan, a Python interface to Stan, a platform for statistical modeling... ISC +
PyStan (πŸ₯‰28 Β· ⭐ 340) - PyStan, a Python interface to Stan, a platform for statistical modeling... ISC - [GitHub](https://github.com/stan-dev/pystan) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 58 Β· πŸ“¦ 10K Β· πŸ“‹ 200 - 6% open Β· ⏱️ 03.07.2024): ``` git clone https://github.com/stan-dev/pystan ``` -- [PyPi](https://pypi.org/project/pystan) (πŸ“₯ 780K / month Β· πŸ“¦ 160 Β· ⏱️ 03.07.2024): +- [PyPi](https://pypi.org/project/pystan) (πŸ“₯ 770K / month Β· πŸ“¦ 160 Β· ⏱️ 03.07.2024): ``` pip install pystan ``` @@ -6774,12 +6716,12 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
bambi (πŸ₯‰27 Β· ⭐ 1.1K) - BAyesian Model-Building Interface (Bambi) in Python. MIT -- [GitHub](https://github.com/bambinos/bambi) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 120 Β· πŸ“¦ 140 Β· πŸ“‹ 410 - 19% open Β· ⏱️ 08.09.2024): +- [GitHub](https://github.com/bambinos/bambi) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 120 Β· πŸ“¦ 150 Β· πŸ“‹ 410 - 19% open Β· ⏱️ 26.09.2024): ``` git clone https://github.com/bambinos/bambi ``` -- [PyPi](https://pypi.org/project/bambi) (πŸ“₯ 25K / month Β· πŸ“¦ 10 Β· ⏱️ 10.07.2024): +- [PyPi](https://pypi.org/project/bambi) (πŸ“₯ 24K / month Β· πŸ“¦ 10 Β· ⏱️ 10.07.2024): ``` pip install bambi ``` @@ -6788,26 +6730,14 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes conda install -c conda-forge bambi ```
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Orbit (πŸ₯‰25 Β· ⭐ 1.9K) - A Python package for Bayesian forecasting with object-oriented design.. Apache-2 - -- [GitHub](https://github.com/uber/orbit) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 140 Β· πŸ“¦ 61 Β· πŸ“‹ 400 - 12% open Β· ⏱️ 10.07.2024): - - ``` - git clone https://github.com/uber/orbit - ``` -- [PyPi](https://pypi.org/project/orbit-ml) (πŸ“₯ 13K / month Β· πŸ“¦ 1 Β· ⏱️ 01.04.2024): - ``` - pip install orbit-ml - ``` -
scikit-posthocs (πŸ₯‰24 Β· ⭐ 340) - Multiple Pairwise Comparisons (Post Hoc) Tests in Python. MIT -- [GitHub](https://github.com/maximtrp/scikit-posthocs) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 40 Β· πŸ“₯ 64 Β· πŸ“¦ 820 Β· πŸ“‹ 58 - 12% open Β· ⏱️ 19.09.2024): +- [GitHub](https://github.com/maximtrp/scikit-posthocs) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 40 Β· πŸ“₯ 64 Β· πŸ“¦ 830 Β· πŸ“‹ 59 - 11% open Β· ⏱️ 19.09.2024): ``` git clone https://github.com/maximtrp/scikit-posthocs ``` -- [PyPi](https://pypi.org/project/scikit-posthocs) (πŸ“₯ 88K / month Β· πŸ“¦ 48 Β· ⏱️ 18.02.2024): +- [PyPi](https://pypi.org/project/scikit-posthocs) (πŸ“₯ 85K / month Β· πŸ“¦ 48 Β· ⏱️ 18.02.2024): ``` pip install scikit-posthocs ``` @@ -6816,6 +6746,18 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes conda install -c conda-forge scikit-posthocs ```
+
Orbit (πŸ₯‰23 Β· ⭐ 1.9K Β· πŸ“‰) - A Python package for Bayesian forecasting with object-oriented.. Apache-2 + +- [GitHub](https://github.com/uber/orbit) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 140 Β· πŸ“¦ 61 Β· πŸ“‹ 400 - 12% open Β· ⏱️ 10.07.2024): + + ``` + git clone https://github.com/uber/orbit + ``` +- [PyPi](https://pypi.org/project/orbit-ml) (πŸ“₯ 13K / month Β· πŸ“¦ 1 Β· ⏱️ 01.04.2024): + ``` + pip install orbit-ml + ``` +
Baal (πŸ₯‰22 Β· ⭐ 860) - Bayesian active learning library for research and industrial usecases. Apache-2 - [GitHub](https://github.com/baal-org/baal) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 86 Β· πŸ“¦ 60 Β· πŸ“‹ 110 - 17% open Β· ⏱️ 27.06.2024): @@ -6823,11 +6765,11 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/baal-org/baal ``` -- [PyPi](https://pypi.org/project/baal) (πŸ“₯ 1.8K / month Β· πŸ“¦ 2 Β· ⏱️ 11.06.2024): +- [PyPi](https://pypi.org/project/baal) (πŸ“₯ 1.9K / month Β· πŸ“¦ 2 Β· ⏱️ 11.06.2024): ``` pip install baal ``` -- [Conda](https://anaconda.org/conda-forge/baal) (πŸ“₯ 9.9K Β· ⏱️ 12.06.2023): +- [Conda](https://anaconda.org/conda-forge/baal) (πŸ“₯ 10K Β· ⏱️ 12.06.2023): ``` conda install -c conda-forge baal ``` @@ -6836,7 +6778,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes - filterpy (πŸ₯ˆ31 Β· ⭐ 3.3K Β· πŸ’€) - Python Kalman filtering and optimal estimation library. Implements.. MIT - pingouin (πŸ₯‰29 Β· ⭐ 1.6K) - Statistical package in Python based on Pandas. ❗️GPL-3.0 -- Edward (πŸ₯‰27 Β· ⭐ 4.8K Β· πŸ’€) - A probabilistic programming language in TensorFlow. Deep.. Apache-2 +- Edward (πŸ₯‰28 Β· ⭐ 4.8K Β· πŸ’€) - A probabilistic programming language in TensorFlow. Deep.. Apache-2 - pyhsmm (πŸ₯‰21 Β· ⭐ 550 Β· πŸ’€) - Bayesian inference in HSMMs and HMMs. MIT - Funsor (πŸ₯‰20 Β· ⭐ 240 Β· πŸ’€) - Functional tensors for probabilistic programming. Apache-2 - ZhuSuan (πŸ₯‰15 Β· ⭐ 2.2K Β· πŸ’€) - A probabilistic programming library for Bayesian deep learning,.. MIT @@ -6851,60 +6793,60 @@ _Libraries for testing the robustness of machine learning models against attacks
ART (πŸ₯‡34 Β· ⭐ 4.8K) - Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning.. MIT -- [GitHub](https://github.com/Trusted-AI/adversarial-robustness-toolbox) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.1K Β· πŸ“¦ 580 Β· πŸ“‹ 910 - 16% open Β· ⏱️ 24.09.2024): +- [GitHub](https://github.com/Trusted-AI/adversarial-robustness-toolbox) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.2K Β· πŸ“¦ 590 Β· πŸ“‹ 900 - 15% open Β· ⏱️ 02.10.2024): ``` git clone https://github.com/Trusted-AI/adversarial-robustness-toolbox ``` -- [PyPi](https://pypi.org/project/adversarial-robustness-toolbox) (πŸ“₯ 32K / month Β· πŸ“¦ 20 Β· ⏱️ 03.07.2024): +- [PyPi](https://pypi.org/project/adversarial-robustness-toolbox) (πŸ“₯ 32K / month Β· πŸ“¦ 20 Β· ⏱️ 02.10.2024): ``` pip install adversarial-robustness-toolbox ``` -- [Conda](https://anaconda.org/conda-forge/adversarial-robustness-toolbox) (πŸ“₯ 49K Β· ⏱️ 12.09.2024): +- [Conda](https://anaconda.org/conda-forge/adversarial-robustness-toolbox) (πŸ“₯ 49K Β· ⏱️ 03.10.2024): ``` conda install -c conda-forge adversarial-robustness-toolbox ```
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TextAttack (πŸ₯ˆ27 Β· ⭐ 2.9K) - TextAttack is a Python framework for adversarial attacks, data.. MIT +
Foolbox (πŸ₯ˆ27 Β· ⭐ 2.7K Β· πŸ’€) - A Python toolbox to create adversarial examples that fool neural.. MIT -- [GitHub](https://github.com/QData/TextAttack) (πŸ‘¨β€πŸ’» 66 Β· πŸ”€ 380 Β· πŸ“¦ 300 Β· πŸ“‹ 280 - 21% open Β· ⏱️ 25.07.2024): +- [GitHub](https://github.com/bethgelab/foolbox) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 420 Β· πŸ“¦ 630 Β· πŸ“‹ 370 - 5% open Β· ⏱️ 04.03.2024): ``` - git clone https://github.com/QData/TextAttack + git clone https://github.com/bethgelab/foolbox ``` -- [PyPi](https://pypi.org/project/textattack) (πŸ“₯ 4K / month Β· πŸ“¦ 11 Β· ⏱️ 11.03.2024): +- [PyPi](https://pypi.org/project/foolbox) (πŸ“₯ 4.5K / month Β· πŸ“¦ 14 Β· ⏱️ 04.03.2024): ``` - pip install textattack + pip install foolbox ``` -- [Conda](https://anaconda.org/conda-forge/textattack) (πŸ“₯ 8.4K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/foolbox) (πŸ“₯ 15K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge textattack + conda install -c conda-forge foolbox ```
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Foolbox (πŸ₯ˆ27 Β· ⭐ 2.7K) - A Python toolbox to create adversarial examples that fool neural networks.. MIT +
TextAttack (πŸ₯ˆ26 Β· ⭐ 2.9K) - TextAttack is a Python framework for adversarial attacks, data.. MIT -- [GitHub](https://github.com/bethgelab/foolbox) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 420 Β· πŸ“¦ 630 Β· πŸ“‹ 370 - 5% open Β· ⏱️ 04.03.2024): +- [GitHub](https://github.com/QData/TextAttack) (πŸ‘¨β€πŸ’» 66 Β· πŸ”€ 380 Β· πŸ“¦ 300 Β· πŸ“‹ 280 - 21% open Β· ⏱️ 25.07.2024): ``` - git clone https://github.com/bethgelab/foolbox + git clone https://github.com/QData/TextAttack ``` -- [PyPi](https://pypi.org/project/foolbox) (πŸ“₯ 3.8K / month Β· πŸ“¦ 14 Β· ⏱️ 04.03.2024): +- [PyPi](https://pypi.org/project/textattack) (πŸ“₯ 4.2K / month Β· πŸ“¦ 11 Β· ⏱️ 11.03.2024): ``` - pip install foolbox + pip install textattack ``` -- [Conda](https://anaconda.org/conda-forge/foolbox) (πŸ“₯ 15K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/textattack) (πŸ“₯ 8.5K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge foolbox + conda install -c conda-forge textattack ```
Show 6 hidden projects... - CleverHans (πŸ₯ˆ29 Β· ⭐ 6.2K Β· πŸ’€) - An adversarial example library for constructing attacks,.. MIT - advertorch (πŸ₯‰22 Β· ⭐ 1.3K Β· πŸ’€) - A Toolbox for Adversarial Robustness Research. ❗️GPL-3.0 -- AdvBox (πŸ₯‰19 Β· ⭐ 1.4K Β· πŸ’€) - Advbox is a toolbox to generate adversarial examples that fool.. Apache-2 +- AdvBox (πŸ₯‰20 Β· ⭐ 1.4K Β· πŸ’€) - Advbox is a toolbox to generate adversarial examples that fool.. Apache-2 - robustness (πŸ₯‰19 Β· ⭐ 910 Β· πŸ’€) - A library for experimenting with, training and evaluating neural.. MIT - textflint (πŸ₯‰16 Β· ⭐ 640 Β· πŸ’€) - Unified Multilingual Robustness Evaluation Toolkit for.. ❗️GPL-3.0 -- Adversary (πŸ₯‰15 Β· ⭐ 390 Β· πŸ’€) - Tool to generate adversarial text examples and test machine.. MIT +- Adversary (πŸ₯‰15 Β· ⭐ 400 Β· πŸ’€) - Tool to generate adversarial text examples and test machine.. MIT

@@ -6914,14 +6856,14 @@ _Libraries for testing the robustness of machine learning models against attacks _Libraries that require and make use of CUDA/GPU or other accelerator hardware capabilities to optimize machine learning tasks._ -
CuPy (πŸ₯‡39 Β· ⭐ 9.2K) - NumPy & SciPy for GPU. MIT +
CuPy (πŸ₯‡39 Β· ⭐ 9.3K) - NumPy & SciPy for GPU. MIT -- [GitHub](https://github.com/cupy/cupy) (πŸ‘¨β€πŸ’» 390 Β· πŸ”€ 810 Β· πŸ“₯ 190K Β· πŸ“¦ 2.3K Β· πŸ“‹ 2.4K - 26% open Β· ⏱️ 26.09.2024): +- [GitHub](https://github.com/cupy/cupy) (πŸ‘¨β€πŸ’» 390 Β· πŸ”€ 810 Β· πŸ“₯ 190K Β· πŸ“¦ 2.3K Β· πŸ“‹ 2.4K - 26% open Β· ⏱️ 03.10.2024): ``` git clone https://github.com/cupy/cupy ``` -- [PyPi](https://pypi.org/project/cupy) (πŸ“₯ 44K / month Β· πŸ“¦ 270 Β· ⏱️ 22.08.2024): +- [PyPi](https://pypi.org/project/cupy) (πŸ“₯ 50K / month Β· πŸ“¦ 270 Β· ⏱️ 22.08.2024): ``` pip install cupy ``` @@ -6929,35 +6871,35 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c ``` conda install -c conda-forge cupy ``` -- [Docker Hub](https://hub.docker.com/r/cupy/cupy) (πŸ“₯ 67K Β· ⭐ 13 Β· ⏱️ 22.08.2024): +- [Docker Hub](https://hub.docker.com/r/cupy/cupy) (πŸ“₯ 68K Β· ⭐ 13 Β· ⏱️ 22.08.2024): ``` docker pull cupy/cupy ```
cuDF (πŸ₯‡35 Β· ⭐ 8.3K) - cuDF - GPU DataFrame Library. Apache-2 -- [GitHub](https://github.com/rapidsai/cudf) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 880 Β· πŸ“¦ 57 Β· πŸ“‹ 6.5K - 16% open Β· ⏱️ 26.09.2024): +- [GitHub](https://github.com/rapidsai/cudf) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 880 Β· πŸ“¦ 57 Β· πŸ“‹ 6.5K - 16% open Β· ⏱️ 03.10.2024): ``` git clone https://github.com/rapidsai/cudf ``` -- [PyPi](https://pypi.org/project/cudf) (πŸ“₯ 3.2K / month Β· πŸ“¦ 22 Β· ⏱️ 01.06.2020): +- [PyPi](https://pypi.org/project/cudf) (πŸ“₯ 3.1K / month Β· πŸ“¦ 22 Β· ⏱️ 01.06.2020): ``` pip install cudf ```
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optimum (πŸ₯‡35 Β· ⭐ 2.5K) - Accelerate training and inference of Transformers and Diffusers with.. Apache-2 +
optimum (πŸ₯ˆ34 Β· ⭐ 2.5K) - Accelerate training and inference of Transformers and Diffusers with.. Apache-2 -- [GitHub](https://github.com/huggingface/optimum) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 440 Β· πŸ“¦ 3.4K Β· πŸ“‹ 830 - 50% open Β· ⏱️ 26.09.2024): +- [GitHub](https://github.com/huggingface/optimum) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 440 Β· πŸ“¦ 3.5K Β· πŸ“‹ 840 - 49% open Β· ⏱️ 30.09.2024): ``` git clone https://github.com/huggingface/optimum ``` -- [PyPi](https://pypi.org/project/optimum) (πŸ“₯ 920K / month Β· πŸ“¦ 160 Β· ⏱️ 10.09.2024): +- [PyPi](https://pypi.org/project/optimum) (πŸ“₯ 940K / month Β· πŸ“¦ 160 Β· ⏱️ 10.09.2024): ``` pip install optimum ``` -- [Conda](https://anaconda.org/conda-forge/optimum) (πŸ“₯ 23K Β· ⏱️ 29.05.2024): +- [Conda](https://anaconda.org/conda-forge/optimum) (πŸ“₯ 24K Β· ⏱️ 29.05.2024): ``` conda install -c conda-forge optimum ``` @@ -6969,37 +6911,37 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c ``` git clone https://github.com/inducer/pycuda ``` -- [PyPi](https://pypi.org/project/pycuda) (πŸ“₯ 65K / month Β· πŸ“¦ 160 Β· ⏱️ 30.07.2024): +- [PyPi](https://pypi.org/project/pycuda) (πŸ“₯ 73K / month Β· πŸ“¦ 160 Β· ⏱️ 30.07.2024): ``` pip install pycuda ``` -- [Conda](https://anaconda.org/conda-forge/pycuda) (πŸ“₯ 570K Β· ⏱️ 17.08.2024): +- [Conda](https://anaconda.org/conda-forge/pycuda) (πŸ“₯ 580K Β· ⏱️ 17.08.2024): ``` conda install -c conda-forge pycuda ```
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Apex (πŸ₯ˆ31 Β· ⭐ 8.3K) - A PyTorch Extension: Tools for easy mixed precision and distributed.. BSD-3 +
cuML (πŸ₯ˆ31 Β· ⭐ 4.2K) - cuML - RAPIDS Machine Learning Library. Apache-2 -- [GitHub](https://github.com/NVIDIA/apex) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.4K Β· πŸ“¦ 2.7K Β· πŸ“‹ 1.2K - 57% open Β· ⏱️ 30.08.2024): +- [GitHub](https://github.com/rapidsai/cuml) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 520 Β· πŸ“‹ 2.5K - 35% open Β· ⏱️ 03.10.2024): ``` - git clone https://github.com/NVIDIA/apex + git clone https://github.com/rapidsai/cuml ``` -- [Conda](https://anaconda.org/conda-forge/nvidia-apex) (πŸ“₯ 320K Β· ⏱️ 10.09.2024): +- [PyPi](https://pypi.org/project/cuml) (πŸ“₯ 3K / month Β· πŸ“¦ 14 Β· ⏱️ 01.06.2020): ``` - conda install -c conda-forge nvidia-apex + pip install cuml ```
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cuML (πŸ₯ˆ31 Β· ⭐ 4.2K) - cuML - RAPIDS Machine Learning Library. Apache-2 +
Apex (πŸ₯ˆ30 Β· ⭐ 8.3K) - A PyTorch Extension: Tools for easy mixed precision and distributed.. BSD-3 -- [GitHub](https://github.com/rapidsai/cuml) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 520 Β· πŸ“‹ 2.5K - 35% open Β· ⏱️ 24.09.2024): +- [GitHub](https://github.com/NVIDIA/apex) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.4K Β· πŸ“¦ 2.7K Β· πŸ“‹ 1.3K - 58% open Β· ⏱️ 28.09.2024): ``` - git clone https://github.com/rapidsai/cuml + git clone https://github.com/NVIDIA/apex ``` -- [PyPi](https://pypi.org/project/cuml) (πŸ“₯ 3.1K / month Β· πŸ“¦ 14 Β· ⏱️ 01.06.2020): +- [Conda](https://anaconda.org/conda-forge/nvidia-apex) (πŸ“₯ 320K Β· ⏱️ 10.09.2024): ``` - pip install cuml + conda install -c conda-forge nvidia-apex ```
gpustat (πŸ₯ˆ30 Β· ⭐ 4K Β· πŸ’€) - A simple command-line utility for querying and monitoring GPU status. MIT @@ -7009,7 +6951,7 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c ``` git clone https://github.com/wookayin/gpustat ``` -- [PyPi](https://pypi.org/project/gpustat) (πŸ“₯ 600K / month Β· πŸ“¦ 150 Β· ⏱️ 22.08.2023): +- [PyPi](https://pypi.org/project/gpustat) (πŸ“₯ 640K / month Β· πŸ“¦ 150 Β· ⏱️ 22.08.2023): ``` pip install gpustat ``` @@ -7020,90 +6962,83 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
ArrayFire (πŸ₯ˆ28 Β· ⭐ 4.5K) - ArrayFire: a general purpose GPU library. BSD-3 -- [GitHub](https://github.com/arrayfire/arrayfire) (πŸ‘¨β€πŸ’» 92 Β· πŸ”€ 530 Β· πŸ“₯ 7K Β· πŸ“‹ 1.7K - 19% open Β· ⏱️ 03.09.2024): +- [GitHub](https://github.com/arrayfire/arrayfire) (πŸ‘¨β€πŸ’» 94 Β· πŸ”€ 530 Β· πŸ“₯ 7K Β· πŸ“‹ 1.7K - 19% open Β· ⏱️ 01.10.2024): ``` git clone https://github.com/arrayfire/arrayfire ``` -- [PyPi](https://pypi.org/project/arrayfire) (πŸ“₯ 2.8K / month Β· πŸ“¦ 10 Β· ⏱️ 22.02.2022): +- [PyPi](https://pypi.org/project/arrayfire) (πŸ“₯ 3.1K / month Β· πŸ“¦ 10 Β· ⏱️ 22.02.2022): ``` pip install arrayfire ```
cuGraph (πŸ₯‰27 Β· ⭐ 1.7K) - cuGraph - RAPIDS Graph Analytics Library. Apache-2 -- [GitHub](https://github.com/rapidsai/cugraph) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 300 Β· πŸ“‹ 1.7K - 10% open Β· ⏱️ 25.09.2024): +- [GitHub](https://github.com/rapidsai/cugraph) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 300 Β· πŸ“‹ 1.7K - 10% open Β· ⏱️ 03.10.2024): ``` git clone https://github.com/rapidsai/cugraph ``` -- [PyPi](https://pypi.org/project/cugraph) (πŸ“₯ 280 / month Β· πŸ“¦ 4 Β· ⏱️ 01.06.2020): +- [PyPi](https://pypi.org/project/cugraph) (πŸ“₯ 270 / month Β· πŸ“¦ 4 Β· ⏱️ 01.06.2020): ``` pip install cugraph ``` -- [Conda](https://anaconda.org/conda-forge/libcugraph) (πŸ“₯ 23K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/libcugraph) (πŸ“₯ 24K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge libcugraph ```
DALI (πŸ₯‰25 Β· ⭐ 5.1K) - A GPU-accelerated library containing highly optimized building blocks.. Apache-2 -- [GitHub](https://github.com/NVIDIA/DALI) (πŸ‘¨β€πŸ’» 93 Β· πŸ”€ 620 Β· πŸ“‹ 1.6K - 14% open Β· ⏱️ 24.09.2024): +- [GitHub](https://github.com/NVIDIA/DALI) (πŸ‘¨β€πŸ’» 93 Β· πŸ”€ 620 Β· πŸ“‹ 1.6K - 14% open Β· ⏱️ 01.10.2024): ``` git clone https://github.com/NVIDIA/DALI ```
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scikit-cuda (πŸ₯‰24 Β· ⭐ 980 Β· πŸ’€) - Python interface to GPU-powered libraries. BSD-3 +
scikit-cuda (πŸ₯‰24 Β· ⭐ 990 Β· πŸ’€) - Python interface to GPU-powered libraries. BSD-3 - [GitHub](https://github.com/lebedov/scikit-cuda) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 170 Β· πŸ“¦ 300 Β· πŸ“‹ 220 - 23% open Β· ⏱️ 15.10.2023): ``` git clone https://github.com/lebedov/scikit-cuda ``` -- [PyPi](https://pypi.org/project/scikit-cuda) (πŸ“₯ 720 / month Β· πŸ“¦ 23 Β· ⏱️ 27.05.2019): +- [PyPi](https://pypi.org/project/scikit-cuda) (πŸ“₯ 710 / month Β· πŸ“¦ 23 Β· ⏱️ 27.05.2019): ``` pip install scikit-cuda ```
Vulkan Kompute (πŸ₯‰23 Β· ⭐ 2K) - General purpose GPU compute framework built on Vulkan to.. Apache-2 -- [GitHub](https://github.com/KomputeProject/kompute) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 140 Β· πŸ“₯ 580 Β· πŸ“‹ 220 - 32% open Β· ⏱️ 12.09.2024): +- [GitHub](https://github.com/KomputeProject/kompute) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 140 Β· πŸ“₯ 580 Β· πŸ“‹ 220 - 32% open Β· ⏱️ 28.09.2024): ``` git clone https://github.com/KomputeProject/kompute ``` -- [PyPi](https://pypi.org/project/kp) (πŸ“₯ 230 / month Β· ⏱️ 20.01.2024): +- [PyPi](https://pypi.org/project/kp) (πŸ“₯ 330 / month Β· ⏱️ 20.01.2024): ``` pip install kp ```
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Merlin (πŸ₯‰21 Β· ⭐ 760) - NVIDIA Merlin is an open source library providing end-to-end GPU-.. Apache-2 +
Merlin (πŸ₯‰20 Β· ⭐ 760) - NVIDIA Merlin is an open source library providing end-to-end GPU-.. Apache-2 - [GitHub](https://github.com/NVIDIA-Merlin/Merlin) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 110 Β· πŸ“‹ 460 - 46% open Β· ⏱️ 22.07.2024): ``` git clone https://github.com/NVIDIA-Merlin/Merlin ``` -- [PyPi](https://pypi.org/project/merlin-core) (πŸ“₯ 9.4K / month Β· πŸ“¦ 1 Β· ⏱️ 29.08.2023): +- [PyPi](https://pypi.org/project/merlin-core) (πŸ“₯ 9.5K / month Β· πŸ“¦ 1 Β· ⏱️ 29.08.2023): ``` pip install merlin-core ```
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cuSignal (πŸ₯‰16 Β· ⭐ 710 Β· πŸ’€) - GPU accelerated signal processing. Apache-2 - -- [GitHub](https://github.com/rapidsai/cusignal) (πŸ‘¨β€πŸ’» 46 Β· πŸ”€ 130 Β· πŸ“‹ 160 - 16% open Β· ⏱️ 21.09.2023): - - ``` - git clone https://github.com/rapidsai/cusignal - ``` -
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Show 6 hidden projects... +
Show 7 hidden projects... - GPUtil (πŸ₯‰25 Β· ⭐ 1.1K Β· πŸ’€) - A Python module for getting the GPU status from NVIDA GPUs using.. MIT - py3nvml (πŸ₯‰22 Β· ⭐ 240 Β· πŸ’€) - Python 3 Bindings for NVML library. Get NVIDIA GPU status inside.. BSD-3 - BlazingSQL (πŸ₯‰20 Β· ⭐ 1.9K Β· πŸ’€) - BlazingSQL is a lightweight, GPU accelerated, SQL engine for.. Apache-2 -- nvidia-ml-py3 (πŸ₯‰17 Β· ⭐ 130) - Python 3 Bindings for the NVIDIA Management Library. BSD-3 +- nvidia-ml-py3 (πŸ₯‰18 Β· ⭐ 130) - Python 3 Bindings for the NVIDIA Management Library. BSD-3 +- cuSignal (πŸ₯‰16 Β· ⭐ 710 Β· πŸ’€) - GPU accelerated signal processing. Apache-2 - SpeedTorch (πŸ₯‰16 Β· ⭐ 680 Β· πŸ’€) - Library for faster pinned CPU - GPU transfer in Pytorch. MIT - ipyexperiments (πŸ₯‰16 Β· ⭐ 200 Β· πŸ’€) - Automatic GPU+CPU memory profiling, re-use and memory.. Apache-2
@@ -7117,7 +7052,7 @@ _Libraries that extend TensorFlow with additional capabilities._
TensorFlow Datasets (πŸ₯‡39 Β· ⭐ 4.3K) - TFDS is a collection of datasets ready to use with.. Apache-2 -- [GitHub](https://github.com/tensorflow/datasets) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 1.5K Β· πŸ“¦ 19K Β· πŸ“‹ 1.4K - 48% open Β· ⏱️ 26.09.2024): +- [GitHub](https://github.com/tensorflow/datasets) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 1.5K Β· πŸ“¦ 19K Β· πŸ“‹ 1.4K - 48% open Β· ⏱️ 03.10.2024): ``` git clone https://github.com/tensorflow/datasets @@ -7133,12 +7068,12 @@ _Libraries that extend TensorFlow with additional capabilities._
TFX (πŸ₯‡35 Β· ⭐ 2.1K) - TFX is an end-to-end platform for deploying production ML pipelines. Apache-2 -- [GitHub](https://github.com/tensorflow/tfx) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 700 Β· πŸ“¦ 1.6K Β· πŸ“‹ 1.1K - 22% open Β· ⏱️ 23.09.2024): +- [GitHub](https://github.com/tensorflow/tfx) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 700 Β· πŸ“¦ 1.6K Β· πŸ“‹ 1.1K - 22% open Β· ⏱️ 27.09.2024): ``` git clone https://github.com/tensorflow/tfx ``` -- [PyPi](https://pypi.org/project/tfx) (πŸ“₯ 30K / month Β· πŸ“¦ 17 Β· ⏱️ 13.05.2024): +- [PyPi](https://pypi.org/project/tfx) (πŸ“₯ 34K / month Β· πŸ“¦ 17 Β· ⏱️ 13.05.2024): ``` pip install tfx ``` @@ -7166,7 +7101,7 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/tensorflow/addons ``` -- [PyPi](https://pypi.org/project/tensorflow-addons) (πŸ“₯ 1.1M / month Β· πŸ“¦ 360 Β· ⏱️ 28.11.2023): +- [PyPi](https://pypi.org/project/tensorflow-addons) (πŸ“₯ 1.2M / month Β· πŸ“¦ 360 Β· ⏱️ 28.11.2023): ``` pip install tensorflow-addons ``` @@ -7190,19 +7125,19 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/tensorflow/model-optimization ``` -- [PyPi](https://pypi.org/project/tensorflow-model-optimization) (πŸ“₯ 920K / month Β· πŸ“¦ 45 Β· ⏱️ 08.02.2024): +- [PyPi](https://pypi.org/project/tensorflow-model-optimization) (πŸ“₯ 930K / month Β· πŸ“¦ 45 Β· ⏱️ 08.02.2024): ``` pip install tensorflow-model-optimization ```
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TensorFlow Transform (πŸ₯ˆ28 Β· ⭐ 980) - Input pipeline framework. Apache-2 +
TensorFlow Transform (πŸ₯‰27 Β· ⭐ 980) - Input pipeline framework. Apache-2 - [GitHub](https://github.com/tensorflow/transform) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 210 Β· πŸ“‹ 220 - 20% open Β· ⏱️ 10.09.2024): ``` git clone https://github.com/tensorflow/transform ``` -- [PyPi](https://pypi.org/project/tensorflow-transform) (πŸ“₯ 470K / month Β· πŸ“¦ 18 Β· ⏱️ 24.04.2024): +- [PyPi](https://pypi.org/project/tensorflow-transform) (πŸ“₯ 480K / month Β· πŸ“¦ 18 Β· ⏱️ 24.04.2024): ``` pip install tensorflow-transform ``` @@ -7214,19 +7149,19 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/tensorflow/neural-structured-learning ``` -- [PyPi](https://pypi.org/project/neural-structured-learning) (πŸ“₯ 7.7K / month Β· πŸ“¦ 3 Β· ⏱️ 29.07.2022): +- [PyPi](https://pypi.org/project/neural-structured-learning) (πŸ“₯ 7.8K / month Β· πŸ“¦ 3 Β· ⏱️ 29.07.2022): ``` pip install neural-structured-learning ```
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Saliency (πŸ₯‰23 Β· ⭐ 950) - Framework-agnostic implementation for state-of-the-art saliency.. Apache-2 +
Saliency (πŸ₯‰23 Β· ⭐ 950 Β· πŸ’€) - Framework-agnostic implementation for state-of-the-art.. Apache-2 - [GitHub](https://github.com/PAIR-code/saliency) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 190 Β· πŸ“¦ 100 Β· πŸ“‹ 39 - 30% open Β· ⏱️ 20.03.2024): ``` git clone https://github.com/PAIR-code/saliency ``` -- [PyPi](https://pypi.org/project/saliency) (πŸ“₯ 93K / month Β· πŸ“¦ 8 Β· ⏱️ 20.03.2024): +- [PyPi](https://pypi.org/project/saliency) (πŸ“₯ 96K / month Β· πŸ“¦ 8 Β· ⏱️ 20.03.2024): ``` pip install saliency ``` @@ -7238,7 +7173,7 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/tensorflow/compression ``` -- [PyPi](https://pypi.org/project/tensorflow-compression) (πŸ“₯ 2.6K / month Β· πŸ“¦ 2 Β· ⏱️ 02.02.2024): +- [PyPi](https://pypi.org/project/tensorflow-compression) (πŸ“₯ 2.9K / month Β· πŸ“¦ 2 Β· ⏱️ 02.02.2024): ``` pip install tensorflow-compression ``` @@ -7250,7 +7185,7 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/tensorflow/cloud ``` -- [PyPi](https://pypi.org/project/tensorflow-cloud) (πŸ“₯ 31K / month Β· πŸ“¦ 7 Β· ⏱️ 17.06.2021): +- [PyPi](https://pypi.org/project/tensorflow-cloud) (πŸ“₯ 32K / month Β· πŸ“¦ 7 Β· ⏱️ 17.06.2021): ``` pip install tensorflow-cloud ``` @@ -7273,28 +7208,28 @@ _Libraries that extend Jax with additional capabilities._
equinox (πŸ₯‡31 Β· ⭐ 2.1K) - Elegant easy-to-use neural networks + scientific computing in.. Apache-2 -- [GitHub](https://github.com/patrick-kidger/equinox) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 140 Β· πŸ“¦ 730 Β· πŸ“‹ 440 - 34% open Β· ⏱️ 18.09.2024): +- [GitHub](https://github.com/patrick-kidger/equinox) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 140 Β· πŸ“¦ 740 Β· πŸ“‹ 440 - 34% open Β· ⏱️ 01.10.2024): ``` git clone https://github.com/patrick-kidger/equinox ``` -- [PyPi](https://pypi.org/project/equinox) (πŸ“₯ 170K / month Β· πŸ“¦ 160 Β· ⏱️ 18.09.2024): +- [PyPi](https://pypi.org/project/equinox) (πŸ“₯ 190K / month Β· πŸ“¦ 160 Β· ⏱️ 18.09.2024): ``` pip install equinox ```
evojax (πŸ₯‰20 Β· ⭐ 830) - EvoJAX: Hardware-accelerated Neuroevolution. Apache-2 -- [GitHub](https://github.com/google/evojax) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 81 Β· πŸ“¦ 25 Β· πŸ“‹ 33 - 48% open Β· ⏱️ 27.06.2024): +- [GitHub](https://github.com/google/evojax) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 83 Β· πŸ“¦ 25 Β· πŸ“‹ 33 - 48% open Β· ⏱️ 27.06.2024): ``` git clone https://github.com/google/evojax ``` -- [PyPi](https://pypi.org/project/evojax) (πŸ“₯ 1K / month Β· πŸ“¦ 6 Β· ⏱️ 18.06.2024): +- [PyPi](https://pypi.org/project/evojax) (πŸ“₯ 1.1K / month Β· πŸ“¦ 6 Β· ⏱️ 18.06.2024): ``` pip install evojax ``` -- [Conda](https://anaconda.org/conda-forge/evojax) (πŸ“₯ 29K Β· ⏱️ 18.06.2024): +- [Conda](https://anaconda.org/conda-forge/evojax) (πŸ“₯ 30K Β· ⏱️ 18.06.2024): ``` conda install -c conda-forge evojax ``` @@ -7313,32 +7248,32 @@ _Libraries that extend scikit-learn with additional capabilities._
imbalanced-learn (πŸ₯‡35 Β· ⭐ 6.8K) - A Python Package to Tackle the Curse of Imbalanced.. MIT -- [GitHub](https://github.com/scikit-learn-contrib/imbalanced-learn) (πŸ‘¨β€πŸ’» 84 Β· πŸ”€ 1.3K Β· πŸ“¦ 32K Β· πŸ“‹ 610 - 7% open Β· ⏱️ 28.05.2024): +- [GitHub](https://github.com/scikit-learn-contrib/imbalanced-learn) (πŸ‘¨β€πŸ’» 84 Β· πŸ”€ 1.3K Β· πŸ“¦ 33K Β· πŸ“‹ 610 - 7% open Β· ⏱️ 28.05.2024): ``` git clone https://github.com/scikit-learn-contrib/imbalanced-learn ``` -- [PyPi](https://pypi.org/project/imbalanced-learn) (πŸ“₯ 13M / month Β· πŸ“¦ 440 Β· ⏱️ 28.05.2024): +- [PyPi](https://pypi.org/project/imbalanced-learn) (πŸ“₯ 15M / month Β· πŸ“¦ 440 Β· ⏱️ 28.05.2024): ``` pip install imbalanced-learn ``` -- [Conda](https://anaconda.org/conda-forge/imbalanced-learn) (πŸ“₯ 610K Β· ⏱️ 28.05.2024): +- [Conda](https://anaconda.org/conda-forge/imbalanced-learn) (πŸ“₯ 620K Β· ⏱️ 28.05.2024): ``` conda install -c conda-forge imbalanced-learn ```
scikit-learn-intelex (πŸ₯‡35 Β· ⭐ 1.2K) - Intel(R) Extension for Scikit-learn is a seamless way.. Apache-2 -- [GitHub](https://github.com/intel/scikit-learn-intelex) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 170 Β· πŸ“¦ 12K Β· πŸ“‹ 280 - 32% open Β· ⏱️ 26.09.2024): +- [GitHub](https://github.com/intel/scikit-learn-intelex) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 170 Β· πŸ“¦ 12K Β· πŸ“‹ 280 - 32% open Β· ⏱️ 03.10.2024): ``` git clone https://github.com/intel/scikit-learn-intelex ``` -- [PyPi](https://pypi.org/project/scikit-learn-intelex) (πŸ“₯ 81K / month Β· πŸ“¦ 55 Β· ⏱️ 17.09.2024): +- [PyPi](https://pypi.org/project/scikit-learn-intelex) (πŸ“₯ 80K / month Β· πŸ“¦ 55 Β· ⏱️ 17.09.2024): ``` pip install scikit-learn-intelex ``` -- [Conda](https://anaconda.org/conda-forge/scikit-learn-intelex) (πŸ“₯ 340K Β· ⏱️ 20.08.2024): +- [Conda](https://anaconda.org/conda-forge/scikit-learn-intelex) (πŸ“₯ 350K Β· ⏱️ 20.08.2024): ``` conda install -c conda-forge scikit-learn-intelex ``` @@ -7350,7 +7285,7 @@ _Libraries that extend scikit-learn with additional capabilities._ ``` git clone https://github.com/rasbt/mlxtend ``` -- [PyPi](https://pypi.org/project/mlxtend) (πŸ“₯ 650K / month Β· πŸ“¦ 180 Β· ⏱️ 05.01.2024): +- [PyPi](https://pypi.org/project/mlxtend) (πŸ“₯ 620K / month Β· πŸ“¦ 180 Β· ⏱️ 05.01.2024): ``` pip install mlxtend ``` @@ -7359,18 +7294,18 @@ _Libraries that extend scikit-learn with additional capabilities._ conda install -c conda-forge mlxtend ```
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category_encoders (πŸ₯ˆ30 Β· ⭐ 2.4K) - A library of sklearn compatible categorical variable.. BSD-3 +
category_encoders (πŸ₯ˆ32 Β· ⭐ 2.4K Β· πŸ“ˆ) - A library of sklearn compatible categorical variable.. BSD-3 -- [GitHub](https://github.com/scikit-learn-contrib/category_encoders) (πŸ‘¨β€πŸ’» 70 Β· πŸ”€ 390 Β· πŸ“¦ 2.1K Β· πŸ“‹ 290 - 15% open Β· ⏱️ 09.04.2024): +- [GitHub](https://github.com/scikit-learn-contrib/category_encoders) (πŸ‘¨β€πŸ’» 70 Β· πŸ”€ 390 Β· πŸ“¦ 2.2K Β· πŸ“‹ 290 - 15% open Β· ⏱️ 01.10.2024): ``` git clone https://github.com/scikit-learn-contrib/category_encoders ``` -- [PyPi](https://pypi.org/project/category_encoders) (πŸ“₯ 1.3M / month Β· πŸ“¦ 260 Β· ⏱️ 29.10.2023): +- [PyPi](https://pypi.org/project/category_encoders) (πŸ“₯ 1.3M / month Β· πŸ“¦ 280 Β· ⏱️ 01.10.2024): ``` pip install category_encoders ``` -- [Conda](https://anaconda.org/conda-forge/category_encoders) (πŸ“₯ 280K Β· ⏱️ 30.10.2023): +- [Conda](https://anaconda.org/conda-forge/category_encoders) (πŸ“₯ 280K Β· ⏱️ 02.10.2024): ``` conda install -c conda-forge category_encoders ``` @@ -7382,11 +7317,11 @@ _Libraries that extend scikit-learn with additional capabilities._ ``` git clone https://github.com/koaning/scikit-lego ``` -- [PyPi](https://pypi.org/project/scikit-lego) (πŸ“₯ 23K / month Β· πŸ“¦ 11 Β· ⏱️ 10.07.2024): +- [PyPi](https://pypi.org/project/scikit-lego) (πŸ“₯ 25K / month Β· πŸ“¦ 11 Β· ⏱️ 10.07.2024): ``` pip install scikit-lego ``` -- [Conda](https://anaconda.org/conda-forge/scikit-lego) (πŸ“₯ 55K Β· ⏱️ 10.07.2024): +- [Conda](https://anaconda.org/conda-forge/scikit-lego) (πŸ“₯ 56K Β· ⏱️ 10.07.2024): ``` conda install -c conda-forge scikit-lego ``` @@ -7410,31 +7345,31 @@ _Libraries that extend scikit-learn with additional capabilities._ ``` git clone https://github.com/amueller/dabl ``` -- [PyPi](https://pypi.org/project/dabl) (πŸ“₯ 4.4K / month Β· πŸ“¦ 3 Β· ⏱️ 07.08.2024): +- [PyPi](https://pypi.org/project/dabl) (πŸ“₯ 4.8K / month Β· πŸ“¦ 3 Β· ⏱️ 07.08.2024): ``` pip install dabl ```
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scikit-tda (πŸ₯‰19 Β· ⭐ 520) - Topological Data Analysis for Python. MIT +
scikit-tda (πŸ₯‰18 Β· ⭐ 520) - Topological Data Analysis for Python. MIT -- [GitHub](https://github.com/scikit-tda/scikit-tda) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 54 Β· πŸ“¦ 60 Β· πŸ“‹ 22 - 18% open Β· ⏱️ 19.07.2024): +- [GitHub](https://github.com/scikit-tda/scikit-tda) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 54 Β· πŸ“¦ 61 Β· πŸ“‹ 22 - 18% open Β· ⏱️ 19.07.2024): ``` git clone https://github.com/scikit-tda/scikit-tda ``` -- [PyPi](https://pypi.org/project/scikit-tda) (πŸ“₯ 1.2K / month Β· ⏱️ 19.07.2024): +- [PyPi](https://pypi.org/project/scikit-tda) (πŸ“₯ 1.1K / month Β· ⏱️ 19.07.2024): ``` pip install scikit-tda ```
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DESlib (πŸ₯‰18 Β· ⭐ 480) - A Python library for dynamic classifier and ensemble selection. BSD-3 +
DESlib (πŸ₯‰17 Β· ⭐ 480) - A Python library for dynamic classifier and ensemble selection. BSD-3 - [GitHub](https://github.com/scikit-learn-contrib/DESlib) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 100 Β· πŸ“‹ 160 - 11% open Β· ⏱️ 15.04.2024): ``` git clone https://github.com/scikit-learn-contrib/DESlib ``` -- [PyPi](https://pypi.org/project/deslib) (πŸ“₯ 1K / month Β· πŸ“¦ 3 Β· ⏱️ 12.04.2024): +- [PyPi](https://pypi.org/project/deslib) (πŸ“₯ 1.1K / month Β· πŸ“¦ 3 Β· ⏱️ 12.04.2024): ``` pip install deslib ``` @@ -7448,9 +7383,9 @@ _Libraries that extend scikit-learn with additional capabilities._ - sklearn-contrib-lightning (πŸ₯‰22 Β· ⭐ 1.7K Β· πŸ’€) - Large-scale linear classification, regression and.. BSD-3 - iterative-stratification (πŸ₯‰21 Β· ⭐ 840 Β· πŸ’€) - scikit-learn cross validators for iterative.. BSD-3 - combo (πŸ₯‰21 Β· ⭐ 640 Β· πŸ’€) - (AAAI 20) A Python Toolbox for Machine Learning Model.. BSD-2 xgboost -- skope-rules (πŸ₯‰21 Β· ⭐ 610 Β· πŸ’€) - machine learning with logical rules in Python. ❗️BSD-1-Clause +- skope-rules (πŸ₯‰21 Β· ⭐ 620 Β· πŸ’€) - machine learning with logical rules in Python. ❗️BSD-1-Clause - celer (πŸ₯‰19 Β· ⭐ 200) - Fast solver for L1-type problems: Lasso, sparse Logisitic regression,.. BSD-3 -- skggm (πŸ₯‰17 Β· ⭐ 240 Β· πŸ’€) - Scikit-learn compatible estimation of general graphical models. MIT +- skggm (πŸ₯‰18 Β· ⭐ 240 Β· πŸ’€) - Scikit-learn compatible estimation of general graphical models. MIT

@@ -7462,16 +7397,16 @@ _Libraries that extend Pytorch with additional capabilities._
accelerate (πŸ₯‡40 Β· ⭐ 7.8K) - A simple way to launch, train, and use PyTorch models on.. Apache-2 -- [GitHub](https://github.com/huggingface/accelerate) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 930 Β· πŸ“¦ 52K Β· πŸ“‹ 1.6K - 8% open Β· ⏱️ 18.09.2024): +- [GitHub](https://github.com/huggingface/accelerate) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 930 Β· πŸ“¦ 53K Β· πŸ“‹ 1.6K - 8% open Β· ⏱️ 30.09.2024): ``` git clone https://github.com/huggingface/accelerate ``` -- [PyPi](https://pypi.org/project/accelerate) (πŸ“₯ 7.3M / month Β· πŸ“¦ 1.5K Β· ⏱️ 13.09.2024): +- [PyPi](https://pypi.org/project/accelerate) (πŸ“₯ 7.4M / month Β· πŸ“¦ 1.5K Β· ⏱️ 13.09.2024): ``` pip install accelerate ``` -- [Conda](https://anaconda.org/conda-forge/accelerate) (πŸ“₯ 210K Β· ⏱️ 06.09.2024): +- [Conda](https://anaconda.org/conda-forge/accelerate) (πŸ“₯ 220K Β· ⏱️ 06.09.2024): ``` conda install -c conda-forge accelerate ``` @@ -7483,7 +7418,7 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/KevinMusgrave/pytorch-metric-learning ``` -- [PyPi](https://pypi.org/project/pytorch-metric-learning) (πŸ“₯ 840K / month Β· πŸ“¦ 50 Β· ⏱️ 25.07.2024): +- [PyPi](https://pypi.org/project/pytorch-metric-learning) (πŸ“₯ 800K / month Β· πŸ“¦ 50 Β· ⏱️ 25.07.2024): ``` pip install pytorch-metric-learning ``` @@ -7494,7 +7429,7 @@ _Libraries that extend Pytorch with additional capabilities._
tinygrad (πŸ₯‡33 Β· ⭐ 26K) - You like pytorch? You like micrograd? You love tinygrad!. MIT -- [GitHub](https://github.com/tinygrad/tinygrad) (πŸ‘¨β€πŸ’» 340 Β· πŸ”€ 2.8K Β· πŸ“¦ 100 Β· πŸ“‹ 720 - 13% open Β· ⏱️ 26.09.2024): +- [GitHub](https://github.com/tinygrad/tinygrad) (πŸ‘¨β€πŸ’» 340 Β· πŸ”€ 2.9K Β· πŸ“¦ 110 Β· πŸ“‹ 730 - 14% open Β· ⏱️ 03.10.2024): ``` git clone https://github.com/geohot/tinygrad @@ -7502,12 +7437,12 @@ _Libraries that extend Pytorch with additional capabilities._
torchdiffeq (πŸ₯‡31 Β· ⭐ 5.5K Β· πŸ’€) - Differentiable ODE solvers with full GPU support and.. MIT -- [GitHub](https://github.com/rtqichen/torchdiffeq) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 910 Β· πŸ“¦ 3.8K Β· πŸ“‹ 220 - 33% open Β· ⏱️ 19.10.2023): +- [GitHub](https://github.com/rtqichen/torchdiffeq) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 910 Β· πŸ“¦ 3.9K Β· πŸ“‹ 220 - 33% open Β· ⏱️ 19.10.2023): ``` git clone https://github.com/rtqichen/torchdiffeq ``` -- [PyPi](https://pypi.org/project/torchdiffeq) (πŸ“₯ 790K / month Β· πŸ“¦ 100 Β· ⏱️ 29.05.2024): +- [PyPi](https://pypi.org/project/torchdiffeq) (πŸ“₯ 830K / month Β· πŸ“¦ 100 Β· ⏱️ 29.05.2024): ``` pip install torchdiffeq ``` @@ -7516,22 +7451,6 @@ _Libraries that extend Pytorch with additional capabilities._ conda install -c conda-forge torchdiffeq ```
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torchsde (πŸ₯ˆ28 Β· ⭐ 1.6K Β· πŸ’€) - Differentiable SDE solvers with GPU support and efficient.. Apache-2 - -- [GitHub](https://github.com/google-research/torchsde) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 200 Β· πŸ“¦ 3.7K Β· πŸ“‹ 79 - 34% open Β· ⏱️ 26.09.2023): - - ``` - git clone https://github.com/google-research/torchsde - ``` -- [PyPi](https://pypi.org/project/torchsde) (πŸ“₯ 1.9M / month Β· πŸ“¦ 37 Β· ⏱️ 26.09.2023): - ``` - pip install torchsde - ``` -- [Conda](https://anaconda.org/conda-forge/torchsde) (πŸ“₯ 28K Β· ⏱️ 16.06.2023): - ``` - conda install -c conda-forge torchsde - ``` -
lightning-flash (πŸ₯ˆ27 Β· ⭐ 1.7K Β· πŸ’€) - Your PyTorch AI Factory - Flash enables you to easily.. Apache-2 - [GitHub](https://github.com/Lightning-Universe/lightning-flash) (πŸ‘¨β€πŸ’» 87 Β· πŸ”€ 210 Β· πŸ“¦ 300 Β· πŸ“‹ 520 - 4% open Β· ⏱️ 08.10.2023): @@ -7539,7 +7458,7 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/Lightning-AI/lightning-flash ``` -- [PyPi](https://pypi.org/project/lightning-flash) (πŸ“₯ 1.7K / month Β· πŸ“¦ 5 Β· ⏱️ 11.05.2022): +- [PyPi](https://pypi.org/project/lightning-flash) (πŸ“₯ 2K / month Β· πŸ“¦ 5 Β· ⏱️ 11.05.2022): ``` pip install lightning-flash ``` @@ -7567,23 +7486,23 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/rusty1s/pytorch_scatter ``` -- [PyPi](https://pypi.org/project/torch-scatter) (πŸ“₯ 35K / month Β· πŸ“¦ 150 Β· ⏱️ 06.10.2023): +- [PyPi](https://pypi.org/project/torch-scatter) (πŸ“₯ 37K / month Β· πŸ“¦ 150 Β· ⏱️ 06.10.2023): ``` pip install torch-scatter ``` -- [Conda](https://anaconda.org/conda-forge/pytorch_scatter) (πŸ“₯ 480K Β· ⏱️ 24.08.2024): +- [Conda](https://anaconda.org/conda-forge/pytorch_scatter) (πŸ“₯ 490K Β· ⏱️ 24.08.2024): ``` conda install -c conda-forge pytorch_scatter ```
Pytorch Toolbelt (πŸ₯‰23 Β· ⭐ 1.5K) - PyTorch extensions for fast R&D prototyping and Kaggle.. MIT -- [GitHub](https://github.com/BloodAxe/pytorch-toolbelt) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 120 Β· πŸ“₯ 43 Β· πŸ“‹ 33 - 12% open Β· ⏱️ 17.09.2024): +- [GitHub](https://github.com/BloodAxe/pytorch-toolbelt) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 120 Β· πŸ“₯ 43 Β· πŸ“‹ 33 - 12% open Β· ⏱️ 01.10.2024): ``` git clone https://github.com/BloodAxe/pytorch-toolbelt ``` -- [PyPi](https://pypi.org/project/pytorch_toolbelt) (πŸ“₯ 8K / month Β· πŸ“¦ 7 Β· ⏱️ 27.06.2022): +- [PyPi](https://pypi.org/project/pytorch_toolbelt) (πŸ“₯ 7.5K / month Β· πŸ“¦ 7 Β· ⏱️ 27.06.2022): ``` pip install pytorch_toolbelt ``` @@ -7595,30 +7514,31 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/rusty1s/pytorch_sparse ``` -- [PyPi](https://pypi.org/project/torch-sparse) (πŸ“₯ 24K / month Β· πŸ“¦ 120 Β· ⏱️ 06.10.2023): +- [PyPi](https://pypi.org/project/torch-sparse) (πŸ“₯ 25K / month Β· πŸ“¦ 120 Β· ⏱️ 06.10.2023): ``` pip install torch-sparse ``` -- [Conda](https://anaconda.org/conda-forge/pytorch_sparse) (πŸ“₯ 450K Β· ⏱️ 18.09.2024): +- [Conda](https://anaconda.org/conda-forge/pytorch_sparse) (πŸ“₯ 460K Β· ⏱️ 18.09.2024): ``` conda install -c conda-forge pytorch_sparse ```
-
Show 22 hidden projects... +
Show 23 hidden projects... - pretrainedmodels (πŸ₯ˆ29 Β· ⭐ 9K Β· πŸ’€) - Pretrained ConvNets for pytorch: NASNet, ResNeXt,.. BSD-3 +- torchsde (πŸ₯ˆ28 Β· ⭐ 1.6K Β· πŸ’€) - Differentiable SDE solvers with GPU support and efficient.. Apache-2 - EfficientNet-PyTorch (πŸ₯ˆ27 Β· ⭐ 7.9K Β· πŸ’€) - A PyTorch implementation of EfficientNet. Apache-2 - pytorch-summary (πŸ₯ˆ27 Β· ⭐ 4K Β· πŸ’€) - Model summary in PyTorch similar to `model.summary()` in.. MIT - pytorch-optimizer (πŸ₯ˆ26 Β· ⭐ 3K Β· πŸ’€) - torch-optimizer -- collection of optimizers for.. Apache-2 - TabNet (πŸ₯ˆ26 Β· ⭐ 2.6K Β· πŸ’€) - PyTorch implementation of TabNet paper :.. MIT - Higher (πŸ₯‰24 Β· ⭐ 1.6K Β· πŸ’€) - higher is a pytorch library allowing users to obtain higher.. Apache-2 -- micrograd (πŸ₯‰23 Β· ⭐ 10K Β· πŸ’€) - A tiny scalar-valued autograd engine and a neural net library.. MIT - SRU (πŸ₯‰23 Β· ⭐ 2.1K Β· πŸ’€) - Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755). MIT - Torchmeta (πŸ₯‰23 Β· ⭐ 2K Β· πŸ’€) - A collection of extensions and data-loaders for few-shot.. MIT -- Poutyne (πŸ₯‰22 Β· ⭐ 570) - A simplified framework and utilities for PyTorch. ❗️LGPL-3.0 +- micrograd (πŸ₯‰22 Β· ⭐ 10K Β· πŸ’€) - A tiny scalar-valued autograd engine and a neural net library.. MIT - AdaBound (πŸ₯‰21 Β· ⭐ 2.9K Β· πŸ’€) - An optimizer that trains as fast as Adam and as good as SGD. Apache-2 - reformer-pytorch (πŸ₯‰21 Β· ⭐ 2.1K Β· πŸ’€) - Reformer, the efficient Transformer, in Pytorch. MIT - Antialiased CNNs (πŸ₯‰21 Β· ⭐ 1.7K Β· πŸ’€) - pip install antialiased-cnns to improve stability and.. ❗️CC BY-NC-SA 4.0 +- Poutyne (πŸ₯‰21 Β· ⭐ 570) - A simplified framework and utilities for PyTorch. ❗️LGPL-3.0 - Lambda Networks (πŸ₯‰20 Β· ⭐ 1.5K Β· πŸ’€) - Implementation of LambdaNetworks, a new approach to.. MIT - pytorchviz (πŸ₯‰19 Β· ⭐ 3.2K Β· πŸ’€) - A small package to create visualizations of PyTorch execution.. MIT - Torch-Struct (πŸ₯‰19 Β· ⭐ 1.1K Β· πŸ’€) - Fast, general, and tested differentiable structured.. MIT @@ -7647,12 +7567,12 @@ _Libraries for connecting to, operating, and querying databases._
scipy (πŸ₯‡50 Β· ⭐ 13K) - Ecosystem of open-source software for mathematics, science, and engineering. BSD-3 -- [GitHub](https://github.com/scipy/scipy) (πŸ‘¨β€πŸ’» 1.7K Β· πŸ”€ 5.1K Β· πŸ“₯ 410K Β· πŸ“¦ 1.1M Β· πŸ“‹ 11K - 17% open Β· ⏱️ 26.09.2024): +- [GitHub](https://github.com/scipy/scipy) (πŸ‘¨β€πŸ’» 1.7K Β· πŸ”€ 5.1K Β· πŸ“₯ 420K Β· πŸ“¦ 1.1M Β· πŸ“‹ 11K - 16% open Β· ⏱️ 03.10.2024): ``` git clone https://github.com/scipy/scipy ``` -- [PyPi](https://pypi.org/project/scipy) (πŸ“₯ 120M / month Β· πŸ“¦ 45K Β· ⏱️ 21.08.2024): +- [PyPi](https://pypi.org/project/scipy) (πŸ“₯ 130M / month Β· πŸ“¦ 46K Β· ⏱️ 21.08.2024): ``` pip install scipy ``` @@ -7663,52 +7583,52 @@ _Libraries for connecting to, operating, and querying databases._
SymPy (πŸ₯‡49 Β· ⭐ 13K) - A computer algebra system written in pure Python. BSD-3 -- [GitHub](https://github.com/sympy/sympy) (πŸ‘¨β€πŸ’» 1.3K Β· πŸ”€ 4.4K Β· πŸ“₯ 550K Β· πŸ“¦ 170K Β· πŸ“‹ 14K - 36% open Β· ⏱️ 25.09.2024): +- [GitHub](https://github.com/sympy/sympy) (πŸ‘¨β€πŸ’» 1.3K Β· πŸ”€ 4.4K Β· πŸ“₯ 550K Β· πŸ“¦ 170K Β· πŸ“‹ 14K - 36% open Β· ⏱️ 01.10.2024): ``` git clone https://github.com/sympy/sympy ``` -- [PyPi](https://pypi.org/project/sympy) (πŸ“₯ 31M / month Β· πŸ“¦ 3.5K Β· ⏱️ 18.09.2024): +- [PyPi](https://pypi.org/project/sympy) (πŸ“₯ 32M / month Β· πŸ“¦ 3.5K Β· ⏱️ 18.09.2024): ``` pip install sympy ``` -- [Conda](https://anaconda.org/conda-forge/sympy) (πŸ“₯ 6.6M Β· ⏱️ 12.08.2024): +- [Conda](https://anaconda.org/conda-forge/sympy) (πŸ“₯ 6.7M Β· ⏱️ 28.09.2024): ``` conda install -c conda-forge sympy ```
Streamlit (πŸ₯‡46 Β· ⭐ 35K) - Streamlit A faster way to build and share data apps. Apache-2 -- [GitHub](https://github.com/streamlit/streamlit) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 3K Β· πŸ“¦ 520K Β· πŸ“‹ 4.6K - 20% open Β· ⏱️ 25.09.2024): +- [GitHub](https://github.com/streamlit/streamlit) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 3K Β· πŸ“¦ 530K Β· πŸ“‹ 4.6K - 20% open Β· ⏱️ 02.10.2024): ``` git clone https://github.com/streamlit/streamlit ``` -- [PyPi](https://pypi.org/project/streamlit) (πŸ“₯ 6.2M / month Β· πŸ“¦ 2.7K Β· ⏱️ 23.09.2024): +- [PyPi](https://pypi.org/project/streamlit) (πŸ“₯ 6.4M / month Β· πŸ“¦ 2.7K Β· ⏱️ 01.10.2024): ``` pip install streamlit ```
Gradio (πŸ₯‡44 Β· ⭐ 32K) - Wrap UIs around any model, share with anyone. Apache-2 -- [GitHub](https://github.com/gradio-app/gradio) (πŸ‘¨β€πŸ’» 380 Β· πŸ”€ 2.4K Β· πŸ“¦ 42K Β· πŸ“‹ 4.8K - 11% open Β· ⏱️ 19.09.2024): +- [GitHub](https://github.com/gradio-app/gradio) (πŸ‘¨β€πŸ’» 390 Β· πŸ”€ 2.4K Β· πŸ“¦ 42K Β· πŸ“‹ 4.8K - 11% open Β· ⏱️ 03.10.2024): ``` git clone https://github.com/gradio-app/gradio ``` -- [PyPi](https://pypi.org/project/gradio) (πŸ“₯ 6.3M / month Β· πŸ“¦ 770 Β· ⏱️ 23.09.2024): +- [PyPi](https://pypi.org/project/gradio) (πŸ“₯ 6.4M / month Β· πŸ“¦ 780 Β· ⏱️ 30.09.2024): ``` pip install gradio ```
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PyOD (πŸ₯‡36 Β· ⭐ 8.5K Β· πŸ“‰) - A Python Library for Outlier and Anomaly Detection, Integrating.. BSD-2 +
PyOD (πŸ₯‡36 Β· ⭐ 8.5K) - A Python Library for Outlier and Anomaly Detection, Integrating Classical.. BSD-2 - [GitHub](https://github.com/yzhao062/pyod) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 1.4K Β· πŸ“¦ 4.2K Β· πŸ“‹ 370 - 60% open Β· ⏱️ 05.09.2024): ``` git clone https://github.com/yzhao062/pyod ``` -- [PyPi](https://pypi.org/project/pyod) (πŸ“₯ 660K / month Β· πŸ“¦ 110 Β· ⏱️ 06.09.2024): +- [PyPi](https://pypi.org/project/pyod) (πŸ“₯ 670K / month Β· πŸ“¦ 110 Β· ⏱️ 06.09.2024): ``` pip install pyod ``` @@ -7717,14 +7637,14 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge pyod ```
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Autograd (πŸ₯‡36 Β· ⭐ 6.9K) - Efficiently computes derivatives of NumPy code. MIT +
Autograd (πŸ₯‡36 Β· ⭐ 7K) - Efficiently computes derivatives of NumPy code. MIT -- [GitHub](https://github.com/HIPS/autograd) (πŸ‘¨β€πŸ’» 59 Β· πŸ”€ 900 Β· πŸ“¦ 9.5K Β· πŸ“‹ 420 - 42% open Β· ⏱️ 25.09.2024): +- [GitHub](https://github.com/HIPS/autograd) (πŸ‘¨β€πŸ’» 59 Β· πŸ”€ 900 Β· πŸ“¦ 9.6K Β· πŸ“‹ 420 - 42% open Β· ⏱️ 30.09.2024): ``` git clone https://github.com/HIPS/autograd ``` -- [PyPi](https://pypi.org/project/autograd) (πŸ“₯ 2.1M / month Β· πŸ“¦ 280 Β· ⏱️ 22.08.2024): +- [PyPi](https://pypi.org/project/autograd) (πŸ“₯ 2.2M / month Β· πŸ“¦ 280 Β· ⏱️ 22.08.2024): ``` pip install autograd ``` @@ -7733,30 +7653,14 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge autograd ```
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DeepChem (πŸ₯‡36 Β· ⭐ 5.4K) - Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry,.. MIT - -- [GitHub](https://github.com/deepchem/deepchem) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 1.7K Β· πŸ“¦ 430 Β· πŸ“‹ 1.9K - 33% open Β· ⏱️ 20.09.2024): - - ``` - git clone https://github.com/deepchem/deepchem - ``` -- [PyPi](https://pypi.org/project/deepchem) (πŸ“₯ 40K / month Β· πŸ“¦ 13 Β· ⏱️ 20.09.2024): - ``` - pip install deepchem - ``` -- [Conda](https://anaconda.org/conda-forge/deepchem) (πŸ“₯ 110K Β· ⏱️ 05.04.2024): - ``` - conda install -c conda-forge deepchem - ``` -
PennyLane (πŸ₯‡36 Β· ⭐ 2.3K) - PennyLane is a cross-platform Python library for quantum.. Apache-2 -- [GitHub](https://github.com/PennyLaneAI/pennylane) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 590 Β· πŸ“₯ 95 Β· πŸ“¦ 1.1K Β· πŸ“‹ 1.4K - 21% open Β· ⏱️ 26.09.2024): +- [GitHub](https://github.com/PennyLaneAI/pennylane) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 590 Β· πŸ“₯ 95 Β· πŸ“¦ 1.1K Β· πŸ“‹ 1.4K - 21% open Β· ⏱️ 03.10.2024): ``` git clone https://github.com/PennyLaneAI/PennyLane ``` -- [PyPi](https://pypi.org/project/pennylane) (πŸ“₯ 69K / month Β· πŸ“¦ 110 Β· ⏱️ 12.09.2024): +- [PyPi](https://pypi.org/project/pennylane) (πŸ“₯ 69K / month Β· πŸ“¦ 120 Β· ⏱️ 12.09.2024): ``` pip install pennylane ``` @@ -7772,7 +7676,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/simonw/datasette ``` -- [PyPi](https://pypi.org/project/datasette) (πŸ“₯ 56K / month Β· πŸ“¦ 410 Β· ⏱️ 06.09.2024): +- [PyPi](https://pypi.org/project/datasette) (πŸ“₯ 58K / month Β· πŸ“¦ 410 Β· ⏱️ 06.09.2024): ``` pip install datasette ``` @@ -7781,9 +7685,9 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge datasette ```
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carla (πŸ₯ˆ34 Β· ⭐ 11K Β· πŸ“‰) - Open-source simulator for autonomous driving research. MIT +
carla (πŸ₯ˆ34 Β· ⭐ 11K) - Open-source simulator for autonomous driving research. MIT -- [GitHub](https://github.com/carla-simulator/carla) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 3.6K Β· πŸ“¦ 810 Β· πŸ“‹ 5.5K - 19% open Β· ⏱️ 25.09.2024): +- [GitHub](https://github.com/carla-simulator/carla) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 3.6K Β· πŸ“¦ 810 Β· πŸ“‹ 5.5K - 19% open Β· ⏱️ 27.09.2024): ``` git clone https://github.com/carla-simulator/carla @@ -7793,25 +7697,41 @@ _Libraries for connecting to, operating, and querying databases._ pip install carla ```
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agate (πŸ₯ˆ34 Β· ⭐ 1.2K) - A Python data analysis library that is optimized for humans instead of.. MIT +
DeepChem (πŸ₯ˆ34 Β· ⭐ 5.4K Β· πŸ“‰) - Democratizing Deep-Learning for Drug Discovery, Quantum.. MIT -- [GitHub](https://github.com/wireservice/agate) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 160 Β· πŸ“¦ 3.8K Β· πŸ“‹ 650 - 0% open Β· ⏱️ 30.07.2024): +- [GitHub](https://github.com/deepchem/deepchem) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 1.7K Β· πŸ“¦ 430 Β· πŸ“‹ 1.9K - 33% open Β· ⏱️ 20.09.2024): ``` - git clone https://github.com/wireservice/agate + git clone https://github.com/deepchem/deepchem ``` -- [PyPi](https://pypi.org/project/agate) (πŸ“₯ 10M / month Β· πŸ“¦ 49 Β· ⏱️ 30.07.2024): +- [PyPi](https://pypi.org/project/deepchem) (πŸ“₯ 44K / month Β· πŸ“¦ 13 Β· ⏱️ 20.09.2024): ``` - pip install agate + pip install deepchem ``` -- [Conda](https://anaconda.org/conda-forge/agate) (πŸ“₯ 230K Β· ⏱️ 30.07.2024): +- [Conda](https://anaconda.org/conda-forge/deepchem) (πŸ“₯ 110K Β· ⏱️ 05.04.2024): ``` - conda install -c conda-forge agate + conda install -c conda-forge deepchem + ``` +
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hdbscan (πŸ₯ˆ33 Β· ⭐ 2.8K Β· πŸ“ˆ) - A high performance implementation of HDBSCAN clustering. BSD-3 + +- [GitHub](https://github.com/scikit-learn-contrib/hdbscan) (πŸ‘¨β€πŸ’» 92 Β· πŸ”€ 490 Β· πŸ“¦ 4.1K Β· πŸ“‹ 530 - 67% open Β· ⏱️ 15.08.2024): + + ``` + git clone https://github.com/scikit-learn-contrib/hdbscan + ``` +- [PyPi](https://pypi.org/project/hdbscan) (πŸ“₯ 600K / month Β· πŸ“¦ 330 Β· ⏱️ 05.08.2024): + ``` + pip install hdbscan + ``` +- [Conda](https://anaconda.org/conda-forge/hdbscan) (πŸ“₯ 2.1M Β· ⏱️ 12.09.2024): + ``` + conda install -c conda-forge hdbscan ```
Pythran (πŸ₯ˆ33 Β· ⭐ 2K) - Ahead of Time compiler for numeric kernels. BSD-3 -- [GitHub](https://github.com/serge-sans-paille/pythran) (πŸ‘¨β€πŸ’» 73 Β· πŸ”€ 190 Β· πŸ“¦ 2.6K Β· πŸ“‹ 860 - 15% open Β· ⏱️ 23.09.2024): +- [GitHub](https://github.com/serge-sans-paille/pythran) (πŸ‘¨β€πŸ’» 73 Β· πŸ”€ 190 Β· πŸ“¦ 2.6K Β· πŸ“‹ 870 - 15% open Β· ⏱️ 23.09.2024): ``` git clone https://github.com/serge-sans-paille/pythran @@ -7820,19 +7740,19 @@ _Libraries for connecting to, operating, and querying databases._ ``` pip install pythran ``` -- [Conda](https://anaconda.org/conda-forge/pythran) (πŸ“₯ 710K Β· ⏱️ 03.09.2024): +- [Conda](https://anaconda.org/conda-forge/pythran) (πŸ“₯ 720K Β· ⏱️ 03.09.2024): ``` conda install -c conda-forge pythran ```
tensorly (πŸ₯ˆ33 Β· ⭐ 1.5K) - TensorLy: Tensor Learning in Python. BSD-2 -- [GitHub](https://github.com/tensorly/tensorly) (πŸ‘¨β€πŸ’» 68 Β· πŸ”€ 290 Β· πŸ“¦ 750 Β· πŸ“‹ 270 - 21% open Β· ⏱️ 15.08.2024): +- [GitHub](https://github.com/tensorly/tensorly) (πŸ‘¨β€πŸ’» 69 Β· πŸ”€ 290 Β· πŸ“¦ 760 Β· πŸ“‹ 270 - 21% open Β· ⏱️ 28.09.2024): ``` git clone https://github.com/tensorly/tensorly ``` -- [PyPi](https://pypi.org/project/tensorly) (πŸ“₯ 92K / month Β· πŸ“¦ 92 Β· ⏱️ 08.03.2023): +- [PyPi](https://pypi.org/project/tensorly) (πŸ“₯ 99K / month Β· πŸ“¦ 92 Β· ⏱️ 08.03.2023): ``` pip install tensorly ``` @@ -7841,20 +7761,20 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge tensorly ```
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datalad (πŸ₯ˆ33 Β· ⭐ 530 Β· πŸ“ˆ) - Keep code, data, containers under control with git and git-annex. MIT +
agate (πŸ₯ˆ33 Β· ⭐ 1.2K) - A Python data analysis library that is optimized for humans instead of.. MIT -- [GitHub](https://github.com/datalad/datalad) (πŸ‘¨β€πŸ’» 57 Β· πŸ”€ 110 Β· πŸ“¦ 420 Β· πŸ“‹ 3.9K - 13% open Β· ⏱️ 10.09.2024): +- [GitHub](https://github.com/wireservice/agate) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 160 Β· πŸ“¦ 3.8K Β· πŸ“‹ 650 - 0% open Β· ⏱️ 30.07.2024): ``` - git clone https://github.com/datalad/datalad + git clone https://github.com/wireservice/agate ``` -- [PyPi](https://pypi.org/project/datalad) (πŸ“₯ 50K / month Β· πŸ“¦ 95 Β· ⏱️ 08.08.2024): +- [PyPi](https://pypi.org/project/agate) (πŸ“₯ 11M / month Β· πŸ“¦ 49 Β· ⏱️ 30.07.2024): ``` - pip install datalad + pip install agate ``` -- [Conda](https://anaconda.org/conda-forge/datalad) (πŸ“₯ 610K Β· ⏱️ 08.08.2024): +- [Conda](https://anaconda.org/conda-forge/agate) (πŸ“₯ 240K Β· ⏱️ 30.07.2024): ``` - conda install -c conda-forge datalad + conda install -c conda-forge agate ```
River (πŸ₯ˆ32 Β· ⭐ 5K) - Online machine learning in Python. BSD-3 @@ -7864,29 +7784,29 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/online-ml/river ``` -- [PyPi](https://pypi.org/project/river) (πŸ“₯ 64K / month Β· πŸ“¦ 54 Β· ⏱️ 09.07.2024): +- [PyPi](https://pypi.org/project/river) (πŸ“₯ 72K / month Β· πŸ“¦ 54 Β· ⏱️ 09.07.2024): ``` pip install river ``` -- [Conda](https://anaconda.org/conda-forge/river) (πŸ“₯ 79K Β· ⏱️ 06.10.2023): +- [Conda](https://anaconda.org/conda-forge/river) (πŸ“₯ 80K Β· ⏱️ 06.10.2023): ``` conda install -c conda-forge river ```
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pyopencl (πŸ₯ˆ32 Β· ⭐ 1.1K) - OpenCL integration for Python, plus shiny features. MIT +
datalad (πŸ₯ˆ32 Β· ⭐ 530) - Keep code, data, containers under control with git and git-annex. MIT -- [GitHub](https://github.com/inducer/pyopencl) (πŸ‘¨β€πŸ’» 96 Β· πŸ”€ 240 Β· πŸ“¦ 2K Β· πŸ“‹ 350 - 21% open Β· ⏱️ 30.08.2024): +- [GitHub](https://github.com/datalad/datalad) (πŸ‘¨β€πŸ’» 57 Β· πŸ”€ 110 Β· πŸ“¦ 420 Β· πŸ“‹ 3.9K - 13% open Β· ⏱️ 30.09.2024): ``` - git clone https://github.com/inducer/pyopencl + git clone https://github.com/datalad/datalad ``` -- [PyPi](https://pypi.org/project/pyopencl) (πŸ“₯ 68K / month Β· πŸ“¦ 170 Β· ⏱️ 25.06.2024): +- [PyPi](https://pypi.org/project/datalad) (πŸ“₯ 50K / month Β· πŸ“¦ 95 Β· ⏱️ 08.08.2024): ``` - pip install pyopencl + pip install datalad ``` -- [Conda](https://anaconda.org/conda-forge/pyopencl) (πŸ“₯ 1.3M Β· ⏱️ 26.06.2024): +- [Conda](https://anaconda.org/conda-forge/datalad) (πŸ“₯ 620K Β· ⏱️ 08.08.2024): ``` - conda install -c conda-forge pyopencl + conda install -c conda-forge datalad ```
PaddleHub (πŸ₯ˆ31 Β· ⭐ 13K) - Awesome pre-trained models toolkit based on PaddlePaddle... Apache-2 @@ -7896,75 +7816,75 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/PaddlePaddle/PaddleHub ``` -- [PyPi](https://pypi.org/project/paddlehub) (πŸ“₯ 5.2K / month Β· πŸ“¦ 7 Β· ⏱️ 20.09.2023): +- [PyPi](https://pypi.org/project/paddlehub) (πŸ“₯ 5.1K / month Β· πŸ“¦ 7 Β· ⏱️ 20.09.2023): ``` pip install paddlehub ```
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hdbscan (πŸ₯ˆ31 Β· ⭐ 2.8K Β· πŸ“‰) - A high performance implementation of HDBSCAN clustering. BSD-3 +
pyjanitor (πŸ₯ˆ31 Β· ⭐ 1.3K) - Clean APIs for data cleaning. Python implementation of R package.. MIT -- [GitHub](https://github.com/scikit-learn-contrib/hdbscan) (πŸ‘¨β€πŸ’» 92 Β· πŸ”€ 490 Β· πŸ“‹ 530 - 67% open Β· ⏱️ 15.08.2024): +- [GitHub](https://github.com/pyjanitor-devs/pyjanitor) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 170 Β· πŸ“¦ 720 Β· πŸ“‹ 560 - 19% open Β· ⏱️ 02.10.2024): ``` - git clone https://github.com/scikit-learn-contrib/hdbscan + git clone https://github.com/pyjanitor-devs/pyjanitor ``` -- [PyPi](https://pypi.org/project/hdbscan) (πŸ“₯ 590K / month Β· πŸ“¦ 330 Β· ⏱️ 05.08.2024): +- [PyPi](https://pypi.org/project/pyjanitor) (πŸ“₯ 87K / month Β· πŸ“¦ 32 Β· ⏱️ 28.09.2024): ``` - pip install hdbscan + pip install pyjanitor ``` -- [Conda](https://anaconda.org/conda-forge/hdbscan) (πŸ“₯ 2.1M Β· ⏱️ 12.09.2024): +- [Conda](https://anaconda.org/conda-forge/pyjanitor) (πŸ“₯ 210K Β· ⏱️ 28.09.2024): ``` - conda install -c conda-forge hdbscan + conda install -c conda-forge pyjanitor ```
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pyjanitor (πŸ₯ˆ31 Β· ⭐ 1.3K) - Clean APIs for data cleaning. Python implementation of R package.. MIT +
pyopencl (πŸ₯ˆ31 Β· ⭐ 1.1K) - OpenCL integration for Python, plus shiny features. MIT -- [GitHub](https://github.com/pyjanitor-devs/pyjanitor) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 170 Β· πŸ“¦ 700 Β· πŸ“‹ 560 - 19% open Β· ⏱️ 23.09.2024): +- [GitHub](https://github.com/inducer/pyopencl) (πŸ‘¨β€πŸ’» 96 Β· πŸ”€ 240 Β· πŸ“¦ 2K Β· πŸ“‹ 350 - 21% open Β· ⏱️ 30.08.2024): ``` - git clone https://github.com/pyjanitor-devs/pyjanitor + git clone https://github.com/inducer/pyopencl ``` -- [PyPi](https://pypi.org/project/pyjanitor) (πŸ“₯ 86K / month Β· πŸ“¦ 32 Β· ⏱️ 23.09.2024): +- [PyPi](https://pypi.org/project/pyopencl) (πŸ“₯ 74K / month Β· πŸ“¦ 170 Β· ⏱️ 25.06.2024): ``` - pip install pyjanitor + pip install pyopencl ``` -- [Conda](https://anaconda.org/conda-forge/pyjanitor) (πŸ“₯ 210K Β· ⏱️ 24.09.2024): +- [Conda](https://anaconda.org/conda-forge/pyopencl) (πŸ“₯ 1.3M Β· ⏱️ 26.06.2024): ``` - conda install -c conda-forge pyjanitor + conda install -c conda-forge pyopencl ```
causalml (πŸ₯ˆ29 Β· ⭐ 5K) - Uplift modeling and causal inference with machine learning algorithms. Apache-2 -- [GitHub](https://github.com/uber/causalml) (πŸ‘¨β€πŸ’» 63 Β· πŸ”€ 760 Β· πŸ“¦ 220 Β· πŸ“‹ 390 - 13% open Β· ⏱️ 14.09.2024): +- [GitHub](https://github.com/uber/causalml) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 770 Β· πŸ“¦ 220 Β· πŸ“‹ 400 - 13% open Β· ⏱️ 01.10.2024): ``` git clone https://github.com/uber/causalml ``` -- [PyPi](https://pypi.org/project/causalml) (πŸ“₯ 48K / month Β· πŸ“¦ 1 Β· ⏱️ 19.04.2024): +- [PyPi](https://pypi.org/project/causalml) (πŸ“₯ 49K / month Β· πŸ“¦ 2 Β· ⏱️ 01.10.2024): ``` pip install causalml ```
anomalib (πŸ₯ˆ29 Β· ⭐ 3.7K) - An anomaly detection library comprising state-of-the-art algorithms.. Apache-2 -- [GitHub](https://github.com/openvinotoolkit/anomalib) (πŸ‘¨β€πŸ’» 80 Β· πŸ”€ 640 Β· πŸ“₯ 14K Β· πŸ“¦ 93 Β· πŸ“‹ 900 - 13% open Β· ⏱️ 26.09.2024): +- [GitHub](https://github.com/openvinotoolkit/anomalib) (πŸ‘¨β€πŸ’» 81 Β· πŸ”€ 650 Β· πŸ“₯ 14K Β· πŸ“¦ 96 Β· πŸ“‹ 900 - 13% open Β· ⏱️ 03.10.2024): ``` git clone https://github.com/openvinotoolkit/anomalib ``` -- [PyPi](https://pypi.org/project/anomalib) (πŸ“₯ 40K / month Β· πŸ“¦ 5 Β· ⏱️ 12.08.2024): +- [PyPi](https://pypi.org/project/anomalib) (πŸ“₯ 46K / month Β· πŸ“¦ 5 Β· ⏱️ 12.08.2024): ``` pip install anomalib ```
Prince (πŸ₯ˆ29 Β· ⭐ 1.3K) - Multivariate exploratory data analysis in Python PCA, CA, MCA, MFA,.. MIT -- [GitHub](https://github.com/MaxHalford/prince) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 180 Β· πŸ“¦ 600 Β· πŸ“‹ 140 - 6% open Β· ⏱️ 07.09.2024): +- [GitHub](https://github.com/MaxHalford/prince) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 180 Β· πŸ“¦ 610 Β· πŸ“‹ 140 - 6% open Β· ⏱️ 07.09.2024): ``` git clone https://github.com/MaxHalford/prince ``` -- [PyPi](https://pypi.org/project/prince) (πŸ“₯ 180K / month Β· πŸ“¦ 18 Β· ⏱️ 07.09.2024): +- [PyPi](https://pypi.org/project/prince) (πŸ“₯ 190K / month Β· πŸ“¦ 18 Β· ⏱️ 07.09.2024): ``` pip install prince ``` @@ -7980,7 +7900,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/tableau/TabPy ``` -- [PyPi](https://pypi.org/project/tabpy) (πŸ“₯ 7.2K / month Β· πŸ“¦ 2 Β· ⏱️ 23.09.2024): +- [PyPi](https://pypi.org/project/tabpy) (πŸ“₯ 7.1K / month Β· πŸ“¦ 2 Β· ⏱️ 23.09.2024): ``` pip install tabpy ``` @@ -7991,12 +7911,12 @@ _Libraries for connecting to, operating, and querying databases._
dstack (πŸ₯ˆ28 Β· ⭐ 1.3K) - dstack is an open-source alternative to Kubernetes, designed to.. MPL-2.0 -- [GitHub](https://github.com/dstackai/dstack) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 98 Β· πŸ“¦ 15 Β· πŸ“‹ 910 - 10% open Β· ⏱️ 26.09.2024): +- [GitHub](https://github.com/dstackai/dstack) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 100 Β· πŸ“¦ 15 Β· πŸ“‹ 940 - 11% open Β· ⏱️ 03.10.2024): ``` git clone https://github.com/dstackai/dstack ``` -- [PyPi](https://pypi.org/project/dstack) (πŸ“₯ 6.5K / month Β· ⏱️ 25.09.2024): +- [PyPi](https://pypi.org/project/dstack) (πŸ“₯ 6.9K / month Β· ⏱️ 30.09.2024): ``` pip install dstack ``` @@ -8008,7 +7928,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/nicodv/kmodes ``` -- [PyPi](https://pypi.org/project/kmodes) (πŸ“₯ 270K / month Β· πŸ“¦ 38 Β· ⏱️ 06.09.2022): +- [PyPi](https://pypi.org/project/kmodes) (πŸ“₯ 280K / month Β· πŸ“¦ 38 Β· ⏱️ 06.09.2022): ``` pip install kmodes ``` @@ -8019,12 +7939,12 @@ _Libraries for connecting to, operating, and querying databases._
adapter-transformers (πŸ₯‰27 Β· ⭐ 2.5K) - A Unified Library for Parameter-Efficient and Modular.. Apache-2 huggingface -- [GitHub](https://github.com/adapter-hub/adapters) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 340 Β· πŸ“¦ 98 Β· πŸ“‹ 380 - 10% open Β· ⏱️ 22.08.2024): +- [GitHub](https://github.com/adapter-hub/adapters) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 340 Β· πŸ“¦ 100 Β· πŸ“‹ 380 - 10% open Β· ⏱️ 22.08.2024): ``` git clone https://github.com/Adapter-Hub/adapter-transformers ``` -- [PyPi](https://pypi.org/project/adapter-transformers) (πŸ“₯ 20K / month Β· πŸ“¦ 12 Β· ⏱️ 07.07.2024): +- [PyPi](https://pypi.org/project/adapter-transformers) (πŸ“₯ 21K / month Β· πŸ“¦ 12 Β· ⏱️ 07.07.2024): ``` pip install adapter-transformers ``` @@ -8036,23 +7956,23 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/annoviko/pyclustering ``` -- [PyPi](https://pypi.org/project/pyclustering) (πŸ“₯ 29K / month Β· πŸ“¦ 32 Β· ⏱️ 25.11.2020): +- [PyPi](https://pypi.org/project/pyclustering) (πŸ“₯ 28K / month Β· πŸ“¦ 32 Β· ⏱️ 25.11.2020): ``` pip install pyclustering ``` -- [Conda](https://anaconda.org/conda-forge/pyclustering) (πŸ“₯ 88K Β· ⏱️ 16.11.2023): +- [Conda](https://anaconda.org/conda-forge/pyclustering) (πŸ“₯ 89K Β· ⏱️ 16.11.2023): ``` conda install -c conda-forge pyclustering ```
Trax (πŸ₯‰26 Β· ⭐ 8.1K) - Trax Deep Learning with Clear Code and Speed. Apache-2 -- [GitHub](https://github.com/google/trax) (πŸ‘¨β€πŸ’» 80 Β· πŸ”€ 810 Β· πŸ“¦ 170 Β· πŸ“‹ 250 - 49% open Β· ⏱️ 10.09.2024): +- [GitHub](https://github.com/google/trax) (πŸ‘¨β€πŸ’» 80 Β· πŸ”€ 810 Β· πŸ“¦ 180 Β· πŸ“‹ 250 - 49% open Β· ⏱️ 10.09.2024): ``` git clone https://github.com/google/trax ``` -- [PyPi](https://pypi.org/project/trax) (πŸ“₯ 5.1K / month Β· πŸ“¦ 1 Β· ⏱️ 26.10.2021): +- [PyPi](https://pypi.org/project/trax) (πŸ“₯ 5.5K / month Β· πŸ“¦ 1 Β· ⏱️ 26.10.2021): ``` pip install trax ``` @@ -8075,7 +7995,7 @@ _Libraries for connecting to, operating, and querying databases._
avalanche (πŸ₯‰26 Β· ⭐ 1.8K) - Avalanche: an End-to-End Library for Continual Learning based on.. MIT -- [GitHub](https://github.com/ContinualAI/avalanche) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 290 Β· πŸ“₯ 34 Β· πŸ“¦ 100 Β· πŸ“‹ 810 - 11% open Β· ⏱️ 03.06.2024): +- [GitHub](https://github.com/ContinualAI/avalanche) (πŸ‘¨β€πŸ’» 80 Β· πŸ”€ 290 Β· πŸ“₯ 35 Β· πŸ“¦ 100 Β· πŸ“‹ 810 - 11% open Β· ⏱️ 03.06.2024): ``` git clone https://github.com/ContinualAI/avalanche @@ -8092,7 +8012,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/facebookresearch/AugLy ``` -- [PyPi](https://pypi.org/project/augly) (πŸ“₯ 3K / month Β· πŸ“¦ 4 Β· ⏱️ 05.12.2023): +- [PyPi](https://pypi.org/project/augly) (πŸ“₯ 2.8K / month Β· πŸ“¦ 4 Β· ⏱️ 05.12.2023): ``` pip install augly ``` @@ -8104,7 +8024,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/scikit-learn-contrib/metric-learn ``` -- [PyPi](https://pypi.org/project/metric-learn) (πŸ“₯ 5K / month Β· πŸ“¦ 7 Β· ⏱️ 09.10.2023): +- [PyPi](https://pypi.org/project/metric-learn) (πŸ“₯ 4.8K / month Β· πŸ“¦ 7 Β· ⏱️ 09.10.2023): ``` pip install metric-learn ``` @@ -8127,12 +8047,12 @@ _Libraries for connecting to, operating, and querying databases._
BioPandas (πŸ₯‰24 Β· ⭐ 710) - Working with molecular structures in pandas DataFrames. BSD-3 -- [GitHub](https://github.com/BioPandas/biopandas) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 120 Β· πŸ“¦ 280 Β· πŸ“‹ 59 - 35% open Β· ⏱️ 01.08.2024): +- [GitHub](https://github.com/BioPandas/biopandas) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 120 Β· πŸ“¦ 290 Β· πŸ“‹ 59 - 35% open Β· ⏱️ 01.08.2024): ``` git clone https://github.com/rasbt/biopandas ``` -- [PyPi](https://pypi.org/project/biopandas) (πŸ“₯ 26K / month Β· πŸ“¦ 38 Β· ⏱️ 01.08.2024): +- [PyPi](https://pypi.org/project/biopandas) (πŸ“₯ 16K / month Β· πŸ“¦ 38 Β· ⏱️ 01.08.2024): ``` pip install biopandas ``` @@ -8143,24 +8063,24 @@ _Libraries for connecting to, operating, and querying databases._
MONAILabel (πŸ₯‰23 Β· ⭐ 600) - MONAI Label is an intelligent open source image labeling and.. Apache-2 -- [GitHub](https://github.com/Project-MONAI/MONAILabel) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 190 Β· πŸ“₯ 94K Β· πŸ“‹ 530 - 24% open Β· ⏱️ 25.09.2024): +- [GitHub](https://github.com/Project-MONAI/MONAILabel) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 190 Β· πŸ“₯ 94K Β· πŸ“‹ 530 - 24% open Β· ⏱️ 27.09.2024): ``` git clone https://github.com/Project-MONAI/MONAILabel ``` -- [PyPi](https://pypi.org/project/monailabel-weekly) (πŸ“₯ 1.2K / month Β· ⏱️ 01.10.2023): +- [PyPi](https://pypi.org/project/monailabel-weekly) (πŸ“₯ 1.4K / month Β· ⏱️ 01.10.2023): ``` pip install monailabel-weekly ```
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AstroML (πŸ₯‰22 Β· ⭐ 1K Β· πŸ’€) - Machine learning, statistics, and data mining for astronomy and.. BSD-2 +
AstroML (πŸ₯‰22 Β· ⭐ 1.1K Β· πŸ’€) - Machine learning, statistics, and data mining for astronomy.. BSD-2 - [GitHub](https://github.com/astroML/astroML) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 290 Β· πŸ“‹ 160 - 38% open Β· ⏱️ 04.01.2024): ``` git clone https://github.com/astroML/astroML ``` -- [PyPi](https://pypi.org/project/astroML) (πŸ“₯ 1.5K / month Β· πŸ“¦ 16 Β· ⏱️ 01.03.2022): +- [PyPi](https://pypi.org/project/astroML) (πŸ“₯ 1.7K / month Β· πŸ“¦ 16 Β· ⏱️ 01.03.2022): ``` pip install astroML ``` @@ -8169,18 +8089,6 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge astroml ```
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benchmark_VAE (πŸ₯‰21 Β· ⭐ 1.8K) - Unifying Variational Autoencoder (VAE) implementations.. Apache-2 - -- [GitHub](https://github.com/clementchadebec/benchmark_VAE) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 160 Β· πŸ“¦ 31 Β· πŸ“‹ 65 - 36% open Β· ⏱️ 17.07.2024): - - ``` - git clone https://github.com/clementchadebec/benchmark_VAE - ``` -- [PyPi](https://pypi.org/project/pythae) (πŸ“₯ 2.4K / month Β· ⏱️ 06.09.2023): - ``` - pip install pythae - ``` -
pykale (πŸ₯‰21 Β· ⭐ 440) - Knowledge-Aware machine LEarning (KALE): accessible machine learning.. MIT - [GitHub](https://github.com/pykale/pykale) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 63 Β· πŸ“¦ 3 Β· πŸ“‹ 120 - 8% open Β· ⏱️ 24.09.2024): @@ -8188,7 +8096,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/pykale/pykale ``` -- [PyPi](https://pypi.org/project/pykale) (πŸ“₯ 260 / month Β· ⏱️ 12.04.2022): +- [PyPi](https://pypi.org/project/pykale) (πŸ“₯ 300 / month Β· ⏱️ 12.04.2022): ``` pip install pykale ``` @@ -8200,31 +8108,43 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/yzhao062/SUOD ``` -- [PyPi](https://pypi.org/project/suod) (πŸ“₯ 10K / month Β· πŸ“¦ 8 Β· ⏱️ 08.02.2024): +- [PyPi](https://pypi.org/project/suod) (πŸ“₯ 9.9K / month Β· πŸ“¦ 8 Β· ⏱️ 08.02.2024): ``` pip install suod ```
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pymdp (πŸ₯‰20 Β· ⭐ 450) - A Python implementation of active inference for Markov Decision Processes. MIT +
benchmark_VAE (πŸ₯‰20 Β· ⭐ 1.8K) - Unifying Variational Autoencoder (VAE) implementations.. Apache-2 + +- [GitHub](https://github.com/clementchadebec/benchmark_VAE) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 160 Β· πŸ“¦ 31 Β· πŸ“‹ 65 - 36% open Β· ⏱️ 17.07.2024): + + ``` + git clone https://github.com/clementchadebec/benchmark_VAE + ``` +- [PyPi](https://pypi.org/project/pythae) (πŸ“₯ 2.4K / month Β· ⏱️ 06.09.2023): + ``` + pip install pythae + ``` +
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pymdp (πŸ₯‰19 Β· ⭐ 450) - A Python implementation of active inference for Markov Decision Processes. MIT - [GitHub](https://github.com/infer-actively/pymdp) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 84 Β· πŸ“¦ 12 Β· πŸ“‹ 42 - 35% open Β· ⏱️ 16.07.2024): ``` git clone https://github.com/infer-actively/pymdp ``` -- [PyPi](https://pypi.org/project/inferactively-pymdp) (πŸ“₯ 390 / month Β· ⏱️ 08.12.2022): +- [PyPi](https://pypi.org/project/inferactively-pymdp) (πŸ“₯ 440 / month Β· ⏱️ 08.12.2022): ``` pip install inferactively-pymdp ```
NeuralCompression (πŸ₯‰16 Β· ⭐ 500) - A collection of tools for neural compression enthusiasts. MIT -- [GitHub](https://github.com/facebookresearch/NeuralCompression) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 42 Β· πŸ“‹ 71 - 8% open Β· ⏱️ 20.09.2024): +- [GitHub](https://github.com/facebookresearch/NeuralCompression) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 43 Β· πŸ“‹ 71 - 8% open Β· ⏱️ 20.09.2024): ``` git clone https://github.com/facebookresearch/NeuralCompression ``` -- [PyPi](https://pypi.org/project/neuralcompression) (πŸ“₯ 160 / month Β· ⏱️ 03.10.2023): +- [PyPi](https://pypi.org/project/neuralcompression) (πŸ“₯ 190 / month Β· ⏱️ 03.10.2023): ``` pip install neuralcompression ``` @@ -8233,10 +8153,10 @@ _Libraries for connecting to, operating, and querying databases._ - cleanlab (πŸ₯ˆ32 Β· ⭐ 9.4K) - The standard data-centric AI package for data quality and machine.. ❗️AGPL-3.0 - Cython BLIS (πŸ₯ˆ31 Β· ⭐ 220) - Fast matrix-multiplication as a self-contained Python library no.. BSD-3 -- alibi-detect (πŸ₯ˆ29 Β· ⭐ 2.2K) - Algorithms for outlier, adversarial and drift detection. ❗️Intel -- pysc2 (πŸ₯ˆ28 Β· ⭐ 8K Β· πŸ’€) - StarCraft II Learning Environment. Apache-2 +- alibi-detect (πŸ₯ˆ28 Β· ⭐ 2.2K) - Algorithms for outlier, adversarial and drift detection. ❗️Intel - minisom (πŸ₯ˆ28 Β· ⭐ 1.4K) - MiniSom is a minimalistic implementation of the Self Organizing.. ❗️CC-BY-3.0 - PySwarms (πŸ₯ˆ28 Β· ⭐ 1.3K Β· πŸ’€) - A research toolkit for particle swarm optimization in Python. MIT +- pysc2 (πŸ₯‰27 Β· ⭐ 8K Β· πŸ’€) - StarCraft II Learning Environment. Apache-2 - modAL (πŸ₯‰27 Β· ⭐ 2.2K Β· πŸ’€) - A modular active learning framework for Python. MIT - gplearn (πŸ₯‰26 Β· ⭐ 1.6K Β· πŸ’€) - Genetic Programming in Python, with a scikit-learn inspired API. BSD-3 - pycm (πŸ₯‰26 Β· ⭐ 1.4K Β· πŸ’€) - Multi-class confusion matrix library in Python. MIT @@ -8249,7 +8169,7 @@ _Libraries for connecting to, operating, and querying databases._ - apricot (πŸ₯‰21 Β· ⭐ 500 Β· πŸ’€) - apricot implements submodular optimization for the purpose of.. MIT - impyute (πŸ₯‰21 Β· ⭐ 350 Β· πŸ’€) - Data imputations library to preprocess datasets with missing data. MIT - StreamAlert (πŸ₯‰20 Β· ⭐ 2.9K Β· πŸ’€) - StreamAlert is a serverless, realtime data analysis.. Apache-2 -- rrcf (πŸ₯‰20 Β· ⭐ 490 Β· πŸ’€) - Implementation of the Robust Random Cut Forest algorithm for anomaly.. MIT +- rrcf (πŸ₯‰20 Β· ⭐ 500 Β· πŸ’€) - Implementation of the Robust Random Cut Forest algorithm for anomaly.. MIT - scikit-rebate (πŸ₯‰19 Β· ⭐ 410 Β· πŸ’€) - A scikit-learn-compatible Python implementation of.. MIT - baikal (πŸ₯‰18 Β· ⭐ 590 Β· πŸ’€) - A graph-based functional API for building complex scikit-learn.. BSD-3 - KD-Lib (πŸ₯‰16 Β· ⭐ 600 Β· πŸ’€) - A Pytorch Knowledge Distillation library for benchmarking and.. MIT diff --git a/history/2024-10-03_changes.md b/history/2024-10-03_changes.md new file mode 100644 index 0000000..e3a8833 --- /dev/null +++ b/history/2024-10-03_changes.md @@ -0,0 +1,36 @@ +## πŸ“ˆ Trending Up + +_Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._ + +- XGBoost (πŸ₯‡46 Β· ⭐ 26K Β· πŸ“ˆ) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT.. Apache-2 +- PySpark (πŸ₯‡45 Β· ⭐ 39K Β· πŸ“ˆ) - Apache Spark Python API. Apache-2 +- spaCy (πŸ₯‡45 Β· ⭐ 30K Β· πŸ“ˆ) - Industrial-strength Natural Language Processing (NLP) in Python. MIT +- Prophet (πŸ₯‡35 Β· ⭐ 18K Β· πŸ“ˆ) - Tool for producing high quality forecasts for time series data that.. MIT +- hdbscan (πŸ₯ˆ33 Β· ⭐ 2.8K Β· πŸ“ˆ) - A high performance implementation of HDBSCAN clustering. BSD-3 +- category_encoders (πŸ₯ˆ32 Β· ⭐ 2.4K Β· πŸ“ˆ) - A library of sklearn compatible categorical variable.. BSD-3 +- audiomentations (πŸ₯ˆ31 Β· ⭐ 1.8K Β· πŸ“ˆ) - A Python library for audio data augmentation. Inspired by.. MIT +- PaddleDetection (πŸ₯ˆ29 Β· ⭐ 13K Β· πŸ“ˆ) - Object Detection toolkit based on PaddlePaddle. It.. Apache-2 +- ivis (πŸ₯‰24 Β· ⭐ 330 Β· πŸ“ˆ) - Dimensionality reduction in very large datasets using Siamese.. Apache-2 +- UForm (πŸ₯‰20 Β· ⭐ 1K Β· πŸ“ˆ) - Pocket-Sized Multimodal AI for content understanding and.. Apache-2 + +## πŸ“‰ Trending Down + +_Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._ + +- mlflow (πŸ₯‡43 Β· ⭐ 18K Β· πŸ“‰) - Open source platform for the machine learning lifecycle. Apache-2 +- networkx (πŸ₯‡43 Β· ⭐ 15K Β· πŸ“‰) - Network Analysis in Python. BSD-3 +- litellm (πŸ₯‡43 Β· ⭐ 13K Β· πŸ“‰) - Python SDK, Proxy Server (LLM Gateway) to call 100+.. MIT o t h e r s +- DeepChem (πŸ₯ˆ34 Β· ⭐ 5.4K Β· πŸ“‰) - Democratizing Deep-Learning for Drug Discovery, Quantum.. MIT +- dask-ml (πŸ₯‰27 Β· ⭐ 890 Β· πŸ“‰) - Scalable Machine Learning with Dask. BSD-3 +- Alibi (πŸ₯ˆ26 Β· ⭐ 2.4K Β· πŸ“‰) - Algorithms for explaining machine learning models. ❗️Intel +- Orbit (πŸ₯‰23 Β· ⭐ 1.9K Β· πŸ“‰) - A Python package for Bayesian forecasting with object-oriented.. Apache-2 +- uber/orbit (πŸ₯‰23 Β· ⭐ 1.9K Β· πŸ“‰) - A Python package for Bayesian forecasting with object-.. Apache-2 +- nebullvm (πŸ₯‰21 Β· ⭐ 8.4K Β· πŸ“‰) - A collection of libraries to optimise AI model performances. Apache-2 +- model-card-toolkit (πŸ₯‰18 Β· ⭐ 420 Β· πŸ’€) - A toolkit that streamlines and automates the.. Apache-2 + +## βž• Added Projects + +_Projects that were recently added to this best-of list._ + +- Opik (πŸ₯‰24 Β· ⭐ 1.5K Β· βž•) - Open-source end-to-end LLM Development Platform. Apache-2 + diff --git a/history/2024-10-03_projects.csv b/history/2024-10-03_projects.csv new file mode 100644 index 0000000..21b9189 --- /dev/null +++ b/history/2024-10-03_projects.csv @@ -0,0 +1,920 @@ +,name,github_id,category,resource,github_url,homepage,license,created_at,updated_at,last_commit_pushed_at,commit_count,recent_commit_count,fork_count,watchers_count,pr_count,open_issue_count,closed_issue_count,star_count,description,contributor_count,projectrank,show,latest_stable_release_published_at,latest_stable_release_number,release_count,pypi_id,conda_id,docs_url,labels,github_release_downloads,monthly_downloads,dependent_project_count,github_dependent_project_count,pypi_url,pypi_latest_release_published_at,pypi_dependent_project_count,pypi_monthly_downloads,conda_url,conda_latest_release_published_at,conda_total_downloads,projectrank_placing,dockerhub_id,dockerhub_url,dockerhub_latest_release_published_at,dockerhub_stars,dockerhub_pulls,trending,helm_id,updated_github_id,npm_id,npm_url,npm_latest_release_published_at,npm_dependent_project_count,npm_monthly_downloads,brew_id,apt_id,yum_id,conda_dependent_project_count,maven_id,maven_url,maven_latest_release_published_at,maven_dependent_project_count,dnf_id,yay_id,snap_id,new_addition +0,ANN Benchmarks,erikbern/ann-benchmarks,nn-search,True,https://github.com/erikbern/ann-benchmarks,https://github.com/erikbern/ann-benchmarks,MIT,2015-05-28 13:21:43.000,2024-09-02 06:22:28.000000,2024-09-02 06:22:28,1567.0,5.0,702.0,117.0,338.0,63.0,145.0,4880.0,Benchmarks of approximate nearest neighbor libraries in Python.,107.0,0,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +1,best-of-web-python - Web Scraping,ml-tooling/best-of-web-python,web-scraping,True,https://github.com/ml-tooling/best-of-web-python,https://github.com/ml-tooling/best-of-web-python#web-scraping--crawling,CC-BY-SA-4.0,2021-01-05 13:09:27.000,2024-06-07 15:14:35.000000,2024-06-06 19:06:33,346.0,,168.0,58.0,205.0,,3.0,2294.0,Collection of web-scraping and crawling libraries.,16.0,0,True,2024-06-06 19:06:38.000,2024.06.06,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +2,best-of-python - Data Extraction,ml-tooling/best-of-python,data-loading,True,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#data-loading--extraction,CC-BY-SA-4.0,2021-01-11 19:11:32.000,2024-08-14 02:31:07.000000,2024-08-14 02:31:07,360.0,1.0,244.0,93.0,199.0,6.0,6.0,3631.0,Collection of data-loading and -extraction libraries.,12.0,0,True,2024-06-06 14:07:12.000,2024.06.06,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +3,best-of-python - DB Clients,ml-tooling/best-of-python,db-clients,True,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#database-clients,CC-BY-SA-4.0,2021-01-11 19:11:32.000,2024-08-14 02:31:07.000000,2024-08-14 02:31:07,360.0,1.0,244.0,93.0,199.0,6.0,6.0,3631.0,Collection of database clients for python.,12.0,0,True,2024-06-06 14:07:12.000,2024.06.06,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +4,best-of-python - Data Containers,ml-tooling/best-of-python,data-containers,True,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#data-containers--dataframes,CC-BY-SA-4.0,2021-01-11 19:11:32.000,2024-08-14 02:31:07.000000,2024-08-14 02:31:07,360.0,1.0,244.0,93.0,199.0,6.0,6.0,3631.0,"Collection of data-container, dataframe, and pandas-utility libraries.",12.0,0,True,2024-06-06 14:07:12.000,2024.06.06,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +5,best-of-python - Data Pipelines,ml-tooling/best-of-python,data-pipelines,True,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#data-pipelines--streaming,CC-BY-SA-4.0,2021-01-11 19:11:32.000,2024-08-14 02:31:07.000000,2024-08-14 02:31:07,360.0,1.0,244.0,93.0,199.0,6.0,6.0,3631.0,"Libraries for data batch- and stream-processing, workflow automation, job scheduling, and other data pipeline tasks.",12.0,0,True,2024-06-06 14:07:12.000,2024.06.06,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +6,PyTorch,pytorch/pytorch,ml-frameworks,,https://github.com/pytorch/pytorch,https://github.com/pytorch/pytorch,BSD-3-Clause,2016-08-13 05:26:41.000,2024-10-03 14:11:44.000000,2024-10-03 13:13:48,79076.0,3882.0,22243.0,1741.0,91449.0,15034.0,31472.0,82642.0,Tensors and Dynamic neural networks in Python with strong GPU acceleration.,5150.0,56,True,2024-09-04 19:59:29.000,2.4.1,55.0,torch,pytorch/pytorch,https://pytorch.org/docs/stable/index.html,['pytorch'],59101.0,35226820.0,555607.0,536511.0,https://pypi.org/project/torch,2024-09-04 19:10:42.000,19096.0,34582793.0,https://anaconda.org/pytorch/pytorch,2024-09-03 16:47:49.313,23806471.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +7,Tensorflow,tensorflow/tensorflow,ml-frameworks,,https://github.com/tensorflow/tensorflow,https://github.com/tensorflow/tensorflow,Apache-2.0,2015-11-07 01:19:20.000,2024-10-03 14:08:38.000000,2024-10-03 14:08:31,170393.0,3804.0,74226.0,7597.0,36547.0,5029.0,38251.0,188376.0,An Open Source Machine Learning Framework for Everyone.,4688.0,55,True,2024-07-11 16:45:52.000,2.17.0,198.0,tensorflow,conda-forge/tensorflow,https://www.tensorflow.org/overview,['tensorflow'],,18340087.0,422172.0,414242.0,https://pypi.org/project/tensorflow,2024-09-30 18:37:14.000,7930.0,17511392.0,https://anaconda.org/conda-forge/tensorflow,2024-08-31 23:00:17.783,4980093.0,1.0,tensorflow/tensorflow,https://hub.docker.com/r/tensorflow/tensorflow,2024-10-03 12:48:36.001955,2564.0,78222098.0,,,,,,,,,,,,,,,,,,,, +8,transformers,huggingface/transformers,nlp,,https://github.com/huggingface/transformers,https://github.com/huggingface/transformers,Apache-2.0,2018-10-29 13:56:00.000,2024-10-03 14:20:36.000000,2024-10-03 14:15:36,17006.0,726.0,26500.0,1115.0,17628.0,1464.0,14819.0,132893.0,"Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.",2854.0,52,True,2024-09-26 18:07:17.000,4.45.1,159.0,transformers,conda-forge/transformers,,"['pytorch', 'tensorflow']",,36573328.0,228541.0,222216.0,https://pypi.org/project/transformers,2024-09-26 18:06:57.000,6325.0,36532493.0,https://anaconda.org/conda-forge/transformers,2024-09-28 18:07:52.119,2082589.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +9,scikit-learn,scikit-learn/scikit-learn,ml-frameworks,,https://github.com/scikit-learn/scikit-learn,https://github.com/scikit-learn/scikit-learn,BSD-3-Clause,2010-08-17 09:43:38.000,2024-10-03 07:46:59.000000,2024-10-03 07:46:58,31738.0,262.0,25306.0,2140.0,17822.0,2121.0,9603.0,59632.0,scikit-learn: machine learning in Python.,3185.0,52,True,2024-09-11 15:52:05.000,1.5.2,81.0,scikit-learn,conda-forge/scikit-learn,,['sklearn'],1027.0,76644697.0,928831.0,904341.0,https://pypi.org/project/scikit-learn,2024-09-11 15:49:19.000,24490.0,76055259.0,https://anaconda.org/conda-forge/scikit-learn,2024-09-11 20:00:28.266,31239721.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +10,scipy,scipy/scipy,others,,https://github.com/scipy/scipy,https://github.com/scipy/scipy,BSD-3-Clause,2011-03-09 18:52:03.000,2024-10-03 07:06:47.000000,2024-10-03 07:06:47,33582.0,677.0,5121.0,348.0,11328.0,1808.0,8842.0,12950.0,"Ecosystem of open-source software for mathematics, science, and engineering.",1690.0,50,True,2024-08-21 00:10:50.000,1.14.1,108.0,scipy,conda-forge/scipy,,,415730.0,131546483.0,1151698.0,1106074.0,https://pypi.org/project/scipy,2024-08-21 00:03:32.000,45624.0,130418503.0,https://anaconda.org/conda-forge/scipy,2024-09-09 09:00:52.252,52839050.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +11,SymPy,sympy/sympy,others,,https://github.com/sympy/sympy,https://github.com/sympy/sympy,BSD-3-Clause,2010-04-30 20:37:14.000,2024-10-01 16:02:52.000000,2024-10-01 16:02:52,58956.0,685.0,4394.0,290.0,13427.0,5124.0,8869.0,12840.0,A computer algebra system written in pure Python.,1330.0,49,True,2024-09-18 21:54:45.000,1.13.3,64.0,sympy,conda-forge/sympy,,,548671.0,32004613.0,178381.0,174881.0,https://pypi.org/project/sympy,2024-09-18 21:54:23.000,3500.0,31874027.0,https://anaconda.org/conda-forge/sympy,2024-09-28 13:25:27.288,6705675.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +12,Keras,keras-team/keras,ml-frameworks,,https://github.com/keras-team/keras,https://github.com/keras-team/keras,Apache-2.0,2015-03-28 00:35:42.000,2024-10-02 17:59:33.000000,2024-10-02 17:59:30,11020.0,220.0,19426.0,1911.0,7470.0,250.0,11899.0,61699.0,Deep Learning for humans.,1332.0,48,True,2024-08-12 20:42:48.000,3.5.0,102.0,keras,conda-forge/keras,https://keras.io,['tensorflow'],,13900813.0,1579.0,,https://pypi.org/project/keras,2024-08-12 20:42:48.000,1579.0,13829224.0,https://anaconda.org/conda-forge/keras,2024-08-17 19:28:53.337,3722667.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +13,Matplotlib,matplotlib/matplotlib,data-viz,,https://github.com/matplotlib/matplotlib,https://github.com/matplotlib/matplotlib,,2011-02-19 03:17:12.000,2024-10-02 20:23:38.000000,2024-10-02 20:23:38,51126.0,466.0,7589.0,593.0,18401.0,1595.0,9295.0,20063.0,matplotlib: plotting with Python.,1730.0,48,True,2024-08-13 01:44:21.000,3.9.2,127.0,matplotlib,conda-forge/matplotlib,,,,80212687.0,1404784.0,1355044.0,https://pypi.org/project/matplotlib,2024-08-13 01:44:21.000,49740.0,79710617.0,https://anaconda.org/conda-forge/matplotlib,2024-09-12 20:10:05.995,26107686.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +14,Pillow,python-pillow/Pillow,image,,https://github.com/python-pillow/Pillow,https://github.com/python-pillow/Pillow,PIL,2012-07-24 21:38:39.000,2024-10-03 03:55:55.000000,2024-10-03 03:55:35,18604.0,469.0,2210.0,220.0,5097.0,134.0,3080.0,12151.0,Python Imaging Library (Fork).,479.0,48,True,2024-07-01 09:51:39.000,10.4.0,98.0,Pillow,conda-forge/pillow,,,,125639490.0,1856303.0,1848621.0,https://pypi.org/project/Pillow,2024-07-01 09:45:22.000,7682.0,124762737.0,https://anaconda.org/conda-forge/pillow,2024-09-11 18:35:06.338,44714440.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +15,Streamlit,streamlit/streamlit,others,,https://github.com/streamlit/streamlit,https://github.com/streamlit/streamlit,Apache-2.0,2019-08-24 00:14:52.000,2024-10-03 06:46:38.000000,2024-10-02 20:06:00,6686.0,225.0,3027.0,320.0,4933.0,956.0,3634.0,34906.0,Streamlit A faster way to build and share data apps.,242.0,46,True,2024-10-01 17:36:45.000,1.39.0,228.0,streamlit,,,,,6424810.0,532292.0,529550.0,https://pypi.org/project/streamlit,2024-10-01 17:36:39.000,2742.0,6424810.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +16,XGBoost,dmlc/xgboost,ml-frameworks,,https://github.com/dmlc/xgboost,https://github.com/dmlc/xgboost,Apache-2.0,2014-02-06 17:28:03.000,2024-10-03 11:19:38.000000,2024-09-30 17:28:43,7120.0,171.0,8707.0,909.0,5576.0,452.0,4897.0,26140.0,"Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and..",652.0,46,True,2024-07-31 08:14:26.000,2.1.1,83.0,xgboost,conda-forge/xgboost,https://xgboost.readthedocs.io/en/latest/,,11119.0,24735747.0,111781.0,109779.0,https://pypi.org/project/xgboost,2024-07-31 08:14:26.000,2002.0,24631830.0,https://anaconda.org/conda-forge/xgboost,2024-09-29 19:48:48.053,5295343.0,1.0,,,,,,1.0,,,,,,,,,,,,,,,,,,, +17,PaddlePaddle,PaddlePaddle/Paddle,ml-frameworks,,https://github.com/PaddlePaddle/Paddle,https://github.com/PaddlePaddle/Paddle,Apache-2.0,2016-08-15 06:59:08.000,2024-10-01 10:34:04.000000,2024-10-01 10:34:04,51135.0,1811.0,5553.0,717.0,50007.0,1740.0,17371.0,22120.0,PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice &.,1283.0,46,True,2024-09-13 08:31:46.000,2.6.2,70.0,paddlepaddle,,,['paddle'],15406.0,476198.0,6165.0,5987.0,https://pypi.org/project/paddlepaddle,2024-09-13 08:31:46.000,178.0,476041.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +18,PySpark,apache/spark,ml-frameworks,,https://github.com/apache/spark,https://github.com/apache/spark,Apache-2.0,2014-02-25 08:00:08.000,2024-10-03 09:36:30.000000,2024-10-03 09:36:26,42342.0,858.0,28218.0,2023.0,48307.0,206.0,,39405.0,Apache Spark Python API.,3127.0,45,True,2024-09-24 00:28:04.000,3.5.3,48.0,pyspark,conda-forge/pyspark,,['spark'],,30465110.0,1545.0,,https://pypi.org/project/pyspark,2024-09-27 14:56:40.000,1545.0,30398899.0,https://anaconda.org/conda-forge/pyspark,2024-03-03 13:07:40.821,3443012.0,1.0,,,,,,1.0,stable/spark,,,,,,,,,,,,,,,,,, +19,Ray,ray-project/ray,distributed-ml,,https://github.com/ray-project/ray,https://github.com/ray-project/ray,Apache-2.0,2016-10-25 19:38:30.000,2024-10-02 23:44:53.000000,2024-10-01 16:47:29,22722.0,668.0,5612.0,475.0,29104.0,4028.0,14954.0,33285.0,Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a..,1076.0,45,True,2024-09-24 23:37:52.000,ray-2.37.0,117.0,ray,conda-forge/ray-tune,,,237.0,5815297.0,18849.0,18081.0,https://pypi.org/project/ray,2024-09-24 23:30:46.000,768.0,5806256.0,https://anaconda.org/conda-forge/ray-tune,2024-10-01 08:55:53.218,415800.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +20,jax,google/jax,ml-frameworks,,https://github.com/jax-ml/jax,https://github.com/jax-ml/jax,Apache-2.0,2018-10-25 21:25:02.000,2024-10-03 14:23:26.000000,2024-10-03 14:23:22,23377.0,1657.0,2749.0,334.0,15677.0,1373.0,4208.0,30092.0,"Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more.",760.0,45,True,2024-09-16 18:42:31.000,jax-v0.4.33,167.0,jax,conda-forge/jaxlib,,,,3850537.0,32493.0,30655.0,https://pypi.org/project/jax,2024-09-16 18:38:45.000,1838.0,3817738.0,https://anaconda.org/conda-forge/jaxlib,2024-10-02 23:05:15.613,1705566.0,1.0,,,,,,,,jax-ml/jax,,,,,,,,,,,,,,,,, +21,spaCy,explosion/spaCy,nlp,,https://github.com/explosion/spaCy,https://github.com/explosion/spaCy,MIT,2014-07-03 15:15:40.000,2024-10-01 23:10:18.000000,2024-10-01 23:01:40,16203.0,69.0,4363.0,562.0,4019.0,144.0,5517.0,29765.0,Industrial-strength Natural Language Processing (NLP) in Python.,758.0,45,True,2024-10-01 18:20:24.000,3.8.2,237.0,spacy,conda-forge/spacy,,,170.0,12486420.0,103102.0,100413.0,https://pypi.org/project/spacy,2024-10-01 18:20:24.000,2689.0,12406466.0,https://anaconda.org/conda-forge/spacy,2024-09-22 12:43:59.353,4157546.0,1.0,,,,,,1.0,,,,,,,,,,,,,,,,,,, +22,Bokeh,bokeh/bokeh,data-viz,,https://github.com/bokeh/bokeh,https://github.com/bokeh/bokeh,BSD-3-Clause,2012-03-26 15:40:01.000,2024-10-02 20:21:43.000000,2024-10-02 20:21:43,20613.0,71.0,4178.0,442.0,6171.0,760.0,6981.0,19258.0,"Interactive Data Visualization in the browser, from Python.",702.0,45,True,2024-09-26 16:27:00.000,3.6.0,218.0,bokeh,conda-forge/bokeh,,,,4736651.0,94636.0,92892.0,https://pypi.org/project/bokeh,2024-09-26 16:55:03.000,1744.0,4448031.0,https://anaconda.org/conda-forge/bokeh,2024-09-26 20:39:59.050,15008272.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +23,nltk,nltk/nltk,nlp,,https://github.com/nltk/nltk,https://github.com/nltk/nltk,Apache-2.0,2009-09-07 10:53:58.000,2024-09-25 08:35:09.000000,2024-09-25 08:35:04,14681.0,130.0,2856.0,462.0,1489.0,273.0,1555.0,13477.0,Suite of libraries and programs for symbolic and statistical natural language processing for English.,461.0,45,True,2024-08-18 19:48:21.000,3.9.1,63.0,nltk,conda-forge/nltk,,,,23497148.0,314238.0,309541.0,https://pypi.org/project/nltk,2024-08-18 19:48:21.000,4697.0,23432243.0,https://anaconda.org/conda-forge/nltk,2024-08-18 23:14:52.073,2790945.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +24,StatsModels,statsmodels/statsmodels,ml-frameworks,,https://github.com/statsmodels/statsmodels,https://github.com/statsmodels/statsmodels,BSD-3-Clause,2011-06-12 17:04:50.000,2024-10-02 10:48:25.000000,2024-10-02 10:48:22,15491.0,60.0,2869.0,282.0,3931.0,2829.0,2788.0,10022.0,Statsmodels: statistical modeling and econometrics in Python.,436.0,45,True,2024-09-16 09:55:30.000,0.14.3,38.0,statsmodels,conda-forge/statsmodels,,,34.0,17273546.0,141925.0,137467.0,https://pypi.org/project/statsmodels,2024-09-16 09:55:30.000,4458.0,16983118.0,https://anaconda.org/conda-forge/statsmodels,2024-09-21 06:26:48.581,15102307.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +25,Gradio,gradio-app/gradio,others,,https://github.com/gradio-app/gradio,https://github.com/gradio-app/gradio,Apache-2.0,2018-12-19 08:24:04.000,2024-10-03 16:00:20.000000,2024-10-03 15:22:57,7035.0,254.0,2434.0,170.0,4347.0,555.0,4247.0,32494.0,"Wrap UIs around any model, share with anyone.",391.0,44,True,2024-09-30 17:52:33.000,4.44.1,591.0,gradio,,,,,6364920.0,43068.0,42284.0,https://pypi.org/project/gradio,2024-09-30 20:13:30.000,784.0,6364920.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +26,pytorch-lightning,Lightning-AI/lightning,ml-frameworks,,https://github.com/Lightning-AI/pytorch-lightning,https://github.com/Lightning-AI/pytorch-lightning,Apache-2.0,2019-03-31 00:45:57.000,2024-10-03 11:50:14.000000,2024-10-02 16:18:43,10427.0,67.0,3363.0,251.0,10276.0,774.0,6304.0,28094.0,"Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.",973.0,44,True,2024-08-07 09:46:38.000,2.4.0,277.0,pytorch-lightning,conda-forge/pytorch-lightning,,['pytorch'],9142.0,6919900.0,38449.0,37006.0,https://pypi.org/project/pytorch-lightning,2024-08-07 09:46:38.000,1443.0,6894869.0,https://anaconda.org/conda-forge/pytorch-lightning,2024-08-07 15:45:27.965,1289797.0,2.0,,,,,,,,Lightning-AI/pytorch-lightning,,,,,,,,,,,,,,,,, +27,Plotly,plotly/plotly.py,data-viz,,https://github.com/plotly/plotly.py,https://github.com/plotly/plotly.py,MIT,2013-11-21 05:53:08.000,2024-10-02 19:47:45.000000,2024-09-19 16:25:54,6683.0,148.0,2533.0,274.0,1705.0,527.0,2441.0,16071.0,The interactive graphing library for Python This project now includes Plotly Express!.,269.0,44,True,2024-09-12 15:42:27.000,5.24.1,301.0,plotly,conda-forge/plotly,,,,20188778.0,314814.0,308485.0,https://pypi.org/project/plotly,2024-09-12 15:36:24.000,6320.0,20049048.0,https://anaconda.org/conda-forge/plotly,2024-09-12 22:24:43.567,7080231.0,1.0,,,,,,,,,plotlywidget,https://www.npmjs.com/package/plotlywidget,2021-01-12 16:09:46.133,9.0,6141.0,,,,,,,,,,,, +28,dask,dask/dask,distributed-ml,,https://github.com/dask/dask,https://github.com/dask/dask,BSD-3-Clause,2015-01-04 18:50:00.000,2024-10-03 08:14:58.000000,2024-10-02 14:37:01,8323.0,88.0,1698.0,212.0,5966.0,1108.0,4249.0,12459.0,Parallel computing with task scheduling.,610.0,44,True,2024-09-28 00:59:40.000,2024.9.1,208.0,dask,conda-forge/dask,,,,12662855.0,67476.0,65078.0,https://pypi.org/project/dask,2024-09-28 00:59:40.000,2398.0,12437087.0,https://anaconda.org/conda-forge/dask,2024-09-28 03:30:27.336,11965718.0,1.0,,,,,,,stable/dask,,,,,,,,,,,,,,,,,, +29,shap,slundberg/shap,interpretability,,https://github.com/shap/shap,https://github.com/shap/shap,MIT,2016-11-22 19:17:08.000,2024-10-01 15:57:42.000000,2024-09-24 21:13:32,2766.0,59.0,3251.0,241.0,966.0,750.0,1782.0,22607.0,A game theoretic approach to explain the output of any machine learning model.,251.0,43,True,2024-06-27 10:16:34.000,0.46.0,104.0,shap,conda-forge/shap,,,,6815315.0,21368.0,20620.0,https://pypi.org/project/shap,2024-06-27 10:16:34.000,748.0,6729158.0,https://anaconda.org/conda-forge/shap,2024-05-08 21:55:59.406,3963255.0,1.0,,,,,,,,shap/shap,,,,,,,,,,,,,,,,, +30,dash,plotly/dash,data-viz,,https://github.com/plotly/dash,https://github.com/plotly/dash,MIT,2015-04-10 01:53:08.000,2024-10-01 00:35:10.000000,2024-09-20 15:45:31,7679.0,113.0,2041.0,420.0,1126.0,469.0,1349.0,21267.0,Data Apps & Dashboards for Python. No JavaScript Required.,163.0,43,True,2024-09-12 16:11:13.000,2.18.1,181.0,dash,conda-forge/dash,,,78.0,3410685.0,70966.0,69683.0,https://pypi.org/project/dash,2024-09-12 16:08:23.000,1283.0,3381962.0,https://anaconda.org/conda-forge/dash,2024-09-14 04:47:51.793,1493570.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +31,mlflow,mlflow/mlflow,ml-experiments,,https://github.com/mlflow/mlflow,https://github.com/mlflow/mlflow,Apache-2.0,2018-06-05 16:05:58.000,2024-10-03 04:39:22.000000,2024-10-03 04:39:22,6547.0,351.0,4159.0,297.0,9153.0,1598.0,2581.0,18430.0,Open source platform for the machine learning lifecycle.,775.0,43,True,2024-09-27 04:49:37.000,2.17.0rc0,114.0,mlflow,conda-forge/mlflow,,,,14344484.0,44027.0,43154.0,https://pypi.org/project/mlflow,2024-09-27 00:54:05.000,873.0,14299092.0,https://anaconda.org/conda-forge/mlflow,2024-09-17 10:26:09.229,2360394.0,1.0,,,,,,-1.0,,,,,,,,,,,,,,,,,,, +32,onnx,onnx/onnx,model-serialisation,,https://github.com/onnx/onnx,https://github.com/onnx/onnx,Apache-2.0,2017-09-07 04:53:45.000,2024-10-03 10:06:01.000000,2024-10-02 16:04:33,2844.0,83.0,3656.0,439.0,3376.0,342.0,2512.0,17719.0,Open standard for machine learning interoperability.,324.0,43,True,2024-10-01 21:45:45.000,1.17.0,35.0,onnx,conda-forge/onnx,,,21883.0,5453518.0,35006.0,33958.0,https://pypi.org/project/onnx,2024-10-01 21:45:45.000,1048.0,5429164.0,https://anaconda.org/conda-forge/onnx,2024-09-25 21:48:32.399,1252888.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +33,LightGBM,microsoft/LightGBM,ml-frameworks,,https://github.com/microsoft/LightGBM,https://github.com/microsoft/LightGBM,MIT,2016-08-05 05:45:50.000,2024-10-02 16:19:30.000000,2024-10-02 16:19:28,3571.0,62.0,3819.0,433.0,3253.0,367.0,3062.0,16562.0,"A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision..",318.0,43,True,2024-07-26 14:38:57.000,4.5.0,38.0,lightgbm,conda-forge/lightgbm,,,236254.0,9897514.0,39077.0,38000.0,https://pypi.org/project/lightgbm,2024-07-26 14:38:57.000,1077.0,9839334.0,https://anaconda.org/conda-forge/lightgbm,2024-09-12 16:03:18.124,2722204.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +34,networkx,networkx/networkx,graph,,https://github.com/networkx/networkx,https://github.com/networkx/networkx,BSD-3-Clause,2010-09-06 00:53:44.000,2024-10-02 00:01:00.000000,2024-10-01 04:24:04,7790.0,54.0,3202.0,279.0,3883.0,347.0,3025.0,14802.0,Network Analysis in Python.,749.0,43,True,2024-04-06 13:09:07.000,networkx-3.3,94.0,networkx,conda-forge/networkx,,,76.0,74933529.0,307917.0,298485.0,https://pypi.org/project/networkx,2024-04-06 12:59:44.000,9432.0,74576078.0,https://anaconda.org/conda-forge/networkx,2024-04-08 01:42:36.044,17872598.0,1.0,,,,,,-1.0,,,,,,,,,,,,,,,,,,, +35,triton,openai/triton,model-serialisation,,https://github.com/triton-lang/triton,https://github.com/triton-lang/triton,MIT,2014-08-30 17:07:16.000,2024-10-03 16:15:52.000000,2024-10-03 16:15:52,2749.0,308.0,1557.0,191.0,3268.0,649.0,780.0,12916.0,Development repository for the Triton language and compiler.,326.0,43,True,2024-07-09 07:22:23.000,3.0.0,195.0,triton,,,,,14845610.0,38433.0,38184.0,https://pypi.org/project/triton,2024-07-09 07:22:23.000,249.0,14845610.0,,,,1.0,,,,,,,,triton-lang/triton,,,,,,,,,,,,,,,,, +36,litellm,BerriAI/litellm,nlp,,https://github.com/BerriAI/litellm,https://github.com/BerriAI/litellm,MIT,2023-07-27 00:09:52.000,2024-10-03 16:06:21.000000,2024-10-03 13:16:25,17939.0,3675.0,1457.0,71.0,2676.0,600.0,2711.0,12637.0,"Python SDK, Proxy Server (LLM Gateway) to call 100+ LLM APIs in OpenAI format - [Bedrock, Azure, OpenAI, VertexAI,..",341.0,43,True,2024-10-03 03:15:05.000,1.48.10,969.0,litellm,,,others,467.0,2071557.0,4036.0,3595.0,https://pypi.org/project/litellm,2024-10-03 03:03:00.000,441.0,2071324.0,,,,1.0,,,,,,-1.0,,,,,,,,,,,,,,,,,,, +37,pydeck,visgl/deck.gl,geospatial-data,,https://github.com/visgl/deck.gl,https://github.com/visgl/deck.gl,MIT,2015-12-15 08:38:29.000,2024-10-02 14:18:55.214000,2024-10-02 13:31:21,5004.0,71.0,2082.0,1674.0,4865.0,344.0,2724.0,12137.0,WebGL2 powered visualization framework.,273.0,43,True,2024-10-02 14:18:55.214,9.0.32,672.0,pydeck,conda-forge/pydeck,,['jupyter'],,5895541.0,8537.0,8118.0,https://pypi.org/project/pydeck,2024-05-10 15:36:17.000,120.0,5302818.0,https://anaconda.org/conda-forge/pydeck,2023-06-16 19:17:51.392,616652.0,1.0,,,,,,,,,deck.gl,https://www.npmjs.com/package/deck.gl,2024-10-02 14:18:55.214,299.0,581712.0,,,,,,,,,,,, +38,Optuna,optuna/optuna,hyperopt,,https://github.com/optuna/optuna,https://github.com/optuna/optuna,MIT,2018-02-21 06:12:56.000,2024-10-01 06:00:11.000000,2024-10-01 06:00:11,18266.0,303.0,1006.0,117.0,3655.0,68.0,1605.0,10635.0,A hyperparameter optimization framework.,271.0,43,True,2024-09-02 05:17:47.000,4.0.0,66.0,optuna,conda-forge/optuna,,,,3644610.0,18868.0,17882.0,https://pypi.org/project/optuna,2024-09-02 05:17:47.000,986.0,3612395.0,https://anaconda.org/conda-forge/optuna,2024-09-03 06:05:16.374,1675199.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +39,PyTorch Image Models,rwightman/pytorch-image-models,image,,https://github.com/huggingface/pytorch-image-models,https://github.com/huggingface/pytorch-image-models,Apache-2.0,2019-02-02 05:51:12.000,2024-10-02 22:18:00.000000,2024-10-02 22:17:53,2476.0,125.0,4711.0,311.0,516.0,49.0,864.0,31678.0,"The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and..",150.0,42,True,2024-08-23 23:42:07.000,1.0.9,60.0,timm,conda-forge/timm,,['pytorch'],7062417.0,6211084.0,38306.0,37379.0,https://pypi.org/project/timm,2024-08-23 23:31:27.000,927.0,6097781.0,https://anaconda.org/conda-forge/timm,2024-08-24 14:28:50.700,237223.0,1.0,,,,,,,,huggingface/pytorch-image-models,,,,,,,,,,,,,,,,, +40,torchvision,pytorch/vision,image,,https://github.com/pytorch/vision,https://github.com/pytorch/vision,BSD-3-Clause,2016-11-09 23:11:43.000,2024-10-03 11:35:11.000000,2024-10-03 10:30:16,3943.0,59.0,6929.0,432.0,5405.0,1025.0,2441.0,16055.0,"Datasets, Transforms and Models specific to Computer Vision.",607.0,42,True,2024-09-04 20:08:34.000,0.19.1,47.0,torchvision,conda-forge/torchvision,,['pytorch'],38813.0,14075378.0,5654.0,21.0,https://pypi.org/project/torchvision,2024-09-04 19:14:53.000,5633.0,14036703.0,https://anaconda.org/conda-forge/torchvision,2024-10-02 09:23:08.191,1644508.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +41,DVC,iterative/dvc,ml-experiments,,https://github.com/iterative/dvc,https://github.com/iterative/dvc,Apache-2.0,2017-03-04 08:16:33.000,2024-10-03 01:04:13.000000,2024-10-03 01:04:11,9339.0,51.0,1172.0,136.0,5518.0,224.0,4467.0,13667.0,ML Experiments and Data Management with Git.,303.0,42,True,2024-09-02 15:02:10.000,3.55.2,538.0,dvc,conda-forge/dvc,,,,662641.0,18229.0,18103.0,https://pypi.org/project/dvc,2024-09-02 15:02:10.000,126.0,619443.0,https://anaconda.org/conda-forge/dvc,2024-09-02 18:55:30.141,2246318.0,1.0,,,,,,,,,,,,,,dvc,dvc,dvc,,,,,,,,, +42,Altair,altair-viz/altair,data-viz,,https://github.com/vega/altair,https://github.com/vega/altair,BSD-3-Clause,2015-09-19 03:14:04.000,2024-10-03 14:23:18.000000,2024-10-03 14:23:18,3783.0,100.0,791.0,140.0,1487.0,196.0,1814.0,9254.0,Declarative statistical visualization library for Python.,172.0,42,True,2024-08-27 04:41:23.000,5.4.1,42.0,altair,conda-forge/altair,,,192.0,22910642.0,165656.0,164782.0,https://pypi.org/project/altair,2024-08-27 04:31:06.000,874.0,22838930.0,https://anaconda.org/conda-forge/altair,2024-10-02 18:03:41.017,2438140.0,1.0,,,,,,,,vega/altair,,,,,,,,,,,,,,,,, +43,wandb client,wandb/client,ml-experiments,,https://github.com/wandb/wandb,https://github.com/wandb/wandb,MIT,2017-03-24 05:46:23.000,2024-10-03 15:54:13.000000,2024-10-02 20:01:29,7085.0,412.0,658.0,59.0,5208.0,875.0,2451.0,8953.0,"The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation..",192.0,42,True,2024-10-01 23:28:58.000,0.18.3,289.0,wandb,conda-forge/wandb,,,325.0,16531245.0,56145.0,54723.0,https://pypi.org/project/wandb,2024-10-01 23:27:12.000,1422.0,16518596.0,https://anaconda.org/conda-forge/wandb,2024-09-24 22:40:55.346,644773.0,1.0,,,,,,,,wandb/wandb,,,,,,,,,,,,,,,,, +44,Catboost,catboost/catboost,ml-frameworks,,https://github.com/catboost/catboost,https://github.com/catboost/catboost,Apache-2.0,2017-07-18 05:29:04.000,2024-10-03 11:22:20.000000,2024-10-03 11:15:38,48634.0,434.0,1176.0,191.0,396.0,553.0,1778.0,8025.0,"A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification,..",1277.0,42,True,2024-09-07 20:11:05.000,1.2.7,113.0,catboost,conda-forge/catboost,,,308976.0,3367764.0,550.0,15.0,https://pypi.org/project/catboost,2024-09-07 16:51:57.000,535.0,3327617.0,https://anaconda.org/conda-forge/catboost,2024-09-07 21:05:39.027,1716110.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +45,Tensorboard,tensorflow/tensorboard,ml-experiments,,https://github.com/tensorflow/tensorboard,https://github.com/tensorflow/tensorboard,Apache-2.0,2017-05-15 20:08:07.000,2024-09-27 11:17:28.293000,2024-09-26 19:35:59,5864.0,23.0,1655.0,189.0,5042.0,683.0,1239.0,6683.0,TensorFlows Visualization Toolkit.,321.0,42,True,2024-09-25 21:21:50.000,2.18.0,63.0,tensorboard,conda-forge/tensorboard,,['tensorflow'],,21418757.0,264848.0,262628.0,https://pypi.org/project/tensorboard,2024-09-25 21:21:50.000,2220.0,21321977.0,https://anaconda.org/conda-forge/tensorboard,2024-09-27 11:17:28.293,5032592.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +46,scikit-image,scikit-image/scikit-image,image,,https://github.com/scikit-image/scikit-image,https://github.com/scikit-image/scikit-image,,2011-07-07 22:07:20.000,2024-10-03 03:57:51.000000,2024-10-03 03:57:51,14131.0,95.0,2216.0,186.0,4500.0,791.0,2105.0,6056.0,Image processing in Python.,672.0,42,False,2024-06-18 19:05:37.000,0.24.0,67.0,scikit-image,conda-forge/scikit-image,,,,24074634.0,203793.0,197668.0,https://pypi.org/project/scikit-image,2024-06-18 19:03:37.000,6125.0,23941298.0,https://anaconda.org/conda-forge/scikit-image,2024-08-17 02:34:14.270,6933520.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +47,PaddleOCR,PaddlePaddle/PaddleOCR,ocr,,https://github.com/PaddlePaddle/PaddleOCR,https://github.com/PaddlePaddle/PaddleOCR,Apache-2.0,2020-05-08 10:38:16.000,2024-10-02 11:10:04.000000,2024-10-02 10:45:14,6294.0,84.0,7715.0,440.0,3080.0,169.0,9153.0,42987.0,"Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages..",255.0,41,True,2024-07-17 10:49:23.000,2.8.1,46.0,paddleocr,,,['paddle'],388109.0,531095.0,3477.0,3375.0,https://pypi.org/project/paddleocr,2024-07-17 10:49:23.000,102.0,523175.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +48,DeepSpeed,microsoft/DeepSpeed,distributed-ml,,https://github.com/microsoft/DeepSpeed,https://github.com/microsoft/DeepSpeed,Apache-2.0,2020-01-23 18:35:18.000,2024-10-02 22:02:15.000000,2024-09-27 20:32:48,2492.0,132.0,4042.0,342.0,2963.0,1123.0,1762.0,34969.0,"DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and..",342.0,41,True,2024-09-05 01:33:59.000,0.15.1,95.0,deepspeed,,,['pytorch'],,507555.0,9121.0,8924.0,https://pypi.org/project/deepspeed,2024-09-05 01:33:59.000,197.0,507227.0,,,,1.0,deepspeed/deepspeed,https://hub.docker.com/r/deepspeed/deepspeed,2022-09-02 00:25:31.275782,4.0,18723.0,,,,,,,,,,,,,,,,,,,, +49,Faiss,facebookresearch/faiss,nn-search,,https://github.com/facebookresearch/faiss,https://github.com/facebookresearch/faiss,MIT,2017-02-07 16:07:05.000,2024-10-02 20:56:06.000000,2024-10-01 02:35:31,1255.0,110.0,3572.0,480.0,1190.0,240.0,2270.0,30753.0,A library for efficient similarity search and clustering of dense vectors.,192.0,41,True,2024-09-25 11:24:52.000,2.4.7,101.0,pymilvus,conda-forge/faiss,,,,1032151.0,4190.0,4023.0,https://pypi.org/project/pymilvus,2024-09-25 11:24:52.000,167.0,999555.0,https://anaconda.org/conda-forge/faiss,2024-08-09 18:17:48.122,1695041.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +50,Milvus,milvus-io/milvus,nn-search,,https://github.com/milvus-io/milvus,https://github.com/milvus-io/milvus,Apache-2.0,2019-09-16 06:43:43.000,2024-09-30 17:05:17.000000,2024-09-30 17:05:15,20852.0,630.0,2840.0,277.0,22488.0,755.0,11155.0,29800.0,"A cloud-native vector database, storage for next generation AI applications.",290.0,41,True,2024-09-25 11:24:52.000,2.4.7,101.0,pymilvus,,,,267892.0,2098298.0,167.0,,https://pypi.org/project/pymilvus,2024-09-25 11:24:52.000,167.0,999555.0,,,,1.0,milvusdb/milvus,https://hub.docker.com/r/milvusdb/milvus,2024-09-27 08:06:32.767498,62.0,66751036.0,,,,,,,,,,,,,,,,,,,, +51,sentence-transformers,UKPLab/sentence-transformers,nlp,,https://github.com/UKPLab/sentence-transformers,https://github.com/UKPLab/sentence-transformers,Apache-2.0,2019-07-24 10:53:51.000,2024-09-30 15:54:02.000000,2024-09-30 15:54:02,1553.0,46.0,2437.0,140.0,546.0,1155.0,1009.0,14966.0,State-of-the-Art Text Embeddings.,182.0,41,True,2024-09-19 14:18:18.000,3.1.1,55.0,sentence-transformers,conda-forge/sentence-transformers,,['pytorch'],,5381125.0,50652.0,49018.0,https://pypi.org/project/sentence-transformers,2024-09-19 14:18:03.000,1634.0,5372974.0,https://anaconda.org/conda-forge/sentence-transformers,2024-09-24 16:14:33.235,399428.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +52,yfinance,ranaroussi/yfinance,financial-data,,https://github.com/ranaroussi/yfinance,https://github.com/ranaroussi/yfinance,Apache-2.0,2017-05-21 10:16:15.000,2024-10-02 19:12:48.000000,2024-10-02 19:11:30,1307.0,70.0,2325.0,242.0,601.0,185.0,1177.0,13146.0,Download market data from Yahoo! Finances API.,122.0,41,True,2024-09-30 19:02:33.000,0.2.44,116.0,yfinance,ranaroussi/yfinance,,,,2241798.0,48218.0,47561.0,https://pypi.org/project/yfinance,2024-09-30 19:02:33.000,657.0,2239350.0,https://anaconda.org/ranaroussi/yfinance,2023-06-16 19:26:44.442,95509.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +53,Seaborn,mwaskom/seaborn,data-viz,,https://github.com/mwaskom/seaborn,https://github.com/mwaskom/seaborn,BSD-3-Clause,2012-06-18 18:41:19.000,2024-08-14 20:01:50.000000,2024-07-22 11:32:48,3237.0,2.0,1904.0,263.0,1121.0,176.0,2406.0,12444.0,Statistical data visualization in Python.,213.0,41,True,2024-01-25 13:21:49.000,0.13.2,37.0,seaborn,conda-forge/seaborn,,,443.0,19386920.0,489486.0,478643.0,https://pypi.org/project/seaborn,2024-01-25 13:21:49.000,10843.0,19188968.0,https://anaconda.org/conda-forge/seaborn,2024-04-30 16:33:12.611,10293392.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +54,PyMC3,pymc-devs/pymc,probabilistics,,https://github.com/pymc-devs/pymc,https://github.com/pymc-devs/pymc,Apache-2.0,2009-05-05 09:43:50.000,2024-10-03 09:53:46.000000,2024-10-03 09:16:46,10053.0,68.0,1999.0,224.0,4062.0,311.0,3061.0,8665.0,Bayesian Modeling and Probabilistic Programming in Python.,505.0,41,True,2024-10-03 09:11:52.000,5.17.0,90.0,pymc3,conda-forge/pymc3,,,1955.0,296856.0,4404.0,4212.0,https://pypi.org/project/pymc3,2024-05-31 12:35:21.000,192.0,285260.0,https://anaconda.org/conda-forge/pymc3,2024-06-02 18:14:42.309,602191.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +55,Shapely,shapely/shapely,geospatial-data,,https://github.com/shapely/shapely,https://github.com/shapely/shapely,BSD-3-Clause,2011-12-31 19:43:11.000,2024-10-02 09:57:29.000000,2024-10-02 09:57:23,2317.0,43.0,565.0,90.0,883.0,288.0,951.0,3850.0,Manipulation and analysis of geometric objects.,160.0,41,True,2024-08-19 21:56:13.000,2.0.6,125.0,shapely,conda-forge/shapely,,,3682.0,32820717.0,83675.0,80740.0,https://pypi.org/project/shapely,2024-08-19 21:56:13.000,2935.0,32613466.0,https://anaconda.org/conda-forge/shapely,2024-09-25 14:46:10.973,10357485.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +56,SageMaker SDK,aws/sagemaker-python-sdk,ml-experiments,,https://github.com/aws/sagemaker-python-sdk,https://github.com/aws/sagemaker-python-sdk,Apache-2.0,2017-11-14 01:03:33.000,2024-10-03 14:18:01.000000,2024-10-02 00:18:26,3846.0,102.0,1132.0,137.0,3186.0,314.0,1204.0,2093.0,A library for training and deploying machine learning models on Amazon SageMaker.,458.0,41,True,2024-09-19 17:38:01.000,2.232.1,606.0,sagemaker,conda-forge/sagemaker-python-sdk,,"['mxnet', 'tensorflow']",,31443125.0,4604.0,4461.0,https://pypi.org/project/sagemaker,2024-09-19 17:38:01.000,143.0,31421476.0,https://anaconda.org/conda-forge/sagemaker-python-sdk,2024-07-31 06:30:51.886,1082471.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +57,OpenAI Gym,openai/gym,reinforcement-learning,,https://github.com/openai/gym,https://github.com/openai/gym,MIT,2016-04-27 14:59:16.000,2024-05-02 16:09:06.000000,2023-01-30 18:15:21,1757.0,,8590.0,1058.0,1454.0,102.0,1723.0,34577.0,A toolkit for developing and comparing reinforcement learning algorithms.,383.0,40,False,2023-07-20 15:30:49.667,0.0.1,108.0,gym,conda-forge/gym,,,,17380770.0,58867.0,57319.0,https://pypi.org/project/gym,2023-07-20 15:30:49.667,1548.0,17374841.0,https://anaconda.org/conda-forge/gym,2023-06-16 19:18:41.854,320168.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +58,Fastai,fastai/fastai,ml-frameworks,,https://github.com/fastai/fastai,https://github.com/fastai/fastai,Apache-2.0,2017-09-09 17:43:36.000,2024-09-25 15:53:49.000000,2024-09-25 15:53:46,2789.0,14.0,7546.0,606.0,2234.0,222.0,1593.0,26172.0,The fastai deep learning library.,670.0,40,True,2024-08-27 06:50:53.000,2.7.17,151.0,fastai,,,['pytorch'],,374569.0,19128.0,18824.0,https://pypi.org/project/fastai,2024-08-27 06:50:53.000,304.0,374569.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +59,PyTorch Geometric,pyg-team/pytorch_geometric,graph,,https://github.com/pyg-team/pytorch_geometric,https://github.com/pyg-team/pytorch_geometric,MIT,2017-10-06 16:03:03.000,2024-10-03 14:48:24.000000,2024-09-24 15:27:12,7624.0,52.0,3629.0,252.0,3128.0,1029.0,2654.0,21079.0,Graph Neural Network Library for PyTorch.,519.0,40,True,2024-09-26 08:11:27.000,2.6.1,46.0,torch-geometric,conda-forge/pytorch_geometric,,['pytorch'],,420958.0,6909.0,6555.0,https://pypi.org/project/torch-geometric,2024-09-26 08:11:27.000,354.0,419176.0,https://anaconda.org/conda-forge/pytorch_geometric,2024-09-26 16:16:39.995,90920.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +60,Jina,jina-ai/jina,ml-frameworks,,https://github.com/jina-ai/jina,https://github.com/jina-ai/jina,Apache-2.0,2020-02-13 17:04:44.000,2024-10-01 23:03:49.000000,2024-10-01 23:03:47,8605.0,60.0,2216.0,210.0,4206.0,22.0,1936.0,21008.0,Build multimodal AI applications with cloud-native stack.,177.0,40,True,2024-10-01 09:31:10.000,3.27.17,2481.0,jina,conda-forge/jina-core,,,,126912.0,1795.0,1768.0,https://pypi.org/project/jina,2024-10-01 09:22:15.000,27.0,93664.0,https://anaconda.org/conda-forge/jina-core,2023-06-16 19:27:18.682,75294.0,2.0,jinaai/jina,https://hub.docker.com/r/jinaai/jina,2024-10-01 09:40:53.390346,8.0,1748039.0,,,,,,,,,,,,,,,,,,,, +61,gensim,RaRe-Technologies/gensim,nlp,,https://github.com/piskvorky/gensim,https://github.com/piskvorky/gensim,LGPL-2.1,2011-02-10 07:43:04.000,2024-09-03 16:06:08.530000,2024-08-10 11:58:54,4534.0,8.0,4374.0,430.0,1708.0,384.0,1465.0,15591.0,Topic Modelling for Humans.,458.0,40,True,2024-07-19 14:39:26.000,4.3.3,94.0,gensim,conda-forge/gensim,,,4879.0,4540994.0,66324.0,64947.0,https://pypi.org/project/gensim,2024-07-19 14:39:26.000,1377.0,4508612.0,https://anaconda.org/conda-forge/gensim,2024-09-03 16:06:08.530,1390512.0,1.0,,,,,,,,piskvorky/gensim,,,,,,,,,,,,,,,,, +62,Albumentations,albumentations-team/albumentations,image,,https://github.com/albumentations-team/albumentations,https://github.com/albumentations-team/albumentations,MIT,2018-06-06 03:10:50.000,2024-10-03 02:26:08.000000,2024-10-03 02:26:00,1010.0,74.0,1638.0,129.0,919.0,343.0,682.0,14101.0,Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125.,150.0,40,True,2024-09-30 22:34:00.000,1.4.17,72.0,albumentations,conda-forge/albumentations,,['pytorch'],,4419616.0,27993.0,27412.0,https://pypi.org/project/albumentations,2024-09-30 22:34:00.000,581.0,4415770.0,https://anaconda.org/conda-forge/albumentations,2024-09-22 17:25:30.224,196182.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +63,dlib,davisking/dlib,ml-frameworks,,https://github.com/davisking/dlib,https://github.com/davisking/dlib,BSL-1.0,2014-01-29 00:45:33.000,2024-09-30 01:59:21.000000,2024-09-30 01:59:21,8281.0,15.0,3366.0,479.0,724.0,53.0,2174.0,13461.0,A toolkit for making real world machine learning and data analysis applications in C++.,197.0,40,False,2024-08-09 19:26:11.000,19.24.6,39.0,dlib,conda-forge/dlib,,,25502.0,176979.0,30672.0,30459.0,https://pypi.org/project/dlib,2024-08-09 19:21:06.000,213.0,160040.0,https://anaconda.org/conda-forge/dlib,2024-09-11 22:57:26.780,869027.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +64,Tokenizers,huggingface/tokenizers,nlp,,https://github.com/huggingface/tokenizers,https://github.com/huggingface/tokenizers,Apache-2.0,2019-11-01 17:52:20.000,2024-10-01 12:48:03.000000,2024-10-01 12:48:02,1820.0,39.0,762.0,119.0,646.0,38.0,946.0,8928.0,Fast State-of-the-Art Tokenizers optimized for Research and Production.,93.0,40,True,2024-08-08 16:56:21.000,0.20.0,97.0,tokenizers,conda-forge/tokenizers,,,65.0,30573931.0,106110.0,105198.0,https://pypi.org/project/tokenizers,2024-08-08 16:55:26.000,912.0,30533203.0,https://anaconda.org/conda-forge/tokenizers,2024-08-12 03:17:57.893,2077113.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +65,speechbrain,speechbrain/speechbrain,audio,,https://github.com/speechbrain/speechbrain,https://github.com/speechbrain/speechbrain,Apache-2.0,2020-04-28 17:48:45.000,2024-10-01 14:25:54.000000,2024-10-01 14:25:53,10120.0,248.0,1368.0,133.0,1268.0,136.0,992.0,8639.0,A PyTorch-based Speech Toolkit.,242.0,40,True,2024-10-01 10:55:15.000,1.0.1,17.0,speechbrain,,,['pytorch'],,2887533.0,2359.0,2297.0,https://pypi.org/project/speechbrain,2024-09-02 14:25:26.000,62.0,2887533.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +66,accelerate,huggingface/accelerate,pytorch-utils,,https://github.com/huggingface/accelerate,https://github.com/huggingface/accelerate,Apache-2.0,2020-10-30 13:27:12.000,2024-09-30 12:50:30.000000,2024-09-30 12:50:29,1570.0,83.0,928.0,97.0,1545.0,130.0,1460.0,7767.0,"A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic..",290.0,40,True,2024-09-05 16:45:17.000,0.34.2,60.0,accelerate,conda-forge/accelerate,,['pytorch'],,7450666.0,53996.0,52545.0,https://pypi.org/project/accelerate,2024-09-13 12:50:42.000,1451.0,7444655.0,https://anaconda.org/conda-forge/accelerate,2024-09-06 14:22:25.390,216428.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +67,dask.distributed,dask/distributed,distributed-ml,,https://github.com/dask/distributed,https://github.com/dask/distributed,BSD-3-Clause,2015-09-13 18:42:29.000,2024-10-03 08:10:43.000000,2024-10-02 14:37:26,5896.0,82.0,718.0,57.0,5149.0,1573.0,2369.0,1570.0,A distributed task scheduler for Dask.,329.0,40,True,2024-09-28 00:59:41.000,2024.9.1,240.0,distributed,conda-forge/distributed,,,,5298602.0,37501.0,36660.0,https://pypi.org/project/distributed,2024-09-28 00:59:41.000,841.0,5015859.0,https://anaconda.org/conda-forge/distributed,2024-09-28 02:21:08.800,14985422.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +68,flair,flairNLP/flair,nlp,,https://github.com/flairNLP/flair,https://github.com/flairNLP/flair,MIT,2018-06-11 11:04:18.000,2024-09-28 18:48:21.000000,2024-08-30 09:20:57,6142.0,101.0,2088.0,202.0,1229.0,110.0,2219.0,13853.0,A very simple framework for state-of-the-art Natural Language Processing (NLP).,270.0,39,True,2024-07-25 12:21:58.000,0.14.0,33.0,flair,conda-forge/python-flair,,['pytorch'],,93190.0,3680.0,3539.0,https://pypi.org/project/flair,2024-07-25 12:15:28.000,141.0,92570.0,https://anaconda.org/conda-forge/python-flair,2024-01-05 20:59:40.138,31663.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +69,dgl,dmlc/dgl,graph,,https://github.com/dmlc/dgl,https://github.com/dmlc/dgl,Apache-2.0,2018-04-20 14:49:09.000,2024-09-25 02:40:08.000000,2024-09-25 02:40:07,4404.0,239.0,2997.0,173.0,5039.0,524.0,2355.0,13403.0,"Python package built to ease deep learning on graph, on top of existing DL frameworks.",295.0,39,True,2024-09-03 04:16:25.000,2.4.0,453.0,dgl,,,,,112261.0,449.0,301.0,https://pypi.org/project/dgl,2024-05-13 01:10:39.000,148.0,112261.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +70,CuPy,cupy/cupy,gpu-utilities,,https://github.com/cupy/cupy,https://github.com/cupy/cupy,MIT,2016-11-01 09:54:45.000,2024-10-03 13:47:47.000000,2024-10-03 05:15:22,29045.0,373.0,808.0,127.0,6355.0,636.0,1757.0,9298.0,NumPy & SciPy for GPU.,388.0,39,True,2024-08-22 07:42:45.000,13.3.0,141.0,cupy,conda-forge/cupy,,,188677.0,142951.0,2536.0,2267.0,https://pypi.org/project/cupy,2024-08-22 07:08:16.000,269.0,50418.0,https://anaconda.org/conda-forge/cupy,2024-08-22 12:51:10.755,4719511.0,1.0,cupy/cupy,https://hub.docker.com/r/cupy/cupy,2024-08-22 07:44:42.171252,13.0,67698.0,,,,,,,,,,,,,,,,,,,, +71,sktime,alan-turing-institute/sktime,time-series-data,,https://github.com/sktime/sktime,https://github.com/sktime/sktime,BSD-3-Clause,2018-11-06 15:08:24.000,2024-10-03 08:36:44.000000,2024-10-01 20:22:37,4932.0,258.0,1331.0,104.0,4245.0,951.0,1578.0,7797.0,A unified framework for machine learning with time series.,395.0,39,True,2024-09-26 08:11:08.000,0.33.1,81.0,sktime,conda-forge/sktime-all-extras,,['sklearn'],101.0,751998.0,3432.0,3306.0,https://pypi.org/project/sktime,2024-09-26 08:11:08.000,126.0,725972.0,https://anaconda.org/conda-forge/sktime-all-extras,2024-09-25 06:57:14.828,1015002.0,1.0,,,,,,,,sktime/sktime,,,,,,,,,,,,,,,,, +72,GeoPandas,geopandas/geopandas,geospatial-data,,https://github.com/geopandas/geopandas,https://github.com/geopandas/geopandas,BSD-3-Clause,2013-06-27 17:03:47.000,2024-09-24 21:46:31.000000,2024-09-24 21:46:31,2022.0,20.0,919.0,104.0,1689.0,440.0,1262.0,4465.0,Python tools for geographic data.,234.0,39,True,2024-07-02 12:26:55.000,1.0.1,57.0,geopandas,conda-forge/geopandas,,['pandas'],2720.0,7419352.0,43992.0,41167.0,https://pypi.org/project/geopandas,2024-07-02 12:26:50.000,2825.0,7342295.0,https://anaconda.org/conda-forge/geopandas,2024-09-21 05:55:22.256,4005608.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +73,TensorFlow Datasets,tensorflow/datasets,tensorflow-utils,,https://github.com/tensorflow/datasets,https://github.com/tensorflow/datasets,Apache-2.0,2018-09-10 21:27:22.000,2024-10-03 16:25:33.000000,2024-10-03 12:25:12,6507.0,136.0,1536.0,109.0,4449.0,689.0,742.0,4287.0,"TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...",313.0,39,True,2024-06-05 08:15:47.000,4.9.6,39.0,tensorflow-datasets,conda-forge/tensorflow-datasets,,['tensorflow'],,1595718.0,19824.0,19495.0,https://pypi.org/project/tensorflow-datasets,2024-06-05 08:15:42.000,329.0,1594864.0,https://anaconda.org/conda-forge/tensorflow-datasets,2023-06-16 19:25:46.849,35053.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +74,MNE,mne-tools/mne-python,medical-data,,https://github.com/mne-tools/mne-python,https://github.com/mne-tools/mne-python,BSD-3-Clause,2011-01-28 03:31:13.000,2024-10-02 17:12:20.000000,2024-10-02 17:12:20,18141.0,123.0,1306.0,83.0,8021.0,527.0,4366.0,2681.0,MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python.,378.0,39,True,2024-08-19 02:18:45.000,1.8.0,80.0,mne,conda-forge/mne,,,,164404.0,4816.0,4428.0,https://pypi.org/project/mne,2024-08-19 02:18:45.000,388.0,156369.0,https://anaconda.org/conda-forge/mne,2024-08-19 02:39:24.602,425892.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +75,PyFlink,apache/flink,ml-frameworks,,https://github.com/apache/flink,https://github.com/apache/flink,Apache-2.0,2014-06-07 07:00:10.000,2024-10-03 13:44:23.000000,2024-10-03 13:44:23,35983.0,414.0,13217.0,947.0,25432.0,1220.0,,23888.0,Apache Flink Python API.,1922.0,38,True,2024-06-14 14:43:26.000,1.19.1,49.0,apache-flink,,,,,205320.0,56.0,21.0,https://pypi.org/project/apache-flink,2024-08-01 04:14:17.000,35.0,205320.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +76,MXNet,apache/incubator-mxnet,ml-frameworks,,https://github.com/apache/mxnet,https://github.com/apache/mxnet,Apache-2.0,2015-04-30 16:21:15.000,2023-10-25 21:28:33.000000,2023-01-26 21:28:45,11896.0,,6800.0,1068.0,11124.0,1805.0,7758.0,20772.0,"Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler;..",982.0,38,False,2022-10-24 07:38:03.000,1.9.1,983.0,mxnet,mxnet,,['mxnet'],27614.0,640370.0,7634.0,7508.0,https://pypi.org/project/mxnet,2022-05-17 21:11:13.000,120.0,639962.0,https://anaconda.org/anaconda/mxnet,2023-06-16 13:24:22.589,11099.0,2.0,,,,,,,,apache/mxnet,,,,,,,,,6.0,,,,,,,, +77,Rasa,RasaHQ/rasa,nlp,,https://github.com/RasaHQ/rasa,https://github.com/RasaHQ/rasa,Apache-2.0,2016-10-14 12:27:49.000,2024-09-16 12:14:44.000000,2024-03-21 15:05:22,32610.0,,4612.0,352.0,6373.0,124.0,6642.0,18716.0,"Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management,..",597.0,38,True,2024-04-18 15:06:29.000,3.6.20,373.0,rasa,,,['tensorflow'],,150528.0,4538.0,4478.0,https://pypi.org/project/rasa,2024-04-18 15:06:12.000,60.0,150528.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +78,MoviePy,Zulko/moviepy,image,,https://github.com/Zulko/moviepy,https://github.com/Zulko/moviepy,MIT,2013-08-12 09:39:28.000,2024-08-20 10:05:57.000000,2024-05-27 18:04:07,1101.0,,1540.0,255.0,683.0,473.0,1059.0,12423.0,Video editing with Python.,161.0,38,True,2020-05-07 16:29:35.000,1.0.3,85.0,moviepy,conda-forge/moviepy,,,,1320384.0,46810.0,45873.0,https://pypi.org/project/moviepy,2021-12-15 14:41:26.454,937.0,1317309.0,https://anaconda.org/conda-forge/moviepy,2023-06-16 13:23:34.876,267540.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +79,deepface,serengil/deepface,image,,https://github.com/serengil/deepface,https://github.com/serengil/deepface,MIT,2020-02-08 20:42:28.000,2024-10-01 08:52:45.000000,2024-10-01 08:52:45,1640.0,115.0,2000.0,143.0,236.0,9.0,1105.0,11989.0,"A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python.",66.0,38,True,2024-08-17 07:30:49.000,0.0.93,92.0,deepface,,,,,94968.0,4172.0,4130.0,https://pypi.org/project/deepface,2024-08-17 07:24:30.000,42.0,94968.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +80,sentencepiece,google/sentencepiece,nlp,,https://github.com/google/sentencepiece,https://github.com/google/sentencepiece,Apache-2.0,2017-03-07 10:03:48.000,2024-10-01 15:58:11.000000,2024-08-18 00:47:35,986.0,19.0,1157.0,127.0,309.0,34.0,714.0,10133.0,Unsupervised text tokenizer for Neural Network-based text generation.,89.0,38,True,2024-02-19 17:03:42.000,0.2.0,35.0,sentencepiece,conda-forge/sentencepiece,,,44455.0,21764165.0,80208.0,78476.0,https://pypi.org/project/sentencepiece,2024-02-19 17:03:42.000,1732.0,21743096.0,https://anaconda.org/conda-forge/sentencepiece,2024-09-28 23:52:46.995,1043946.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +81,espnet,espnet/espnet,audio,,https://github.com/espnet/espnet,https://github.com/espnet/espnet,Apache-2.0,2017-12-13 00:45:11.000,2024-10-01 06:32:46.000000,2024-10-01 06:12:23,22119.0,470.0,2159.0,182.0,3372.0,347.0,2078.0,8348.0,End-to-End Speech Processing Toolkit.,448.0,38,True,2024-10-01 06:28:01.000,.202409,53.0,espnet,,,,82.0,29969.0,386.0,374.0,https://pypi.org/project/espnet,2024-02-06 03:28:41.000,12.0,29968.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +82,folium,python-visualization/folium,geospatial-data,,https://github.com/python-visualization/folium,https://github.com/python-visualization/folium,MIT,2013-05-09 04:21:35.000,2024-10-03 11:49:18.000000,2024-10-03 11:49:15,1881.0,7.0,2220.0,162.0,868.0,88.0,1034.0,6873.0,Python Data. Leaflet.js Maps.,170.0,38,True,2024-06-16 15:22:45.000,0.17.0,32.0,folium,conda-forge/folium,,,,1528889.0,44202.0,43456.0,https://pypi.org/project/folium,2024-06-16 15:22:45.000,746.0,1460090.0,https://anaconda.org/conda-forge/folium,2024-06-17 06:35:28.582,3095996.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +83,PyVista,pyvista/pyvista,data-viz,,https://github.com/pyvista/pyvista,https://github.com/pyvista/pyvista,MIT,2017-05-31 18:01:42.000,2024-10-01 09:35:21.000000,2024-10-01 06:27:15,4740.0,216.0,477.0,36.0,3679.0,602.0,1128.0,2641.0,3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK).,163.0,38,True,2024-07-22 04:26:19.000,0.44.1,98.0,pyvista,conda-forge/pyvista,,['jupyter'],831.0,293629.0,3998.0,3471.0,https://pypi.org/project/pyvista,2024-07-20 05:33:22.000,527.0,282926.0,https://anaconda.org/conda-forge/pyvista,2024-07-20 12:44:44.232,556051.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +84,Rasterio,rasterio/rasterio,geospatial-data,,https://github.com/rasterio/rasterio,https://github.com/rasterio/rasterio,BSD-3-Clause,2013-11-04 16:36:27.000,2024-10-02 16:13:13.000000,2024-10-01 16:54:30,3893.0,40.0,530.0,147.0,1208.0,140.0,1679.0,2237.0,Rasterio reads and writes geospatial raster datasets.,159.0,38,True,2024-10-01 13:34:26.000,1.4.1,164.0,rasterio,conda-forge/rasterio,,,965.0,3353841.0,14624.0,13191.0,https://pypi.org/project/rasterio,2024-10-01 13:28:36.000,1433.0,3274061.0,https://anaconda.org/conda-forge/rasterio,2024-10-01 11:13:22.492,3589784.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +85,huggingface_hub,huggingface/huggingface_hub,model-serialisation,,https://github.com/huggingface/huggingface_hub,https://github.com/huggingface/huggingface_hub,Apache-2.0,2020-12-22 10:20:28.000,2024-10-03 12:10:52.000000,2024-10-03 12:10:52,1574.0,109.0,531.0,58.0,1519.0,156.0,807.0,2020.0,The official Python client for the Huggingface Hub.,199.0,38,True,2024-09-23 13:28:43.000,0.25.1,127.0,huggingface_hub,conda-forge/huggingface_hub,,,,43399449.0,1823.0,,https://pypi.org/project/huggingface_hub,2024-09-23 13:23:36.000,1823.0,43350028.0,https://anaconda.org/conda-forge/huggingface_hub,2024-09-23 21:01:59.161,2174546.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +86,imageio,imageio/imageio,image,,https://github.com/imageio/imageio,https://github.com/imageio/imageio,BSD-2-Clause,2013-05-04 22:56:45.000,2024-08-19 12:09:51.456000,2024-08-19 02:35:18,1541.0,6.0,292.0,30.0,495.0,98.0,507.0,1464.0,Python library for reading and writing image data.,116.0,38,True,2024-08-19 02:35:29.000,2.35.1,94.0,imageio,conda-forge/imageio,,,1321.0,32675783.0,144437.0,142016.0,https://pypi.org/project/imageio,2024-08-19 02:35:25.000,2421.0,32539311.0,https://anaconda.org/conda-forge/imageio,2024-08-19 12:09:51.456,6959199.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +87,jieba,fxsjy/jieba,chinese-nlp,,https://github.com/fxsjy/jieba,https://github.com/fxsjy/jieba,MIT,2012-09-29 07:52:01.000,2024-08-21 09:23:45.000000,2020-02-15 08:33:35,523.0,,6713.0,1279.0,167.0,674.0,227.0,33157.0,Chinese Words Segmentation Utilities.,49.0,37,False,2020-01-20 14:27:23.000,0.42.1,32.0,jieba,conda-forge/jieba,,,,1335895.0,32075.0,31237.0,https://pypi.org/project/jieba,2020-01-20 14:27:23.000,838.0,1334101.0,https://anaconda.org/conda-forge/jieba,2023-06-16 13:21:35.778,161532.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +88,MMDetection,open-mmlab/mmdetection,image,,https://github.com/open-mmlab/mmdetection,https://github.com/open-mmlab/mmdetection,Apache-2.0,2018-08-22 07:06:06.000,2024-08-21 02:01:07.000000,2024-02-05 13:23:18,2706.0,,9401.0,371.0,3157.0,1782.0,6712.0,29223.0,OpenMMLab Detection Toolbox and Benchmark.,480.0,37,True,2024-01-05 06:25:30.000,3.3.0,53.0,mmdet,,,['pytorch'],,176399.0,3096.0,3014.0,https://pypi.org/project/mmdet,2024-01-05 06:25:30.000,82.0,176399.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +89,Netron,lutzroeder/netron,interpretability,,https://github.com/lutzroeder/netron,https://github.com/lutzroeder/netron,MIT,2010-12-26 12:53:43.000,2024-10-03 01:30:42.000000,2024-10-03 01:30:14,8515.0,321.0,2754.0,300.0,230.0,25.0,1114.0,27750.0,"Visualizer for neural network, deep learning and machine learning models.",2.0,37,True,2024-09-29 17:23:25.000,7.9.3,670.0,netron,,,"['pytorch', 'tensorflow']",68195.0,102806.0,651.0,568.0,https://pypi.org/project/netron,2024-09-29 17:23:25.000,83.0,34611.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +90,InsightFace,deepinsight/insightface,image,,https://github.com/deepinsight/insightface,https://github.com/deepinsight/insightface,MIT,2017-09-01 00:36:51.000,2024-09-30 03:00:08.000000,2024-09-30 03:00:08,2336.0,33.0,5362.0,510.0,176.0,1128.0,1371.0,22995.0,State-of-the-art 2D and 3D Face Analysis Project.,61.0,37,True,2023-04-02 08:03:01.222,0.7.3,28.0,insightface,,,['mxnet'],4828478.0,555063.0,2780.0,2750.0,https://pypi.org/project/insightface,2022-12-17 02:14:00.699,30.0,286815.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +91,pyecharts,pyecharts/pyecharts,data-viz,,https://github.com/pyecharts/pyecharts,https://github.com/pyecharts/pyecharts,MIT,2017-06-22 02:50:25.000,2024-09-26 09:55:42.000000,2024-06-20 12:51:40,1687.0,,2841.0,378.0,468.0,5.0,1899.0,14812.0,Python Echarts Plotting Library.,44.0,37,True,2024-06-20 15:50:49.000,2.0.6,74.0,pyecharts,,https://github.com/pyecharts/pyecharts/blob/master/README.en.md,['jupyter'],69.0,141978.0,4667.0,4458.0,https://pypi.org/project/pyecharts,2024-06-20 15:48:17.000,209.0,141975.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +92,pandas-profiling,ydataai/pandas-profiling,data-viz,,https://github.com/ydataai/ydata-profiling,https://github.com/ydataai/ydata-profiling,MIT,2016-01-09 23:47:55.000,2024-09-27 01:02:27.000000,2024-09-27 01:01:22,1484.0,33.0,1672.0,152.0,809.0,235.0,571.0,12425.0,1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.,130.0,37,True,2024-09-07 09:50:39.000,4.10.0,63.0,pandas-profiling,conda-forge/pandas-profiling,,"['jupyter', 'pandas']",186.0,330975.0,4461.0,4278.0,https://pypi.org/project/pandas-profiling,2023-02-03 17:59:40.571,183.0,326238.0,https://anaconda.org/conda-forge/pandas-profiling,2023-06-16 13:22:30.453,464160.0,2.0,,,,,,,,ydataai/ydata-profiling,,,,,,,,,,,,,,,,, +93,Theano,Theano/Theano,ml-frameworks,,https://github.com/Theano/Theano,https://github.com/Theano/Theano,BSD-3-Clause,2011-08-10 03:48:06.000,2024-01-15 03:16:24.000000,2024-01-15 03:16:24,28133.0,,2483.0,538.0,4119.0,694.0,2087.0,9894.0,"Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving..",386.0,37,True,2020-07-27 16:13:54.000,1.0.5,45.0,theano,conda-forge/theano,,,,118116.0,15691.0,15519.0,https://pypi.org/project/theano,2020-07-27 16:13:54.000,172.0,93375.0,https://anaconda.org/conda-forge/theano,2023-06-16 13:23:49.668,2449450.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +94,Kornia,kornia/kornia,image,,https://github.com/kornia/kornia,https://github.com/kornia/kornia,Apache-2.0,2018-08-22 10:31:37.000,2024-10-01 08:48:41.000000,2024-10-01 08:48:39,2802.0,42.0,955.0,127.0,1936.0,287.0,657.0,9848.0,Geometric Computer Vision Library for Spatial AI.,268.0,37,True,2024-06-28 15:16:20.000,0.7.3,40.0,kornia,conda-forge/kornia,,['pytorch'],1490.0,1887349.0,12119.0,11857.0,https://pypi.org/project/kornia,2024-06-28 15:16:20.000,262.0,1884096.0,https://anaconda.org/conda-forge/kornia,2024-06-28 20:04:02.857,148742.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +95,PySyft,OpenMined/PySyft,privacy-ml,,https://github.com/OpenMined/PySyft,https://github.com/OpenMined/PySyft,Apache-2.0,2017-07-18 20:41:16.000,2024-10-03 07:40:16.000000,2024-10-01 17:13:09,33177.0,2109.0,1992.0,198.0,5844.0,40.0,3390.0,9454.0,Perform data science on data that remains in someone elses server.,515.0,37,True,2024-09-04 20:09:29.000,0.9.1,315.0,syft,,,['pytorch'],2472.0,15050.0,4.0,1.0,https://pypi.org/project/syft,2024-09-15 12:49:26.000,3.0,14826.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +96,PyCaret,pycaret/pycaret,ml-experiments,,https://github.com/pycaret/pycaret,https://github.com/pycaret/pycaret,MIT,2019-11-23 18:40:48.000,2024-08-30 03:35:21.000000,2024-08-30 03:34:11,5357.0,47.0,1748.0,135.0,1020.0,365.0,1948.0,8850.0,"An open-source, low-code machine learning library in Python.",141.0,37,True,2024-04-28 18:46:27.000,3.3.2,98.0,pycaret,conda-forge/pycaret,,,713.0,269294.0,6432.0,6401.0,https://pypi.org/project/pycaret,2024-04-28 18:46:21.000,31.0,268176.0,https://anaconda.org/conda-forge/pycaret,2024-04-25 15:07:46.052,55278.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +97,Flax,google/flax,ml-frameworks,,https://github.com/google/flax,https://github.com/google/flax,Apache-2.0,2020-01-10 09:48:37.000,2024-10-03 13:27:04.000000,2024-10-02 09:57:35,4717.0,164.0,623.0,86.0,2582.0,262.0,732.0,6006.0,Flax is a neural network library for JAX that is designed for flexibility.,238.0,37,True,2024-08-27 17:51:42.000,0.9.0,47.0,flax,conda-forge/flax,,['jax'],54.0,786816.0,9835.0,9368.0,https://pypi.org/project/flax,2024-08-27 17:51:42.000,467.0,785146.0,https://anaconda.org/conda-forge/flax,2024-08-27 20:55:17.110,71845.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +98,HoloViews,holoviz/holoviews,data-viz,,https://github.com/holoviz/holoviews,https://github.com/holoviz/holoviews,BSD-3-Clause,2014-05-07 16:59:22.000,2024-10-01 16:21:54.000000,2024-10-01 12:41:17,10845.0,31.0,402.0,59.0,3073.0,1110.0,2226.0,2692.0,"With Holoviews, your data visualizes itself.",145.0,37,True,2024-08-01 13:45:47.955,3.0.3,169.0,holoviews,conda-forge/holoviews,,['jupyter'],,717254.0,12608.0,12211.0,https://pypi.org/project/holoviews,2024-10-01 16:21:54.000,392.0,682361.0,https://anaconda.org/conda-forge/holoviews,2024-07-07 07:21:50.008,1799524.0,2.0,,,,,,,,,@pyviz/jupyterlab_pyviz,https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz,2024-08-01 13:45:47.955,5.0,287.0,,,,,,,,,,,, +99,ArcGIS API,Esri/arcgis-python-api,geospatial-data,,https://github.com/Esri/arcgis-python-api,https://github.com/Esri/arcgis-python-api,Apache-2.0,2016-03-16 01:09:14.000,2024-10-02 23:05:03.000000,2024-10-02 23:05:03,4901.0,576.0,1102.0,150.0,1334.0,63.0,697.0,1883.0,Documentation and samples for ArcGIS API for Python.,92.0,37,True,2024-09-24 16:57:38.000,2.4.0,50.0,arcgis,,,,12300.0,75318.0,870.0,830.0,https://pypi.org/project/arcgis,2024-10-01 15:35:29.000,40.0,75192.0,,,,2.0,esridocker/arcgis-api-python-notebook,https://hub.docker.com/r/esridocker/arcgis-api-python-notebook,,,,,,,,,,,,,,,,,,,,,,, +100,Fiona,Toblerity/Fiona,geospatial-data,,https://github.com/Toblerity/Fiona,https://github.com/Toblerity/Fiona,BSD-3-Clause,2011-12-31 19:47:00.000,2024-09-30 16:27:33.000000,2024-09-30 16:27:25,1562.0,29.0,202.0,47.0,607.0,31.0,774.0,1152.0,Fiona reads and writes geographic data files.,76.0,37,True,2024-09-16 20:20:31.000,1.10.1,117.0,fiona,conda-forge/fiona,,,,5272863.0,22942.0,22670.0,https://pypi.org/project/fiona,2024-09-16 20:14:20.000,272.0,5154976.0,https://anaconda.org/conda-forge/fiona,2024-09-18 13:16:30.929,6012270.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +101,EasyOCR,JaidedAI/EasyOCR,ocr,,https://github.com/JaidedAI/EasyOCR,https://github.com/JaidedAI/EasyOCR,Apache-2.0,2020-03-14 11:46:39.000,2024-09-24 11:34:43.000000,2024-09-24 11:18:06,618.0,3.0,3122.0,315.0,259.0,423.0,594.0,23928.0,"Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic,..",129.0,36,True,2024-09-24 11:34:43.000,1.7.2,33.0,easyocr,,,,14871420.0,742520.0,8776.0,8563.0,https://pypi.org/project/easyocr,2024-09-24 11:34:43.000,213.0,456532.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +102,imgaug,aleju/imgaug,image,,https://github.com/aleju/imgaug,https://github.com/aleju/imgaug,MIT,2015-07-10 20:31:33.000,2024-07-30 01:38:33.000000,2020-06-01 14:58:26,2913.0,,2430.0,229.0,340.0,304.0,225.0,14358.0,Image augmentation for machine learning experiments.,36.0,36,False,2020-02-06 06:18:40.000,0.4.0,11.0,imgaug,conda-forge/imgaug,,,,530036.0,22174.0,21909.0,https://pypi.org/project/imgaug,2020-02-05 20:54:22.000,265.0,527245.0,https://anaconda.org/conda-forge/imgaug,2023-06-16 16:15:24.882,178649.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +103,horovod,horovod/horovod,distributed-ml,,https://github.com/horovod/horovod,https://github.com/horovod/horovod,Apache-2.0,2017-08-09 19:39:59.000,2024-08-31 11:57:00.000000,2024-08-31 11:55:45,1340.0,7.0,2222.0,335.0,1601.0,405.0,1860.0,14190.0,"Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.",173.0,36,True,2023-06-12 09:28:02.604,0.28.1,77.0,horovod,,,,,139620.0,1260.0,1227.0,https://pypi.org/project/horovod,2023-06-12 09:28:02.604,33.0,139620.0,,,,2.0,,,,,,,stable/horovod,,,,,,,,,,,,,,,,,, +104,ivy,unifyai/ivy,ml-frameworks,,https://github.com/ivy-llc/ivy,https://github.com/ivy-llc/ivy,Apache-2.0,2021-01-19 08:37:25.000,2024-10-03 16:34:11.000000,2024-10-03 09:52:39,18686.0,357.0,5767.0,70.0,11739.0,937.0,15949.0,14023.0,Convert Machine Learning Code Between Frameworks.,1479.0,36,True,2023-06-29 19:33:01.167,0.0.0,124.0,ivy,,,,,3349.0,12.0,,https://pypi.org/project/ivy,2024-09-25 03:02:55.000,12.0,3349.0,,,,2.0,,,,,,,,ivy-llc/ivy,,,,,,,,,,,,,,,,, +105,glfw,glfw/glfw,image,,https://github.com/glfw/glfw,https://github.com/glfw/glfw,Zlib,2013-04-18 15:24:53.000,2024-08-15 14:02:46.000000,2024-04-12 16:27:53,4816.0,,5179.0,380.0,719.0,655.0,1363.0,12920.0,"A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input.",199.0,36,False,2024-02-24 10:01:09.000,2.7.0,58.0,glfw,conda-forge/glfw,,,3963112.0,481364.0,1634.0,1441.0,https://pypi.org/project/glfw,2024-02-24 10:01:09.000,193.0,441115.0,https://anaconda.org/conda-forge/glfw,2024-02-24 15:41:47.790,254700.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +106,AllenNLP,allenai/allennlp,nlp,,https://github.com/allenai/allennlp,https://github.com/allenai/allennlp,Apache-2.0,2017-05-15 15:52:41.000,2023-06-16 16:12:37.768000,2022-11-22 00:42:46,2719.0,,2243.0,280.0,3096.0,91.0,2477.0,11740.0,"An open-source NLP research library, built on PyTorch.",267.0,36,False,2022-10-18 23:54:05.191,2.10.1,265.0,allennlp,conda-forge/allennlp,,['pytorch'],68.0,92940.0,4351.0,4226.0,https://pypi.org/project/allennlp,2022-10-18 23:54:05.191,125.0,90791.0,https://anaconda.org/conda-forge/allennlp,2023-06-16 16:12:37.768,150484.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +107,NeMo,NVIDIA/NeMo,nlp,,https://github.com/NVIDIA/NeMo,https://github.com/NVIDIA/NeMo,Apache-2.0,2019-08-05 20:16:42.000,2024-10-03 13:53:03.000000,2024-10-03 13:32:48,7207.0,514.0,2440.0,206.0,7779.0,154.0,2210.0,11707.0,"A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal,..",348.0,36,True,2024-08-15 21:55:14.000,r2.0.0rc1,74.0,nemo-toolkit,,,['pytorch'],257201.0,136989.0,34.0,21.0,https://pypi.org/project/nemo-toolkit,2024-08-15 22:05:43.000,13.0,132773.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +108,TextBlob,sloria/TextBlob,nlp,,https://github.com/sloria/TextBlob,https://github.com/sloria/TextBlob,MIT,2013-06-30 18:29:18.000,2024-09-30 22:36:07.000000,2024-08-07 18:02:18,598.0,9.0,1129.0,263.0,192.0,106.0,171.0,9107.0,"Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation,..",37.0,36,True,2024-02-15 20:31:28.000,0.18.0,61.0,textblob,conda-forge/textblob,,,123.0,3092436.0,43419.0,43032.0,https://pypi.org/project/textblob,2024-02-15 20:39:47.000,387.0,3089734.0,https://anaconda.org/conda-forge/textblob,2023-06-16 13:22:54.304,264886.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +109,FiftyOne,voxel51/fiftyone,data-viz,,https://github.com/voxel51/fiftyone,https://github.com/voxel51/fiftyone,Apache-2.0,2020-04-22 13:43:28.000,2024-10-03 14:19:27.000000,2024-10-01 15:34:18,21346.0,725.0,547.0,55.0,3361.0,485.0,1052.0,8707.0,"Visualize, create, and debug image and video datasets and model predictions.",133.0,36,True,2024-10-01 13:49:20.000,1.0.0,148.0,fiftyone,,,"['tensorflow', 'pytorch', 'jupyter']",,72725.0,721.0,699.0,https://pypi.org/project/fiftyone,2024-10-01 01:41:17.000,22.0,72725.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +110,PyOD,yzhao062/pyod,others,,https://github.com/yzhao062/pyod,https://github.com/yzhao062/pyod,BSD-2-Clause,2017-10-03 20:29:04.000,2024-09-06 16:48:34.000000,2024-09-05 19:08:20,1865.0,11.0,1356.0,143.0,248.0,221.0,146.0,8480.0,"A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques.",60.0,36,True,2024-09-06 03:26:33.000,2.0.2,94.0,pyod,conda-forge/pyod,,,,670811.0,4345.0,4232.0,https://pypi.org/project/pyod,2024-09-06 03:24:51.000,113.0,668514.0,https://anaconda.org/conda-forge/pyod,2024-09-06 15:18:34.744,121747.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +111,einops,arogozhnikov/einops,ml-frameworks,,https://github.com/arogozhnikov/einops,https://github.com/arogozhnikov/einops,MIT,2018-09-22 00:45:08.000,2024-09-21 19:23:59.000000,2024-09-21 19:22:59,697.0,20.0,344.0,67.0,125.0,35.0,149.0,8403.0,"Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others).",29.0,36,True,2024-04-28 04:07:49.000,0.8.0,15.0,einops,conda-forge/einops,,,,5108874.0,48488.0,46448.0,https://pypi.org/project/einops,2024-04-28 04:07:49.000,2040.0,5103161.0,https://anaconda.org/conda-forge/einops,2024-04-28 06:22:09.150,274226.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +112,Autograd,HIPS/autograd,others,,https://github.com/HIPS/autograd,https://github.com/HIPS/autograd,MIT,2014-11-24 15:50:23.000,2024-09-30 20:26:40.000000,2024-09-30 20:26:35,1441.0,21.0,905.0,213.0,240.0,178.0,243.0,6959.0,Efficiently computes derivatives of NumPy code.,59.0,36,True,2024-08-22 19:07:12.000,1.7.0,30.0,autograd,conda-forge/autograd,,,,2244303.0,9926.0,9643.0,https://pypi.org/project/autograd,2024-08-22 19:07:12.000,283.0,2227246.0,https://anaconda.org/conda-forge/autograd,2024-08-26 07:50:41.522,477605.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +113,MONAI,Project-MONAI/MONAI,medical-data,,https://github.com/Project-MONAI/MONAI,https://github.com/Project-MONAI/MONAI,Apache-2.0,2019-10-11 16:41:38.000,2024-09-30 07:44:06.000000,2024-09-30 07:41:14,3141.0,78.0,1049.0,89.0,3481.0,354.0,2760.0,5729.0,AI Toolkit for Healthcare Imaging.,204.0,36,True,2024-06-26 07:23:34.000,1.3.2,101.0,monai,conda-forge/monai,,['pytorch'],,161724.0,2990.0,2873.0,https://pypi.org/project/monai,2024-09-30 07:44:06.000,117.0,160838.0,https://anaconda.org/conda-forge/monai,2024-06-26 07:27:45.102,30133.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +114,PyQtGraph,pyqtgraph/pyqtgraph,data-viz,,https://github.com/pyqtgraph/pyqtgraph,https://github.com/pyqtgraph/pyqtgraph,MIT,2013-09-12 07:18:21.000,2024-09-27 13:25:23.000000,2024-09-08 06:20:16,4165.0,58.0,1096.0,153.0,1719.0,416.0,895.0,3869.0,Fast data visualization and GUI tools for scientific / engineering applications.,287.0,36,True,2024-04-29 02:18:56.000,0.13.7,25.0,pyqtgraph,conda-forge/pyqtgraph,,,,341930.0,11358.0,10332.0,https://pypi.org/project/pyqtgraph,2024-04-29 02:18:56.000,1026.0,330460.0,https://anaconda.org/conda-forge/pyqtgraph,2024-05-02 20:24:38.556,596486.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +115,spark-nlp,JohnSnowLabs/spark-nlp,nlp,,https://github.com/JohnSnowLabs/spark-nlp,https://github.com/JohnSnowLabs/spark-nlp,Apache-2.0,2017-09-24 19:36:44.000,2024-10-02 23:09:33.000000,2024-09-28 18:56:29,8603.0,48.0,709.0,97.0,13331.0,38.0,854.0,3827.0,State of the Art Natural Language Processing.,113.0,36,True,2024-09-25 20:20:27.000,5.5.0,148.0,spark-nlp,,,['spark'],,3986756.0,545.0,508.0,https://pypi.org/project/spark-nlp,2024-09-25 14:58:28.000,37.0,3986756.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +116,Thinc,explosion/thinc,ml-frameworks,,https://github.com/explosion/thinc,https://github.com/explosion/thinc,MIT,2014-10-16 16:34:59.000,2024-10-01 10:35:24.000000,2024-09-30 12:55:05,5344.0,19.0,275.0,78.0,797.0,18.0,128.0,2816.0,"A refreshing functional take on deep learning, compatible with your favorite libraries.",64.0,36,True,2024-10-01 10:35:24.000,8.3.2,241.0,thinc,conda-forge/thinc,,,376.0,11071932.0,53755.0,53614.0,https://pypi.org/project/thinc,2024-10-01 10:35:24.000,141.0,11013652.0,https://anaconda.org/conda-forge/thinc,2024-07-14 15:52:37.957,3088649.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +117,Ax,facebook/Ax,hyperopt,,https://github.com/facebook/Ax,https://github.com/facebook/Ax,MIT,2019-02-09 15:23:44.000,2024-10-03 07:08:33.000000,2024-10-03 01:27:39,3305.0,208.0,303.0,69.0,2056.0,59.0,716.0,2353.0,Adaptive Experimentation Platform.,174.0,36,True,2024-09-23 20:22:26.000,0.4.3,43.0,ax-platform,conda-forge/ax-platform,,['pytorch'],,111380.0,865.0,811.0,https://pypi.org/project/ax-platform,2024-09-23 20:22:26.000,54.0,110700.0,https://anaconda.org/conda-forge/ax-platform,2024-09-24 20:13:10.358,27219.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +118,PennyLane,PennyLaneAI/PennyLane,others,,https://github.com/PennyLaneAI/pennylane,https://github.com/PennyLaneAI/pennylane,Apache-2.0,2018-04-17 16:45:42.000,2024-10-03 15:34:06.000000,2024-10-03 15:34:04,4575.0,265.0,590.0,46.0,4999.0,302.0,1077.0,2294.0,"PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry...",185.0,36,True,2024-09-12 16:21:00.000,0.38.1,59.0,pennylane,conda-forge/pennylane,,,95.0,73297.0,1194.0,1078.0,https://pypi.org/project/pennylane,2024-09-12 16:21:00.000,116.0,69076.0,https://anaconda.org/conda-forge/pennylane,2024-07-09 13:59:12.283,147714.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +119,metrics,Lightning-AI/metrics,distributed-ml,,https://github.com/Lightning-AI/torchmetrics,https://github.com/Lightning-AI/torchmetrics,Apache-2.0,2020-12-22 20:02:42.000,2024-10-03 08:32:19.000000,2024-10-02 11:16:41,1928.0,95.0,395.0,31.0,1665.0,85.0,785.0,2097.0,"Torchmetrics - Machine learning metrics for distributed, scalable PyTorch applications.",251.0,36,True,2024-09-13 20:01:21.000,1.4.2,48.0,metrics,conda-forge/torchmetrics,,['pytorch'],5666.0,42323.0,30598.0,30596.0,https://pypi.org/project/metrics,2018-04-28 10:58:56.000,2.0,5433.0,https://anaconda.org/conda-forge/torchmetrics,2024-09-14 06:48:05.562,1580656.0,2.0,,,,,,,,Lightning-AI/torchmetrics,,,,,,,,,,,,,,,,, +120,arviz,arviz-devs/arviz,interpretability,,https://github.com/arviz-devs/arviz,https://github.com/arviz-devs/arviz,Apache-2.0,2015-07-29 11:51:10.000,2024-09-29 12:11:02.561000,2024-09-28 20:14:16,1567.0,17.0,394.0,48.0,1516.0,179.0,686.0,1594.0,Exploratory analysis of Bayesian models with Python.,162.0,36,True,2024-09-28 20:50:27.000,0.20.0,39.0,arviz,conda-forge/arviz,,,157.0,1753802.0,8000.0,7687.0,https://pypi.org/project/arviz,2024-09-28 20:50:27.000,313.0,1712019.0,https://anaconda.org/conda-forge/arviz,2024-09-29 12:11:02.561,2214395.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +121,Nilearn,nilearn/nilearn,medical-data,,https://github.com/nilearn/nilearn,https://github.com/nilearn/nilearn,BSD-3-Clause,2011-01-09 19:02:23.000,2024-10-03 13:36:07.000000,2024-10-03 13:36:06,10377.0,51.0,576.0,70.0,2503.0,281.0,1823.0,1170.0,Machine learning for NeuroImaging in Python.,244.0,36,True,2024-04-09 09:15:50.000,0.10.4,47.0,nilearn,conda-forge/nilearn,,['sklearn'],236.0,66154.0,3753.0,3459.0,https://pypi.org/project/nilearn,2024-04-09 09:09:58.000,294.0,59894.0,https://anaconda.org/conda-forge/nilearn,2024-04-09 13:18:52.622,294012.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +122,pyproj,pyproj4/pyproj,geospatial-data,,https://github.com/pyproj4/pyproj,https://github.com/pyproj4/pyproj,MIT,2014-12-29 21:38:25.000,2024-10-01 16:10:00.706000,2024-10-01 04:57:51,1580.0,27.0,210.0,34.0,711.0,32.0,588.0,1049.0,Python interface to PROJ (cartographic projections and coordinate transformations library).,66.0,36,True,2024-10-01 05:02:59.000,3.7.0,63.0,pyproj,conda-forge/pyproj,,,,9412901.0,35816.0,34076.0,https://pypi.org/project/pyproj,2024-10-01 05:02:59.000,1740.0,9243189.0,https://anaconda.org/conda-forge/pyproj,2024-10-01 16:10:00.706,8655323.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +123,Face Recognition,ageitgey/face_recognition,image,,https://github.com/ageitgey/face_recognition,https://github.com/ageitgey/face_recognition,MIT,2017-03-03 21:52:39.000,2024-08-21 06:22:36.000000,2022-06-10 09:12:18,238.0,,13413.0,1568.0,232.0,785.0,588.0,53021.0,The worlds simplest facial recognition api for Python and the command line.,54.0,35,False,2020-02-20 14:26:01.000,1.3.0,23.0,face_recognition,conda-forge/face_recognition,,['pytorch'],1387.0,123201.0,3394.0,3278.0,https://pypi.org/project/face_recognition,2020-02-20 14:26:01.000,116.0,122635.0,https://anaconda.org/conda-forge/face_recognition,2023-06-16 19:21:40.721,27027.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +124,Coqui TTS,coqui-ai/TTS,audio,,https://github.com/coqui-ai/TTS,https://github.com/coqui-ai/TTS,MPL-2.0,2020-05-20 15:45:28.000,2024-08-16 12:07:14.000000,2024-02-10 14:20:58,4668.0,,4146.0,287.0,747.0,78.0,1026.0,34275.0,"- a deep learning toolkit for Text-to-Speech, battle-tested in research and production.",166.0,35,True,2023-12-12 15:27:06.000,0.22.0,98.0,tts,conda-forge/tts,,"['pytorch', 'tensorflow']",3322891.0,189447.0,1797.0,1744.0,https://pypi.org/project/tts,2023-12-12 15:27:06.000,53.0,111693.0,https://anaconda.org/conda-forge/tts,2023-06-16 19:27:41.222,17235.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +125,fairseq,facebookresearch/fairseq,nlp,,https://github.com/facebookresearch/fairseq,https://github.com/facebookresearch/fairseq,MIT,2017-08-29 16:26:12.000,2024-09-27 02:13:41.000000,2024-09-27 02:13:41,2325.0,2.0,6351.0,428.0,1344.0,1271.0,3050.0,30238.0,Facebook AI Research Sequence-to-Sequence Toolkit written in Python.,428.0,35,True,2022-06-27 19:32:58.000,0.12.2,16.0,fairseq,conda-forge/fairseq,,['pytorch'],358.0,152549.0,3679.0,3562.0,https://pypi.org/project/fairseq,2022-06-27 19:32:38.000,117.0,150705.0,https://anaconda.org/conda-forge/fairseq,2024-09-22 22:23:30.593,93845.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +126,fastText,facebookresearch/fastText,nlp,,https://github.com/facebookresearch/fastText,https://github.com/facebookresearch/fastText,MIT,2016-07-16 13:38:42.000,2024-06-12 09:44:40.000000,2024-03-13 15:16:33,391.0,,4709.0,846.0,268.0,556.0,611.0,25870.0,Library for fast text representation and classification.,68.0,35,True,2024-06-12 09:44:40.000,0.9.3,37.0,fasttext,conda-forge/fasttext,,,,1774308.0,6883.0,6636.0,https://pypi.org/project/fasttext,2024-06-12 09:44:40.000,247.0,1772224.0,https://anaconda.org/conda-forge/fasttext,2024-05-19 03:10:51.802,102130.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +127,Recommenders,microsoft/recommenders,recommender-systems,,https://github.com/recommenders-team/recommenders,https://github.com/recommenders-team/recommenders,MIT,2018-09-19 10:06:07.000,2024-09-29 03:24:15.000000,2024-09-11 08:45:28,9010.0,64.0,3027.0,273.0,1290.0,162.0,703.0,18892.0,Best Practices on Recommendation Systems.,136.0,35,True,2024-05-01 18:45:29.000,1.2.0,13.0,recommenders,,,,589.0,33317.0,124.0,120.0,https://pypi.org/project/recommenders,2024-05-01 18:45:29.000,4.0,33309.0,,,,1.0,,,,,,,,recommenders-team/recommenders,,,,,,,,,,,,,,,,, +128,Prophet,facebook/prophet,time-series-data,,https://github.com/facebook/prophet,https://github.com/facebook/prophet,MIT,2016-11-16 01:50:08.000,2024-10-02 23:56:38.000000,2024-10-02 23:54:25,816.0,15.0,4515.0,452.0,463.0,418.0,1732.0,18327.0,Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear..,182.0,35,True,2024-10-02 23:56:39.000,1.1.6-patched-pypi,18.0,fbprophet,conda-forge/prophet,,,2823.0,308828.0,112.0,21.0,https://pypi.org/project/fbprophet,2020-09-05 16:12:50.000,91.0,278757.0,https://anaconda.org/conda-forge/prophet,2023-10-20 01:36:39.935,1261699.0,1.0,,,,,,2.0,,,,,,,,,,,,,,,,,,, +129,haystack,deepset-ai/haystack,nlp,,https://github.com/deepset-ai/haystack,https://github.com/deepset-ai/haystack,Apache-2.0,2019-11-14 09:05:28.000,2024-10-03 07:07:34.000000,2024-10-02 13:26:05,3684.0,184.0,1856.0,138.0,4025.0,120.0,3420.0,16984.0,"AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models,..",264.0,35,True,2024-10-03 07:07:57.000,2.6.0,100.0,haystack,,,,,5873.0,543.0,538.0,https://pypi.org/project/haystack,2021-12-15 14:01:39.322,5.0,5873.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +130,ChatterBot,gunthercox/ChatterBot,nlp,,https://github.com/gunthercox/ChatterBot,https://github.com/gunthercox/ChatterBot,BSD-3-Clause,2014-09-28 14:49:00.000,2024-04-24 19:01:00.000000,2021-06-01 10:43:00,1848.0,,4403.0,544.0,717.0,402.0,1283.0,14037.0,"ChatterBot is a machine learning, conversational dialog engine for creating chat bots.",103.0,35,False,2020-08-22 18:42:43.000,1.0.8,86.0,chatterbot,,,,,74956.0,5953.0,5935.0,https://pypi.org/project/chatterbot,2020-08-22 18:40:36.000,18.0,74956.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +131,Annoy,spotify/annoy,nn-search,,https://github.com/spotify/annoy,https://github.com/spotify/annoy,Apache-2.0,2013-04-01 20:29:40.000,2024-09-05 05:37:11.713000,2024-07-29 00:37:39,894.0,4.0,1148.0,318.0,268.0,56.0,343.0,13150.0,Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk.,88.0,35,True,2023-06-14 16:39:02.504,1.17.3,47.0,annoy,conda-forge/python-annoy,,,,1043955.0,4488.0,4287.0,https://pypi.org/project/annoy,2023-06-14 16:39:02.504,201.0,1033213.0,https://anaconda.org/conda-forge/python-annoy,2024-09-05 05:37:11.713,526393.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +132,Datasette,simonw/datasette,others,,https://github.com/simonw/datasette,https://github.com/simonw/datasette,Apache-2.0,2017-10-23 00:39:03.000,2024-09-27 05:15:10.000000,2024-09-09 16:18:47,2658.0,50.0,670.0,101.0,494.0,595.0,1262.0,9444.0,An open source multi-tool for exploring and publishing data.,80.0,35,True,2024-06-21 23:45:38.000,0.64.8,152.0,datasette,conda-forge/datasette,,,68.0,58701.0,1739.0,1328.0,https://pypi.org/project/datasette,2024-09-06 04:05:34.000,411.0,57643.0,https://anaconda.org/conda-forge/datasette,2024-06-24 15:27:37.980,44428.0,2.0,,,,,,,,,,,,,,datasette,,,,,,,,,,, +133,cuDF,rapidsai/cudf,gpu-utilities,,https://github.com/rapidsai/cudf,https://github.com/rapidsai/cudf,Apache-2.0,2017-05-07 03:43:37.000,2024-10-03 15:30:26.000000,2024-10-03 12:53:08,39580.0,545.0,883.0,152.0,10528.0,1052.0,5491.0,8315.0,cuDF - GPU DataFrame Library.,295.0,35,True,2024-09-17 00:25:17.000,24.08.03,56.0,cudf,,,,,3124.0,79.0,57.0,https://pypi.org/project/cudf,2020-06-01 20:07:47.000,22.0,3124.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +134,BentoML,bentoml/BentoML,model-serialisation,,https://github.com/bentoml/BentoML,https://github.com/bentoml/BentoML,Apache-2.0,2019-04-02 01:39:27.000,2024-09-30 11:48:20.000000,2024-09-30 11:48:20,3294.0,138.0,780.0,78.0,3670.0,168.0,914.0,7024.0,"The easiest way to serve AI apps and models - Build reliable Inference APIs, LLM apps, Multi-model chains, RAG..",208.0,35,True,2024-09-25 12:30:24.000,1.3.7,162.0,bentoml,,,,1199.0,106111.0,2097.0,2069.0,https://pypi.org/project/bentoml,2024-09-25 12:30:24.000,28.0,106088.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +135,H2O-3,h2oai/h2o-3,distributed-ml,,https://github.com/h2oai/h2o-3,https://github.com/h2oai/h2o-3,Apache-2.0,2014-03-03 16:08:07.000,2024-10-03 00:36:55.000000,2024-09-25 17:21:24,32519.0,49.0,1994.0,388.0,6876.0,2838.0,6661.0,6877.0,"H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM)..",268.0,35,True,,,155.0,h2o,,,,,290366.0,69.0,21.0,https://pypi.org/project/h2o,2024-08-29 13:55:23.000,48.0,290366.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +136,imbalanced-learn,scikit-learn-contrib/imbalanced-learn,sklearn-utils,,https://github.com/scikit-learn-contrib/imbalanced-learn,https://github.com/scikit-learn-contrib/imbalanced-learn,MIT,2014-08-16 05:08:26.000,2024-05-28 15:38:50.650000,2024-05-28 14:28:56,865.0,,1275.0,142.0,500.0,44.0,562.0,6815.0,A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning.,84.0,35,True,2024-05-28 15:13:16.000,0.12.3,37.0,imbalanced-learn,conda-forge/imbalanced-learn,,['sklearn'],,14690135.0,32949.0,32511.0,https://pypi.org/project/imbalanced-learn,2024-05-28 15:11:10.000,438.0,14678274.0,https://anaconda.org/conda-forge/imbalanced-learn,2024-05-28 15:38:50.650,616795.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +137,mlpack,mlpack/mlpack,ml-frameworks,,https://github.com/mlpack/mlpack,https://github.com/mlpack/mlpack,BSD-3-Clause,2014-12-17 18:16:59.000,2024-10-02 16:51:27.000000,2024-10-02 16:51:26,30379.0,282.0,1593.0,183.0,2185.0,19.0,1612.0,5048.0,"mlpack: a fast, header-only C++ machine learning library.",323.0,35,True,2024-09-20 14:12:49.000,4.5.0,48.0,mlpack,conda-forge/mlpack,,,,10880.0,4.0,,https://pypi.org/project/mlpack,2024-09-20 14:12:49.000,4.0,6103.0,https://anaconda.org/conda-forge/mlpack,2024-09-22 00:54:14.076,248430.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +138,Ignite,pytorch/ignite,ml-frameworks,,https://github.com/pytorch/ignite,https://github.com/pytorch/ignite,BSD-3-Clause,2017-11-23 17:31:21.000,2024-10-03 00:15:54.000000,2024-10-02 14:39:37,1727.0,20.0,611.0,59.0,1874.0,154.0,1266.0,4511.0,High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.,648.0,35,True,2024-08-13 12:47:02.000,0.5.1,1757.0,pytorch-ignite,pytorch/ignite,,['pytorch'],,157872.0,3337.0,3242.0,https://pypi.org/project/pytorch-ignite,2024-10-03 00:15:54.000,95.0,155252.0,https://anaconda.org/pytorch/ignite,2024-08-13 12:46:51.642,199169.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +139,opencv-python,opencv/opencv-python,image,,https://github.com/opencv/opencv-python,https://github.com/opencv/opencv-python,MIT,2016-04-08 13:36:40.000,2024-08-11 15:17:42.000000,2024-07-24 14:28:18,965.0,2.0,833.0,91.0,218.0,124.0,685.0,4466.0,"Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-..",49.0,35,True,2024-06-17 17:55:00.000,84,74.0,opencv-python,,,,,17119674.0,457223.0,446867.0,https://pypi.org/project/opencv-python,2024-06-17 18:28:13.000,10356.0,17119674.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +140,tensorflow-probability,tensorflow/probability,probabilistics,,https://github.com/tensorflow/probability,https://github.com/tensorflow/probability,Apache-2.0,2017-10-23 23:50:54.000,2024-10-03 12:10:38.000000,2024-10-03 12:10:36,12174.0,28.0,1095.0,162.0,466.0,688.0,754.0,4245.0,Probabilistic reasoning and statistical analysis in TensorFlow.,496.0,35,True,2024-03-12 19:43:46.000,0.24.0,52.0,tensorflow-probability,conda-forge/tensorflow-probability,,['tensorflow'],,1575673.0,614.0,1.0,https://pypi.org/project/tensorflow-probability,2024-03-12 19:43:39.000,613.0,1572380.0,https://anaconda.org/conda-forge/tensorflow-probability,2024-05-27 12:58:13.692,144932.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +141,TorchServe,pytorch/serve,model-serialisation,,https://github.com/pytorch/serve,https://github.com/pytorch/serve,Apache-2.0,2019-10-03 03:17:43.000,2024-10-02 19:30:19.000000,2024-09-24 16:41:17,3877.0,57.0,849.0,57.0,1703.0,406.0,1265.0,4199.0,"Serve, optimize and scale PyTorch models in production.",215.0,35,True,2024-09-30 22:46:39.000,0.12.0,26.0,torchserve,pytorch/torchserve,,['pytorch'],6577.0,79714.0,745.0,723.0,https://pypi.org/project/torchserve,2024-09-30 18:57:42.000,22.0,52307.0,https://anaconda.org/pytorch/torchserve,2024-09-30 18:57:10.837,267521.0,2.0,pytorch/torchserve,https://hub.docker.com/r/pytorch/torchserve,2024-09-30 22:07:15.226668,28.0,1339977.0,,,,,,,,,,,,,,,,,,,, +142,plotnine,has2k1/plotnine,data-viz,,https://github.com/has2k1/plotnine,https://github.com/has2k1/plotnine,MIT,2017-04-24 19:00:44.000,2024-09-30 11:22:26.000000,2024-09-30 11:08:58,2406.0,36.0,210.0,63.0,145.0,90.0,594.0,3986.0,A Grammar of Graphics for Python.,111.0,35,True,2024-05-10 08:15:43.000,0.13.6,27.0,plotnine,conda-forge/plotnine,,,,3052846.0,9137.0,8830.0,https://pypi.org/project/plotnine,2024-05-09 20:44:49.000,307.0,3045071.0,https://anaconda.org/conda-forge/plotnine,2024-09-20 10:25:14.080,404319.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +143,torchaudio,pytorch/audio,audio,,https://github.com/pytorch/audio,https://github.com/pytorch/audio,BSD-2-Clause,2017-05-05 00:38:05.000,2024-10-03 11:34:34.000000,2024-09-29 13:33:28,2315.0,4.0,641.0,72.0,2896.0,249.0,726.0,2495.0,"Data manipulation and transformation for audio signal processing, powered by PyTorch.",226.0,35,True,2024-09-04 20:06:34.000,2.4.1,37.0,torchaudio,,,['pytorch'],,5399609.0,1263.0,,https://pypi.org/project/torchaudio,2024-09-04 19:15:37.000,1263.0,5399609.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +144,TFX,tensorflow/tfx,tensorflow-utils,,https://github.com/tensorflow/tfx,https://github.com/tensorflow/tfx,Apache-2.0,2019-02-04 17:14:36.000,2024-09-27 05:48:14.000000,2024-09-27 05:46:58,5879.0,215.0,701.0,88.0,6003.0,245.0,859.0,2106.0,TFX is an end-to-end platform for deploying production ML pipelines.,189.0,35,True,2024-05-13 23:20:24.000,1.15.1,98.0,tfx,,,['tensorflow'],,34483.0,1583.0,1566.0,https://pypi.org/project/tfx,2024-05-13 23:20:24.000,17.0,34483.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +145,scikit-learn-intelex,intel/scikit-learn-intelex,sklearn-utils,,https://github.com/intel/scikit-learn-intelex,https://github.com/intel/scikit-learn-intelex,Apache-2.0,2018-08-07 06:45:41.000,2024-10-03 16:20:24.000000,2024-10-03 07:59:14,1850.0,120.0,173.0,30.0,1798.0,91.0,192.0,1210.0,Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application.,82.0,35,True,2024-09-18 12:49:48.000,2024.7.0,30.0,scikit-learn-intelex,conda-forge/scikit-learn-intelex,,['sklearn'],,88044.0,12179.0,12124.0,https://pypi.org/project/scikit-learn-intelex,2024-09-17 16:36:34.000,55.0,79825.0,https://anaconda.org/conda-forge/scikit-learn-intelex,2024-08-20 09:58:15.356,345210.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +146,NiBabel,nipy/nibabel,medical-data,,https://github.com/nipy/nibabel,https://github.com/nipy/nibabel,MIT,2010-07-22 16:28:30.000,2024-10-02 19:08:11.000000,2024-10-02 19:08:11,6021.0,141.0,257.0,37.0,846.0,134.0,406.0,649.0,Python package to access a cacophony of neuro-imaging file formats.,105.0,35,True,2024-02-27 04:17:30.000,5.2.1,42.0,nibabel,conda-forge/nibabel,,,,1418262.0,22911.0,21753.0,https://pypi.org/project/nibabel,2024-02-27 04:13:17.000,1158.0,1403373.0,https://anaconda.org/conda-forge/nibabel,2024-02-27 14:41:50.570,774229.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +147,ColossalAI,hpcaitech/colossalai,distributed-ml,,https://github.com/hpcaitech/ColossalAI,https://github.com/hpcaitech/ColossalAI,Apache-2.0,2021-10-28 16:19:44.000,2024-09-30 17:48:16.000000,2024-09-26 04:29:27,3701.0,228.0,4311.0,383.0,4181.0,415.0,1263.0,38690.0,"Making large AI models cheaper, faster and more accessible.",193.0,34,True,2024-09-19 02:53:35.000,0.4.4,44.0,,,,,,,418.0,418.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +148,detectron2,facebookresearch/detectron2,image,,https://github.com/facebookresearch/detectron2,https://github.com/facebookresearch/detectron2,Apache-2.0,2019-09-05 21:30:20.000,2024-09-09 22:31:14.000000,2024-09-09 22:27:36,1530.0,5.0,7424.0,386.0,685.0,524.0,3069.0,30134.0,"Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.",272.0,34,True,2021-11-15 22:08:26.000,0.6,10.0,detectron2,conda-forge/detectron2,,['pytorch'],,8367.0,2045.0,2032.0,https://pypi.org/project/detectron2,2020-02-06 00:35:57.000,13.0,,https://anaconda.org/conda-forge/detectron2,2024-08-26 11:04:11.128,426761.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +149,DeepSpeech,mozilla/DeepSpeech,audio,,https://github.com/mozilla/DeepSpeech,https://github.com/mozilla/DeepSpeech,MPL-2.0,2016-06-02 15:04:53.000,2024-09-03 21:17:43.000000,2021-11-17 17:52:52,3466.0,,3947.0,670.0,1678.0,151.0,1987.0,25153.0,"DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices..",163.0,34,False,2020-12-10 17:22:09.000,0.9.3,100.0,deepspeech,conda-forge/deepspeech,,['tensorflow'],1193103.0,29937.0,478.0,454.0,https://pypi.org/project/deepspeech,2020-12-19 10:05:12.000,24.0,13514.0,https://anaconda.org/conda-forge/deepspeech,2023-06-16 19:27:01.157,3157.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +150,OCRmyPDF,ocrmypdf/OCRmyPDF,ocr,,https://github.com/ocrmypdf/OCRmyPDF,https://github.com/ocrmypdf/OCRmyPDF,MPL-2.0,2013-12-20 08:26:28.000,2024-09-15 23:43:40.000000,2024-09-15 23:43:35,3868.0,27.0,990.0,135.0,180.0,113.0,1063.0,13771.0,"OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched.",100.0,34,True,2024-08-31 09:35:44.000,16.5.0,244.0,ocrmypdf,conda-forge/ocrmypdf,,,5208.0,128570.0,1026.0,992.0,https://pypi.org/project/ocrmypdf,2024-08-31 09:35:10.000,34.0,126423.0,https://anaconda.org/conda-forge/ocrmypdf,2023-06-16 19:24:58.228,78127.0,2.0,,,,,,,,,,,,,,ocrmypdf,ocrmypdf,,,,,,,,,, +151,carla,carla-simulator/carla,others,,https://github.com/carla-simulator/carla,https://github.com/carla-simulator/carla,MIT,2017-10-24 09:06:23.000,2024-10-03 13:41:20.000000,2024-09-27 08:19:41,6257.0,9.0,3561.0,244.0,1711.0,1079.0,4451.0,11179.0,Open-source simulator for autonomous driving research.,189.0,34,True,2023-11-14 22:51:02.000,0.9.15,26.0,carla,,,,,17408.0,820.0,809.0,https://pypi.org/project/carla,2023-11-14 22:51:02.000,11.0,17408.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +152,Pydub,jiaaro/pydub,audio,,https://github.com/jiaaro/pydub,https://github.com/jiaaro/pydub,MIT,2011-05-02 18:42:38.000,2024-07-25 08:47:51.000000,2022-12-08 17:49:19,746.0,,1024.0,133.0,233.0,360.0,274.0,8823.0,Manipulate audio with a simple and easy high level interface.,95.0,34,False,2021-03-10 02:10:41.000,0.25.1,68.0,pydub,conda-forge/pydub,,,,5873403.0,70300.0,68942.0,https://pypi.org/project/pydub,2021-03-10 02:09:53.000,1358.0,5871732.0,https://anaconda.org/conda-forge/pydub,2023-06-16 16:12:25.533,116985.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +153,Pyro,pyro-ppl/pyro,probabilistics,,https://github.com/pyro-ppl/pyro,https://github.com/pyro-ppl/pyro,Apache-2.0,2017-06-16 05:03:47.000,2024-09-28 02:01:11.000000,2024-09-28 02:01:11,2493.0,17.0,983.0,201.0,2325.0,258.0,846.0,8508.0,Deep universal probabilistic programming with Python and PyTorch.,157.0,34,True,2024-06-02 00:37:37.000,1.9.1,36.0,pyro-ppl,conda-forge/pyro-ppl,,['pytorch'],,327958.0,186.0,,https://pypi.org/project/pyro-ppl,2024-06-02 00:37:37.000,186.0,323402.0,https://anaconda.org/conda-forge/pyro-ppl,2024-06-03 00:37:06.159,195923.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +154,Vowpal Wabbit,VowpalWabbit/vowpal_wabbit,ml-frameworks,,https://github.com/VowpalWabbit/vowpal_wabbit,https://github.com/VowpalWabbit/vowpal_wabbit,BSD-3-Clause,2009-07-31 19:36:58.000,2024-09-05 15:50:55.744000,2024-08-01 18:55:53,10421.0,4.0,1926.0,352.0,3428.0,131.0,1138.0,8470.0,Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as..,338.0,34,True,2024-08-08 17:57:21.000,9.10.0,30.0,vowpalwabbit,conda-forge/vowpalwabbit,,,,55245.0,40.0,,https://pypi.org/project/vowpalwabbit,2024-08-08 17:57:21.000,40.0,50583.0,https://anaconda.org/conda-forge/vowpalwabbit,2024-09-05 15:50:55.744,223793.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +155,Metaflow,Netflix/metaflow,ml-experiments,,https://github.com/Netflix/metaflow,https://github.com/Netflix/metaflow,Apache-2.0,2019-09-17 17:48:25.000,2024-10-03 13:15:36.000000,2024-10-01 23:15:01,1063.0,98.0,762.0,288.0,1411.0,324.0,417.0,8087.0,"Open Source Platform for developing, scaling and deploying serious ML, AI, and data science systems.",95.0,34,True,2024-10-01 14:32:48.000,2.12.23,147.0,metaflow,conda-forge/metaflow,,,,924362.0,770.0,725.0,https://pypi.org/project/metaflow,2024-10-01 14:32:48.000,45.0,920149.0,https://anaconda.org/conda-forge/metaflow,2024-10-01 20:38:59.400,214907.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +156,Bayesian Optimization,fmfn/BayesianOptimization,hyperopt,,https://github.com/bayesian-optimization/BayesianOptimization,https://github.com/bayesian-optimization/BayesianOptimization,MIT,2014-06-06 08:18:56.000,2024-10-01 17:08:05.000000,2024-10-01 17:08:05,385.0,19.0,1525.0,129.0,163.0,8.0,355.0,7824.0,A Python implementation of global optimization with gaussian processes.,47.0,34,True,2024-07-10 12:02:35.000,1.5.1,16.0,bayesian-optimization,,,,160.0,465833.0,3103.0,2959.0,https://pypi.org/project/bayesian-optimization,2024-07-10 12:02:35.000,144.0,465832.0,,,,1.0,,,,,,,,bayesian-optimization/BayesianOptimization,,,,,,,,,,,,,,,,, +157,AutoGluon,autogluon/autogluon,hyperopt,,https://github.com/autogluon/autogluon,https://github.com/autogluon/autogluon,Apache-2.0,2019-07-29 18:51:24.000,2024-10-03 09:04:49.000000,2024-10-02 22:33:51,2321.0,65.0,909.0,100.0,2602.0,363.0,1083.0,7781.0,Fast and Accurate ML in 3 Lines of Code.,125.0,34,True,2024-06-14 20:30:21.000,1.1.1,1624.0,autogluon,conda-forge/autogluon,https://auto.gluon.ai,"['pytorch', 'sklearn']",,162789.0,860.0,833.0,https://pypi.org/project/autogluon,2024-10-03 09:04:49.000,27.0,161714.0,https://anaconda.org/conda-forge/autogluon,2024-06-18 07:07:41.213,19136.0,1.0,autogluon/autogluon,https://hub.docker.com/r/autogluon/autogluon,2024-03-07 07:21:23.461952,17.0,10343.0,,,,,,,,,,,,,,,,,,,, +158,stanza,stanfordnlp/stanza,nlp,,https://github.com/stanfordnlp/stanza,https://github.com/stanfordnlp/stanza,Apache-2.0,2017-09-26 08:00:56.000,2024-09-22 18:07:58.000000,2024-09-12 23:27:08,4682.0,109.0,885.0,140.0,498.0,92.0,803.0,7249.0,"Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages.",68.0,34,True,2024-09-12 23:17:21.000,1.9.2,28.0,stanza,stanfordnlp/stanza,,,,305995.0,3286.0,3111.0,https://pypi.org/project/stanza,2024-09-12 23:16:02.000,175.0,305851.0,https://anaconda.org/stanfordnlp/stanza,2023-06-16 19:18:21.932,7924.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +159,PML,KevinMusgrave/pytorch-metric-learning,pytorch-utils,,https://github.com/KevinMusgrave/pytorch-metric-learning,https://github.com/KevinMusgrave/pytorch-metric-learning,MIT,2019-10-23 17:20:35.000,2024-09-11 20:27:12.000000,2024-09-11 20:27:12,1230.0,15.0,657.0,63.0,137.0,61.0,445.0,5961.0,"The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.",42.0,34,True,2024-07-25 01:34:14.000,2.6.1,212.0,pytorch-metric-learning,metric-learning/pytorch-metric-learning,,['pytorch'],,796091.0,1929.0,1879.0,https://pypi.org/project/pytorch-metric-learning,2024-07-25 01:34:14.000,50.0,795883.0,https://anaconda.org/metric-learning/pytorch-metric-learning,2023-06-16 19:17:36.446,11875.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +160,Chainer,chainer/chainer,ml-frameworks,,https://github.com/chainer/chainer,https://github.com/chainer/chainer,MIT,2015-06-05 05:50:37.000,2023-08-28 17:18:20.000000,2022-10-17 02:18:00,30611.0,,1368.0,284.0,6588.0,12.0,2032.0,5887.0,A flexible framework of neural networks for deep learning.,326.0,34,False,2022-06-29 08:19:03.000,7.8.1.post1,111.0,chainer,conda-forge/chainer,,,,191011.0,3371.0,3313.0,https://pypi.org/project/chainer,2022-01-05 05:33:36.000,58.0,190664.0,https://anaconda.org/conda-forge/chainer,2023-06-16 19:17:58.452,19480.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +161,ClearML,allegroai/clearml,ml-experiments,,https://github.com/allegroai/clearml,https://github.com/allegroai/clearml,Apache-2.0,2019-06-10 08:18:32.000,2024-10-01 07:26:30.000000,2024-09-29 11:04:41,2428.0,44.0,649.0,95.0,273.0,489.0,563.0,5608.0,"ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline,..",101.0,34,True,2024-08-27 19:48:22.000,1.16.4,172.0,clearml,,,,2891.0,359060.0,1353.0,1313.0,https://pypi.org/project/clearml,2024-10-01 07:26:30.000,40.0,358542.0,,,,2.0,allegroai/trains,https://hub.docker.com/r/allegroai/trains,2020-10-05 10:16:46.865671,,30296.0,,,,,,,,,,,,,,,,,,,, +162,DeepChem,deepchem/deepchem,others,,https://github.com/deepchem/deepchem,https://github.com/deepchem/deepchem,MIT,2015-09-24 23:20:28.000,2024-09-20 21:09:41.000000,2024-09-20 16:37:57,10535.0,40.0,1662.0,143.0,2432.0,633.0,1237.0,5422.0,"Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology.",247.0,34,True,2024-04-03 16:21:23.000,2.8.0,923.0,deepchem,conda-forge/deepchem,,['tensorflow'],,45786.0,447.0,434.0,https://pypi.org/project/deepchem,2024-09-20 21:09:41.000,13.0,43672.0,https://anaconda.org/conda-forge/deepchem,2024-04-05 16:46:45.105,109963.0,2.0,,,,,,-2.0,,,,,,,,,,,,,,,,,,, +163,ART,Trusted-AI/adversarial-robustness-toolbox,adversarial,,https://github.com/Trusted-AI/adversarial-robustness-toolbox,https://github.com/Trusted-AI/adversarial-robustness-toolbox,MIT,2018-03-15 14:40:43.000,2024-10-03 01:54:09.200000,2024-10-02 21:15:59,12401.0,56.0,1156.0,98.0,1384.0,140.0,758.0,4787.0,"Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction,..",138.0,34,True,2024-10-02 21:30:21.000,1.18.2,61.0,adversarial-robustness-toolbox,conda-forge/adversarial-robustness-toolbox,,,,32501.0,612.0,592.0,https://pypi.org/project/adversarial-robustness-toolbox,2024-10-02 21:24:21.000,20.0,31540.0,https://anaconda.org/conda-forge/adversarial-robustness-toolbox,2024-10-03 01:54:09.200,49012.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +164,Core ML Tools,apple/coremltools,model-serialisation,,https://github.com/apple/coremltools,https://github.com/apple/coremltools,BSD-3-Clause,2017-06-30 07:39:02.000,2024-09-23 18:46:17.000000,2024-09-23 18:46:01,1182.0,22.0,627.0,125.0,928.0,350.0,1092.0,4355.0,"Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.",176.0,34,True,2024-09-16 20:50:54.000,8.0,50.0,coremltools,conda-forge/coremltools,,,11705.0,371416.0,4234.0,4153.0,https://pypi.org/project/coremltools,2024-09-16 21:06:12.000,81.0,369812.0,https://anaconda.org/conda-forge/coremltools,2023-06-16 19:23:14.592,70429.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +165,StatsForecast,Nixtla/statsforecast,time-series-data,,https://github.com/Nixtla/statsforecast,https://github.com/Nixtla/statsforecast,Apache-2.0,2021-11-24 02:19:14.000,2024-09-30 22:06:15.000000,2024-09-30 22:03:47,1327.0,30.0,272.0,39.0,478.0,100.0,239.0,3889.0,Lightning fast forecasting with statistical and econometric models.,45.0,34,True,2024-09-19 21:41:21.000,1.7.8,37.0,statsforecast,conda-forge/statsforecast,,,,711150.0,1198.0,1141.0,https://pypi.org/project/statsforecast,2024-09-19 21:39:13.000,57.0,708047.0,https://anaconda.org/conda-forge/statsforecast,2024-09-23 21:39:04.210,96212.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +166,rubrix,recognai/rubrix,nlp,,https://github.com/argilla-io/argilla,https://github.com/argilla-io/argilla,Apache-2.0,2021-04-28 14:37:42.000,2024-10-03 15:48:12.000000,2024-10-03 14:44:59,3434.0,250.0,356.0,29.0,3256.0,130.0,2002.0,3838.0,Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets.,96.0,34,True,2024-10-03 15:11:46.000,2.3.0,100.0,rubrix,conda-forge/rubrix,,,,2108.0,2724.0,2724.0,https://pypi.org/project/rubrix,2022-10-24 18:22:00.951,,1043.0,https://anaconda.org/conda-forge/rubrix,2023-06-16 19:28:09.653,36215.0,2.0,,,,,,,,argilla-io/argilla,,,,,,,,,,,,,,,,, +167,VisPy,vispy/vispy,data-viz,,https://github.com/vispy/vispy,https://github.com/vispy/vispy,BSD-3-Clause,2013-03-21 18:43:22.000,2024-09-23 13:51:37.000000,2024-09-23 13:51:35,7399.0,9.0,618.0,115.0,1185.0,353.0,1115.0,3304.0,High-performance interactive 2D/3D data visualization library.,198.0,34,True,2024-06-17 12:39:47.000,0.14.3,39.0,vispy,conda-forge/vispy,,['jupyter'],,431676.0,1868.0,1692.0,https://pypi.org/project/vispy,2024-06-17 12:32:22.000,173.0,419322.0,https://anaconda.org/conda-forge/vispy,2024-09-04 12:47:04.775,605230.0,2.0,,,,,,,,,vispy,https://www.npmjs.com/package/vispy,2020-03-15 14:39:41.516,3.0,3.0,,,,,,,,,,,, +168,BoTorch,pytorch/botorch,hyperopt,,https://github.com/pytorch/botorch,https://github.com/pytorch/botorch,MIT,2018-07-30 23:59:57.000,2024-10-02 21:23:58.000000,2024-10-02 21:20:33,2010.0,95.0,390.0,51.0,1754.0,65.0,466.0,3069.0,Bayesian optimization in PyTorch.,131.0,34,True,2024-09-17 16:43:01.000,0.12.0,47.0,botorch,conda-forge/botorch,,['pytorch'],,199378.0,1250.0,1166.0,https://pypi.org/project/botorch,2024-09-17 16:43:01.000,84.0,196882.0,https://anaconda.org/conda-forge/botorch,2024-09-20 23:53:13.019,124808.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +169,optimum,huggingface/optimum,gpu-utilities,,https://github.com/huggingface/optimum,https://github.com/huggingface/optimum,Apache-2.0,2021-07-20 12:36:40.000,2024-10-03 15:15:05.000000,2024-09-30 16:51:01,1100.0,36.0,437.0,55.0,1280.0,417.0,418.0,2497.0,Accelerate training and inference of Transformers and Diffusers with easy to use hardware optimization tools.,126.0,34,True,2024-09-10 21:37:01.000,1.22.0,70.0,optimum,conda-forge/optimum,,,,938253.0,3645.0,3487.0,https://pypi.org/project/optimum,2024-09-10 16:18:53.000,158.0,937458.0,https://anaconda.org/conda-forge/optimum,2024-05-29 19:43:21.254,23858.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +170,snakemake,snakemake/snakemake,ml-experiments,,https://github.com/snakemake/snakemake,https://github.com/snakemake/snakemake,MIT,2015-10-17 15:43:54.867,2024-09-25 13:49:09.996000,2024-09-25 11:39:14,5295.0,83.0,545.0,19.0,1391.0,1120.0,684.0,2246.0,"This is the development home of the workflow management system Snakemake. For general information, see.",342.0,34,True,2024-09-25 11:40:47.000,8.20.5,358.0,snakemake,bioconda/snakemake,,,,123425.0,2322.0,2093.0,https://pypi.org/project/snakemake,2024-09-25 11:40:47.000,229.0,112509.0,https://anaconda.org/bioconda/snakemake,2024-09-25 13:49:09.996,1178965.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +171,jellyfish,jamesturk/jellyfish,nlp,,https://github.com/jamesturk/jellyfish,https://github.com/jamesturk/jellyfish,MIT,2010-07-09 20:41:11.000,2024-09-07 01:20:44.000000,2024-09-07 01:20:42,565.0,12.0,157.0,42.0,80.0,7.0,130.0,2049.0,a python library for doing approximate and phonetic matching of strings.,32.0,34,True,2024-07-28 08:19:05.000,1.1.0,44.0,jellyfish,conda-forge/jellyfish,,,,5659230.0,10927.0,10659.0,https://pypi.org/project/jellyfish,2024-07-28 08:19:05.000,268.0,5639564.0,https://anaconda.org/conda-forge/jellyfish,2024-09-06 22:00:00.405,1022660.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +172,Graphviz,xflr6/graphviz,data-viz,,https://github.com/xflr6/graphviz,https://github.com/xflr6/graphviz,MIT,2014-01-12 17:49:29.000,2024-05-13 18:30:44.000000,2024-05-13 18:28:50,1241.0,,209.0,32.0,47.0,13.0,168.0,1625.0,Simple Python interface for Graphviz.,23.0,34,True,2024-03-21 07:50:43.000,0.20.3,58.0,graphviz,anaconda/python-graphviz,,,,16283829.0,76297.0,73678.0,https://pypi.org/project/graphviz,2024-03-21 07:50:43.000,2619.0,16283282.0,https://anaconda.org/anaconda/python-graphviz,2024-04-08 21:04:04.101,49308.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +173,Wand,emcconville/wand,image,,https://github.com/emcconville/wand,https://github.com/emcconville/wand,MIT,2011-09-30 21:36:38.000,2024-10-01 11:37:22.000000,2024-10-01 11:37:17,1873.0,8.0,200.0,33.0,214.0,26.0,402.0,1399.0,The ctypes-based simple ImageMagick binding for Python.,106.0,34,True,2023-11-04 01:41:17.000,0.6.13,56.0,wand,conda-forge/wand,,,50161.0,922520.0,19953.0,19696.0,https://pypi.org/project/wand,2023-11-03 23:18:50.000,257.0,920595.0,https://anaconda.org/conda-forge/wand,2023-06-16 16:16:46.218,75608.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +174,igraph,igraph/python-igraph,graph,,https://github.com/igraph/python-igraph,https://github.com/igraph/python-igraph,GPL-2.0,2015-01-08 23:55:16.000,2024-09-27 00:45:23.000000,2024-09-27 00:45:22,2904.0,41.0,247.0,35.0,226.0,48.0,510.0,1290.0,Python interface for igraph.,75.0,34,False,2024-07-08 23:38:30.000,0.11.6,42.0,python-igraph,conda-forge/igraph,,,564849.0,807108.0,4530.0,4133.0,https://pypi.org/project/python-igraph,2024-07-08 23:38:30.000,397.0,788964.0,https://anaconda.org/conda-forge/igraph,2024-06-28 12:12:37.634,606755.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +175,TensorFlow Text,tensorflow/text,nlp,,https://github.com/tensorflow/text,https://github.com/tensorflow/text,Apache-2.0,2019-05-29 22:10:03.000,2024-09-30 23:37:10.000000,2024-09-05 06:54:23,889.0,6.0,337.0,42.0,1054.0,191.0,170.0,1220.0,Making text a first-class citizen in TensorFlow.,116.0,34,True,2024-07-15 22:42:38.000,2.17.0,72.0,tensorflow-text,,,['tensorflow'],,7210734.0,7614.0,7398.0,https://pypi.org/project/tensorflow-text,2024-09-30 23:25:49.000,216.0,7210734.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +176,tinygrad,geohot/tinygrad,pytorch-utils,,https://github.com/tinygrad/tinygrad,https://github.com/tinygrad/tinygrad,MIT,2020-10-18 16:23:12.000,2024-10-03 15:04:58.000000,2024-10-03 12:40:04,6207.0,1261.0,2857.0,274.0,6051.0,103.0,627.0,26409.0,You like pytorch? You like micrograd? You love tinygrad!.,340.0,33,True,2024-08-13 23:19:48.000,0.9.2,8.0,,,,['pytorch'],,,107.0,107.0,,,,,,,,1.0,,,,,,,,tinygrad/tinygrad,,,,,,,,,,,,,,,,, +177,MindsDB,mindsdb/mindsdb,ml-frameworks,,https://github.com/mindsdb/mindsdb,https://github.com/mindsdb/mindsdb,libpng-2.0,2018-08-02 17:56:45.000,2024-10-03 10:47:48.000000,2024-10-03 08:34:49,18671.0,203.0,4798.0,400.0,5386.0,172.0,3798.0,26396.0,The platform for building AI from enterprise data.,842.0,33,False,2024-10-01 11:01:18.000,24.10.1.0,490.0,mindsdb,,,['pytorch'],,25656.0,,,https://pypi.org/project/mindsdb,2024-10-01 11:02:27.000,,25656.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +178,qdrant,qdrant/qdrant,nlp,,https://github.com/qdrant/qdrant,https://github.com/qdrant/qdrant,Apache-2.0,2020-05-30 21:37:01.000,2024-10-03 14:10:16.000000,2024-09-23 15:10:35,3322.0,349.0,1350.0,122.0,3655.0,301.0,994.0,20012.0,"Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud..",122.0,33,True,2024-09-23 18:20:31.000,1.11.5,83.0,,,,,181356.0,4318.0,114.0,114.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +179,tensor2tensor,tensorflow/tensor2tensor,tensorflow-utils,,https://github.com/tensorflow/tensor2tensor,https://github.com/tensorflow/tensor2tensor,Apache-2.0,2017-06-15 16:57:39.000,2023-06-02 18:55:09.000000,2023-04-01 10:19:28,4379.0,,3461.0,465.0,671.0,590.0,672.0,15376.0,Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.,244.0,33,False,2020-06-17 16:31:34.798,1.15.7,79.0,tensor2tensor,,,['tensorflow'],,8566.0,1522.0,1508.0,https://pypi.org/project/tensor2tensor,2020-06-17 16:31:34.798,14.0,8566.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +180,Ludwig,ludwig-ai/ludwig,ml-frameworks,,https://github.com/ludwig-ai/ludwig,https://github.com/ludwig-ai/ludwig,Apache-2.0,2018-12-27 23:58:12.000,2024-09-25 09:12:22.000000,2024-08-21 07:05:41,3857.0,4.0,1185.0,194.0,2866.0,361.0,766.0,11111.0,"Low-code framework for building custom LLMs, neural networks, and other AI models.",157.0,33,True,2024-07-30 00:29:49.000,0.10.4,56.0,ludwig,,,['tensorflow'],,4156.0,277.0,271.0,https://pypi.org/project/ludwig,2024-07-30 00:29:49.000,6.0,4156.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +181,PyTorch3D,facebookresearch/pytorch3d,image,,https://github.com/facebookresearch/pytorch3d,https://github.com/facebookresearch/pytorch3d,,2019-10-25 02:23:45.000,2024-10-02 18:13:14.000000,2024-10-02 18:09:29,1177.0,13.0,1269.0,148.0,177.0,265.0,1341.0,8710.0,PyTorch3D is FAIRs library of reusable components for deep learning with 3D data.,149.0,33,False,2024-09-13 14:37:23.000,V0.7.8,19.0,pytorch3d,pytorch3d/pytorch3d,,['pytorch'],,13847.0,984.0,970.0,https://pypi.org/project/pytorch3d,2022-04-28 15:53:26.000,14.0,9599.0,https://anaconda.org/pytorch3d/pytorch3d,2024-09-13 14:58:15.228,250637.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +182,PaddleSeg,PaddlePaddle/PaddleSeg,image,,https://github.com/PaddlePaddle/PaddleSeg,https://github.com/PaddlePaddle/PaddleSeg,Apache-2.0,2019-08-26 02:32:22.000,2024-10-01 08:21:26.000000,2024-10-01 08:21:26,2935.0,15.0,1681.0,92.0,1683.0,236.0,1883.0,8600.0,"Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in..",131.0,33,True,2023-10-18 03:54:18.000,2.9.0,19.0,paddleseg,,,['paddle'],,1579.0,1288.0,1281.0,https://pypi.org/project/paddleseg,2022-11-30 11:24:02.578,7.0,1579.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +183,Perspective,finos/perspective,data-viz,,https://github.com/finos/perspective,https://github.com/finos/perspective,Apache-2.0,2017-11-02 16:27:54.000,2024-10-01 05:08:11.000000,2024-09-23 04:48:53,6095.0,94.0,1169.0,122.0,1718.0,101.0,705.0,8375.0,"A data visualization and analytics component, especially well-suited for large and/or streaming datasets.",94.0,33,True,2024-09-23 15:44:54.000,3.1.0,131.0,perspective-python,conda-forge/perspective,,['jupyter'],4606.0,45509.0,176.0,144.0,https://pypi.org/project/perspective-python,2024-09-23 15:44:54.000,26.0,17829.0,https://anaconda.org/conda-forge/perspective,2024-09-21 14:46:30.468,1202093.0,2.0,,,,,,,,,@finos/perspective-jupyterlab,https://www.npmjs.com/package/@finos/perspective-jupyterlab,2024-09-23 15:43:29.269,6.0,4256.0,,,,,,,,,,,, +184,SpeechRecognition,Uberi/speech_recognition,audio,,https://github.com/Uberi/speech_recognition,https://github.com/Uberi/speech_recognition,BSD-3-Clause,2014-04-23 04:53:54.000,2024-08-13 19:06:58.000000,2024-08-13 19:06:55,544.0,1.0,2389.0,282.0,159.0,325.0,319.0,8356.0,"Speech recognition module for Python, supporting several engines and APIs, online and offline.",51.0,33,True,2024-05-05 04:42:09.000,3.10.4,59.0,SpeechRecognition,conda-forge/speechrecognition,,,,1115897.0,599.0,21.0,https://pypi.org/project/SpeechRecognition,2024-05-05 04:36:10.000,578.0,1111834.0,https://anaconda.org/conda-forge/speechrecognition,2024-05-06 02:00:59.322,203187.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +185,tensorboardX,lanpa/tensorboardX,ml-experiments,,https://github.com/lanpa/tensorboardX,https://github.com/lanpa/tensorboardX,MIT,2017-06-13 13:54:19.000,2024-09-03 22:18:55.000000,2023-11-12 14:28:03,528.0,,865.0,84.0,276.0,81.0,376.0,7859.0,"tensorboard for pytorch (and chainer, mxnet, numpy, ...).",82.0,33,True,2023-07-30 14:05:26.000,2.6.2,24.0,tensorboardX,conda-forge/tensorboardx,,,447.0,3254683.0,49286.0,48661.0,https://pypi.org/project/tensorboardX,2023-08-20 13:38:18.000,625.0,3230835.0,https://anaconda.org/conda-forge/tensorboardx,2023-08-20 16:29:43.490,1216030.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +186,UMAP,lmcinnes/umap,data-viz,,https://github.com/lmcinnes/umap,https://github.com/lmcinnes/umap,BSD-3-Clause,2017-07-02 01:11:17.000,2024-08-18 00:48:19.000000,2024-08-18 00:48:18,1815.0,14.0,796.0,127.0,285.0,473.0,337.0,7391.0,Uniform Manifold Approximation and Projection.,134.0,33,True,2024-04-03 16:53:16.000,0.5.6,40.0,umap-learn,conda-forge/umap-learn,,,,1362052.0,959.0,1.0,https://pypi.org/project/umap-learn,2024-04-03 16:53:16.000,958.0,1311481.0,https://anaconda.org/conda-forge/umap-learn,2024-08-14 17:32:09.484,2629696.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +187,featuretools,alteryx/featuretools,hyperopt,,https://github.com/alteryx/featuretools,https://github.com/alteryx/featuretools,BSD-3-Clause,2017-09-08 22:15:17.000,2024-09-20 14:04:22.000000,2024-06-21 13:43:40,1379.0,,874.0,158.0,1730.0,150.0,865.0,7224.0,An open source python library for automated feature engineering.,73.0,33,True,2024-05-14 18:59:58.000,1.31.0,106.0,featuretools,conda-forge/featuretools,,,,81452.0,1850.0,1776.0,https://pypi.org/project/featuretools,2024-05-14 18:59:58.000,74.0,77463.0,https://anaconda.org/conda-forge/featuretools,2024-05-15 15:26:44.535,207444.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +188,Hyperopt,hyperopt/hyperopt,hyperopt,,https://github.com/hyperopt/hyperopt,https://github.com/hyperopt/hyperopt,BSD-3-Clause,2011-09-06 22:24:59.000,2024-09-30 22:59:48.000000,2024-09-25 17:28:01,1221.0,1.0,1051.0,121.0,277.0,143.0,509.0,7214.0,Distributed Asynchronous Hyperparameter Optimization in Python.,104.0,33,True,2021-11-17 10:07:00.808,0.2.7,13.0,hyperopt,conda-forge/hyperopt,,,,2367258.0,17529.0,17076.0,https://pypi.org/project/hyperopt,2021-11-17 10:07:00.808,453.0,2356433.0,https://anaconda.org/conda-forge/hyperopt,2023-06-16 16:14:11.076,790232.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +189,librosa,librosa/librosa,audio,,https://github.com/librosa/librosa,https://github.com/librosa/librosa,ISC,2012-10-20 14:21:01.000,2024-10-02 15:38:03.000000,2024-09-09 18:22:58,3283.0,8.0,960.0,136.0,665.0,56.0,1158.0,7054.0,Python library for audio and music analysis.,123.0,33,True,2024-05-14 15:48:50.000,0.10.2.post1,43.0,librosa,conda-forge/librosa,,,,2889646.0,1358.0,,https://pypi.org/project/librosa,2024-05-14 15:49:38.000,1358.0,2873687.0,https://anaconda.org/conda-forge/librosa,2024-05-15 16:59:32.016,813916.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +190,BigDL,intel-analytics/BigDL,distributed-ml,,https://github.com/intel-analytics/ipex-llm,https://github.com/intel-analytics/ipex-llm,Apache-2.0,2016-08-29 07:59:50.000,2024-09-30 00:58:13.000000,2024-09-29 10:08:49,3493.0,377.0,1250.0,250.0,9576.0,986.0,1587.0,6550.0,"Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, Baichuan, Mixtral, Gemma, Phi, MiniCPM,..",108.0,33,True,2024-08-22 09:06:57.000,2.1.0,869.0,bigdl,,,,638.0,24268.0,7.0,,https://pypi.org/project/bigdl,2024-03-24 14:04:20.000,2.0,24261.0,,,,2.0,,,,,,,,intel-analytics/ipex-llm,,,,,,,,,,com.intel.analytics.bigdl:bigdl-SPARK_2.4,https://search.maven.org/artifact/com.intel.analytics.bigdl/bigdl-SPARK_2.4,2021-04-20 01:33:14,5.0,,,, +191,InterpretML,interpretml/interpret,interpretability,,https://github.com/interpretml/interpret,https://github.com/interpretml/interpret,MIT,2019-05-03 05:47:52.000,2024-09-30 09:44:19.000000,2024-09-30 06:17:56,3404.0,172.0,725.0,144.0,124.0,107.0,342.0,6237.0,Fit interpretable models. Explain blackbox machine learning.,46.0,33,True,2024-09-28 21:45:37.000,0.6.4,52.0,interpret,,,['jupyter'],,95103.0,802.0,753.0,https://pypi.org/project/interpret,2024-09-28 19:03:14.000,49.0,95103.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +192,DEAP,deap/deap,distributed-ml,,https://github.com/DEAP/deap,https://github.com/DEAP/deap,LGPL-3.0,2014-05-21 20:07:39.000,2024-09-03 13:46:04.210000,2024-05-07 13:49:33,2334.0,,1118.0,191.0,238.0,277.0,285.0,5791.0,Distributed Evolutionary Algorithms in Python.,88.0,33,False,2023-07-21 10:51:54.000,1.4.1,27.0,deap,conda-forge/deap,,,,348332.0,5525.0,5273.0,https://pypi.org/project/deap,2023-07-21 10:51:54.000,252.0,339144.0,https://anaconda.org/conda-forge/deap,2024-09-03 13:46:04.210,441067.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +193,Captum,pytorch/captum,interpretability,,https://github.com/pytorch/captum,https://github.com/pytorch/captum,BSD-3-Clause,2019-08-27 15:34:41.000,2024-09-26 22:44:27.000000,2024-09-26 22:36:43,1136.0,34.0,483.0,267.0,818.0,204.0,338.0,4846.0,Model interpretability and understanding for PyTorch.,119.0,33,True,2023-12-05 09:21:02.000,0.7.0,9.0,captum,conda-forge/captum,,['pytorch'],,261700.0,2404.0,2404.0,https://pypi.org/project/captum,,,259638.0,https://anaconda.org/conda-forge/captum,2023-06-16 19:28:19.191,70129.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +194,geopy,geopy/geopy,geospatial-data,,https://github.com/geopy/geopy,https://github.com/geopy/geopy,MIT,2010-03-04 22:05:28.000,2024-08-14 15:31:25.000000,2023-11-23 21:41:49,1136.0,,644.0,89.0,271.0,41.0,253.0,4440.0,Geocoding library for Python.,133.0,33,True,2023-11-23 21:50:14.000,2.4.1,61.0,geopy,conda-forge/geopy,,,83.0,6220354.0,894.0,,https://pypi.org/project/geopy,2023-11-23 21:49:30.000,894.0,6192327.0,https://anaconda.org/conda-forge/geopy,2024-02-28 17:12:19.096,1457447.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +195,ftfy,rspeer/python-ftfy,nlp,,https://github.com/rspeer/python-ftfy,https://github.com/rspeer/python-ftfy,Apache-2.0,2012-08-24 16:14:59.000,2024-09-03 22:54:33.000000,2024-08-06 01:28:54,637.0,16.0,119.0,76.0,75.0,13.0,130.0,3782.0,"Fixes mojibake and other glitches in Unicode text, after the fact.",19.0,33,True,2024-08-06 01:36:27.000,6.2.3,53.0,ftfy,conda-forge/ftfy,,,14.0,5634183.0,23577.0,23017.0,https://pypi.org/project/ftfy,2024-08-06 01:30:44.000,560.0,5627492.0,https://anaconda.org/conda-forge/ftfy,2024-08-06 18:05:02.848,301120.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +196,STUMPY,TDAmeritrade/stumpy,time-series-data,,https://github.com/TDAmeritrade/stumpy,https://github.com/TDAmeritrade/stumpy,BSD-3-Clause,2019-05-03 19:23:44.000,2024-09-16 01:55:17.000000,2024-09-16 01:55:17,1355.0,24.0,316.0,58.0,244.0,66.0,446.0,3636.0,STUMPY is a powerful and scalable Python library for modern time series analysis.,41.0,33,True,2024-07-09 04:43:23.000,1.13.0,29.0,stumpy,conda-forge/stumpy,,,,292237.0,920.0,890.0,https://pypi.org/project/stumpy,2024-07-09 04:21:56.000,30.0,272536.0,https://anaconda.org/conda-forge/stumpy,2024-07-09 04:54:55.949,1024452.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +197,datashader,holoviz/datashader,data-viz,,https://github.com/holoviz/datashader,https://github.com/holoviz/datashader,BSD-3-Clause,2015-12-23 18:02:20.000,2024-09-30 12:29:41.000000,2024-09-30 12:29:40,1523.0,6.0,363.0,90.0,767.0,136.0,449.0,3304.0,Quickly and accurately render even the largest data.,56.0,33,True,2024-07-04 16:40:09.000,0.16.3,51.0,datashader,conda-forge/datashader,,,,162854.0,5012.0,4816.0,https://pypi.org/project/datashader,2024-07-04 12:26:22.000,196.0,141232.0,https://anaconda.org/conda-forge/datashader,2024-07-08 10:48:31.985,1146012.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +198,hdbscan,scikit-learn-contrib/hdbscan,others,,https://github.com/scikit-learn-contrib/hdbscan,https://github.com/scikit-learn-contrib/hdbscan,BSD-3-Clause,2015-04-22 13:32:37.000,2024-09-12 08:34:28.551000,2024-08-15 21:14:21,1029.0,14.0,492.0,56.0,145.0,358.0,171.0,2778.0,A high performance implementation of HDBSCAN clustering.,92.0,33,True,2024-08-05 22:10:29.000,release-0.8.38-1,54.0,hdbscan,conda-forge/hdbscan,,['sklearn'],,640065.0,4409.0,4078.0,https://pypi.org/project/hdbscan,2024-08-05 22:21:39.000,331.0,595277.0,https://anaconda.org/conda-forge/hdbscan,2024-09-12 08:34:28.551,2149855.0,2.0,,,,,,2.0,,,,,,,,,,,,,,,,,,, +199,scikit-optimize,scikit-optimize/scikit-optimize,hyperopt,,https://github.com/scikit-optimize/scikit-optimize,https://github.com/scikit-optimize/scikit-optimize,BSD-3-Clause,2016-03-20 21:10:54.000,2024-06-05 12:17:25.116000,2021-10-12 13:32:38,1570.0,,545.0,63.0,546.0,322.0,393.0,2741.0,Sequential model-based optimization with a `scipy.optimize` interface.,76.0,33,False,2024-06-04 19:12:54.000,0.10.2,23.0,scikit-optimize,conda-forge/scikit-optimize,,,,960827.0,6964.0,6596.0,https://pypi.org/project/scikit-optimize,2024-06-04 19:12:54.000,368.0,945936.0,https://anaconda.org/conda-forge/scikit-optimize,2024-06-05 12:17:25.116,744575.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +200,pgmpy,pgmpy/pgmpy,probabilistics,,https://github.com/pgmpy/pgmpy,https://github.com/pgmpy/pgmpy,MIT,2013-09-20 08:18:58.000,2024-10-02 07:53:20.000000,2024-10-02 07:53:08,3010.0,38.0,698.0,74.0,905.0,293.0,633.0,2708.0,"Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in..",127.0,33,True,2024-08-09 17:03:45.000,0.1.26,26.0,pgmpy,,,,537.0,108584.0,1228.0,1175.0,https://pypi.org/project/pgmpy,2024-08-09 16:48:04.000,53.0,108574.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +201,Pythran,serge-sans-paille/pythran,others,,https://github.com/serge-sans-paille/pythran,https://github.com/serge-sans-paille/pythran,BSD-3-Clause,2012-05-29 08:02:14.000,2024-09-23 11:42:47.000000,2024-09-23 11:42:47,3754.0,36.0,192.0,49.0,1386.0,133.0,734.0,1994.0,Ahead of Time compiler for numeric kernels.,73.0,33,True,2024-05-28 05:22:14.000,0.16.1,61.0,pythran,conda-forge/pythran,,,,215365.0,2663.0,2644.0,https://pypi.org/project/pythran,2024-05-28 05:22:14.000,19.0,200758.0,https://anaconda.org/conda-forge/pythran,2024-09-03 03:38:51.615,715749.0,2.0,,,,,,,,,,,,,,,,,,,,,,pythran,python-pythran,, +202,PyCUDA,inducer/pycuda,gpu-utilities,,https://github.com/inducer/pycuda,https://github.com/inducer/pycuda,MIT,2011-04-06 02:53:31.000,2024-08-17 22:59:08.823000,2024-07-30 13:52:24,1606.0,12.0,285.0,56.0,142.0,83.0,191.0,1828.0,"CUDA integration for Python, plus shiny features.",82.0,33,True,2024-07-30 16:38:24.000,2024.1.2,55.0,pycuda,conda-forge/pycuda,,,,86012.0,3294.0,3137.0,https://pypi.org/project/pycuda,2024-07-30 13:53:42.000,157.0,72592.0,https://anaconda.org/conda-forge/pycuda,2024-08-17 22:59:08.823,577066.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +203,tensorly,tensorly/tensorly,others,,https://github.com/tensorly/tensorly,https://github.com/tensorly/tensorly,BSD-2-Clause,2016-10-21 23:14:52.000,2024-09-28 14:28:05.000000,2024-09-28 14:28:05,1953.0,61.0,288.0,44.0,286.0,58.0,212.0,1543.0,TensorLy: Tensor Learning in Python.,69.0,33,True,2024-06-09 17:29:20.000,0.8.2,20.0,tensorly,conda-forge/tensorly,,,,106233.0,854.0,762.0,https://pypi.org/project/tensorly,2023-03-08 01:09:02.237,92.0,98561.0,https://anaconda.org/conda-forge/tensorly,2024-06-10 02:35:16.323,368268.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +204,ipyleaflet,jupyter-widgets/ipyleaflet,geospatial-data,,https://github.com/jupyter-widgets/ipyleaflet,https://github.com/jupyter-widgets/ipyleaflet,MIT,2014-05-07 16:32:10.000,2024-08-21 06:38:39.000000,2024-07-22 07:57:37,1193.0,4.0,363.0,67.0,616.0,292.0,359.0,1486.0,A Jupyter - Leaflet.js bridge.,90.0,33,True,2024-07-22 08:02:59.000,0.19.2,84.0,ipyleaflet,conda-forge/ipyleaflet,,['jupyter'],,314768.0,11733.0,11449.0,https://pypi.org/project/ipyleaflet,2024-07-22 08:02:59.000,275.0,283204.0,https://anaconda.org/conda-forge/ipyleaflet,2024-07-22 12:26:50.743,1262178.0,2.0,,,,,,,,,jupyter-leaflet,https://www.npmjs.com/package/jupyter-leaflet,2024-07-22 08:02:28.803,9.0,7750.0,,,,,,,,,,,, +205,cartopy,SciTools/cartopy,data-viz,,https://github.com/SciTools/cartopy,https://github.com/SciTools/cartopy,BSD-3-Clause,2012-08-03 07:43:59.000,2024-09-25 19:28:03.000000,2024-09-25 19:28:03,3080.0,26.0,359.0,54.0,1194.0,312.0,970.0,1414.0,Cartopy - a cartographic python library with matplotlib support.,127.0,33,True,2024-04-10 17:52:06.000,0.23.0,30.0,cartopy,conda-forge/cartopy,,,,398825.0,6424.0,5711.0,https://pypi.org/project/cartopy,2024-04-10 17:52:06.000,713.0,321997.0,https://anaconda.org/conda-forge/cartopy,2024-09-12 21:24:51.674,4071894.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +206,agate,wireservice/agate,others,,https://github.com/wireservice/agate,https://github.com/wireservice/agate,MIT,2014-04-25 13:59:09.000,2024-07-30 07:34:33.171000,2024-07-30 00:56:56,1557.0,2.0,155.0,40.0,133.0,4.0,644.0,1170.0,A Python data analysis library that is optimized for humans instead of machines.,53.0,33,True,2024-07-30 00:58:25.000,1.12.0,37.0,agate,conda-forge/agate,,,,10627644.0,3856.0,3807.0,https://pypi.org/project/agate,2024-07-30 00:58:25.000,49.0,10621869.0,https://anaconda.org/conda-forge/agate,2024-07-30 07:34:33.171,236797.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +207,NIPYPE,nipy/nipype,medical-data,,https://github.com/nipy/nipype,https://github.com/nipy/nipype,Apache-2.0,2010-07-22 17:06:49.000,2024-08-01 09:45:41.000000,2024-05-30 14:50:18,14882.0,,506.0,50.0,2314.0,405.0,962.0,746.0,Workflows and interfaces for neuroimaging packages.,256.0,33,True,2023-04-06 12:55:55.544,1.8.6,64.0,nipype,conda-forge/nipype,,,,218194.0,5117.0,4969.0,https://pypi.org/project/nipype,2023-04-06 12:55:55.544,148.0,204424.0,https://anaconda.org/conda-forge/nipype,2023-09-22 18:28:24.915,688549.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +208,vit-pytorch,lucidrains/vit-pytorch,image,,https://github.com/lucidrains/vit-pytorch,https://github.com/lucidrains/vit-pytorch,MIT,2020-10-03 22:47:24.000,2024-08-28 19:22:10.000000,2024-08-28 19:21:31,321.0,13.0,2982.0,151.0,54.0,134.0,140.0,19888.0,"Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single..",21.0,32,True,2024-08-28 19:22:10.000,1.7.12,202.0,vit-pytorch,,,['pytorch'],,18266.0,545.0,532.0,https://pypi.org/project/vit-pytorch,2024-08-28 19:22:10.000,13.0,18266.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +209,zipline,quantopian/zipline,financial-data,,https://github.com/quantopian/zipline,https://github.com/quantopian/zipline,Apache-2.0,2012-10-19 15:50:29.000,2024-02-13 08:02:51.000000,2020-10-14 16:36:49,6226.0,,4706.0,1011.0,1869.0,363.0,658.0,17560.0,"Zipline, a Pythonic Algorithmic Trading Library.",161.0,32,False,2020-10-05 15:46:20.429,1.4.1,30.0,zipline,conda-forge/zipline,,,,3695.0,1018.0,1008.0,https://pypi.org/project/zipline,2020-10-05 15:46:20.429,10.0,3517.0,https://anaconda.org/conda-forge/zipline,2023-06-16 19:21:35.991,8723.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +210,Lime,marcotcr/lime,interpretability,,https://github.com/marcotcr/lime,https://github.com/marcotcr/lime,BSD-2-Clause,2016-03-15 22:18:10.000,2024-07-25 20:32:21.000000,2021-07-29 23:17:25,531.0,,1795.0,261.0,117.0,120.0,535.0,11542.0,Lime: Explaining the predictions of any machine learning classifier.,62.0,32,False,2020-04-03 22:05:03.000,0.2.0.0,39.0,lime,conda-forge/lime,,,,398282.0,6603.0,6400.0,https://pypi.org/project/lime,2020-06-26 21:38:15.000,203.0,395838.0,https://anaconda.org/conda-forge/lime,2023-06-16 13:18:57.655,229737.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +211,Turi Create,apple/turicreate,ml-frameworks,,https://github.com/apple/turicreate,https://github.com/apple/turicreate,BSD-3-Clause,2017-12-01 00:42:04.000,2023-11-01 06:14:06.000000,2021-11-29 19:55:31,1571.0,,1135.0,339.0,1683.0,523.0,1294.0,11191.0,Turi Create simplifies the development of custom machine learning models.,87.0,32,False,2020-09-30 22:51:40.000,6.4.1,31.0,turicreate,,,,10736.0,16787.0,380.0,375.0,https://pypi.org/project/turicreate,2020-09-30 22:51:40.000,5.0,16657.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +212,ParlAI,facebookresearch/ParlAI,nlp,,https://github.com/facebookresearch/ParlAI,https://github.com/facebookresearch/ParlAI,MIT,2017-04-24 17:10:44.000,2023-11-03 14:30:00.000000,2023-11-03 14:30:00,4358.0,,2091.0,283.0,3401.0,51.0,1494.0,10478.0,A framework for training and evaluating AI models on a variety of openly available dialogue datasets.,218.0,32,True,2023-06-06 20:46:16.091,1.7.2,25.0,parlai,,,['pytorch'],,3348.0,258.0,253.0,https://pypi.org/project/parlai,2022-09-20 02:56:01.305,5.0,3348.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +213,wordcloud,amueller/word_cloud,data-viz,,https://github.com/amueller/word_cloud,https://github.com/amueller/word_cloud,MIT,2012-11-04 22:57:59.000,2024-09-16 13:29:20.331000,2024-09-15 17:01:45,578.0,2.0,2311.0,217.0,251.0,125.0,417.0,10101.0,A little word cloud generator in Python.,72.0,32,True,2023-12-09 14:04:35.000,1.9.3,20.0,wordcloud,conda-forge/wordcloud,,,,1672107.0,552.0,21.0,https://pypi.org/project/wordcloud,2023-12-09 14:04:35.000,531.0,1661495.0,https://anaconda.org/conda-forge/wordcloud,2024-09-16 13:29:20.331,541238.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +214,Sonnet,deepmind/sonnet,ml-frameworks,,https://github.com/google-deepmind/sonnet,https://github.com/google-deepmind/sonnet,Apache-2.0,2017-04-03 11:34:35.000,2024-10-01 18:34:33.000000,2024-04-08 20:21:10,864.0,,1289.0,422.0,89.0,32.0,161.0,9757.0,TensorFlow-based neural network library.,59.0,32,True,2024-01-02 11:15:06.000,2.0.2,29.0,dm-sonnet,conda-forge/sonnet,,['tensorflow'],,21744.0,1362.0,1343.0,https://pypi.org/project/dm-sonnet,2024-01-02 11:15:06.000,19.0,21168.0,https://anaconda.org/conda-forge/sonnet,2023-06-16 16:19:12.602,34014.0,3.0,,,,,,,,google-deepmind/sonnet,,,,,,,,,,,,,,,,, +215,cleanlab,cleanlab/cleanlab,others,,https://github.com/cleanlab/cleanlab,https://github.com/cleanlab/cleanlab,AGPL-3.0,2018-05-11 01:55:21.000,2024-09-30 16:34:15.000000,2024-09-30 16:34:14,1741.0,50.0,729.0,89.0,801.0,112.0,271.0,9450.0,"The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.",51.0,32,False,2024-09-26 16:50:26.000,2.7.0,32.0,cleanlab,conda-forge/cleanlab,,,,26319.0,399.0,381.0,https://pypi.org/project/cleanlab,2024-09-26 16:50:26.000,18.0,25601.0,https://anaconda.org/conda-forge/cleanlab,2024-06-26 17:29:18.404,30166.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +216,tsfresh,blue-yonder/tsfresh,time-series-data,,https://github.com/blue-yonder/tsfresh,https://github.com/blue-yonder/tsfresh,MIT,2016-10-26 11:29:17.000,2024-08-04 02:13:02.666000,2024-08-03 20:47:58,560.0,6.0,1206.0,170.0,436.0,68.0,474.0,8382.0,Automatic extraction of relevant features from time series:.,97.0,32,True,2024-08-03 20:51:43.000,0.20.3,32.0,tsfresh,conda-forge/tsfresh,,['sklearn'],,266435.0,114.0,21.0,https://pypi.org/project/tsfresh,2024-08-03 20:51:43.000,93.0,240192.0,https://anaconda.org/conda-forge/tsfresh,2024-08-04 02:13:02.666,1390886.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +217,OpenNMT,OpenNMT/OpenNMT-py,nlp,,https://github.com/OpenNMT/OpenNMT-py,https://github.com/OpenNMT/OpenNMT-py,MIT,2017-02-22 19:01:50.000,2024-06-27 17:56:28.000000,2024-06-27 17:56:21,2895.0,,2243.0,177.0,1152.0,27.0,1429.0,6730.0,Open Source Neural Machine Translation and (Large) Language Models in PyTorch.,191.0,32,True,2024-03-18 14:02:12.000,3.5.1,50.0,OpenNMT-py,,,['pytorch'],,9110.0,313.0,290.0,https://pypi.org/project/OpenNMT-py,2024-03-18 14:02:12.000,23.0,9110.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +218,tensorpack,tensorpack/tensorpack,ml-frameworks,,https://github.com/tensorpack/tensorpack,https://github.com/tensorpack/tensorpack,Apache-2.0,2015-12-25 23:08:44.000,2023-08-06 00:30:36.000000,2023-08-06 00:30:36,2944.0,,1813.0,196.0,206.0,13.0,1343.0,6296.0,"A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility.",58.0,32,False,2020-04-24 19:04:45.487,0.10.1,37.0,tensorpack,conda-forge/tensorpack,,['tensorflow'],184.0,14030.0,1617.0,1599.0,https://pypi.org/project/tensorpack,2021-01-22 19:59:12.425,18.0,13711.0,https://anaconda.org/conda-forge/tensorpack,2023-06-16 19:27:42.012,11446.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +219,kaggle,Kaggle/kaggle-api,ml-experiments,,https://github.com/Kaggle/kaggle-api,https://github.com/Kaggle/kaggle-api,Apache-2.0,2018-01-25 03:02:39.000,2024-10-02 16:04:37.000000,2024-10-02 16:04:33,204.0,22.0,1083.0,197.0,146.0,151.0,338.0,6158.0,Official Kaggle API.,47.0,32,True,2024-07-24 19:08:19.000,1.6.17,74.0,kaggle,conda-forge/kaggle,,,,227364.0,230.0,21.0,https://pypi.org/project/kaggle,2024-07-24 19:08:19.000,209.0,223650.0,https://anaconda.org/conda-forge/kaggle,2024-07-27 21:52:01.276,182006.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +220,aim,aimhubio/aim,ml-experiments,,https://github.com/aimhubio/aim,https://github.com/aimhubio/aim,Apache-2.0,2019-05-31 18:25:07.000,2024-10-02 20:10:49.000000,2024-10-02 16:35:21,2213.0,21.0,315.0,44.0,2187.0,375.0,664.0,5165.0,Aim An easy-to-use & supercharged open-source experiment tracker.,76.0,32,True,2024-10-02 17:28:03.000,3.25.0,1113.0,aim,conda-forge/aim,,,,175905.0,727.0,689.0,https://pypi.org/project/aim,2024-10-02 20:10:49.000,38.0,173896.0,https://anaconda.org/conda-forge/aim,2024-06-14 16:22:37.168,78357.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +221,River,online-ml/river,others,,https://github.com/online-ml/river,https://github.com/online-ml/river,BSD-3-Clause,2019-01-24 15:18:26.000,2024-09-11 22:07:01.000000,2024-09-11 22:02:54,3912.0,34.0,537.0,81.0,603.0,114.0,495.0,5024.0,Online machine learning in Python.,121.0,32,True,2024-07-09 19:24:30.000,0.21.2,22.0,river,conda-forge/river,,,,73518.0,614.0,560.0,https://pypi.org/project/river,2024-07-09 19:24:30.000,54.0,71609.0,https://anaconda.org/conda-forge/river,2023-10-06 14:40:00.791,80184.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +222,MLxtend,rasbt/mlxtend,sklearn-utils,,https://github.com/rasbt/mlxtend,https://github.com/rasbt/mlxtend,BSD-3-Clause,2014-08-14 01:56:16.000,2024-07-02 00:51:45.000000,2024-07-02 00:51:45,1646.0,,855.0,116.0,529.0,146.0,342.0,4868.0,A library of extension and helper modules for Pythons data analysis and machine learning libraries.,107.0,32,True,2024-01-05 09:13:47.000,0.23.1,52.0,mlxtend,conda-forge/mlxtend,,['sklearn'],,630612.0,15476.0,15295.0,https://pypi.org/project/mlxtend,2024-01-05 09:13:47.000,181.0,624269.0,https://anaconda.org/conda-forge/mlxtend,2024-01-05 18:58:45.309,323520.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +223,hnswlib,nmslib/hnswlib,nn-search,,https://github.com/nmslib/hnswlib,https://github.com/nmslib/hnswlib,Apache-2.0,2017-07-06 13:08:46.000,2024-08-11 18:38:37.000000,2024-06-17 19:23:44,491.0,,619.0,64.0,223.0,223.0,162.0,4306.0,Header-only C++/python library for fast approximate nearest neighbors.,72.0,32,True,2023-12-03 04:16:17.000,0.8.0,11.0,hnswlib,conda-forge/hnswlib,,,,989269.0,7124.0,6990.0,https://pypi.org/project/hnswlib,2023-12-03 04:16:17.000,134.0,984165.0,https://anaconda.org/conda-forge/hnswlib,2023-09-27 14:20:16.958,234809.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +224,sacred,IDSIA/sacred,ml-experiments,,https://github.com/IDSIA/sacred,https://github.com/IDSIA/sacred,MIT,2014-03-31 18:05:29.000,2024-08-26 09:23:15.000000,2024-08-26 09:20:38,1348.0,4.0,380.0,69.0,371.0,102.0,460.0,4225.0,"Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.",105.0,32,True,2024-08-26 09:23:15.000,0.8.6,30.0,sacred,conda-forge/sacred,,,,204714.0,3255.0,3195.0,https://pypi.org/project/sacred,2024-08-26 09:23:15.000,60.0,204527.0,https://anaconda.org/conda-forge/sacred,2023-11-28 14:54:27.704,6572.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +225,Dedupe,dedupeio/dedupe,nlp,,https://github.com/dedupeio/dedupe,https://github.com/dedupeio/dedupe,MIT,2012-04-20 14:57:36.000,2024-09-23 02:29:48.000000,2024-08-15 14:20:30,3331.0,10.0,548.0,120.0,381.0,72.0,743.0,4111.0,"A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.",72.0,32,True,2024-08-15 14:31:34.000,3.0.3,179.0,dedupe,conda-forge/dedupe,,,,123797.0,358.0,339.0,https://pypi.org/project/dedupe,2024-08-15 14:31:34.000,19.0,121619.0,https://anaconda.org/conda-forge/dedupe,2023-06-16 19:28:08.623,74079.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +226,nevergrad,facebookresearch/nevergrad,hyperopt,,https://github.com/facebookresearch/nevergrad,https://github.com/facebookresearch/nevergrad,MIT,2018-11-21 00:33:17.000,2024-10-03 15:19:21.000000,2024-10-03 10:50:41,1112.0,18.0,352.0,58.0,1379.0,121.0,184.0,3942.0,A Python toolbox for performing gradient-free optimization.,57.0,32,True,2024-09-25 16:43:58.000,1.0.5,50.0,nevergrad,conda-forge/nevergrad,,,,81095.0,804.0,746.0,https://pypi.org/project/nevergrad,2024-09-25 16:43:58.000,58.0,80077.0,https://anaconda.org/conda-forge/nevergrad,2024-01-09 16:02:07.312,54000.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +227,pytorch-forecasting,jdb78/pytorch-forecasting,time-series-data,,https://github.com/sktime/pytorch-forecasting,https://github.com/sktime/pytorch-forecasting,MIT,2020-07-03 13:05:24.000,2024-10-03 00:44:05.000000,2024-09-30 11:53:45,1902.0,111.0,614.0,41.0,899.0,476.0,304.0,3896.0,Time series forecasting with PyTorch.,52.0,32,True,2024-09-09 09:36:07.000,1.1.1,36.0,pytorch-forecasting,conda-forge/pytorch-forecasting,,,,55837.0,458.0,436.0,https://pypi.org/project/pytorch-forecasting,2024-09-09 09:36:07.000,22.0,54527.0,https://anaconda.org/conda-forge/pytorch-forecasting,2023-06-16 19:21:40.268,64205.0,2.0,,,,,,,,sktime/pytorch-forecasting,,,,,,,,,,,,,,,,, +228,GPyTorch,cornellius-gp/gpytorch,probabilistics,,https://github.com/cornellius-gp/gpytorch,https://github.com/cornellius-gp/gpytorch,MIT,2017-06-09 14:48:20.000,2024-09-27 22:14:33.000000,2024-09-27 22:14:33,3900.0,29.0,553.0,58.0,914.0,366.0,979.0,3539.0,A highly efficient implementation of Gaussian Processes in PyTorch.,135.0,32,True,2024-09-06 21:42:56.000,1.13,41.0,gpytorch,conda-forge/gpytorch,,['pytorch'],,265298.0,2536.0,2367.0,https://pypi.org/project/gpytorch,2024-09-06 21:48:53.000,169.0,261961.0,https://anaconda.org/conda-forge/gpytorch,2024-09-07 18:14:18.267,176865.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +229,torchtext,pytorch/text,nlp,,https://github.com/pytorch/text,https://github.com/pytorch/text,BSD-3-Clause,2016-12-12 00:56:03.000,2024-10-03 11:34:38.000000,2024-08-14 20:32:21,1311.0,2.0,813.0,306.0,1470.0,331.0,518.0,3503.0,"Models, data loaders and abstractions for language processing, powered by PyTorch.",156.0,32,True,2024-04-24 16:20:45.000,0.18.0,34.0,torchtext,,,['pytorch'],,1197255.0,285.0,,https://pypi.org/project/torchtext,2024-04-24 15:49:45.000,285.0,1197255.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +230,tensorflow-hub,tensorflow/hub,tensorflow-utils,,https://github.com/tensorflow/hub,https://github.com/tensorflow/hub,Apache-2.0,2018-03-12 07:55:42.000,2024-06-06 21:49:17.000000,2024-06-06 21:49:15,1186.0,,1663.0,153.0,210.0,12.0,693.0,3467.0,A library for transfer learning by reusing parts of TensorFlow models.,107.0,32,True,2024-01-30 15:53:29.000,0.16.1,20.0,tensorflow-hub,conda-forge/tensorflow-hub,,['tensorflow'],,1949224.0,303.0,,https://pypi.org/project/tensorflow-hub,2024-01-30 14:49:07.000,303.0,1947116.0,https://anaconda.org/conda-forge/tensorflow-hub,2024-05-07 05:39:07.350,105443.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +231,NMSLIB,nmslib/nmslib,nn-search,,https://github.com/nmslib/nmslib,https://github.com/nmslib/nmslib,Apache-2.0,2013-07-10 11:06:06.000,2024-09-21 03:01:04.000000,2024-09-21 03:01:04,1581.0,22.0,447.0,93.0,126.0,91.0,348.0,3385.0,Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods..,49.0,32,True,2021-02-03 16:40:09.000,2.1.1,32.0,nmslib,conda-forge/nmslib,,,,192119.0,1278.0,1215.0,https://pypi.org/project/nmslib,2021-02-03 00:02:08.000,63.0,189058.0,https://anaconda.org/conda-forge/nmslib,2024-09-09 06:18:10.925,146946.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +232,FairScale,facebookresearch/fairscale,distributed-ml,,https://github.com/facebookresearch/fairscale,https://github.com/facebookresearch/fairscale,BSD-3-Clause,2020-07-07 19:02:01.000,2024-08-30 20:15:08.000000,2024-05-03 16:54:19,704.0,,274.0,46.0,828.0,102.0,285.0,3164.0,PyTorch extensions for high performance and large scale training.,75.0,32,True,2022-12-11 18:09:31.906,0.4.13,35.0,fairscale,conda-forge/fairscale,,['pytorch'],,560074.0,6522.0,6369.0,https://pypi.org/project/fairscale,2022-12-11 18:09:31.906,153.0,551462.0,https://anaconda.org/conda-forge/fairscale,2023-11-28 00:29:10.363,301440.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +233,lightly,lightly-ai/lightly,image,,https://github.com/lightly-ai/lightly,https://github.com/lightly-ai/lightly,MIT,2020-10-13 13:02:56.000,2024-10-03 13:09:55.000000,2024-10-03 13:09:54,1254.0,58.0,256.0,29.0,1105.0,72.0,490.0,3061.0,A python library for self-supervised learning on images.,43.0,32,True,2024-09-24 08:48:24.000,1.5.13,127.0,lightly,,,['pytorch'],,30765.0,332.0,318.0,https://pypi.org/project/lightly,2024-09-24 08:50:32.000,14.0,30765.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +234,category_encoders,scikit-learn-contrib/category_encoders,sklearn-utils,,https://github.com/scikit-learn-contrib/category_encoders,https://github.com/scikit-learn-contrib/category_encoders,BSD-3-Clause,2015-11-29 19:32:37.000,2024-10-02 13:16:06.886000,2024-10-01 21:19:30,966.0,9.0,393.0,38.0,151.0,46.0,248.0,2405.0,A library of sklearn compatible categorical variable encoders.,70.0,32,True,2024-10-01 21:24:24.000,2.6.4,33.0,category_encoders,conda-forge/category_encoders,,['sklearn'],,1327842.0,2442.0,2158.0,https://pypi.org/project/category_encoders,2024-10-01 21:24:24.000,284.0,1319995.0,https://anaconda.org/conda-forge/category_encoders,2024-10-02 13:16:06.886,282506.0,2.0,,,,,,2.0,,,,,,,,,,,,,,,,,,, +235,Lifelines,CamDavidsonPilon/lifelines,medical-data,,https://github.com/CamDavidsonPilon/lifelines,https://github.com/CamDavidsonPilon/lifelines,MIT,2013-08-28 00:16:42.000,2024-09-05 19:07:36.000000,2024-09-05 19:07:36,2302.0,2.0,551.0,70.0,486.0,260.0,710.0,2349.0,Survival analysis in Python.,119.0,32,True,2024-06-26 15:36:45.000,0.29.0,171.0,lifelines,conda-forge/lifelines,,,,802930.0,3088.0,2938.0,https://pypi.org/project/lifelines,2024-06-26 15:36:45.000,150.0,795976.0,https://anaconda.org/conda-forge/lifelines,2024-06-27 16:03:16.815,368603.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +236,evaluate,huggingface/evaluate,interpretability,,https://github.com/huggingface/evaluate,https://github.com/huggingface/evaluate,Apache-2.0,2022-03-30 15:08:26.000,2024-09-17 00:19:55.000000,2024-09-17 00:19:55,953.0,9.0,251.0,46.0,349.0,210.0,141.0,1982.0,Evaluate: A library for easily evaluating machine learning models and datasets.,129.0,32,True,2024-09-11 10:17:30.000,0.4.3,16.0,evaluate,,,,,2478995.0,13191.0,12788.0,https://pypi.org/project/evaluate,2024-09-11 10:15:30.000,403.0,2478995.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +237,TF Addons,tensorflow/addons,tensorflow-utils,,https://github.com/tensorflow/addons,https://github.com/tensorflow/addons,Apache-2.0,2018-11-26 23:57:17.000,2024-09-03 20:56:01.000000,2024-04-15 22:25:34,1519.0,,610.0,57.0,1884.0,90.0,899.0,1690.0,Useful extra functionality for TensorFlow 2.x maintained by SIG-addons.,207.0,32,True,2023-11-28 01:45:31.000,0.23.0,38.0,tensorflow-addons,,,['tensorflow'],,1177928.0,363.0,,https://pypi.org/project/tensorflow-addons,2023-11-28 01:45:31.000,363.0,1177928.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +238,Opacus,pytorch/opacus,privacy-ml,,https://github.com/pytorch/opacus,https://github.com/pytorch/opacus,Apache-2.0,2019-12-07 01:58:09.000,2024-09-25 16:29:21.000000,2024-09-25 16:23:34,731.0,15.0,331.0,45.0,384.0,72.0,235.0,1683.0,Training PyTorch models with differential privacy.,81.0,32,True,2024-08-03 10:32:52.000,1.5.2,24.0,opacus,conda-forge/opacus,,['pytorch'],120.0,226668.0,910.0,874.0,https://pypi.org/project/opacus,2024-08-03 10:32:52.000,36.0,226142.0,https://anaconda.org/conda-forge/opacus,2024-08-05 12:31:17.057,17310.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +239,Geocoder,DenisCarriere/geocoder,geospatial-data,,https://github.com/DenisCarriere/geocoder,https://github.com/DenisCarriere/geocoder,MIT,2014-01-13 04:19:21.000,2024-04-20 16:14:16.000000,2018-10-12 15:53:05,1251.0,,284.0,51.0,158.0,114.0,218.0,1619.0,Python Geocoder.,73.0,32,False,2021-12-15 15:58:16.110,1.1.4,110.0,geocoder,conda-forge/geocoder,,,,885803.0,11666.0,11454.0,https://pypi.org/project/geocoder,2021-12-15 15:58:16.110,212.0,884166.0,https://anaconda.org/conda-forge/geocoder,2023-06-16 13:21:27.128,150607.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,geocoder, +240,PySAL,pysal/pysal,geospatial-data,,https://github.com/pysal/pysal,https://github.com/pysal/pysal,BSD-3-Clause,2013-02-19 17:27:42.000,2024-10-01 17:37:14.000000,2024-10-01 17:37:14,4364.0,113.0,303.0,79.0,670.0,17.0,634.0,1318.0,PySAL: Python Spatial Analysis Library Meta-Package.,79.0,32,True,2024-07-30 17:42:50.000,24.07,41.0,pysal,conda-forge/pysal,,,,57561.0,1706.0,1657.0,https://pypi.org/project/pysal,2024-07-30 17:42:53.000,49.0,46252.0,https://anaconda.org/conda-forge/pysal,2024-07-30 21:31:48.610,576796.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +241,Satpy,pytroll/satpy,geospatial-data,,https://github.com/pytroll/satpy,https://github.com/pytroll/satpy,GPL-3.0,2016-02-09 20:29:43.000,2024-10-02 13:52:03.000000,2024-10-02 13:52:03,13999.0,236.0,290.0,34.0,1860.0,482.0,664.0,1055.0,Python package for earth-observing satellite data processing.,162.0,32,False,2024-08-15 13:27:18.000,0.51.0,96.0,satpy,conda-forge/satpy,,,,13319.0,173.0,143.0,https://pypi.org/project/satpy,2024-08-15 13:27:18.000,30.0,9047.0,https://anaconda.org/conda-forge/satpy,2024-08-15 19:19:25.115,222169.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +242,SALib,SALib/SALib,probabilistics,,https://github.com/SALib/SALib,https://github.com/SALib/SALib,MIT,2013-05-30 13:38:10.000,2024-09-20 11:56:36.472000,2024-09-20 11:04:38,1963.0,13.0,234.0,18.0,300.0,53.0,285.0,873.0,"Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.",48.0,32,True,2024-08-19 16:35:23.000,1.5.1,49.0,salib,conda-forge/salib,,,,488861.0,1396.0,1269.0,https://pypi.org/project/salib,2024-08-19 16:35:23.000,127.0,485047.0,https://anaconda.org/conda-forge/salib,2024-09-20 11:56:36.472,183094.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +243,DIPY,dipy/dipy,medical-data,,https://github.com/dipy/dipy,https://github.com/dipy/dipy,,2010-02-06 11:43:08.000,2024-10-02 14:51:27.000000,2024-10-02 14:51:27,14466.0,296.0,434.0,54.0,2221.0,191.0,800.0,702.0,"DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal..",164.0,32,False,2024-03-08 22:14:36.000,1.9.0,28.0,dipy,conda-forge/dipy,,,,41162.0,1365.0,1242.0,https://pypi.org/project/dipy,2024-03-08 22:14:36.000,123.0,30776.0,https://anaconda.org/conda-forge/dipy,2024-03-10 04:37:57.447,508949.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +244,datalad,datalad/datalad,others,,https://github.com/datalad/datalad,https://github.com/datalad/datalad,MIT,2013-11-01 19:40:08.000,2024-09-30 20:17:48.000000,2024-09-30 20:17:46,17279.0,40.0,111.0,28.0,3613.0,528.0,3412.0,526.0,"Keep code, data, containers under control with git and git-annex.",57.0,32,True,2024-08-08 02:59:23.000,1.1.3,119.0,datalad,conda-forge/datalad,,,,62118.0,517.0,422.0,https://pypi.org/project/datalad,2024-08-08 02:59:23.000,95.0,50185.0,https://anaconda.org/conda-forge/datalad,2024-08-08 08:36:45.951,620549.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +245,spleeter,deezer/spleeter,audio,,https://github.com/deezer/spleeter,https://github.com/deezer/spleeter,MIT,2019-09-26 15:40:46.000,2024-08-04 12:17:57.000000,2023-07-13 08:50:20,531.0,,2809.0,387.0,123.0,239.0,561.0,25701.0,Deezer source separation library including pretrained models.,19.0,31,False,2023-07-10 10:07:01.047,2.4.0,37.0,spleeter,conda-forge/spleeter,,['tensorflow'],3431697.0,78682.0,802.0,790.0,https://pypi.org/project/spleeter,2022-06-10 13:19:35.000,12.0,19911.0,https://anaconda.org/conda-forge/spleeter,2023-06-16 16:18:57.741,93083.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +246,Magenta,magenta/magenta,audio,,https://github.com/magenta/magenta,https://github.com/magenta/magenta,Apache-2.0,2016-05-05 20:10:40.000,2024-08-01 02:26:10.000000,2024-08-01 02:26:04,1422.0,1.0,3735.0,752.0,1140.0,413.0,589.0,19116.0,Magenta: Music and Art Generation with Machine Intelligence.,155.0,31,True,2023-12-02 01:16:14.308,0.1.0,68.0,magenta,,,['tensorflow'],,6051.0,535.0,530.0,https://pypi.org/project/magenta,2022-08-01 18:23:00.243,5.0,6051.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +247,NNI,microsoft/nni,hyperopt,,https://github.com/microsoft/nni,https://github.com/microsoft/nni,MIT,2018-06-01 05:51:44.000,2024-07-03 10:55:10.000000,2023-10-26 05:31:53,3012.0,,1807.0,284.0,3507.0,417.0,1684.0,14001.0,"An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural..",192.0,31,True,2023-09-14 12:12:06.000,3.0,55.0,nni,,,,,18018.0,68.0,21.0,https://pypi.org/project/nni,2023-09-14 12:22:00.000,47.0,18018.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +248,PaddleHub,PaddlePaddle/PaddleHub,others,,https://github.com/PaddlePaddle/PaddleHub,https://github.com/PaddlePaddle/PaddleHub,Apache-2.0,2018-12-21 06:00:48.000,2024-08-07 03:17:23.000000,2024-08-07 03:17:23,2667.0,2.0,2074.0,182.0,1006.0,574.0,727.0,12688.0,"Awesome pre-trained models toolkit based on PaddlePaddle. (400+ models including Image, Text, Audio, Video and Cross-..",70.0,31,True,2023-09-20 10:33:08.000,2.4.0,50.0,paddlehub,,,['paddle'],794.0,5154.0,1733.0,1726.0,https://pypi.org/project/paddlehub,2023-09-20 10:33:08.000,7.0,5143.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +249,FinRL,AI4Finance-Foundation/FinRL,reinforcement-learning,,https://github.com/AI4Finance-Foundation/FinRL,https://github.com/AI4Finance-Foundation/FinRL,MIT,2020-07-26 13:18:16.000,2024-10-03 13:32:48.000000,2024-10-03 13:32:48,2961.0,18.0,2357.0,201.0,470.0,246.0,475.0,9715.0,FinRL: Financial Reinforcement Learning.,117.0,31,True,2023-02-07 13:58:00.815,0.3.6,8.0,finrl,,,,,1165.0,48.0,48.0,https://pypi.org/project/finrl,2022-01-08 13:58:14.000,,1165.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +250,TPOT,EpistasisLab/tpot,hyperopt,,https://github.com/EpistasisLab/tpot,https://github.com/EpistasisLab/tpot,LGPL-3.0,2015-11-03 21:08:40.000,2024-07-25 10:51:05.000000,2024-02-23 19:03:07,2440.0,,1559.0,287.0,434.0,293.0,639.0,9688.0,A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.,121.0,31,False,2024-02-23 19:06:10.000,0.12.2,63.0,tpot,conda-forge/tpot,,['sklearn'],,50560.0,3032.0,2994.0,https://pypi.org/project/tpot,2024-02-23 19:06:10.000,38.0,45360.0,https://anaconda.org/conda-forge/tpot,2024-02-26 15:57:08.680,270414.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +251,TFlearn,tflearn/tflearn,ml-frameworks,,https://github.com/tflearn/tflearn,https://github.com/tflearn/tflearn,MIT,2016-03-31 12:05:53.000,2024-05-06 11:34:20.000000,2020-11-30 04:34:51,613.0,,2410.0,457.0,261.0,577.0,364.0,9618.0,Deep learning library featuring a higher-level API for TensorFlow.,145.0,31,False,2020-11-11 19:26:11.000,0.5.0,8.0,tflearn,,,['tensorflow'],,7213.0,5031.0,5017.0,https://pypi.org/project/tflearn,2020-11-11 19:13:47.000,14.0,7213.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +252,fuzzywuzzy,seatgeek/fuzzywuzzy,nlp,,https://github.com/seatgeek/fuzzywuzzy,https://github.com/seatgeek/fuzzywuzzy,GPL-2.0,2011-07-08 19:32:34.000,2023-06-16 13:22:53.603000,2021-09-09 20:54:41,384.0,,878.0,259.0,148.0,107.0,104.0,9220.0,Fuzzy String Matching in Python.,70.0,31,False,2020-02-13 22:14:12.000,0.18.0,27.0,fuzzywuzzy,conda-forge/fuzzywuzzy,,,,8201842.0,1211.0,21.0,https://pypi.org/project/fuzzywuzzy,2020-02-13 21:06:25.000,1190.0,8196185.0,https://anaconda.org/conda-forge/fuzzywuzzy,2023-06-16 13:22:53.603,560116.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +253,AutoKeras,keras-team/autokeras,hyperopt,,https://github.com/keras-team/autokeras,https://github.com/keras-team/autokeras,Apache-2.0,2017-11-19 23:18:20.000,2024-03-20 22:02:13.000000,2024-03-20 22:02:12,1391.0,,1399.0,302.0,894.0,142.0,759.0,9124.0,AutoML library for deep learning.,143.0,31,True,2024-03-20 21:40:33.000,2.0.0,59.0,autokeras,,,['tensorflow'],18852.0,22803.0,749.0,736.0,https://pypi.org/project/autokeras,2024-03-20 21:40:33.000,13.0,22576.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +254,imageai,OlafenwaMoses/ImageAI,image,,https://github.com/OlafenwaMoses/ImageAI,https://github.com/OlafenwaMoses/ImageAI,MIT,2018-03-19 23:12:33.000,2024-08-03 09:45:20.000000,2024-02-20 22:38:05,385.0,,2157.0,288.0,98.0,311.0,446.0,8581.0,A python library built to empower developers to build applications and systems with self-contained Computer Vision..,19.0,31,True,2023-01-02 17:10:24.749,3.0.3,13.0,imageai,conda-forge/imageai,,,940891.0,21269.0,1692.0,1673.0,https://pypi.org/project/imageai,2023-01-02 17:10:24.749,19.0,9052.0,https://anaconda.org/conda-forge/imageai,2023-06-16 19:21:01.568,7929.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +255,Darts,unit8co/darts,time-series-data,,https://github.com/unit8co/darts,https://github.com/unit8co/darts,Apache-2.0,2018-09-13 15:17:28.000,2024-10-03 14:31:54.000000,2024-09-28 10:51:50,1245.0,25.0,858.0,60.0,1016.0,256.0,1315.0,7954.0,A python library for user-friendly forecasting and anomaly detection on time series.,125.0,31,True,2024-06-19 16:52:35.000,0.30.0,43.0,u8darts,conda-forge/u8darts-all,,,,74987.0,10.0,,https://pypi.org/project/u8darts,2024-06-19 16:52:35.000,10.0,73487.0,https://anaconda.org/conda-forge/u8darts-all,2024-06-21 14:16:42.811,58159.0,2.0,unit8/darts,https://hub.docker.com/r/unit8/darts,2024-04-17 11:31:17.149896,,693.0,,,,,,,,,,,,,,,,,,,, +256,auto-sklearn,automl/auto-sklearn,hyperopt,,https://github.com/automl/auto-sklearn,https://github.com/automl/auto-sklearn,BSD-3-Clause,2015-07-02 15:38:10.000,2024-09-26 14:50:30.000000,2023-04-18 11:08:13,2759.0,,1269.0,215.0,720.0,196.0,829.0,7579.0,Automated Machine Learning with scikit-learn.,88.0,31,False,2023-02-13 12:35:21.000,0.15.0,42.0,auto-sklearn,conda-forge/auto-sklearn,,['sklearn'],62.0,19207.0,641.0,607.0,https://pypi.org/project/auto-sklearn,2022-09-20 10:32:07.471,34.0,18599.0,https://anaconda.org/conda-forge/auto-sklearn,2023-06-16 19:25:30.278,25542.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +257,DeepPavlov,deepmipt/DeepPavlov,nlp,,https://github.com/deeppavlov/DeepPavlov,https://github.com/deeppavlov/DeepPavlov,Apache-2.0,2017-11-17 14:35:29.000,2024-08-12 17:22:54.000000,2024-08-12 17:08:04,2710.0,2.0,1140.0,209.0,1051.0,25.0,615.0,6673.0,An open source library for deep learning end-to-end dialog systems and chatbots.,77.0,31,True,2024-08-12 17:22:54.000,1.7.0,64.0,deeppavlov,,,['tensorflow'],,10925.0,415.0,411.0,https://pypi.org/project/deeppavlov,2024-08-12 17:22:54.000,4.0,10925.0,,,,2.0,,,,,,,,deeppavlov/DeepPavlov,,,,,,,,,,,,,,,,, +258,skorch,skorch-dev/skorch,ml-frameworks,,https://github.com/skorch-dev/skorch,https://github.com/skorch-dev/skorch,BSD-3-Clause,2017-07-18 00:13:54.000,2024-09-20 10:35:33.000000,2024-09-20 10:02:01,1094.0,3.0,385.0,81.0,538.0,62.0,457.0,5835.0,A scikit-learn compatible neural network library that wraps PyTorch.,62.0,31,True,2024-05-27 15:25:43.000,1.0.0,20.0,skorch,conda-forge/skorch,,"['pytorch', 'sklearn']",,159189.0,1486.0,1401.0,https://pypi.org/project/skorch,2024-05-27 15:23:17.000,85.0,143138.0,https://anaconda.org/conda-forge/skorch,2024-05-30 08:55:05.943,786545.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +259,Tesseract,madmaze/pytesseract,ocr,,https://github.com/madmaze/pytesseract,https://github.com/madmaze/pytesseract,Apache-2.0,2010-10-27 23:02:49.000,2024-09-22 11:00:43.000000,2024-09-22 11:00:40,620.0,2.0,714.0,110.0,192.0,18.0,350.0,5782.0,Python-tesseract is an optical character recognition (OCR) tool for python.,49.0,31,True,2024-08-16 02:36:10.000,0.3.13,28.0,pytesseract,conda-forge/pytesseract,,,,2574049.0,971.0,,https://pypi.org/project/pytesseract,2024-08-16 02:36:10.000,971.0,2561780.0,https://anaconda.org/conda-forge/pytesseract,2023-10-15 19:50:43.241,625767.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +260,torchdiffeq,rtqichen/torchdiffeq,pytorch-utils,,https://github.com/rtqichen/torchdiffeq,https://github.com/rtqichen/torchdiffeq,MIT,2018-11-14 17:51:25.000,2024-05-29 15:01:39.000000,2023-10-19 19:24:51,248.0,,910.0,125.0,38.0,74.0,147.0,5498.0,Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.,21.0,31,True,2024-05-29 15:01:39.000,0.2.4,8.0,torchdiffeq,conda-forge/torchdiffeq,,['pytorch'],,834796.0,3965.0,3865.0,https://pypi.org/project/torchdiffeq,2024-05-29 15:01:39.000,100.0,834464.0,https://anaconda.org/conda-forge/torchdiffeq,2023-06-16 19:19:05.182,17619.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +261,imutils,PyImageSearch/imutils,image,,https://github.com/PyImageSearch/imutils,https://github.com/PyImageSearch/imutils,MIT,2015-01-11 20:05:39.000,2024-06-24 13:34:47.000000,2022-01-27 13:24:16,139.0,,1026.0,152.0,116.0,162.0,79.0,4531.0,"A series of convenience functions to make basic image processing operations such as translation, rotation, resizing,..",21.0,31,False,2021-01-15 10:53:17.000,0.5.4,29.0,imutils,conda-forge/imutils,,,,593125.0,46609.0,46179.0,https://pypi.org/project/imutils,2021-01-15 10:53:17.000,430.0,589370.0,https://anaconda.org/conda-forge/imutils,2023-10-27 09:12:56.985,191531.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +262,cuML,rapidsai/cuml,gpu-utilities,,https://github.com/rapidsai/cuml,https://github.com/rapidsai/cuml,Apache-2.0,2018-10-11 15:45:35.000,2024-10-03 15:31:12.000000,2024-10-03 14:48:21,15538.0,74.0,525.0,72.0,3623.0,888.0,1606.0,4178.0,cuML - RAPIDS Machine Learning Library.,177.0,31,True,2024-08-08 02:09:42.000,24.08.00,41.0,cuml,,,,,3031.0,14.0,,https://pypi.org/project/cuml,2020-06-01 20:09:10.000,14.0,3031.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +263,AzureML SDK,Azure/MachineLearningNotebooks,ml-experiments,,https://github.com/Azure/MachineLearningNotebooks,https://github.com/Azure/MachineLearningNotebooks,MIT,2018-08-17 17:29:14.000,2024-08-08 15:36:05.000000,2024-08-08 15:36:05,1297.0,2.0,2506.0,1950.0,535.0,390.0,1077.0,4073.0,Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft.,64.0,31,True,2024-08-05 21:53:53.000,1.57.0,104.0,azureml-sdk,,,,655.0,430693.0,31.0,,https://pypi.org/project/azureml-sdk,2024-08-05 21:53:53.000,31.0,430684.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +264,dyNET,clab/dynet,ml-frameworks,,https://github.com/clab/dynet,https://github.com/clab/dynet,Apache-2.0,2015-02-08 23:09:21.000,2023-12-01 17:10:01.000000,2023-11-08 12:40:01,3273.0,,704.0,184.0,737.0,277.0,669.0,3420.0,DyNet: The Dynamic Neural Network Toolkit.,160.0,31,True,2020-10-21 14:31:01.000,2.1.2,24.0,dyNET,,,,17117.0,304470.0,281.0,263.0,https://pypi.org/project/dyNET,2020-10-21 14:31:01.000,18.0,304292.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +265,filterpy,rlabbe/filterpy,probabilistics,,https://github.com/rlabbe/filterpy,https://github.com/rlabbe/filterpy,MIT,2014-07-15 02:15:19.000,2024-02-07 10:05:31.000000,2022-08-22 18:21:12,586.0,,616.0,77.0,78.0,73.0,162.0,3300.0,"Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman..",43.0,31,False,2021-12-15 15:49:27.374,0.0.13,49.0,filterpy,conda-forge/filterpy,,,,1709777.0,7263.0,7143.0,https://pypi.org/project/filterpy,2021-12-15 15:49:27.374,120.0,1706846.0,https://anaconda.org/conda-forge/filterpy,2023-06-16 13:24:39.196,258006.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +266,ImageHash,JohannesBuchner/imagehash,image,,https://github.com/JohannesBuchner/imagehash,https://github.com/JohannesBuchner/imagehash,BSD-2-Clause,2013-03-02 23:32:48.000,2024-09-22 17:07:53.000000,2024-09-22 17:07:50,342.0,3.0,329.0,65.0,76.0,20.0,123.0,3142.0,A Python Perceptual Image Hashing Module.,26.0,31,True,2022-09-28 08:48:24.658,4.3.1,20.0,ImageHash,conda-forge/imagehash,,,,1511575.0,14585.0,14344.0,https://pypi.org/project/ImageHash,2022-09-28 08:48:24.658,241.0,1507404.0,https://anaconda.org/conda-forge/imagehash,2023-06-16 13:23:10.041,396335.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +267,Determined,determined-ai/determined,ml-frameworks,,https://github.com/determined-ai/determined,https://github.com/determined-ai/determined,Apache-2.0,2020-04-07 16:12:29.000,2024-10-03 14:23:19.000000,2024-10-02 22:24:15,8240.0,312.0,347.0,83.0,9619.0,108.0,347.0,3001.0,"Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning,..",120.0,31,True,2024-09-30 15:28:11.000,0.37.0,589.0,determined,,https://docs.determined.ai,"['pytorch', 'tensorflow']",11525.0,22452.0,4.0,,https://pypi.org/project/determined,2024-09-30 15:49:23.000,4.0,22212.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +268,NeuralForecast,Nixtla/neuralforecast,time-series-data,,https://github.com/Nixtla/neuralforecast,https://github.com/Nixtla/neuralforecast,Apache-2.0,2021-04-26 00:15:19.000,2024-10-02 08:36:03.000000,2024-10-01 06:55:06,1190.0,33.0,341.0,35.0,531.0,109.0,431.0,2976.0,Scalable and user friendly neural forecasting algorithms.,48.0,31,True,2024-09-20 17:38:31.000,1.7.5,26.0,neuralforecast,conda-forge/neuralforecast,,,,42445.0,226.0,209.0,https://pypi.org/project/neuralforecast,2024-09-20 17:38:31.000,17.0,41714.0,https://anaconda.org/conda-forge/neuralforecast,2024-09-20 23:37:40.226,22687.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +269,tslearn,tslearn-team/tslearn,time-series-data,,https://github.com/tslearn-team/tslearn,https://github.com/tslearn-team/tslearn,BSD-2-Clause,2017-05-04 13:08:13.000,2024-07-26 07:25:11.554000,2024-07-01 04:53:53,1639.0,,336.0,59.0,194.0,135.0,196.0,2891.0,The machine learning toolkit for time series analysis in Python.,43.0,31,True,2023-12-12 14:39:23.000,0.6.3,100.0,tslearn,conda-forge/tslearn,,['sklearn'],,481413.0,1510.0,1431.0,https://pypi.org/project/tslearn,2023-12-12 14:39:23.000,79.0,454181.0,https://anaconda.org/conda-forge/tslearn,2024-07-26 07:25:11.554,1416076.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +270,Keras Tuner,keras-team/keras-tuner,hyperopt,,https://github.com/keras-team/keras-tuner,https://github.com/keras-team/keras-tuner,Apache-2.0,2019-06-06 22:38:21.000,2024-08-01 18:13:21.000000,2024-06-24 17:09:39,1087.0,,392.0,63.0,497.0,218.0,273.0,2848.0,A Hyperparameter Tuning Library for Keras.,61.0,31,True,2024-03-04 19:41:39.000,1.4.7,35.0,keras-tuner,conda-forge/keras-tuner,,['tensorflow'],,277690.0,4536.0,4421.0,https://pypi.org/project/keras-tuner,2024-03-04 19:41:39.000,115.0,276640.0,https://anaconda.org/conda-forge/keras-tuner,2024-03-05 15:33:09.039,39916.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +271,bt,pmorissette/bt,financial-data,,https://github.com/pmorissette/bt,https://github.com/pmorissette/bt,MIT,2014-06-19 16:06:28.000,2024-10-01 15:28:33.000000,2024-10-01 15:28:28,557.0,14.0,412.0,90.0,117.0,77.0,265.0,2218.0,bt - flexible backtesting for Python.,34.0,31,True,2024-08-06 13:46:05.000,1.1.0,28.0,bt,conda-forge/bt,,,,8916.0,1634.0,1624.0,https://pypi.org/project/bt,2024-08-06 00:08:14.000,10.0,7854.0,https://anaconda.org/conda-forge/bt,2024-09-21 21:55:35.462,44644.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +272,equinox,patrick-kidger/equinox,jax-utils,,https://github.com/patrick-kidger/equinox,https://github.com/patrick-kidger/equinox,Apache-2.0,2021-07-29 02:21:39.000,2024-10-01 16:51:28.000000,2024-10-01 16:51:23,947.0,34.0,135.0,23.0,431.0,155.0,290.0,2063.0,Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/.,55.0,31,True,2024-09-18 17:10:13.000,0.11.7,51.0,equinox,,,['jax'],,194272.0,892.0,736.0,https://pypi.org/project/equinox,2024-09-18 17:10:13.000,156.0,194272.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +273,torchrec,pytorch/torchrec,recommender-systems,,https://github.com/pytorch/torchrec,https://github.com/pytorch/torchrec,BSD-3-Clause,2021-07-12 23:15:48.000,2024-10-03 11:34:45.000000,2024-10-03 04:44:45,2149.0,205.0,408.0,32.0,2293.0,300.0,117.0,1889.0,Pytorch domain library for recommendation systems.,272.0,31,True,2024-07-23 18:00:18.000,0.8.0,77.0,torchrec-nightly-cpu,,,,,7230.0,139.0,139.0,https://pypi.org/project/torchrec-nightly-cpu,2022-05-12 18:55:21.000,,7230.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +274,GPflow,GPflow/GPflow,probabilistics,,https://github.com/GPflow/GPflow,https://github.com/GPflow/GPflow,Apache-2.0,2016-01-14 11:29:24.000,2024-10-03 15:48:48.000000,2024-06-14 08:51:32,2450.0,,435.0,76.0,1270.0,154.0,682.0,1834.0,Gaussian processes in TensorFlow.,84.0,31,True,2024-06-17 13:05:05.000,2.9.2,50.0,gpflow,conda-forge/gpflow,,['tensorflow'],,78750.0,722.0,687.0,https://pypi.org/project/gpflow,2024-06-17 13:05:05.000,35.0,77692.0,https://anaconda.org/conda-forge/gpflow,2024-06-26 16:24:01.852,33859.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +275,audiomentations,iver56/audiomentations,audio,,https://github.com/iver56/audiomentations,https://github.com/iver56/audiomentations,MIT,2019-02-12 16:36:24.000,2024-10-02 09:01:13.000000,2024-10-02 09:01:11,1255.0,59.0,186.0,21.0,176.0,47.0,137.0,1822.0,A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.,29.0,31,True,2024-09-03 07:35:15.000,0.37.0,41.0,audiomentations,,,,,48613.0,591.0,573.0,https://pypi.org/project/audiomentations,2024-09-03 07:35:15.000,18.0,48613.0,,,,2.0,,,,,,2.0,,,,,,,,,,,,,,,,,,, +276,pmdarima,alkaline-ml/pmdarima,time-series-data,,https://github.com/alkaline-ml/pmdarima,https://github.com/alkaline-ml/pmdarima,MIT,2017-03-30 14:58:30.000,2024-09-25 17:37:58.000000,2024-09-24 16:10:31,1080.0,1.0,232.0,35.0,255.0,62.0,273.0,1577.0,"A statistical library designed to fill the void in Pythons time series analysis capabilities, including the equivalent..",23.0,31,True,2023-10-23 16:52:00.000,2.0.4,44.0,pmdarima,conda-forge/pmdarima,,,,2479457.0,9524.0,9371.0,https://pypi.org/project/pmdarima,2023-10-23 14:02:41.000,153.0,2454869.0,https://anaconda.org/conda-forge/pmdarima,2024-07-14 16:03:51.778,1180230.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +277,lets-plot,JetBrains/lets-plot,data-viz,,https://github.com/JetBrains/lets-plot,https://github.com/JetBrains/lets-plot,MIT,2019-03-20 16:13:03.000,2024-10-03 15:06:53.000000,2024-10-03 13:26:57,4321.0,159.0,49.0,171.0,572.0,152.0,460.0,1553.0,Multiplatform plotting library based on the Grammar of Graphics.,21.0,31,True,2024-08-21 16:52:52.000,4.4.1,78.0,lets-plot,,,,1052.0,30134.0,138.0,125.0,https://pypi.org/project/lets-plot,2024-08-21 16:33:28.000,13.0,30117.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +278,pyjanitor,pyjanitor-devs/pyjanitor,others,,https://github.com/pyjanitor-devs/pyjanitor,https://github.com/pyjanitor-devs/pyjanitor,MIT,2018-03-04 22:43:33.000,2024-10-02 09:51:38.000000,2024-10-02 09:49:17,1611.0,32.0,167.0,18.0,842.0,110.0,455.0,1348.0,Clean APIs for data cleaning. Python implementation of R package Janitor.,109.0,31,True,2024-09-28 19:45:17.000,0.29.2,65.0,pyjanitor,conda-forge/pyjanitor,,,,90775.0,747.0,715.0,https://pypi.org/project/pyjanitor,2024-09-28 19:45:12.000,32.0,86764.0,https://anaconda.org/conda-forge/pyjanitor,2024-09-28 23:43:58.175,212606.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +279,scikit-survival,sebp/scikit-survival,sklearn-utils,,https://github.com/sebp/scikit-survival,https://github.com/sebp/scikit-survival,GPL-3.0,2016-12-26 22:15:53.000,2024-09-25 20:47:09.000000,2024-09-25 20:47:05,1143.0,12.0,211.0,23.0,150.0,24.0,199.0,1121.0,Survival analysis built on top of scikit-learn.,21.0,31,False,2024-06-30 09:36:26.000,0.23.0,29.0,scikit-survival,conda-forge/scikit-survival,,['sklearn'],,134066.0,628.0,595.0,https://pypi.org/project/scikit-survival,2024-06-30 09:36:26.000,33.0,129820.0,https://anaconda.org/conda-forge/scikit-survival,2024-06-30 11:16:56.800,148617.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +280,hvPlot,holoviz/hvplot,data-viz,,https://github.com/holoviz/hvplot,https://github.com/holoviz/hvplot,BSD-3-Clause,2018-03-19 14:22:41.000,2024-10-03 00:29:52.000000,2024-09-30 07:51:07,720.0,29.0,105.0,25.0,577.0,357.0,450.0,1089.0,"A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews.",49.0,31,True,2024-09-27 16:52:43.000,0.11.0,76.0,hvplot,conda-forge/hvplot,,,,233163.0,6061.0,5859.0,https://pypi.org/project/hvplot,2024-09-27 13:31:34.000,202.0,220766.0,https://anaconda.org/conda-forge/hvplot,2024-09-30 07:58:27.071,644681.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +281,pyopencl,inducer/pyopencl,others,,https://github.com/inducer/pyopencl,https://github.com/inducer/pyopencl,MIT,2011-04-06 02:51:33.000,2024-08-30 16:16:32.000000,2024-08-30 16:16:31,3374.0,9.0,239.0,50.0,406.0,74.0,277.0,1057.0,"OpenCL integration for Python, plus shiny features.",96.0,31,True,2024-06-25 02:02:14.000,2024.2.7,102.0,pyopencl,conda-forge/pyopencl,,,,98993.0,2206.0,2033.0,https://pypi.org/project/pyopencl,2024-06-25 02:02:14.000,173.0,74042.0,https://anaconda.org/conda-forge/pyopencl,2024-06-26 04:14:07.618,1297465.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +282,Hail,hail-is/hail,medical-data,,https://github.com/hail-is/hail,https://github.com/hail-is/hail,MIT,2015-10-27 20:55:42.000,2024-10-02 17:44:20.000000,2024-10-02 17:44:19,11569.0,49.0,241.0,56.0,12286.0,239.0,2212.0,975.0,Cloud-native genomic dataframes and batch computing.,95.0,31,True,2024-08-12 18:22:08.000,0.2.130.post1,154.0,hail,,,['spark'],,51577.0,177.0,143.0,https://pypi.org/project/hail,2024-08-08 16:40:33.000,34.0,51577.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +283,mpi4py,mpi4py/mpi4py,distributed-ml,,https://github.com/mpi4py/mpi4py,https://github.com/mpi4py/mpi4py,BSD-3-Clause,2013-09-05 14:44:25.000,2024-10-02 08:27:02.000000,2024-10-01 10:58:50,3192.0,48.0,118.0,17.0,309.0,6.0,170.0,798.0,Python bindings for MPI.,27.0,31,True,2024-07-28 09:41:14.000,4.0.0,29.0,mpi4py,conda-forge/mpi4py,,,27007.0,860725.0,741.0,,https://pypi.org/project/mpi4py,2024-07-28 09:41:14.000,741.0,798813.0,https://anaconda.org/conda-forge/mpi4py,2024-09-04 08:05:36.172,2946401.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +284,tensorflow-upstream,ROCmSoftwarePlatform/tensorflow-upstream,ml-frameworks,,https://github.com/ROCm/tensorflow-upstream,https://github.com/ROCm/tensorflow-upstream,Apache-2.0,2018-04-09 21:24:50.000,2024-10-02 20:13:22.000000,2024-10-01 09:06:18,174406.0,3301.0,93.0,50.0,2319.0,91.0,286.0,684.0,TensorFlow ROCm port.,4714.0,31,True,2022-12-06 16:42:53.965,2.9.4,100.0,tensorflow-rocm,,,['tensorflow'],24.0,5373.0,9.0,,https://pypi.org/project/tensorflow-rocm,2024-01-10 14:33:03.000,9.0,5373.0,,,,3.0,,,,,,,,ROCm/tensorflow-upstream,,,,,,,,,,,,,,,,, +285,Cython BLIS,explosion/cython-blis,others,,https://github.com/explosion/cython-blis,https://github.com/explosion/cython-blis,BSD-3-Clause,2017-10-15 09:56:16.000,2024-09-13 08:21:34.000000,2024-09-12 22:24:23,593.0,22.0,38.0,10.0,75.0,10.0,26.0,218.0,Fast matrix-multiplication as a self-contained Python library no system dependencies!.,14.0,31,False,2024-09-13 08:21:34.000,1.0.1,49.0,blis,conda-forge/cython-blis,,,180.0,11431546.0,49505.0,49404.0,https://pypi.org/project/blis,2024-09-13 08:21:34.000,101.0,11384934.0,https://anaconda.org/conda-forge/cython-blis,2023-10-01 08:59:57.840,2283907.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +286,CNTK,microsoft/CNTK,ml-frameworks,,https://github.com/microsoft/CNTK,https://github.com/microsoft/CNTK,MIT,2015-11-26 09:52:06.000,2023-03-11 07:31:35.000000,2022-09-23 14:06:50,16117.0,,4286.0,1250.0,557.0,840.0,2543.0,17506.0,"Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit.",274.0,30,False,2019-04-26 14:13:32.000,2.7,32.0,cntk,,,,14704.0,1128.0,5.0,2.0,https://pypi.org/project/cntk,2020-12-09 22:21:57.000,3.0,988.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +287,Qlib,microsoft/qlib,financial-data,,https://github.com/microsoft/qlib,https://github.com/microsoft/qlib,MIT,2020-08-14 06:46:00.000,2024-09-12 15:44:41.000000,2024-09-12 15:44:27,1995.0,7.0,2583.0,298.0,938.0,238.0,690.0,15279.0,"Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and..",134.0,30,True,2024-05-24 08:18:55.000,0.9.5,34.0,pyqlib,,,['pytorch'],719.0,3283.0,22.0,21.0,https://pypi.org/project/pyqlib,2024-05-24 08:18:55.000,1.0,3269.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +288,Apex,NVIDIA/apex,gpu-utilities,,https://github.com/NVIDIA/apex,https://github.com/NVIDIA/apex,BSD-3-Clause,2018-04-23 16:28:52.000,2024-09-28 02:49:12.000000,2024-09-28 02:45:37,1186.0,9.0,1387.0,100.0,659.0,729.0,526.0,8330.0,A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch.,129.0,30,True,,,4.0,,conda-forge/nvidia-apex,,['pytorch'],,6681.0,2738.0,2738.0,,,,,https://anaconda.org/conda-forge/nvidia-apex,2024-09-10 09:10:05.964,320691.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +289,pyfolio,quantopian/pyfolio,financial-data,,https://github.com/quantopian/pyfolio,https://github.com/quantopian/pyfolio,Apache-2.0,2015-06-01 15:31:39.000,2023-12-23 06:14:58.000000,2020-07-15 13:46:58,1184.0,,1760.0,303.0,296.0,161.0,267.0,5641.0,Portfolio and risk analytics in Python.,60.0,30,False,2019-04-15 15:00:21.000,0.9.2,22.0,pyfolio,conda-forge/pyfolio,,,,7717.0,1088.0,1074.0,https://pypi.org/project/pyfolio,2019-04-15 15:00:21.000,14.0,7544.0,https://anaconda.org/conda-forge/pyfolio,2023-06-16 16:07:59.111,13919.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +290,pandas-ta,twopirllc/pandas-ta,probabilistics,,https://github.com/twopirllc/pandas-ta,https://github.com/twopirllc/pandas-ta,MIT,2019-02-19 16:41:09.000,2024-07-28 06:06:31.000000,2024-06-24 00:50:16,586.0,,1027.0,107.0,250.0,114.0,479.0,5273.0,Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 150+ Indicators.,45.0,30,True,2021-07-28 20:21:21.000,0.3.14,19.0,pandas-ta,conda-forge/pandas-ta,,['pandas'],,177148.0,4327.0,4207.0,https://pypi.org/project/pandas-ta,2021-07-28 20:51:17.000,120.0,176540.0,https://anaconda.org/conda-forge/pandas-ta,2023-06-16 19:27:34.124,21911.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +291,gpustat,wookayin/gpustat,gpu-utilities,,https://github.com/wookayin/gpustat,https://github.com/wookayin/gpustat,MIT,2016-04-24 10:46:43.000,2024-08-08 18:40:13.000000,2024-01-12 14:48:30,249.0,,280.0,44.0,51.0,28.0,97.0,4024.0,A simple command-line utility for querying and monitoring GPU status.,17.0,30,True,2023-08-22 19:40:33.000,1.1.1,15.0,gpustat,conda-forge/gpustat,,,,644776.0,6179.0,6029.0,https://pypi.org/project/gpustat,2023-08-22 19:39:06.000,150.0,638544.0,https://anaconda.org/conda-forge/gpustat,2023-08-23 10:35:25.821,292924.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +292,Porcupine,Picovoice/Porcupine,audio,,https://github.com/Picovoice/porcupine,https://github.com/Picovoice/porcupine,Apache-2.0,2018-03-08 01:55:25.000,2024-09-27 18:07:36.000000,2024-09-27 18:07:34,1237.0,18.0,496.0,64.0,759.0,3.0,549.0,3707.0,On-device wake word detection powered by deep learning.,38.0,30,True,2024-08-27 00:05:29.000,3.0.3,35.0,pvporcupine,,,,,11381.0,69.0,34.0,https://pypi.org/project/pvporcupine,2024-08-27 00:05:29.000,35.0,11381.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +293,implicit,benfred/implicit,recommender-systems,,https://github.com/benfred/implicit,https://github.com/benfred/implicit,MIT,2016-04-17 03:45:23.000,2024-08-23 13:53:47.619000,2023-11-21 21:15:59,435.0,,605.0,77.0,231.0,89.0,406.0,3533.0,Fast Python Collaborative Filtering for Implicit Feedback Datasets.,35.0,30,True,2023-09-29 21:07:11.000,0.7.2,47.0,implicit,conda-forge/implicit,,,1418.0,320771.0,1519.0,1490.0,https://pypi.org/project/implicit,2023-09-29 21:07:11.000,29.0,303086.0,https://anaconda.org/conda-forge/implicit,2024-08-23 13:53:47.619,864537.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +294,TextDistance,life4/textdistance,nlp,,https://github.com/life4/textdistance,https://github.com/life4/textdistance,MIT,2017-05-05 08:46:10.000,2024-09-09 06:24:01.000000,2024-09-09 06:24:01,415.0,9.0,248.0,64.0,56.0,9.0,,3367.0,"Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external..",17.0,30,True,2024-07-16 09:36:19.000,4.6.3,29.0,textdistance,conda-forge/textdistance,,,1036.0,916168.0,7223.0,7124.0,https://pypi.org/project/textdistance,2024-07-16 09:34:51.000,99.0,902721.0,https://anaconda.org/conda-forge/textdistance,2024-07-17 15:04:16.210,631479.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +295,hmmlearn,hmmlearn/hmmlearn,probabilistics,,https://github.com/hmmlearn/hmmlearn,https://github.com/hmmlearn/hmmlearn,BSD-3-Clause,2014-03-23 10:33:09.000,2024-09-23 10:52:39.000000,2024-09-23 10:52:39,478.0,2.0,737.0,121.0,127.0,69.0,371.0,3033.0,"Hidden Markov Models in Python, with scikit-learn like API.",49.0,30,True,2024-03-02 03:05:38.000,0.3.2,13.0,hmmlearn,conda-forge/hmmlearn,,['sklearn'],,692638.0,2886.0,2799.0,https://pypi.org/project/hmmlearn,2024-03-02 03:05:38.000,87.0,686911.0,https://anaconda.org/conda-forge/hmmlearn,2024-09-11 23:07:53.942,280662.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +296,Haiku,deepmind/dm-haiku,ml-frameworks,,https://github.com/google-deepmind/dm-haiku,https://github.com/google-deepmind/dm-haiku,Apache-2.0,2020-02-18 07:14:02.000,2024-10-03 02:29:44.000000,2024-09-25 08:37:49,986.0,4.0,233.0,37.0,545.0,75.0,175.0,2866.0,JAX-based neural network library.,83.0,30,True,2024-02-28 18:11:54.000,0.0.12,15.0,dm-haiku,conda-forge/dm-haiku,,,,236926.0,2230.0,2063.0,https://pypi.org/project/dm-haiku,2024-02-28 18:11:54.000,167.0,236426.0,https://anaconda.org/conda-forge/dm-haiku,2024-02-28 22:18:23.853,22001.0,3.0,,,,,,,,google-deepmind/dm-haiku,,,,,,,,,,,,,,,,, +297,shapash,MAIF/shapash,interpretability,,https://github.com/MAIF/shapash,https://github.com/MAIF/shapash,Apache-2.0,2020-04-29 07:34:23.000,2024-09-17 14:57:15.000000,2024-09-17 14:57:14,1646.0,17.0,329.0,37.0,349.0,36.0,169.0,2717.0,Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models.,38.0,30,True,2024-07-04 10:21:38.000,2.6.0,42.0,shapash,,,['jupyter'],,26480.0,177.0,173.0,https://pypi.org/project/shapash,2024-07-04 10:21:38.000,4.0,26480.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +298,USearch,unum-cloud/usearch,nn-search,,https://github.com/unum-cloud/usearch,https://github.com/unum-cloud/usearch,Apache-2.0,2023-02-22 09:20:20.000,2024-09-28 05:29:21.000000,2024-09-28 04:31:20,1853.0,112.0,128.0,26.0,351.0,53.0,105.0,2150.0,"Fast Open-Source Search & Clustering engine for Vectors & Strings in C++, C, Python, JavaScript, Rust, Java,..",53.0,30,True,2024-09-28 05:29:21.000,2.15.2,124.0,usearch,,,,26480.0,170692.0,158.0,123.0,https://pypi.org/project/usearch,2024-09-28 05:29:21.000,21.0,160808.0,,,,3.0,unum/usearch,https://hub.docker.com/r/unum/usearch,2024-09-28 04:33:06.403413,1.0,131.0,,,,usearch,https://www.npmjs.com/package/usearch,2024-09-28 04:36:18.652,14.0,8223.0,,,,,,,,,,,, +299,pygraphistry,graphistry/pygraphistry,graph,,https://github.com/graphistry/pygraphistry,https://github.com/graphistry/pygraphistry,BSD-3-Clause,2015-06-02 20:28:42.000,2024-10-03 10:15:39.000000,2024-09-23 23:49:58,1603.0,97.0,204.0,50.0,271.0,171.0,163.0,2134.0,"PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated..",44.0,30,True,2024-09-23 23:49:09.000,0.34.5,182.0,graphistry,,,['jupyter'],,5470.0,124.0,118.0,https://pypi.org/project/graphistry,2024-09-23 23:49:09.000,6.0,5470.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +300,tesserocr,sirfz/tesserocr,ocr,,https://github.com/sirfz/tesserocr,https://github.com/sirfz/tesserocr,MIT,2015-12-17 23:29:36.000,2024-09-13 13:36:57.070000,2024-08-26 17:26:56,210.0,1.0,254.0,56.0,78.0,50.0,229.0,1997.0,A Python wrapper for the tesseract-ocr API.,30.0,30,True,2024-08-26 20:21:57.000,2.7.1,22.0,tesserocr,conda-forge/tesserocr,,,570.0,101478.0,1127.0,1091.0,https://pypi.org/project/tesserocr,2024-08-26 20:21:57.000,36.0,97932.0,https://anaconda.org/conda-forge/tesserocr,2024-09-13 13:36:57.070,180627.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +301,ViZDoom,mwydmuch/ViZDoom,reinforcement-learning,,https://github.com/Farama-Foundation/ViZDoom,https://github.com/Farama-Foundation/ViZDoom,MIT,2015-06-26 18:38:23.000,2024-09-08 19:48:30.000000,2024-09-08 00:19:34,1851.0,42.0,377.0,50.0,136.0,38.0,426.0,1723.0,Reinforcement Learning environments based on the 1993 game Doom.,55.0,30,True,2024-08-20 10:48:59.000,1.2.4,30.0,vizdoom,,,,12015.0,2632.0,283.0,268.0,https://pypi.org/project/vizdoom,2024-08-20 10:48:59.000,15.0,2516.0,,,,1.0,,,,,,,,Farama-Foundation/ViZDoom,,,,,,,,,,,,,,,,, +302,PyKEEN,pykeen/pykeen,graph,,https://github.com/pykeen/pykeen,https://github.com/pykeen/pykeen,MIT,2020-02-24 07:26:03.000,2024-10-03 11:56:59.000000,2024-10-03 11:41:49,2867.0,33.0,183.0,27.0,707.0,118.0,457.0,1633.0,A Python library for learning and evaluating knowledge graph embeddings.,41.0,30,True,2024-02-19 21:29:27.000,1.10.2,47.0,pykeen,,,,213.0,8912.0,248.0,242.0,https://pypi.org/project/pykeen,2024-02-19 21:25:43.000,6.0,8908.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +303,emcee,dfm/emcee,probabilistics,,https://github.com/dfm/emcee,https://github.com/dfm/emcee,MIT,2011-11-07 16:17:08.000,2024-10-01 04:43:39.000000,2024-09-07 12:53:56,949.0,1.0,431.0,86.0,234.0,57.0,241.0,1461.0,The Python ensemble sampling toolkit for affine-invariant MCMC.,74.0,30,True,2024-04-19 10:03:17.000,3.1.6,27.0,emcee,conda-forge/emcee,,,,1285652.0,3060.0,2622.0,https://pypi.org/project/emcee,2024-04-19 10:03:17.000,438.0,1276642.0,https://anaconda.org/conda-forge/emcee,2024-04-22 14:43:59.507,360420.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +304,arch,bashtage/arch,financial-data,,https://github.com/bashtage/arch,https://github.com/bashtage/arch,,2014-08-29 15:41:28.000,2024-10-01 14:33:45.000000,2024-10-01 14:33:45,1137.0,8.0,247.0,48.0,535.0,31.0,185.0,1328.0,ARCH models in Python.,35.0,30,False,2024-09-24 09:58:38.000,7.1.0,48.0,arch,conda-forge/arch-py,,,,344925.0,2060.0,1953.0,https://pypi.org/project/arch,2024-09-24 09:58:38.000,107.0,337180.0,https://anaconda.org/conda-forge/arch-py,2024-09-24 16:15:26.723,402742.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +305,Geomstats,geomstats/geomstats,ml-frameworks,,https://github.com/geomstats/geomstats,https://github.com/geomstats/geomstats,MIT,2017-10-25 00:44:57.000,2024-09-10 11:38:37.614000,2024-09-09 16:59:27,10782.0,41.0,245.0,38.0,1504.0,208.0,353.0,1244.0,Computations and statistics on manifolds with geometric structures.,92.0,30,True,2024-09-09 17:46:06.000,2.8.0,33.0,geomstats,conda-forge/geomstats,https://geomstats.github.io/,,,3538.0,134.0,122.0,https://pypi.org/project/geomstats,2024-09-09 17:41:39.000,12.0,3406.0,https://anaconda.org/conda-forge/geomstats,2024-09-10 11:38:37.614,3701.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +306,patsy,pydata/patsy,probabilistics,,https://github.com/pydata/patsy,https://github.com/pydata/patsy,BSD-2-Clause,2012-07-10 12:30:06.000,2024-06-14 11:34:14.000000,2024-01-04 18:54:38,558.0,,103.0,33.0,61.0,72.0,82.0,944.0,Describing statistical models in Python using symbolic formulas.,19.0,30,True,2024-01-04 18:58:03.000,0.5.6,13.0,patsy,conda-forge/patsy,,,,15962165.0,106311.0,105784.0,https://pypi.org/project/patsy,2024-01-04 18:55:57.000,527.0,15631876.0,https://anaconda.org/conda-forge/patsy,2024-01-05 15:46:09.327,12220723.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +307,CellProfiler,CellProfiler/CellProfiler,image,,https://github.com/CellProfiler/CellProfiler,https://github.com/CellProfiler/CellProfiler,BSD-3-Clause,2011-04-05 12:10:12.000,2024-09-27 19:27:52.000000,2024-09-24 16:01:52,16653.0,73.0,377.0,45.0,1649.0,306.0,2981.0,899.0,An open-source application for biological image analysis.,144.0,30,True,2024-09-27 21:18:50.000,4.2.8,35.0,cellprofiler,,,,7803.0,1478.0,24.0,22.0,https://pypi.org/project/cellprofiler,2024-09-16 19:44:11.000,2.0,1418.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +308,snowballstemmer,snowballstem/snowball,nlp,,https://github.com/snowballstem/snowball,https://github.com/snowballstem/snowball,BSD-3-Clause,2013-02-23 07:17:42.000,2024-09-10 22:31:48.000000,2024-09-10 22:30:54,1084.0,11.0,174.0,35.0,117.0,27.0,62.0,756.0,Snowball compiler and stemming algorithms.,34.0,30,True,2021-11-16 18:38:34.000,2.2.0,10.0,snowballstemmer,conda-forge/snowballstemmer,,,,22928854.0,459.0,10.0,https://pypi.org/project/snowballstemmer,2021-11-16 18:38:34.000,449.0,22840320.0,https://anaconda.org/conda-forge/snowballstemmer,2023-06-16 13:16:49.834,8676361.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +309,TensorFlow I/O,tensorflow/io,tensorflow-utils,,https://github.com/tensorflow/io,https://github.com/tensorflow/io,Apache-2.0,2018-11-09 22:44:05.000,2024-09-30 19:36:58.000000,2024-07-01 21:47:36,1690.0,,283.0,42.0,1421.0,290.0,371.0,702.0,"Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO.",109.0,30,True,2024-07-01 23:45:56.000,0.37.1,45.0,tensorflow-io,,,['tensorflow'],,1500082.0,61.0,,https://pypi.org/project/tensorflow-io,2024-07-01 23:43:17.000,61.0,1500082.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +310,audioread,beetbox/audioread,audio,,https://github.com/beetbox/audioread,https://github.com/beetbox/audioread,MIT,2011-11-08 19:53:18.000,2024-09-03 10:05:52.331000,2023-12-15 12:50:52,282.0,,107.0,25.0,53.0,37.0,57.0,483.0,cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding for Python.,25.0,30,True,2023-09-27 19:27:51.000,3.0.1,27.0,audioread,conda-forge/audioread,,,,2132990.0,24387.0,24252.0,https://pypi.org/project/audioread,2023-09-27 19:27:51.000,135.0,2114833.0,https://anaconda.org/conda-forge/audioread,2024-09-03 10:05:52.331,871556.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +311,baselines,openai/baselines,reinforcement-learning,,https://github.com/openai/baselines,https://github.com/openai/baselines,MIT,2017-05-24 01:58:13.000,2024-08-01 21:31:33.000000,2020-01-31 13:06:18,347.0,,4862.0,647.0,375.0,504.0,436.0,15682.0,OpenAI Baselines: high-quality implementations of reinforcement learning algorithms.,115.0,29,False,2018-02-26 17:07:07.000,0.1.5,6.0,baselines,,,,,1063.0,585.0,582.0,https://pypi.org/project/baselines,2018-02-26 17:07:07.000,3.0,1063.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +312,backtrader,mementum/backtrader,financial-data,,https://github.com/mementum/backtrader,https://github.com/mementum/backtrader,GPL-3.0,2015-01-10 07:14:52.000,2024-08-19 17:47:36.000000,2023-04-19 14:13:08,2404.0,,3836.0,609.0,231.0,51.0,,14121.0,Python Backtesting library for trading strategies.,56.0,29,False,,,157.0,backtrader,,,,,38269.0,2383.0,2309.0,https://pypi.org/project/backtrader,2023-04-19 14:15:00.742,74.0,38269.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +313,PaddleDetection,PaddlePaddle/PaddleDetection,image,,https://github.com/PaddlePaddle/PaddleDetection,https://github.com/PaddlePaddle/PaddleDetection,Apache-2.0,2019-10-25 07:21:14.000,2024-09-30 23:13:38.000000,2024-09-30 23:13:38,2289.0,28.0,2847.0,197.0,3737.0,1237.0,4182.0,12646.0,"Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object..",180.0,29,True,2023-10-19 03:47:18.000,2.7.0,9.0,paddledet,,,['paddle'],,454.0,2.0,,https://pypi.org/project/paddledet,2022-09-19 20:42:09.271,2.0,454.0,,,,2.0,,,,,,2.0,,,,,,,,,,,,,,,,,,, +314,pretrainedmodels,Cadene/pretrained-models.pytorch,pytorch-utils,,https://github.com/Cadene/pretrained-models.pytorch,https://github.com/Cadene/pretrained-models.pytorch,BSD-3-Clause,2017-04-09 15:54:23.000,2023-06-16 19:20:12.183000,2020-04-16 08:02:22,154.0,,1834.0,214.0,46.0,101.0,94.0,9019.0,"Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.",22.0,29,False,2018-10-29 08:18:45.000,0.7.4,16.0,pretrainedmodels,conda-forge/pretrainedmodels,,['pytorch'],,137043.0,86.0,20.0,https://pypi.org/project/pretrainedmodels,2018-10-29 08:18:45.000,66.0,136229.0,https://anaconda.org/conda-forge/pretrainedmodels,2023-06-16 19:20:12.183,42357.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +315,DoWhy,py-why/dowhy,interpretability,,https://github.com/py-why/dowhy,https://github.com/py-why/dowhy,MIT,2018-05-31 13:07:04.000,2024-10-03 14:24:22.000000,2024-10-03 14:24:22,1041.0,18.0,911.0,137.0,733.0,132.0,343.0,7037.0,DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions...,92.0,29,True,2023-12-25 07:11:09.000,0.11.1,15.0,dowhy,conda-forge/dowhy,,,40.0,54454.0,433.0,426.0,https://pypi.org/project/dowhy,2023-12-25 07:11:09.000,7.0,54454.0,https://anaconda.org/conda-forge/dowhy,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +316,CleverHans,cleverhans-lab/cleverhans,adversarial,,https://github.com/cleverhans-lab/cleverhans,https://github.com/cleverhans-lab/cleverhans,MIT,2016-09-15 00:28:04.000,2024-04-10 13:26:10.000000,2023-01-31 19:40:04,3203.0,,1389.0,189.0,786.0,45.0,423.0,6170.0,"An adversarial example library for constructing attacks, building defenses, and benchmarking both.",132.0,29,False,2021-07-24 08:53:21.000,4.0.0,8.0,cleverhans,conda-forge/cleverhans,,['tensorflow'],,2002.0,759.0,752.0,https://pypi.org/project/cleverhans,2021-07-24 08:53:21.000,7.0,1831.0,https://anaconda.org/conda-forge/cleverhans,2023-06-16 19:20:32.486,8935.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +317,GluonCV,dmlc/gluon-cv,image,,https://github.com/dmlc/gluon-cv,https://github.com/dmlc/gluon-cv,Apache-2.0,2018-02-26 01:33:21.000,2024-04-19 02:47:07.000000,2023-01-19 00:37:33,900.0,,1212.0,153.0,952.0,58.0,788.0,5816.0,Gluon CV Toolkit.,119.0,29,False,2022-03-07 23:40:19.000,0.10.5,1535.0,gluoncv,,,['mxnet'],,73979.0,76.0,21.0,https://pypi.org/project/gluoncv,2023-02-03 18:46:00.371,55.0,73979.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +318,SynapseML,microsoft/SynapseML,distributed-ml,,https://github.com/microsoft/SynapseML,https://github.com/microsoft/SynapseML,MIT,2017-06-05 08:23:44.000,2024-10-01 23:10:08.000000,2024-09-10 16:49:55,1635.0,25.0,830.0,145.0,1563.0,371.0,403.0,5054.0,Simple and Distributed Machine Learning.,120.0,29,True,2024-08-30 02:16:51.000,1.0.5,51.0,synapseml,,,,,245473.0,5.0,,https://pypi.org/project/synapseml,2024-08-30 02:13:37.000,5.0,245473.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +319,causalml,uber/causalml,others,,https://github.com/uber/causalml,https://github.com/uber/causalml,Apache-2.0,2019-07-09 02:08:58.000,2024-10-01 06:25:01.000000,2024-10-01 03:37:26,624.0,8.0,770.0,84.0,351.0,55.0,341.0,5014.0,Uplift modeling and causal inference with machine learning algorithms.,64.0,29,True,2024-10-01 06:25:01.000,0.15.2,25.0,causalml,,,,,49106.0,223.0,221.0,https://pypi.org/project/causalml,2024-10-01 06:25:01.000,2.0,49106.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +320,D-Tale,man-group/dtale,data-viz,,https://github.com/man-group/dtale,https://github.com/man-group/dtale,LGPL-2.1,2019-07-15 09:34:48.000,2024-09-10 15:55:41.876000,2024-09-10 14:13:20,813.0,8.0,396.0,74.0,297.0,60.0,529.0,4724.0,Visualizer for pandas data structures.,30.0,29,True,2024-09-10 15:24:26.000,3.14.1,186.0,dtale,conda-forge/dtale,,"['pandas', 'jupyter']",,46022.0,1268.0,1224.0,https://pypi.org/project/dtale,2024-09-10 15:17:39.000,44.0,39700.0,https://anaconda.org/conda-forge/dtale,2024-09-10 15:55:41.876,335081.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +321,GluonTS,awslabs/gluon-ts,time-series-data,,https://github.com/awslabs/gluonts,https://github.com/awslabs/gluonts,Apache-2.0,2019-05-15 17:17:29.000,2024-08-06 20:03:27.000000,2024-07-25 12:17:22,1473.0,2.0,744.0,75.0,1815.0,325.0,634.0,4567.0,Probabilistic time series modeling in Python.,117.0,29,True,2024-06-03 07:20:43.000,0.15.1,110.0,gluonts,anaconda/gluonts,,['mxnet'],,573392.0,31.0,,https://pypi.org/project/gluonts,2024-06-03 07:20:43.000,31.0,573366.0,https://anaconda.org/anaconda/gluonts,2023-12-22 09:31:03.436,955.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +322,nlpaug,makcedward/nlpaug,nlp,,https://github.com/makcedward/nlpaug,https://github.com/makcedward/nlpaug,MIT,2019-03-21 03:00:17.000,2024-06-24 09:15:15.000000,2022-07-07 05:16:43,738.0,,457.0,42.0,126.0,75.0,154.0,4415.0,Data augmentation for NLP.,33.0,29,False,2022-07-07 05:24:14.000,1.1.11,37.0,nlpaug,conda-forge/nlpaug,,,,129994.0,1449.0,1384.0,https://pypi.org/project/nlpaug,2022-07-07 05:23:07.000,65.0,129365.0,https://anaconda.org/conda-forge/nlpaug,2023-06-16 19:26:38.185,25176.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +323,ta,bukosabino/ta,financial-data,,https://github.com/bukosabino/ta,https://github.com/bukosabino/ta,MIT,2018-01-02 18:08:48.000,2024-07-17 04:40:56.000000,2023-11-02 13:49:44,662.0,,874.0,148.0,132.0,136.0,104.0,4270.0,Technical Analysis Library using Pandas and Numpy.,34.0,29,True,2023-11-02 13:53:35.000,0.11.0,56.0,ta,conda-forge/ta,,,,186116.0,4262.0,4159.0,https://pypi.org/project/ta,2023-11-02 13:53:35.000,103.0,185446.0,https://anaconda.org/conda-forge/ta,2023-11-02 22:03:30.766,29496.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +324,Alpha Vantage,RomelTorres/alpha_vantage,financial-data,,https://github.com/RomelTorres/alpha_vantage,https://github.com/RomelTorres/alpha_vantage,MIT,2017-04-29 17:23:00.000,2024-08-09 13:30:50.391000,2024-07-18 16:46:48,557.0,15.0,735.0,175.0,90.0,1.0,288.0,4247.0,A python wrapper for Alpha Vantage API for financial data.,44.0,29,True,2024-07-18 14:29:16.000,3.0.0,35.0,alpha_vantage,conda-forge/alpha_vantage,,,,36701.0,35.0,,https://pypi.org/project/alpha_vantage,2024-07-18 14:29:16.000,35.0,36535.0,https://anaconda.org/conda-forge/alpha_vantage,2024-08-09 13:30:50.391,7481.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +325,sahi,obss/sahi,image,,https://github.com/obss/sahi,https://github.com/obss/sahi,MIT,2021-01-30 12:54:53.000,2024-08-27 11:49:25.000000,2024-08-27 11:02:25,515.0,4.0,568.0,43.0,541.0,14.0,,3991.0,Framework agnostic sliced/tiled inference + interactive ui + error analysis plots.,48.0,29,True,2024-08-27 11:49:25.000,0.11.19,103.0,sahi,conda-forge/sahi,,,27604.0,183423.0,1395.0,1369.0,https://pypi.org/project/sahi,2024-07-10 10:19:56.000,26.0,180759.0,https://anaconda.org/conda-forge/sahi,2024-07-24 03:28:58.170,73367.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +326,missingno,ResidentMario/missingno,data-viz,,https://github.com/ResidentMario/missingno,https://github.com/ResidentMario/missingno,MIT,2016-03-27 15:18:50.000,2024-05-14 18:30:13.000000,2023-02-26 20:07:33,189.0,,515.0,77.0,38.0,14.0,121.0,3913.0,Missing data visualization module for Python.,18.0,29,False,2023-02-26 20:11:59.371,0.5.2,26.0,missingno,conda-forge/missingno,,,,273585.0,18223.0,18101.0,https://pypi.org/project/missingno,2023-02-26 20:11:59.371,122.0,221834.0,https://anaconda.org/conda-forge/missingno,2024-03-02 01:06:27.711,362259.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +327,NeuralProphet,ourownstory/neural_prophet,time-series-data,,https://github.com/ourownstory/neural_prophet,https://github.com/ourownstory/neural_prophet,MIT,2020-05-04 05:12:43.000,2024-09-16 21:51:17.000000,2024-09-13 01:42:25,1464.0,22.0,469.0,55.0,823.0,58.0,496.0,3829.0,NeuralProphet: A simple forecasting package.,56.0,29,True,2024-06-21 07:42:22.000,0.9.0,36.0,neuralprophet,,,['pytorch'],,136444.0,8.0,,https://pypi.org/project/neuralprophet,2024-06-26 23:51:51.000,8.0,136444.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +328,anomalib,openvinotoolkit/anomalib,others,,https://github.com/openvinotoolkit/anomalib,https://github.com/openvinotoolkit/anomalib,Apache-2.0,2021-11-02 09:11:38.000,2024-10-03 14:20:39.000000,2024-10-03 14:20:38,681.0,30.0,646.0,38.0,961.0,122.0,776.0,3684.0,"An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-..",81.0,29,True,2024-08-12 12:57:29.000,1.1.1,32.0,anomalib,,,,13958.0,46217.0,101.0,96.0,https://pypi.org/project/anomalib,2024-08-12 12:57:52.000,5.0,45807.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +329,doctr,mindee/doctr,image,,https://github.com/mindee/doctr,https://github.com/mindee/doctr,Apache-2.0,2021-01-08 16:05:12.000,2024-10-01 08:56:34.000000,2024-10-01 08:42:24,886.0,14.0,416.0,43.0,975.0,38.0,332.0,3667.0,"docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by..",51.0,29,True,2024-08-08 14:03:10.000,0.9.0,16.0,python-doctr,,,"['tensorflow', 'pytorch']",3823654.0,136735.0,12.0,,https://pypi.org/project/python-doctr,2024-08-08 14:03:10.000,12.0,49834.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +330,bqplot,bqplot/bqplot,data-viz,,https://github.com/bqplot/bqplot,https://github.com/bqplot/bqplot,Apache-2.0,2015-09-26 04:02:18.000,2024-09-09 07:33:42.000000,2024-09-09 07:33:42,3663.0,3.0,463.0,102.0,1052.0,259.0,368.0,3616.0,Plotting library for IPython/Jupyter notebooks.,65.0,29,True,2024-02-27 15:38:38.000,0.12.43,112.0,bqplot,conda-forge/bqplot,,['jupyter'],,203595.0,178.0,58.0,https://pypi.org/project/bqplot,2024-03-25 09:03:21.000,99.0,174862.0,https://anaconda.org/conda-forge/bqplot,2024-02-19 16:46:43.025,1388449.0,3.0,,,,,,,,,bqplot,https://www.npmjs.com/package/bqplot,2024-03-25 09:04:27.051,21.0,2536.0,,,,,,,,,,,, +331,Sumy,miso-belica/sumy,nlp,,https://github.com/miso-belica/sumy,https://github.com/miso-belica/sumy,Apache-2.0,2013-02-20 12:56:48.000,2024-05-16 18:13:04.000000,2024-05-16 18:13:03,456.0,,526.0,113.0,93.0,23.0,101.0,3514.0,Module for automatic summarization of text documents and HTML pages.,32.0,29,True,2022-10-23 16:42:18.783,0.11.0,16.0,sumy,conda-forge/sumy,,,,481571.0,3153.0,3122.0,https://pypi.org/project/sumy,2022-10-23 16:42:18.783,31.0,481338.0,https://anaconda.org/conda-forge/sumy,2023-06-16 19:26:28.563,9346.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +332,pomegranate,jmschrei/pomegranate,probabilistics,,https://github.com/jmschrei/pomegranate,https://github.com/jmschrei/pomegranate,MIT,2014-11-24 18:36:58.000,2024-07-11 06:05:21.000000,2024-07-11 06:02:00,993.0,9.0,590.0,95.0,338.0,20.0,759.0,3354.0,"Fast, flexible and easy to use probabilistic modelling in Python.",75.0,29,True,2024-07-11 06:11:27.000,1.1.0,76.0,pomegranate,conda-forge/pomegranate,,,,18054.0,1221.0,1162.0,https://pypi.org/project/pomegranate,2024-07-11 06:05:21.000,59.0,14787.0,https://anaconda.org/conda-forge/pomegranate,2023-12-10 17:04:41.093,173170.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +333,vidgear,abhiTronix/vidgear,image,,https://github.com/abhiTronix/vidgear,https://github.com/abhiTronix/vidgear,Apache-2.0,2019-03-17 02:42:42.000,2024-08-11 08:09:18.000000,2024-06-22 17:36:10,1146.0,,252.0,61.0,121.0,6.0,288.0,3340.0,A High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features.,14.0,29,True,2024-06-22 19:12:02.000,0.3.3,23.0,vidgear,,,,1718.0,26215.0,625.0,610.0,https://pypi.org/project/vidgear,2024-06-22 19:12:02.000,15.0,26190.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +334,fastNLP,fastnlp/fastNLP,nlp,,https://github.com/fastnlp/fastNLP,https://github.com/fastnlp/fastNLP,Apache-2.0,2018-03-07 13:30:20.000,2023-06-05 03:00:37.000000,2022-12-13 03:52:09,2484.0,,450.0,82.0,245.0,69.0,155.0,3062.0,fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.,61.0,29,False,2022-10-31 14:47:34.183,1.0.1,24.0,fastnlp,,,,89.0,104534.0,201.0,198.0,https://pypi.org/project/fastnlp,2022-10-31 14:47:34.183,3.0,104533.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +335,Cufflinks,santosjorge/cufflinks,data-viz,,https://github.com/santosjorge/cufflinks,https://github.com/santosjorge/cufflinks,MIT,2014-11-19 20:59:33.000,2024-07-03 14:15:42.000000,2021-02-25 05:05:09,452.0,,676.0,108.0,74.0,102.0,123.0,3024.0,Productivity Tools for Plotly + Pandas.,39.0,29,False,2020-03-01 17:42:01.000,0.17.3,28.0,cufflinks,,,['pandas'],,60490.0,11910.0,11801.0,https://pypi.org/project/cufflinks,2020-03-01 17:42:01.000,109.0,60490.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +336,mljar-supervised,mljar/mljar-supervised,hyperopt,,https://github.com/mljar/mljar-supervised,https://github.com/mljar/mljar-supervised,MIT,2018-11-05 12:58:04.000,2024-09-30 11:30:32.000000,2024-09-30 11:30:32,1216.0,40.0,402.0,49.0,94.0,163.0,520.0,3017.0,"Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and..",29.0,29,True,2024-09-10 16:36:20.000,1.1.11,94.0,mljar-supervised,conda-forge/mljar-supervised,,,,6319.0,133.0,129.0,https://pypi.org/project/mljar-supervised,2024-09-10 16:36:20.000,4.0,5769.0,https://anaconda.org/conda-forge/mljar-supervised,2024-09-10 16:42:21.786,22027.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +337,TF-Agents,tensorflow/agents,reinforcement-learning,,https://github.com/tensorflow/agents,https://github.com/tensorflow/agents,Apache-2.0,2018-11-17 00:29:12.000,2024-09-30 15:29:26.000000,2024-09-30 15:28:36,2305.0,8.0,714.0,79.0,206.0,198.0,469.0,2781.0,"TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.",151.0,29,True,2023-12-14 04:07:38.000,0.19.0,51.0,tf-agents,,,['tensorflow'],,118613.0,14.0,,https://pypi.org/project/tf-agents,2023-12-14 04:07:38.000,14.0,118613.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +338,GluonNLP,dmlc/gluon-nlp,nlp,,https://github.com/dmlc/gluon-nlp,https://github.com/dmlc/gluon-nlp,Apache-2.0,2018-04-04 20:57:13.000,2023-10-06 04:01:21.000000,2022-12-25 20:52:27,843.0,,519.0,95.0,1045.0,260.0,297.0,2556.0,"Toolkit that enables easy text preprocessing, datasets loading and neural models building to help you speed up your..",86.0,29,False,2020-08-13 19:17:42.000,0.10.0,26.0,gluonnlp,,,['mxnet'],,98927.0,1633.0,1611.0,https://pypi.org/project/gluonnlp,2020-08-13 19:17:42.000,22.0,98927.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +339,mpld3,mpld3/mpld3,data-viz,,https://github.com/mpld3/mpld3,https://github.com/mpld3/mpld3,BSD-3-Clause,2013-12-18 01:48:30.000,2024-01-11 18:01:50.000000,2023-12-23 13:05:00,887.0,,357.0,82.0,168.0,217.0,148.0,2352.0,An interactive data visualization tool which brings matplotlib graphics to the browser using D3.,52.0,29,True,2023-12-23 13:04:29.963,0.5.10,19.0,mpld3,conda-forge/mpld3,,,,386049.0,6688.0,6533.0,https://pypi.org/project/mpld3,2023-12-23 13:03:02.000,146.0,381308.0,https://anaconda.org/conda-forge/mpld3,2023-12-23 15:16:22.285,209618.0,3.0,,,,,,,,,mpld3,https://www.npmjs.com/package/mpld3,2023-12-23 13:04:29.963,9.0,710.0,,,,,,,,,,,, +340,explainerdashboard,oegedijk/explainerdashboard,interpretability,,https://github.com/oegedijk/explainerdashboard,https://github.com/oegedijk/explainerdashboard,MIT,2019-10-30 08:26:16.000,2024-07-18 15:45:47.000000,2024-06-20 19:30:24,1373.0,,327.0,22.0,49.0,35.0,203.0,2301.0,Quickly build Explainable AI dashboards that show the inner workings of so-called blackbox machine learning models.,21.0,29,True,2024-03-18 21:02:33.000,0.4.7,91.0,explainerdashboard,conda-forge/explainerdashboard,,,,83482.0,551.0,541.0,https://pypi.org/project/explainerdashboard,2024-03-18 21:02:33.000,10.0,82332.0,https://anaconda.org/conda-forge/explainerdashboard,2024-03-18 22:16:35.129,52914.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +341,ffn,pmorissette/ffn,financial-data,,https://github.com/pmorissette/ffn,https://github.com/pmorissette/ffn,MIT,2014-06-19 15:54:09.000,2024-10-01 13:02:53.000000,2024-10-01 13:02:45,487.0,10.0,288.0,64.0,122.0,22.0,105.0,1991.0,ffn - a financial function library for Python.,35.0,29,True,2024-08-06 13:45:28.000,1.1.0,37.0,ffn,conda-forge/ffn,,,,16521.0,510.0,492.0,https://pypi.org/project/ffn,2024-08-05 23:48:25.000,18.0,16234.0,https://anaconda.org/conda-forge/ffn,2024-08-06 14:03:54.464,12069.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +342,ogb,snap-stanford/ogb,graph,,https://github.com/snap-stanford/ogb,https://github.com/snap-stanford/ogb,MIT,2019-11-22 22:13:57.000,2024-02-13 19:24:57.000000,2024-02-01 18:50:30,675.0,,400.0,41.0,63.0,24.0,272.0,1925.0,"Benchmark datasets, data loaders, and evaluators for graph machine learning.",32.0,29,True,2023-04-07 06:00:55.135,1.3.6,19.0,ogb,conda-forge/ogb,,,,93077.0,1975.0,1953.0,https://pypi.org/project/ogb,2022-11-02 22:00:56.960,22.0,92316.0,https://anaconda.org/conda-forge/ogb,2023-06-16 19:21:31.692,37316.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +343,fairlearn,fairlearn/fairlearn,interpretability,,https://github.com/fairlearn/fairlearn,https://github.com/fairlearn/fairlearn,MIT,2018-05-15 01:51:35.000,2024-09-24 10:24:40.000000,2024-09-24 10:24:40,879.0,15.0,412.0,38.0,908.0,160.0,320.0,1917.0,A Python package to assess and improve fairness of machine learning models.,84.0,29,True,2023-12-19 14:14:09.000,0.10.0,20.0,fairlearn,conda-forge/fairlearn,,['sklearn'],,166890.0,58.0,3.0,https://pypi.org/project/fairlearn,2023-12-19 02:11:12.000,55.0,166117.0,https://anaconda.org/conda-forge/fairlearn,2023-12-20 11:56:56.090,36374.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +344,pyLDAvis,bmabey/pyLDAvis,interpretability,,https://github.com/bmabey/pyLDAvis,https://github.com/bmabey/pyLDAvis,BSD-3-Clause,2015-04-09 22:48:03.000,2024-07-09 19:44:03.000000,2024-04-29 20:57:51,290.0,,359.0,47.0,79.0,78.0,113.0,1802.0,Python library for interactive topic model visualization. Port of the R LDAvis package.,42.0,29,True,2023-04-23 23:55:02.142,3.4.1,26.0,pyldavis,conda-forge/pyldavis,,['jupyter'],,127490.0,6574.0,6471.0,https://pypi.org/project/pyldavis,2023-04-23 23:55:02.142,103.0,126355.0,https://anaconda.org/conda-forge/pyldavis,2023-06-16 16:08:55.034,86299.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +345,SciSpacy,allenai/scispacy,nlp,,https://github.com/allenai/scispacy,https://github.com/allenai/scispacy,Apache-2.0,2018-09-24 21:45:52.000,2024-09-15 02:16:48.000000,2024-09-15 02:16:48,1062.0,3.0,222.0,51.0,208.0,32.0,289.0,1688.0,A full spaCy pipeline and models for scientific/biomedical documents.,34.0,29,True,2024-03-08 05:58:36.000,0.5.4,15.0,scispacy,,,,,22275.0,1001.0,967.0,https://pypi.org/project/scispacy,2024-03-08 05:58:36.000,34.0,22275.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +346,pingouin,raphaelvallat/pingouin,probabilistics,,https://github.com/raphaelvallat/pingouin,https://github.com/raphaelvallat/pingouin,GPL-3.0,2018-04-01 01:10:22.000,2024-09-04 22:25:36.166000,2024-09-04 10:38:43,1254.0,2.0,138.0,31.0,117.0,35.0,269.0,1606.0,Statistical package in Python based on Pandas.,46.0,29,False,2024-09-04 10:48:32.000,0.5.5,41.0,pingouin,conda-forge/pingouin,,,,139373.0,2554.0,2398.0,https://pypi.org/project/pingouin,2024-09-04 10:42:50.000,156.0,136789.0,https://anaconda.org/conda-forge/pingouin,2024-09-04 22:25:36.166,134412.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +347,spacy-transformers,explosion/spacy-transformers,nlp,,https://github.com/explosion/spacy-transformers,https://github.com/explosion/spacy-transformers,MIT,2019-07-26 19:12:34.000,2024-06-05 08:48:15.000000,2024-06-05 08:42:47,1478.0,,163.0,32.0,252.0,,,1342.0,"Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy.",22.0,29,True,2024-04-25 12:54:53.000,1.3.5,77.0,spacy-transformers,conda-forge/spacy-transformers,,['spacy'],,548246.0,1961.0,1874.0,https://pypi.org/project/spacy-transformers,2024-04-25 12:53:43.000,87.0,548246.0,https://anaconda.org/conda-forge/spacy-transformers,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +348,Submit it,facebookincubator/submitit,distributed-ml,,https://github.com/facebookincubator/submitit,https://github.com/facebookincubator/submitit,MIT,2020-04-24 07:41:09.000,2024-09-18 16:05:13.000000,2024-09-18 16:03:14,147.0,8.0,120.0,24.0,109.0,46.0,77.0,1266.0,Python 3.8+ toolbox for submitting jobs to Slurm.,25.0,29,True,2024-09-18 16:05:09.000,1.5.2,24.0,submitit,conda-forge/submitit,,,,451479.0,3299.0,3250.0,https://pypi.org/project/submitit,2024-09-18 16:05:09.000,49.0,450663.0,https://anaconda.org/conda-forge/submitit,2023-11-24 07:58:55.401,40822.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +349,Prince,MaxHalford/prince,others,,https://github.com/MaxHalford/prince,https://github.com/MaxHalford/prince,MIT,2016-10-22 12:36:06.000,2024-09-08 06:00:12.000000,2024-09-07 18:33:30,408.0,10.0,182.0,26.0,39.0,9.0,130.0,1256.0,"Multivariate exploratory data analysis in Python PCA, CA, MCA, MFA, FAMD, GPA.",16.0,29,True,2024-09-07 18:34:31.000,0.13.1,60.0,prince,conda-forge/prince-factor-analysis,,['sklearn'],,194172.0,624.0,606.0,https://pypi.org/project/prince,2024-09-07 18:34:31.000,18.0,193823.0,https://anaconda.org/conda-forge/prince-factor-analysis,2023-06-16 16:19:02.748,20613.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +350,skforecast,JoaquinAmatRodrigo/skforecast,time-series-data,,https://github.com/JoaquinAmatRodrigo/skforecast,https://github.com/JoaquinAmatRodrigo/skforecast,BSD-3-Clause,2021-02-10 11:40:34.000,2024-10-03 12:37:15.000000,2024-08-13 21:16:30,3511.0,190.0,125.0,10.0,622.0,19.0,150.0,1093.0,Time series forecasting with machine learning models.,14.0,29,True,2024-08-01 13:18:23.000,0.13.0,28.0,skforecast,,,['sklearn'],,75599.0,343.0,328.0,https://pypi.org/project/skforecast,2024-08-01 12:24:50.000,15.0,75599.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +351,geojson,jazzband/geojson,geospatial-data,,https://github.com/jazzband/geojson,https://github.com/jazzband/geojson,BSD-3-Clause,2011-07-01 20:39:48.000,2024-08-08 16:10:29.000000,2024-08-08 16:10:29,495.0,1.0,121.0,32.0,130.0,27.0,75.0,913.0,Python bindings and utilities for GeoJSON.,56.0,29,True,2023-11-05 21:06:50.000,3.1.0,31.0,geojson,conda-forge/geojson,,,,3027296.0,19051.0,18350.0,https://pypi.org/project/geojson,2023-11-05 21:06:50.000,701.0,2984628.0,https://anaconda.org/conda-forge/geojson,2023-11-06 11:21:40.354,853364.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +352,mahotas,luispedro/mahotas,image,,https://github.com/luispedro/mahotas,https://github.com/luispedro/mahotas,MIT,2010-01-31 00:13:06.000,2024-07-18 20:23:32.152000,2024-07-17 19:01:14,1326.0,12.0,149.0,50.0,59.0,21.0,70.0,839.0,Computer Vision in Python.,35.0,29,True,2024-07-17 21:10:14.000,1.4.18,63.0,mahotas,conda-forge/mahotas,,,,33909.0,1417.0,1354.0,https://pypi.org/project/mahotas,2024-07-17 21:10:14.000,63.0,24311.0,https://anaconda.org/conda-forge/mahotas,2024-07-18 20:23:32.152,499113.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +353,GeoViews,holoviz/geoviews,geospatial-data,,https://github.com/holoviz/geoviews,https://github.com/holoviz/geoviews,BSD-3-Clause,2016-04-19 16:27:01.000,2024-10-01 15:59:32.000000,2024-09-30 12:28:02,845.0,15.0,75.0,25.0,404.0,103.0,241.0,592.0,"Simple, concise geographical visualization in Python.",32.0,29,True,2024-09-18 10:30:55.000,1.13.0,66.0,geoviews,conda-forge/geoviews,,,,19215.0,1184.0,1125.0,https://pypi.org/project/geoviews,2024-09-16 16:00:44.000,59.0,14188.0,https://anaconda.org/conda-forge/geoviews,2024-09-17 10:57:22.057,246350.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +354,Neptune.ai,neptune-ai/neptune-client,ml-experiments,,https://github.com/neptune-ai/neptune-client,https://github.com/neptune-ai/neptune-client,Apache-2.0,2019-02-11 11:25:57.000,2024-10-02 12:46:58.862000,2024-09-26 12:17:28,2097.0,7.0,63.0,18.0,1633.0,30.0,213.0,575.0,The experiment tracker for foundation model training.,54.0,29,True,2024-10-02 08:04:08.000,1.12.0,210.0,neptune-client,conda-forge/neptune-client,,,,508676.0,684.0,607.0,https://pypi.org/project/neptune-client,2024-10-02 08:04:08.000,77.0,503409.0,https://anaconda.org/conda-forge/neptune-client,2024-10-02 12:46:58.862,279195.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +355,Facets Overview,pair-code/facets,data-viz,,https://github.com/PAIR-code/facets,https://github.com/PAIR-code/facets,Apache-2.0,2017-07-07 14:03:03.000,2023-05-24 15:58:01.158000,2023-05-24 15:56:22,277.0,,886.0,267.0,98.0,82.0,81.0,7350.0,Visualizations for machine learning datasets.,31.0,28,False,2023-05-24 15:58:01.158,1.1.1,9.0,facets-overview,,,['jupyter'],,90381.0,273.0,265.0,https://pypi.org/project/facets-overview,2023-05-24 15:58:01.158,8.0,90381.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +356,Face Alignment,1adrianb/face-alignment,image,,https://github.com/1adrianb/face-alignment,https://github.com/1adrianb/face-alignment,BSD-3-Clause,2017-09-15 20:32:44.000,2024-08-30 14:19:26.000000,2024-08-30 14:19:23,221.0,1.0,1338.0,172.0,46.0,80.0,241.0,7032.0,2D and 3D Face alignment library build using pytorch.,26.0,28,True,2023-08-17 14:43:11.000,1.4.1,14.0,face-alignment,,,['pytorch'],,67303.0,31.0,21.0,https://pypi.org/project/face-alignment,2023-08-17 14:43:11.000,10.0,67303.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +357,scikit-surprise,NicolasHug/Surprise,recommender-systems,,https://github.com/NicolasHug/Surprise,https://github.com/NicolasHug/Surprise,BSD-3-Clause,2016-10-23 14:59:38.000,2024-06-16 11:25:37.000000,2024-06-14 19:31:58,659.0,,1011.0,145.0,100.0,87.0,310.0,6367.0,A Python scikit for building and analyzing recommender systems.,46.0,28,True,2024-05-19 14:25:59.000,1.1.4,12.0,scikit-surprise,conda-forge/scikit-surprise,,,,90112.0,58.0,21.0,https://pypi.org/project/scikit-surprise,2024-05-19 14:25:59.000,37.0,82018.0,https://anaconda.org/conda-forge/scikit-surprise,2024-05-20 10:08:43.793,412827.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +358,pyAudioAnalysis,tyiannak/pyAudioAnalysis,audio,,https://github.com/tyiannak/pyAudioAnalysis,https://github.com/tyiannak/pyAudioAnalysis,Apache-2.0,2014-08-27 12:43:13.000,2024-03-31 17:27:35.000000,2023-10-22 09:33:23,779.0,,1190.0,210.0,92.0,201.0,122.0,5833.0,"Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications.",28.0,28,True,2022-02-07 22:36:53.000,0.3.14,23.0,pyAudioAnalysis,,,,,15700.0,520.0,508.0,https://pypi.org/project/pyAudioAnalysis,2022-02-07 22:36:53.000,12.0,15700.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +359,keras-rl,keras-rl/keras-rl,reinforcement-learning,,https://github.com/keras-rl/keras-rl,https://github.com/keras-rl/keras-rl,MIT,2016-07-02 15:53:12.000,2023-09-17 12:33:41.000000,2019-11-11 22:14:54,308.0,,1362.0,200.0,158.0,49.0,227.0,5517.0,Deep Reinforcement Learning for Keras.,41.0,28,False,2018-06-01 07:52:24.000,0.4.2,8.0,keras-rl,,,['tensorflow'],,1317.0,795.0,789.0,https://pypi.org/project/keras-rl,2018-06-01 07:52:24.000,6.0,1317.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +360,Edward,blei-lab/edward,probabilistics,,https://github.com/blei-lab/edward,https://github.com/blei-lab/edward,Apache-2.0,2016-02-10 20:06:05.000,2024-03-18 16:23:03.000000,2018-07-25 01:28:08,1796.0,,780.0,271.0,438.0,221.0,329.0,4831.0,"A probabilistic programming language in TensorFlow. Deep generative models, variational inference.",87.0,28,False,2018-01-22 06:03:37.000,1.3.5,28.0,edward,,,['tensorflow'],25.0,1266.0,331.0,329.0,https://pypi.org/project/edward,2018-01-22 06:03:05.000,2.0,1266.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +361,layout-parser,Layout-Parser/layout-parser,image,,https://github.com/Layout-Parser/layout-parser,https://github.com/Layout-Parser/layout-parser,Apache-2.0,2020-06-10 20:22:54.000,2024-08-15 06:26:34.000000,2022-08-06 21:47:18,182.0,,459.0,73.0,63.0,110.0,57.0,4822.0,A Unified Toolkit for Deep Learning Based Document Image Analysis.,8.0,28,False,2022-04-06 04:38:09.000,0.3.4,11.0,layoutparser,,,,,374377.0,2947.0,2925.0,https://pypi.org/project/layoutparser,2022-04-06 04:38:09.000,22.0,374377.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +362,lightfm,lyst/lightfm,recommender-systems,,https://github.com/lyst/lightfm,https://github.com/lyst/lightfm,Apache-2.0,2015-07-30 08:34:00.000,2024-07-24 18:48:54.000000,2023-04-30 18:36:20,483.0,,686.0,87.0,208.0,157.0,358.0,4735.0,"A Python implementation of LightFM, a hybrid recommendation algorithm.",47.0,28,False,2023-03-20 04:08:46.000,1.17,15.0,lightfm,conda-forge/lightfm,,,,346097.0,1575.0,1543.0,https://pypi.org/project/lightfm,2023-03-20 04:15:00.582,32.0,343322.0,https://anaconda.org/conda-forge/lightfm,2023-06-16 16:08:40.466,224779.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +363,ArrayFire,arrayfire/arrayfire,gpu-utilities,,https://github.com/arrayfire/arrayfire,https://github.com/arrayfire/arrayfire,BSD-3-Clause,2014-10-28 20:58:33.000,2024-10-01 23:47:54.000000,2024-10-01 23:47:53,6174.0,21.0,528.0,147.0,1943.0,338.0,1381.0,4535.0,ArrayFire: a general purpose GPU library.,94.0,28,True,2023-08-29 19:49:26.000,3.9.0,34.0,arrayfire,,,,7013.0,3192.0,10.0,,https://pypi.org/project/arrayfire,2022-02-22 21:42:15.000,10.0,3130.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +364,Lasagne,Lasagne/Lasagne,ml-frameworks,,https://github.com/Lasagne/Lasagne,https://github.com/Lasagne/Lasagne,MIT,2014-09-11 15:31:41.000,2022-03-26 02:58:32.000000,2019-11-20 20:28:30,1161.0,,949.0,218.0,408.0,139.0,402.0,3845.0,Lightweight library to build and train neural networks in Theano.,72.0,28,False,2015-08-13 21:00:09.000,0.1,2.0,lasagne,,,,,1989.0,1073.0,1061.0,https://pypi.org/project/lasagne,2015-08-13 21:10:53.000,12.0,1989.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +365,Deep Checks,deepchecks/deepchecks,interpretability,,https://github.com/deepchecks/deepchecks,https://github.com/deepchecks/deepchecks,AGPL-3.0,2021-10-11 14:48:38.000,2024-09-25 09:06:07.000000,2024-02-22 12:17:17,1487.0,,249.0,20.0,1746.0,248.0,726.0,3581.0,Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all..,53.0,28,False,2024-01-31 13:08:55.000,0.18.1,60.0,deepchecks,,,,1202.0,87769.0,437.0,425.0,https://pypi.org/project/deepchecks,2024-01-31 13:08:49.000,12.0,87736.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +366,Acme,deepmind/acme,reinforcement-learning,,https://github.com/google-deepmind/acme,https://github.com/google-deepmind/acme,Apache-2.0,2020-05-01 09:18:12.000,2024-09-17 20:09:27.000000,2024-09-17 20:08:40,1205.0,4.0,420.0,83.0,55.0,62.0,203.0,3480.0,A library of reinforcement learning components and agents.,86.0,28,True,2022-02-10 06:52:27.000,0.4.0,15.0,dm-acme,conda-forge/dm-acme,,['tensorflow'],,1522.0,219.0,216.0,https://pypi.org/project/dm-acme,2022-02-10 06:52:27.000,3.0,1313.0,https://anaconda.org/conda-forge/dm-acme,2023-06-16 19:23:44.096,9851.0,2.0,,,,,,,,google-deepmind/acme,,,,,,,,,,,,,,,,, +367,aubio,aubio/aubio,audio,,https://github.com/aubio/aubio,https://github.com/aubio/aubio,GPL-3.0,2009-12-04 21:07:44.000,2024-08-03 07:04:44.000000,2024-01-02 20:16:48,4161.0,,370.0,83.0,65.0,156.0,189.0,3285.0,a library for audio and music analysis.,25.0,28,False,2019-02-27 09:00:43.000,0.4.9,10.0,aubio,conda-forge/aubio,,,,14954.0,502.0,485.0,https://pypi.org/project/aubio,2019-02-08 11:21:02.000,17.0,7088.0,https://anaconda.org/conda-forge/aubio,2023-06-16 13:24:40.255,715871.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +368,Catalyst,catalyst-team/catalyst,ml-experiments,,https://github.com/catalyst-team/catalyst,https://github.com/catalyst-team/catalyst,Apache-2.0,2018-08-20 07:56:13.000,2024-03-20 16:17:12.000000,2022-04-29 04:19:24,1698.0,,387.0,46.0,1085.0,2.0,353.0,3279.0,Accelerated deep learning R&D.,104.0,28,False,2022-04-29 04:45:11.000,22.04,108.0,catalyst,,,['pytorch'],,25506.0,1220.0,1190.0,https://pypi.org/project/catalyst,2022-04-29 04:46:04.000,30.0,25506.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +369,dtreeviz,parrt/dtreeviz,interpretability,,https://github.com/parrt/dtreeviz,https://github.com/parrt/dtreeviz,MIT,2018-08-13 21:45:15.000,2024-08-29 16:58:41.000000,2024-08-29 16:58:41,621.0,2.0,334.0,45.0,121.0,72.0,137.0,2939.0,A python library for decision tree visualization and model interpretation.,27.0,28,True,2023-07-13 17:23:01.507,2.2.2,41.0,dtreeviz,conda-forge/dtreeviz,,,,119044.0,1361.0,1308.0,https://pypi.org/project/dtreeviz,2022-07-07 17:18:00.886,53.0,117256.0,https://anaconda.org/conda-forge/dtreeviz,2023-07-13 20:18:43.899,84039.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +370,StellarGraph,stellargraph/stellargraph,graph,,https://github.com/stellargraph/stellargraph,https://github.com/stellargraph/stellargraph,Apache-2.0,2018-04-13 07:35:51.000,2024-04-10 12:25:23.000000,2021-10-29 06:15:49,2535.0,,429.0,61.0,933.0,325.0,747.0,2936.0,StellarGraph - Machine Learning on Graphs.,37.0,28,False,2021-02-22 06:35:38.731,1.2.1,25.0,stellargraph,,,['tensorflow'],,14830.0,289.0,278.0,https://pypi.org/project/stellargraph,2021-02-22 06:35:38.731,11.0,14830.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +371,Essentia,MTG/essentia,audio,,https://github.com/MTG/essentia,https://github.com/MTG/essentia,AGPL-3.0,2013-06-03 14:53:47.000,2024-10-01 13:46:57.000000,2024-10-01 13:46:57,3630.0,36.0,522.0,108.0,361.0,388.0,688.0,2823.0,"C++ library for audio and music analysis, description and synthesis, including Python bindings.",81.0,28,False,2015-03-31 16:33:30.000,2.0,21.0,essentia,,,,,15898.0,801.0,781.0,https://pypi.org/project/essentia,2024-04-29 15:12:27.000,20.0,15898.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +372,Neural Network Libraries,sony/nnabla,ml-frameworks,,https://github.com/sony/nnabla,https://github.com/sony/nnabla,Apache-2.0,2017-06-26 01:07:10.000,2024-09-24 01:23:55.000000,2024-09-24 01:23:52,3553.0,9.0,333.0,154.0,1182.0,35.0,60.0,2722.0,Neural Network Libraries.,76.0,28,True,2024-05-29 05:14:17.000,1.39.0,79.0,nnabla,,,,979.0,4336.0,44.0,,https://pypi.org/project/nnabla,2024-05-29 02:51:02.000,44.0,4325.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +373,pygal,Kozea/pygal,graph,,https://github.com/Kozea/pygal,https://github.com/Kozea/pygal,LGPL-3.0,2011-09-23 10:17:50.000,2024-08-13 16:15:34.495000,2024-08-12 14:54:41,1058.0,5.0,411.0,124.0,144.0,198.0,247.0,2643.0,PYthon svg GrAph plotting Library.,77.0,28,False,2024-08-12 14:55:21.000,3.0.5,81.0,pygal,conda-forge/pygal,,,,244307.0,101.0,,https://pypi.org/project/pygal,2024-08-12 14:55:21.000,101.0,241012.0,https://anaconda.org/conda-forge/pygal,2024-08-13 16:15:34.495,69204.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +374,ipyparallel,ipython/ipyparallel,distributed-ml,,https://github.com/ipython/ipyparallel,https://github.com/ipython/ipyparallel,,2015-04-09 07:43:55.000,2024-09-02 22:27:25.000000,2024-07-02 07:21:59,2916.0,,997.0,123.0,525.0,65.0,300.0,2584.0,IPython Parallel: Interactive Parallel Computing in Python.,113.0,28,False,2024-04-05 11:35:24.000,8.8.0,47.0,ipyparallel,conda-forge/ipyparallel,,['jupyter'],,512075.0,112.0,,https://pypi.org/project/ipyparallel,2024-04-05 11:35:24.000,112.0,488886.0,https://anaconda.org/conda-forge/ipyparallel,2024-04-05 13:21:22.787,1113113.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +375,scikit-plot,reiinakano/scikit-plot,interpretability,,https://github.com/reiinakano/scikit-plot,https://github.com/reiinakano/scikit-plot,MIT,2017-02-04 06:22:59.000,2024-08-20 05:47:39.000000,2018-08-19 12:37:47,130.0,,284.0,65.0,61.0,31.0,39.0,2428.0,An intuitive library to add plotting functionality to scikit-learn objects.,13.0,28,False,2018-08-19 12:25:39.290,0.3.7,27.0,scikit-plot,conda-forge/scikit-plot,,['sklearn'],,422563.0,5523.0,5438.0,https://pypi.org/project/scikit-plot,2018-08-19 12:25:39.290,85.0,420436.0,https://anaconda.org/conda-forge/scikit-plot,2023-06-16 13:22:21.652,185128.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +376,Spektral,danielegrattarola/spektral,graph,,https://github.com/danielegrattarola/spektral,https://github.com/danielegrattarola/spektral,MIT,2019-01-17 11:19:10.000,2024-01-21 16:47:04.000000,2024-01-21 16:46:47,1134.0,,336.0,45.0,57.0,67.0,209.0,2365.0,Graph Neural Networks with Keras and Tensorflow 2.,27.0,28,True,2024-01-21 16:17:36.000,1.3.1,35.0,spektral,,,['tensorflow'],,13199.0,338.0,331.0,https://pypi.org/project/spektral,2024-01-21 16:17:36.000,7.0,13199.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +377,langid,saffsd/langid.py,nlp,,https://github.com/saffsd/langid.py,https://github.com/saffsd/langid.py,BSD-3-Clause,2011-04-29 00:16:56.000,2020-01-01 10:49:30.000000,2017-07-15 02:49:17,242.0,,315.0,65.0,14.0,28.0,47.0,2302.0,Stand-alone language identification system.,9.0,28,False,2016-04-05 22:34:15.000,1.1.6,8.0,langid,,,,,393701.0,11796.0,11641.0,https://pypi.org/project/langid,2016-04-05 22:34:15.000,155.0,393701.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +378,alibi-detect,SeldonIO/alibi-detect,others,,https://github.com/SeldonIO/alibi-detect,https://github.com/SeldonIO/alibi-detect,Intel,2019-10-07 13:29:13.000,2024-08-05 07:13:17.000000,2024-05-21 10:49:30,727.0,,221.0,40.0,546.0,136.0,235.0,2215.0,"Algorithms for outlier, adversarial and drift detection.",23.0,28,False,2024-04-17 16:12:46.000,0.12.0,38.0,alibi-detect,,,,,65957.0,486.0,479.0,https://pypi.org/project/alibi-detect,2024-04-17 16:12:46.000,7.0,65957.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +379,torchsde,google-research/torchsde,pytorch-utils,,https://github.com/google-research/torchsde,https://github.com/google-research/torchsde,Apache-2.0,2020-07-06 23:13:11.000,2024-05-25 02:57:17.000000,2023-09-26 23:11:11,163.0,,196.0,34.0,73.0,27.0,52.0,1557.0,Differentiable SDE solvers with GPU support and efficient sensitivity analysis.,8.0,28,False,2023-09-26 22:07:23.000,0.2.6,5.0,torchsde,conda-forge/torchsde,,['pytorch'],,1887713.0,3795.0,3758.0,https://pypi.org/project/torchsde,2023-09-26 21:52:19.000,37.0,1887094.0,https://anaconda.org/conda-forge/torchsde,2023-06-16 19:24:16.458,27888.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +380,TabPy,tableau/TabPy,others,,https://github.com/tableau/TabPy,https://github.com/tableau/TabPy,MIT,2016-09-27 21:26:03.000,2024-09-23 20:40:57.000000,2024-09-23 18:45:00,1017.0,35.0,592.0,106.0,292.0,22.0,300.0,1555.0,Execute Python code on the fly and display results in Tableau visualizations:.,51.0,28,True,2024-09-23 20:40:57.000,2.12.0,34.0,tabpy,anaconda/tabpy-client,,,,7178.0,179.0,177.0,https://pypi.org/project/tabpy,2024-09-23 20:40:57.000,2.0,7127.0,https://anaconda.org/anaconda/tabpy-client,2023-06-16 13:20:17.078,4601.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +381,TF Model Optimization,tensorflow/model-optimization,tensorflow-utils,,https://github.com/tensorflow/model-optimization,https://github.com/tensorflow/model-optimization,Apache-2.0,2018-10-31 20:34:28.000,2024-09-25 00:22:42.000000,2024-09-25 00:22:36,832.0,2.0,320.0,120.0,785.0,225.0,168.0,1486.0,"A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.",86.0,28,True,2024-02-08 02:06:46.000,0.8.0,31.0,tensorflow-model-optimization,,,['tensorflow'],,933473.0,45.0,,https://pypi.org/project/tensorflow-model-optimization,2024-02-08 01:57:17.000,45.0,933473.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +382,openTSNE,pavlin-policar/openTSNE,data-viz,,https://github.com/pavlin-policar/openTSNE,https://github.com/pavlin-policar/openTSNE,BSD-3-Clause,2018-06-08 18:42:09.000,2024-09-13 08:50:44.958000,2024-08-13 10:02:03,694.0,3.0,158.0,22.0,126.0,5.0,131.0,1453.0,"Extensible, parallel implementations of t-SNE.",12.0,28,True,2024-08-13 11:02:28.000,1.0.2,28.0,opentsne,conda-forge/opentsne,,,,42848.0,928.0,881.0,https://pypi.org/project/opentsne,2024-08-13 11:02:01.000,47.0,36552.0,https://anaconda.org/conda-forge/opentsne,2024-09-13 08:50:44.958,314801.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +383,minisom,JustGlowing/minisom,others,,https://github.com/JustGlowing/minisom,https://github.com/JustGlowing/minisom,CC-BY-3.0,2013-07-03 10:10:06.000,2024-08-28 13:05:22.000000,2024-08-28 13:05:21,610.0,18.0,417.0,31.0,51.0,16.0,128.0,1430.0,MiniSom is a minimalistic implementation of the Self Organizing Maps.,30.0,28,False,2024-08-23 12:23:48.000,2.3.3,26.0,minisom,,,,,26039.0,689.0,658.0,https://pypi.org/project/minisom,2024-08-23 12:22:45.000,31.0,26039.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +384,dstack,dstackai/dstack,others,,https://github.com/dstackai/dstack,https://github.com/dstackai/dstack,MPL-2.0,2022-01-04 10:29:46.000,2024-10-03 10:06:40.000000,2024-10-03 10:06:38,2138.0,224.0,105.0,9.0,823.0,106.0,835.0,1347.0,"dstack is an open-source alternative to Kubernetes, designed to simplify development, training, and deployment of AI..",34.0,28,True,2024-09-30 10:29:42.000,0.18.16,232.0,dstack,,,,,6912.0,15.0,15.0,https://pypi.org/project/dstack,2024-09-30 10:04:56.000,,6912.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +385,PySwarms,ljvmiranda921/pyswarms,others,,https://github.com/ljvmiranda921/pyswarms,https://github.com/ljvmiranda921/pyswarms,MIT,2017-07-12 12:04:45.000,2024-08-06 17:18:34.000000,2023-06-06 09:46:40,415.0,,331.0,39.0,302.0,31.0,200.0,1268.0,A research toolkit for particle swarm optimization in Python.,45.0,28,False,2021-01-03 21:34:15.000,1.3.0,20.0,pyswarms,,,,,34226.0,457.0,435.0,https://pypi.org/project/pyswarms,2021-01-03 21:34:15.000,22.0,34226.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +386,scikit-lego,koaning/scikit-lego,sklearn-utils,,https://github.com/koaning/scikit-lego,https://github.com/koaning/scikit-lego,MIT,2019-01-21 15:30:15.000,2024-09-23 20:28:23.000000,2024-09-23 20:28:19,536.0,13.0,115.0,26.0,386.0,31.0,286.0,1261.0,Extra blocks for scikit-learn pipelines.,67.0,28,True,2024-07-10 14:32:19.000,0.9.1,52.0,scikit-lego,conda-forge/scikit-lego,,['sklearn'],,26439.0,172.0,161.0,https://pypi.org/project/scikit-lego,2024-07-10 14:08:28.000,11.0,25388.0,https://anaconda.org/conda-forge/scikit-lego,2024-07-10 21:13:14.463,55736.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +387,Model Analysis,tensorflow/model-analysis,interpretability,,https://github.com/tensorflow/model-analysis,https://github.com/tensorflow/model-analysis,Apache-2.0,2018-03-23 19:08:49.000,2024-10-01 20:44:24.000000,2024-10-01 20:44:24,1484.0,28.0,274.0,72.0,107.0,33.0,55.0,1256.0,Model analysis tools for TensorFlow.,58.0,28,True,2024-04-25 08:57:36.000,0.46.0,57.0,tensorflow-model-analysis,,,"['tensorflow', 'jupyter']",,222289.0,19.0,,https://pypi.org/project/tensorflow-model-analysis,2024-04-25 08:57:36.000,19.0,222289.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +388,kmodes,nicodv/kmodes,others,,https://github.com/nicodv/kmodes,https://github.com/nicodv/kmodes,MIT,2013-08-01 11:54:40.000,2024-06-19 19:59:13.000000,2024-01-17 21:03:09,532.0,,416.0,52.0,41.0,17.0,139.0,1238.0,"Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data.",22.0,28,True,2022-09-06 19:52:23.000,0.12.2,17.0,kmodes,conda-forge/kmodes,,,,277814.0,2865.0,2827.0,https://pypi.org/project/kmodes,2022-09-06 19:38:02.764,38.0,276902.0,https://anaconda.org/conda-forge/kmodes,2023-06-16 19:18:39.600,49269.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +389,ktrain,amaiya/ktrain,ml-frameworks,,https://github.com/amaiya/ktrain,https://github.com/amaiya/ktrain,Apache-2.0,2019-02-06 17:01:39.000,2024-08-23 02:08:55.000000,2024-07-09 16:09:26,3066.0,1.0,268.0,34.0,38.0,1.0,497.0,1226.0,ktrain is a Python library that makes deep learning and AI more accessible and easier to apply.,17.0,28,True,2024-06-19 01:15:40.000,0.41.4,211.0,ktrain,,,['tensorflow'],,10299.0,555.0,551.0,https://pypi.org/project/ktrain,2024-06-19 01:15:40.000,4.0,10299.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +390,Keras-Preprocessing,keras-team/keras-preprocessing,tensorflow-utils,,https://github.com/keras-team/keras-preprocessing,https://github.com/keras-team/keras-preprocessing,MIT,2018-05-30 22:43:36.000,2023-06-16 16:10:42.597000,2022-02-17 22:38:15,288.0,,444.0,43.0,176.0,93.0,102.0,1024.0,"Utilities for working with image data, text data, and sequence data.",52.0,28,False,2020-05-14 03:55:22.223,1.1.2,12.0,keras-preprocessing,conda-forge/keras-preprocessing,,['tensorflow'],,3942157.0,311.0,,https://pypi.org/project/keras-preprocessing,2020-05-14 03:55:22.223,311.0,3911803.0,https://anaconda.org/conda-forge/keras-preprocessing,2023-06-16 16:10:42.597,2306940.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +391,pythreejs,jupyter-widgets/pythreejs,data-viz,,https://github.com/jupyter-widgets/pythreejs,https://github.com/jupyter-widgets/pythreejs,BSD-3-Clause,2013-12-23 17:02:11.000,2024-09-03 21:38:15.000000,2023-02-20 00:24:10,1723.0,,185.0,41.0,175.0,65.0,174.0,942.0,A Jupyter - Three.js bridge.,30.0,28,False,2023-02-20 00:24:01.104,2.4.2,46.0,pythreejs,conda-forge/pythreejs,,['jupyter'],,88979.0,96.0,,https://pypi.org/project/pythreejs,2023-02-20 00:24:01.104,82.0,80749.0,https://anaconda.org/conda-forge/pythreejs,2023-06-16 13:16:30.947,597215.0,3.0,,,,,,,,,jupyter-threejs,https://www.npmjs.com/package/jupyter-threejs,2023-02-20 00:16:17.277,14.0,2317.0,,,,,,,,,,,, +392,PyNNDescent,lmcinnes/pynndescent,nn-search,,https://github.com/lmcinnes/pynndescent,https://github.com/lmcinnes/pynndescent,BSD-2-Clause,2018-02-07 23:23:54.000,2024-06-17 19:35:33.219000,2024-06-17 15:09:18,679.0,,105.0,14.0,99.0,73.0,67.0,879.0,A Python nearest neighbor descent for approximate nearest neighbors.,29.0,28,True,2024-06-17 15:48:31.000,0.5.13,32.0,pynndescent,conda-forge/pynndescent,,,,1481561.0,8082.0,7926.0,https://pypi.org/project/pynndescent,2024-06-17 15:48:31.000,156.0,1441770.0,https://anaconda.org/conda-forge/pynndescent,2024-06-17 19:35:33.219,2029342.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +393,CLTK,cltk/cltk,nlp,,https://github.com/cltk/cltk,https://github.com/cltk/cltk,MIT,2014-01-11 23:59:47.000,2024-08-18 16:23:07.000000,2024-05-12 22:59:32,3715.0,,327.0,65.0,690.0,36.0,533.0,835.0,The Classical Language Toolkit.,121.0,28,True,2024-05-13 16:48:36.000,1.2.6,217.0,cltk,,,,94.0,4650.0,288.0,273.0,https://pypi.org/project/cltk,2024-05-12 23:09:13.000,15.0,4650.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +394,python-soundfile,bastibe/python-soundfile,audio,,https://github.com/bastibe/python-soundfile,https://github.com/bastibe/python-soundfile,BSD-3-Clause,2013-08-27 13:36:52.000,2024-07-27 07:14:46.000000,2024-07-27 07:14:46,566.0,2.0,106.0,16.0,196.0,119.0,139.0,701.0,"SoundFile is an audio library based on libsndfile, CFFI, and NumPy.",34.0,28,True,2023-02-15 15:39:02.000,0.12.1,15.0,soundfile,anaconda/pysoundfile,,,20019.0,5752563.0,43447.0,42667.0,https://pypi.org/project/soundfile,2023-02-15 15:39:00.786,780.0,5752407.0,https://anaconda.org/anaconda/pysoundfile,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +395,PyStan,stan-dev/pystan,probabilistics,,https://github.com/stan-dev/pystan,https://github.com/stan-dev/pystan,ISC,2017-03-06 19:56:42.094,2024-07-03 17:04:15.000000,2024-07-03 17:02:18,237.0,,58.0,13.0,207.0,12.0,187.0,338.0,"PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io.",14.0,28,True,2024-07-03 17:04:15.000,3.10.0,73.0,pystan,conda-forge/pystan,,,,798921.0,10191.0,10031.0,https://pypi.org/project/pystan,2024-07-03 17:04:15.000,160.0,767010.0,https://anaconda.org/conda-forge/pystan,2023-06-16 13:14:39.735,2903946.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +396,Ciphey,Ciphey/Ciphey,nlp,,https://github.com/Ciphey/Ciphey,https://github.com/Ciphey/Ciphey,MIT,2019-07-16 20:20:39.000,2024-03-26 06:01:50.000000,2023-10-12 07:20:40,1894.0,,1131.0,239.0,455.0,72.0,264.0,18012.0,"Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes.",48.0,27,True,2021-06-06 17:15:00.281,5.14.0,50.0,ciphey,,,,,45902.0,,,https://pypi.org/project/ciphey,2021-06-06 17:15:00.281,,45492.0,,,,2.0,remnux/ciphey,https://hub.docker.com/r/remnux/ciphey,2023-10-14 18:53:31.974373,17.0,25856.0,,,,,,,,,,,,,,,,,,,, +397,english-words,dwyl/english-words,nlp,,https://github.com/dwyl/english-words,https://github.com/dwyl/english-words,Unlicense,2014-07-13 22:20:45.000,2024-06-16 11:20:30.000000,2024-06-16 11:20:30,100.0,,1815.0,206.0,74.0,113.0,37.0,10534.0,A text file containing 479k English words for all your dictionary/word-based projects e.g: auto-completion /..,32.0,27,True,2023-05-24 15:11:00.531,2.0.1,9.0,english-words,,,,,67162.0,16.0,2.0,https://pypi.org/project/english-words,2023-05-24 15:11:00.531,14.0,67162.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +398,Dopamine,google/dopamine,reinforcement-learning,,https://github.com/google/dopamine,https://github.com/google/dopamine,Apache-2.0,2018-07-26 09:58:36.000,2024-05-06 20:38:27.000000,2024-05-06 20:36:49,342.0,,1367.0,425.0,50.0,102.0,87.0,10521.0,Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.,15.0,27,True,2024-05-06 20:38:27.000,4.0.9,47.0,dopamine-rl,,,['tensorflow'],,36669.0,31.0,21.0,https://pypi.org/project/dopamine-rl,2024-05-06 20:38:27.000,10.0,36669.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +399,pysc2,deepmind/pysc2,others,,https://github.com/google-deepmind/pysc2,https://github.com/google-deepmind/pysc2,Apache-2.0,2017-07-25 18:16:57.000,2024-07-23 16:54:42.000000,2023-04-19 16:47:52,581.0,,1146.0,348.0,81.0,50.0,231.0,8002.0,StarCraft II Learning Environment.,39.0,27,False,2022-07-13 12:08:43.000,4.0,8.0,pysc2,,,,31861.0,2820.0,843.0,817.0,https://pypi.org/project/pysc2,2022-07-13 12:02:04.256,26.0,2450.0,,,,3.0,,,,,,,,google-deepmind/pysc2,,,,,,,,,,,,,,,,, +400,EfficientNet-PyTorch,lukemelas/EfficientNet-PyTorch,pytorch-utils,,https://github.com/lukemelas/EfficientNet-PyTorch,https://github.com/lukemelas/EfficientNet-PyTorch,Apache-2.0,2019-05-30 05:24:11.000,2022-04-08 12:30:25.000000,2021-04-15 15:16:36,162.0,,1523.0,131.0,51.0,163.0,141.0,7874.0,A PyTorch implementation of EfficientNet.,24.0,27,False,2021-04-15 15:17:23.000,0.7.1,13.0,efficientnet-pytorch,,,['pytorch'],4198612.0,237405.0,73.0,1.0,https://pypi.org/project/efficientnet-pytorch,2021-04-15 15:17:23.000,72.0,161067.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +401,TensorLayer,tensorlayer/tensorlayer,reinforcement-learning,,https://github.com/tensorlayer/TensorLayer,https://github.com/tensorlayer/TensorLayer,Apache-2.0,2016-06-07 15:55:16.000,2023-12-02 01:27:38.759000,2023-02-18 07:58:21,3353.0,,1609.0,458.0,699.0,33.0,441.0,7327.0,Deep Learning and Reinforcement Learning Library for Scientists and Engineers.,136.0,27,False,2022-02-15 02:05:47.000,2.2.5,84.0,tensorlayer,,,['tensorflow'],2471.0,2688.0,11.0,,https://pypi.org/project/tensorlayer,2022-02-15 02:05:47.000,11.0,2663.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +402,snownlp,isnowfy/snownlp,chinese-nlp,,https://github.com/isnowfy/snownlp,https://github.com/isnowfy/snownlp,MIT,2013-11-26 11:46:56.000,2020-01-19 02:39:05.000000,2020-01-19 02:39:03,57.0,,1354.0,350.0,14.0,42.0,66.0,6404.0,Python library for processing Chinese text.,8.0,27,False,2015-09-27 16:35:23.000,0.12.3,17.0,snownlp,,,,,22006.0,1429.0,1421.0,https://pypi.org/project/snownlp,2015-09-27 16:35:23.000,8.0,22006.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +403,NuPIC,numenta/nupic,ml-frameworks,,https://github.com/numenta/nupic-legacy,https://github.com/numenta/nupic-legacy,AGPL-3.0,2013-04-05 23:14:27.000,2023-09-01 15:42:16.000000,2023-08-31 21:49:25,6626.0,,1586.0,627.0,2111.0,453.0,1338.0,6337.0,"Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of..",122.0,27,False,2018-06-01 15:39:25.550,1.0.5,53.0,nupic,,,,13.0,2323.0,21.0,21.0,https://pypi.org/project/nupic,2016-09-01 21:30:21.000,,2323.0,,,,3.0,,,,,,,,numenta/nupic-legacy,,,,,,,,,,,,,,,,, +404,VisualDL,PaddlePaddle/VisualDL,ml-experiments,,https://github.com/PaddlePaddle/VisualDL,https://github.com/PaddlePaddle/VisualDL,Apache-2.0,2017-12-20 12:34:31.000,2023-09-20 11:21:28.000000,2023-09-20 11:21:28,918.0,,634.0,147.0,791.0,141.0,356.0,4770.0,Deep Learning Visualization Toolkit.,33.0,27,False,2023-06-05 07:21:00.910,2.5.3,43.0,visualdl,,,['paddle'],451.0,162774.0,84.0,2.0,https://pypi.org/project/visualdl,2023-06-05 07:21:00.910,82.0,162766.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +405,facenet-pytorch,timesler/facenet-pytorch,image,,https://github.com/timesler/facenet-pytorch,https://github.com/timesler/facenet-pytorch,MIT,2019-05-25 01:29:24.000,2024-08-02 08:16:49.000000,2024-08-02 08:16:49,252.0,1.0,942.0,53.0,57.0,73.0,108.0,4465.0,Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models.,18.0,27,True,2024-04-29 17:50:14.000,2.6.0,33.0,facenet-pytorch,,,['pytorch'],1299510.0,92437.0,2303.0,2252.0,https://pypi.org/project/facenet-pytorch,2024-04-29 17:50:14.000,51.0,70412.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +406,vaderSentiment,cjhutto/vaderSentiment,nlp,,https://github.com/cjhutto/vaderSentiment,https://github.com/cjhutto/vaderSentiment,MIT,2014-11-17 16:31:45.000,2024-03-16 11:54:12.000000,2022-04-01 13:57:36,131.0,,999.0,147.0,31.0,52.0,77.0,4406.0,VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based..,11.0,27,False,2020-05-22 15:07:00.000,3.3.2,15.0,vadersentiment,conda-forge/vadersentiment,,,,331985.0,9312.0,9215.0,https://pypi.org/project/vadersentiment,2020-05-22 15:07:00.000,97.0,331644.0,https://anaconda.org/conda-forge/vadersentiment,2023-06-16 19:25:16.902,14701.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +407,MMOCR,open-mmlab/mmocr,ocr,,https://github.com/open-mmlab/mmocr,https://github.com/open-mmlab/mmocr,Apache-2.0,2021-04-07 13:40:21.000,2024-07-15 00:15:22.000000,2024-04-23 02:12:59,1138.0,,740.0,58.0,1015.0,187.0,742.0,4301.0,"OpenMMLab Text Detection, Recognition and Understanding Toolbox.",90.0,27,True,2023-07-04 07:12:41.567,1.0.1,20.0,mmocr,,,['pytorch'],,9557.0,168.0,164.0,https://pypi.org/project/mmocr,2022-05-05 14:21:18.000,4.0,9557.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +408,yellowbrick,DistrictDataLabs/yellowbrick,interpretability,,https://github.com/DistrictDataLabs/yellowbrick,https://github.com/DistrictDataLabs/yellowbrick,Apache-2.0,2016-05-18 14:12:17.000,2024-09-27 16:58:57.000000,2023-07-05 18:14:28,901.0,,554.0,104.0,618.0,98.0,608.0,4276.0,Visual analysis and diagnostic tools to facilitate machine learning model selection.,113.0,27,False,2022-08-21 12:49:43.000,1.5,24.0,yellowbrick,conda-forge/yellowbrick,,['sklearn'],,374809.0,105.0,,https://pypi.org/project/yellowbrick,2022-08-21 16:11:55.287,105.0,373135.0,https://anaconda.org/conda-forge/yellowbrick,2023-06-16 19:21:13.554,83748.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +409,pytorch-summary,sksq96/pytorch-summary,pytorch-utils,,https://github.com/sksq96/pytorch-summary,https://github.com/sksq96/pytorch-summary,MIT,2018-04-23 13:58:04.000,2024-03-02 15:10:25.000000,2021-05-10 18:34:53,57.0,,412.0,37.0,56.0,138.0,43.0,4006.0,Model summary in PyTorch similar to `model.summary()` in Keras.,11.0,27,False,2018-09-26 05:07:28.000,1.5.1,12.0,torchsummary,,,['pytorch'],,202332.0,16210.0,16075.0,https://pypi.org/project/torchsummary,2018-09-26 05:07:28.000,135.0,202332.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +410,TensorFlowOnSpark,yahoo/TensorFlowOnSpark,distributed-ml,,https://github.com/yahoo/TensorFlowOnSpark,https://github.com/yahoo/TensorFlowOnSpark,Apache-2.0,2017-01-20 18:15:57.000,2023-07-10 10:34:11.000000,2023-04-27 20:08:56,632.0,,964.0,282.0,226.0,12.0,356.0,3873.0,TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.,34.0,27,False,2022-04-21 20:41:22.000,2.2.5,32.0,tensorflowonspark,conda-forge/tensorflowonspark,,"['tensorflow', 'spark']",,717492.0,5.0,,https://pypi.org/project/tensorflowonspark,2022-04-21 20:05:56.000,5.0,717074.0,https://anaconda.org/conda-forge/tensorflowonspark,2023-06-16 16:19:28.736,24290.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +411,DeepKE,zjunlp/deepke,nlp,,https://github.com/zjunlp/DeepKE,https://github.com/zjunlp/DeepKE,MIT,2018-08-01 01:54:52.000,2024-09-25 12:12:06.000000,2024-09-14 13:26:49,1669.0,20.0,670.0,44.0,28.0,9.0,553.0,3445.0,[EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction.,31.0,27,True,2023-09-21 04:12:03.000,2.2.7,111.0,deepke,,,['pytorch'],,2466.0,23.0,23.0,https://pypi.org/project/deepke,2023-09-21 04:12:03.000,,2466.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +412,Alphalens,quantopian/alphalens,financial-data,,https://github.com/quantopian/alphalens,https://github.com/quantopian/alphalens,Apache-2.0,2016-06-03 21:49:15.000,2024-02-12 06:44:22.000000,2020-04-27 18:40:41,522.0,,1130.0,166.0,215.0,49.0,146.0,3284.0,Performance analysis of predictive (alpha) stock factors.,26.0,27,False,2020-04-30 15:42:52.000,0.4.0,10.0,alphalens,conda-forge/alphalens,,,,1996.0,713.0,708.0,https://pypi.org/project/alphalens,2020-04-27 21:03:10.000,5.0,1721.0,https://anaconda.org/conda-forge/alphalens,2023-06-16 16:09:06.563,22034.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +413,Sweetviz,fbdesignpro/sweetviz,data-viz,,https://github.com/fbdesignpro/sweetviz,https://github.com/fbdesignpro/sweetviz,MIT,2020-05-09 15:25:47.000,2024-08-06 11:36:13.000000,2023-11-29 13:26:08,135.0,,272.0,52.0,21.0,41.0,97.0,2928.0,"Visualize and compare datasets, target values and associations, with one line of code.",11.0,27,True,2023-11-29 13:30:45.000,2.3.1,35.0,sweetviz,conda-forge/sweetviz,,,,81991.0,2563.0,2533.0,https://pypi.org/project/sweetviz,2023-11-29 13:27:52.000,30.0,81213.0,https://anaconda.org/conda-forge/sweetviz,2023-12-04 12:10:57.449,34245.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +414,IB-insync,erdewit/ib_insync,financial-data,,https://github.com/erdewit/ib_insync,https://github.com/erdewit/ib_insync,BSD-2-Clause,2017-07-12 12:09:24.000,2024-03-14 19:50:06.000000,2024-03-14 19:50:06,769.0,,748.0,181.0,75.0,21.0,565.0,2810.0,Python sync/async framework for Interactive Brokers API.,36.0,27,True,2023-07-02 12:44:10.283,0.9.86,111.0,ib_insync,conda-forge/ib-insync,,,,50890.0,44.0,,https://pypi.org/project/ib_insync,2022-11-21 09:32:01.715,44.0,50147.0,https://anaconda.org/conda-forge/ib-insync,2023-06-16 16:16:07.159,46869.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +415,Foolbox,bethgelab/foolbox,adversarial,,https://github.com/bethgelab/foolbox,https://github.com/bethgelab/foolbox,MIT,2017-06-14 13:05:48.000,2024-04-03 16:17:05.000000,2024-03-04 15:46:26,1711.0,,421.0,46.0,366.0,22.0,350.0,2733.0,"A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX.",35.0,27,True,2024-03-04 20:59:17.000,3.3.4,71.0,foolbox,conda-forge/foolbox,,,,4819.0,643.0,629.0,https://pypi.org/project/foolbox,2024-03-04 20:59:17.000,14.0,4529.0,https://anaconda.org/conda-forge/foolbox,2023-06-16 19:20:41.396,14837.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +416,EvaDB,georgia-tech-db/eva,ml-frameworks,,https://github.com/georgia-tech-db/evadb,https://github.com/georgia-tech-db/evadb,Apache-2.0,2018-09-10 02:26:03.000,2024-05-17 16:33:06.000000,2023-12-03 09:09:14,2415.0,,256.0,27.0,1132.0,77.0,224.0,2630.0,Database system for AI-powered apps.,73.0,27,True,2023-11-19 16:35:30.000,0.3.9,45.0,evadb,,,['pytorch'],415170.0,16075.0,147.0,147.0,https://pypi.org/project/evadb,2023-11-19 16:35:24.000,,699.0,,,,3.0,,,,,,,,georgia-tech-db/evadb,,,,,,,,,,,,,,,,, +417,adapter-transformers,Adapter-Hub/adapter-transformers,others,,https://github.com/adapter-hub/adapters,https://github.com/adapter-hub/adapters,Apache-2.0,2020-04-21 16:21:43.000,2024-08-22 18:44:14.000000,2024-08-22 18:30:45,140.0,18.0,336.0,31.0,327.0,40.0,341.0,2542.0,A Unified Library for Parameter-Efficient and Modular Transfer Learning.,13.0,27,True,2024-08-10 15:47:41.000,1.0.0,21.0,adapter-transformers,,,['huggingface'],,21478.0,113.0,101.0,https://pypi.org/project/adapter-transformers,2024-07-07 11:49:43.000,12.0,21478.0,,,,3.0,,,,,,,,adapter-hub/adapters,,,,,,,,,,,,,,,,, +418,Enigma Catalyst,scrtlabs/catalyst,financial-data,,https://github.com/scrtlabs/catalyst,https://github.com/scrtlabs/catalyst,Apache-2.0,2017-06-13 22:31:34.000,2022-11-26 14:07:55.000000,2021-09-22 15:31:55,6364.0,,719.0,166.0,94.0,136.0,358.0,2486.0,An Algorithmic Trading Library for Crypto-Assets in Python.,152.0,27,False,2018-11-11 16:46:28.000,0.5.21,52.0,enigma-catalyst,,,,,1120.0,28.0,26.0,https://pypi.org/project/enigma-catalyst,2018-11-11 16:46:28.000,2.0,1120.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +419,textacy,chartbeat-labs/textacy,nlp,,https://github.com/chartbeat-labs/textacy,https://github.com/chartbeat-labs/textacy,,2016-02-03 16:52:45.000,2023-09-22 23:38:28.000000,2023-04-03 00:19:55,1816.0,,255.0,87.0,124.0,33.0,230.0,2209.0,"NLP, before and after spaCy.",35.0,27,False,2023-04-02 23:06:15.139,0.13.0,32.0,textacy,conda-forge/textacy,,,,33524.0,1934.0,1868.0,https://pypi.org/project/textacy,2023-04-02 23:06:15.139,66.0,31695.0,https://anaconda.org/conda-forge/textacy,2023-06-16 13:22:44.862,162823.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +420,modAL,modAL-python/modAL,others,,https://github.com/modAL-python/modAL,https://github.com/modAL-python/modAL,MIT,2017-11-14 14:01:15.000,2024-10-03 13:46:17.000000,2023-06-01 12:18:23,739.0,,320.0,44.0,44.0,99.0,56.0,2203.0,A modular active learning framework for Python.,20.0,27,False,2024-10-03 13:46:17.000,0.64.167,1287.0,modAL,,,['sklearn'],41.0,439886.0,56.0,,https://pypi.org/project/modAL,2024-10-03 13:46:17.000,56.0,439886.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +421,mtcnn,ipazc/mtcnn,image,,https://github.com/ipazc/mtcnn,https://github.com/ipazc/mtcnn,MIT,2018-01-05 04:08:32.000,2024-04-26 00:01:37.000000,2021-07-09 11:06:18,56.0,,523.0,43.0,25.0,74.0,38.0,2200.0,"MTCNN face detection implementation for TensorFlow, as a PIP package.",15.0,27,False,2021-07-09 11:16:39.000,0.1.1,11.0,mtcnn,conda-forge/mtcnn,,['tensorflow'],,107654.0,6192.0,6121.0,https://pypi.org/project/mtcnn,2021-07-09 11:16:39.000,71.0,107421.0,https://anaconda.org/conda-forge/mtcnn,2023-06-16 19:18:00.316,13097.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +422,Hyperas,maxpumperla/hyperas,hyperopt,,https://github.com/maxpumperla/hyperas,https://github.com/maxpumperla/hyperas,MIT,2016-02-19 14:45:10.000,2023-01-05 06:02:49.000000,2023-01-05 06:02:49,213.0,,317.0,63.0,38.0,97.0,160.0,2176.0,Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization.,22.0,27,False,2019-02-28 09:16:54.000,0.4.1,9.0,hyperas,,,['tensorflow'],,13028.0,385.0,379.0,https://pypi.org/project/hyperas,2019-02-28 09:16:54.000,6.0,13028.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +423,Pillow-SIMD,uploadcare/pillow-simd,image,,https://github.com/uploadcare/pillow-simd,https://github.com/uploadcare/pillow-simd,PIL,2014-11-12 15:33:02.000,2024-09-26 12:27:55.000000,2024-09-23 17:14:22,14660.0,13.0,85.0,42.0,58.0,13.0,78.0,2158.0,The friendly PIL fork.,435.0,27,False,,,72.0,pillow-simd,,,,,36552.0,65.0,,https://pypi.org/project/pillow-simd,2024-09-23 18:27:59.000,65.0,36552.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +424,Labml,labmlai/labml,ml-experiments,,https://github.com/labmlai/labml,https://github.com/labmlai/labml,MIT,2018-11-16 09:34:48.000,2024-09-26 09:03:32.000000,2024-09-26 09:03:28,2253.0,174.0,135.0,27.0,254.0,5.0,42.0,2018.0,Monitor deep learning model training and hardware usage from your mobile phone.,9.0,27,True,2024-09-15 02:15:00.000,0.5.3,147.0,labml,,,,,5903.0,185.0,171.0,https://pypi.org/project/labml,2024-09-15 02:15:00.000,14.0,5903.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +425,petastorm,uber/petastorm,distributed-ml,,https://github.com/uber/petastorm,https://github.com/uber/petastorm,Apache-2.0,2018-06-15 23:15:29.000,2023-12-02 05:11:31.000000,2023-12-02 05:11:31,691.0,,281.0,40.0,495.0,172.0,151.0,1785.0,Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets..,50.0,27,True,2022-12-16 20:54:02.878,0.12.1,86.0,petastorm,,,,514.0,159570.0,189.0,181.0,https://pypi.org/project/petastorm,2023-02-03 00:33:00.499,8.0,159564.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +426,lightning-flash,Lightning-AI/lightning-flash,pytorch-utils,,https://github.com/Lightning-Universe/lightning-flash,https://github.com/Lightning-Universe/lightning-flash,Apache-2.0,2021-01-28 18:47:16.000,2023-10-08 14:28:44.000000,2023-10-08 14:28:43,1157.0,,213.0,36.0,1081.0,25.0,496.0,1740.0,Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7..,87.0,27,True,2023-06-30 13:37:19.283,0.8.2,40.0,lightning-flash,conda-forge/lightning-flash,,['pytorch'],,2575.0,304.0,299.0,https://pypi.org/project/lightning-flash,2022-05-11 18:17:54.000,5.0,1990.0,https://anaconda.org/conda-forge/lightning-flash,2023-07-04 02:12:18.993,22244.0,2.0,,,,,,,,Lightning-Universe/lightning-flash,,,,,,,,,,,,,,,,, +427,FARM,deepset-ai/FARM,nlp,,https://github.com/deepset-ai/FARM,https://github.com/deepset-ai/FARM,Apache-2.0,2019-07-17 14:51:12.000,2023-12-20 21:18:02.000000,2022-08-31 09:45:24,594.0,,245.0,53.0,446.0,6.0,402.0,1734.0,Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.,37.0,27,False,2023-03-07 23:47:39.075,0.7.1,25.0,farm,conda-forge/farm,,['pytorch'],,18727.0,231.0,228.0,https://pypi.org/project/farm,2020-09-14 15:23:01.000,3.0,18635.0,https://anaconda.org/conda-forge/farm,2023-06-16 19:25:45.236,3901.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +428,cuGraph,rapidsai/cugraph,gpu-utilities,,https://github.com/rapidsai/cugraph,https://github.com/rapidsai/cugraph,Apache-2.0,2018-11-15 18:07:11.000,2024-10-03 15:40:15.000000,2024-10-03 13:51:54,6589.0,110.0,298.0,44.0,2923.0,178.0,1571.0,1681.0,cuGraph - RAPIDS Graph Analytics Library.,116.0,27,True,2024-08-08 02:37:35.000,24.08.00,39.0,cugraph,conda-forge/libcugraph,,,,829.0,4.0,,https://pypi.org/project/cugraph,2020-06-01 20:09:06.000,4.0,269.0,https://anaconda.org/conda-forge/libcugraph,2023-06-16 19:25:39.870,23522.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +429,chainercv,chainer/chainercv,image,,https://github.com/chainer/chainercv,https://github.com/chainer/chainercv,MIT,2017-02-13 04:15:10.000,2021-07-01 16:54:50.000000,2020-01-07 11:48:31,4930.0,,312.0,73.0,742.0,58.0,168.0,1481.0,ChainerCV: a Library for Deep Learning in Computer Vision.,39.0,27,False,2019-06-12 11:55:40.000,0.13.1,25.0,chainercv,,,,,2442.0,408.0,406.0,https://pypi.org/project/chainercv,2019-06-12 11:55:40.000,2.0,2442.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +430,keras-ocr,faustomorales/keras-ocr,ocr,,https://github.com/faustomorales/keras-ocr,https://github.com/faustomorales/keras-ocr,MIT,2019-09-20 23:08:50.000,2024-08-01 05:16:36.000000,2023-11-06 15:20:05,206.0,,330.0,50.0,44.0,99.0,114.0,1389.0,A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.,18.0,27,True,2023-11-06 16:35:44.000,0.9.3,33.0,keras-ocr,anaconda/keras-ocr,,['tensorflow'],1686729.0,72214.0,573.0,565.0,https://pypi.org/project/keras-ocr,2023-11-06 16:35:44.000,8.0,37784.0,https://anaconda.org/anaconda/keras-ocr,2023-06-16 19:23:39.693,331.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +431,underthesea,undertheseanlp/underthesea,nlp,,https://github.com/undertheseanlp/underthesea,https://github.com/undertheseanlp/underthesea,GPL-3.0,2017-03-01 10:24:26.000,2024-06-22 10:18:00.000000,2024-06-22 10:17:04,858.0,,270.0,78.0,487.0,53.0,202.0,1382.0,Underthesea - Vietnamese NLP Toolkit.,19.0,27,False,2024-06-22 10:18:00.000,6.8.4,127.0,underthesea,,,,7077.0,17751.0,1208.0,1197.0,https://pypi.org/project/underthesea,2024-06-22 10:18:00.000,11.0,17672.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +432,DALEX,ModelOriented/DALEX,interpretability,,https://github.com/ModelOriented/DALEX,https://github.com/ModelOriented/DALEX,GPL-3.0,2018-02-18 03:24:12.000,2024-10-02 18:05:47.000000,2024-10-02 18:05:45,687.0,9.0,165.0,49.0,164.0,25.0,384.0,1366.0,moDel Agnostic Language for Exploration and eXplanation.,26.0,27,False,2024-10-02 18:03:07.000,1.7.1,28.0,dalex,conda-forge/dalex,,,,22049.0,189.0,182.0,https://pypi.org/project/dalex,2024-10-02 18:03:07.000,7.0,21686.0,https://anaconda.org/conda-forge/dalex,2024-02-29 10:49:59.696,16360.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +433,Madmom,CPJKU/madmom,audio,,https://github.com/CPJKU/madmom,https://github.com/CPJKU/madmom,BSD-3-Clause,2015-09-08 08:19:06.000,2024-08-25 11:43:40.000000,2024-08-25 11:43:40,1753.0,1.0,202.0,43.0,258.0,68.0,213.0,1309.0,Python audio and music signal processing library.,24.0,27,True,2018-11-14 14:57:41.000,0.16.1,11.0,madmom,,,,,2975.0,464.0,437.0,https://pypi.org/project/madmom,2018-11-14 14:56:22.000,27.0,2975.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +434,empyrical,quantopian/empyrical,financial-data,,https://github.com/quantopian/empyrical,https://github.com/quantopian/empyrical,Apache-2.0,2016-03-18 10:22:52.000,2024-07-26 06:19:42.000000,2020-10-14 13:22:39,167.0,,396.0,71.0,89.0,36.0,26.0,1285.0,Common financial risk and performance metrics. Used by zipline and pyfolio.,23.0,27,False,2020-10-13 21:29:19.000,0.5.5,21.0,empyrical,conda-forge/empyrical,,,,24526.0,1520.0,1464.0,https://pypi.org/project/empyrical,2020-10-13 21:29:19.000,56.0,24163.0,https://anaconda.org/conda-forge/empyrical,2023-06-16 16:07:55.979,29095.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +435,fancyimpute,iskandr/fancyimpute,sklearn-utils,,https://github.com/iskandr/fancyimpute,https://github.com/iskandr/fancyimpute,Apache-2.0,2015-11-05 23:39:34.000,2023-10-25 17:26:07.000000,2021-10-21 17:45:17,202.0,,175.0,25.0,36.0,1.0,116.0,1250.0,Multivariate imputation and matrix completion algorithms implemented in Python.,11.0,27,False,2021-10-21 17:50:40.000,0.7.0,29.0,fancyimpute,,,['sklearn'],,109375.0,1692.0,1671.0,https://pypi.org/project/fancyimpute,2021-10-21 17:50:40.000,21.0,109375.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +436,Streamz,python-streamz/streamz,time-series-data,,https://github.com/python-streamz/streamz,https://github.com/python-streamz/streamz,BSD-3-Clause,2017-04-04 21:45:49.000,2024-06-18 04:54:15.000000,2022-12-22 14:52:10,805.0,,148.0,34.0,215.0,118.0,152.0,1239.0,Real-time stream processing for python.,48.0,27,False,2022-07-27 18:09:03.803,0.6.4,17.0,streamz,conda-forge/streamz,,,,126816.0,549.0,492.0,https://pypi.org/project/streamz,2022-07-27 18:09:03.803,57.0,114689.0,https://anaconda.org/conda-forge/streamz,2023-06-16 13:22:22.238,1030810.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +437,pyclustering,annoviko/pyclustering,others,,https://github.com/annoviko/pyclustering,https://github.com/annoviko/pyclustering,BSD-3-Clause,2014-02-25 18:59:03.000,2024-02-25 11:40:08.000000,2024-02-08 16:58:25,2080.0,,250.0,41.0,39.0,76.0,591.0,1166.0,"pyclustering is a Python, C++ data mining library.",26.0,27,True,2020-11-25 22:33:07.000,0.10.1.2,46.0,pyclustering,conda-forge/pyclustering,,,600.0,29793.0,770.0,738.0,https://pypi.org/project/pyclustering,2020-11-25 22:41:20.000,32.0,28041.0,https://anaconda.org/conda-forge/pyclustering,2023-11-16 19:00:50.847,89082.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +438,bambi,bambinos/bambi,probabilistics,,https://github.com/bambinos/bambi,https://github.com/bambinos/bambi,MIT,2016-05-16 03:21:00.000,2024-09-26 19:00:31.000000,2024-09-26 18:59:07,823.0,12.0,121.0,31.0,425.0,80.0,334.0,1064.0,BAyesian Model-Building Interface (Bambi) in Python.,40.0,27,True,2024-07-10 09:48:04.000,0.14.0,29.0,bambi,conda-forge/bambi,,,,25084.0,156.0,146.0,https://pypi.org/project/bambi,2024-07-10 09:48:04.000,10.0,24273.0,https://anaconda.org/conda-forge/bambi,2024-07-10 16:37:21.380,37343.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +439,TensorFlow Transform,tensorflow/transform,tensorflow-utils,,https://github.com/tensorflow/transform,https://github.com/tensorflow/transform,Apache-2.0,2017-02-10 00:36:53.000,2024-09-10 20:53:34.000000,2024-09-10 20:53:34,939.0,3.0,211.0,58.0,103.0,45.0,174.0,984.0,Input pipeline framework.,29.0,27,True,2024-04-24 22:55:08.000,1.15.0,57.0,tensorflow-transform,,,['tensorflow'],,476223.0,18.0,,https://pypi.org/project/tensorflow-transform,2024-04-24 22:55:08.000,18.0,476223.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +440,Sentinelsat,sentinelsat/sentinelsat,geospatial-data,,https://github.com/sentinelsat/sentinelsat,https://github.com/sentinelsat/sentinelsat,GPL-3.0,2015-05-22 20:32:26.000,2024-10-02 09:22:49.000000,2024-02-29 13:41:11,1144.0,,236.0,61.0,249.0,22.0,367.0,976.0,Search and download Copernicus Sentinel satellite images.,44.0,27,False,2023-03-10 17:53:00.587,1.2.1,41.0,sentinelsat,conda-forge/sentinelsat,,,312.0,30419.0,620.0,586.0,https://pypi.org/project/sentinelsat,2017-03-06 02:33:09.000,34.0,29742.0,https://anaconda.org/conda-forge/sentinelsat,2023-06-16 19:22:55.678,32370.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +441,dask-ml,dask/dask-ml,distributed-ml,,https://github.com/dask/dask-ml,https://github.com/dask/dask-ml,BSD-3-Clause,2017-06-15 15:56:06.000,2024-07-21 18:27:09.000000,2024-07-20 22:10:37,819.0,1.0,255.0,40.0,513.0,279.0,257.0,894.0,Scalable Machine Learning with Dask.,80.0,27,True,2024-04-02 02:33:18.000,2024.4.4,37.0,dask-ml,conda-forge/dask-ml,,,,132908.0,1199.0,1106.0,https://pypi.org/project/dask-ml,2024-04-02 02:33:18.000,93.0,116065.0,https://anaconda.org/conda-forge/dask-ml,2024-06-17 15:22:39.176,892729.0,3.0,,,,,,-2.0,,,,,,,,,,,,,,,,,,, +442,Cornac,PreferredAI/cornac,recommender-systems,,https://github.com/PreferredAI/cornac,https://github.com/PreferredAI/cornac,Apache-2.0,2018-07-17 06:31:35.000,2024-09-14 05:03:32.000000,2024-09-14 05:03:32,1368.0,6.0,139.0,25.0,487.0,17.0,140.0,868.0,A Comparative Framework for Multimodal Recommender Systems.,22.0,27,True,2024-08-15 06:25:57.000,2.2.2,59.0,cornac,conda-forge/cornac,,,,54906.0,254.0,236.0,https://pypi.org/project/cornac,2024-08-15 06:52:10.000,18.0,43830.0,https://anaconda.org/conda-forge/cornac,2024-09-13 18:17:19.820,575971.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +443,pySBD,nipunsadvilkar/pySBD,nlp,,https://github.com/nipunsadvilkar/pySBD,https://github.com/nipunsadvilkar/pySBD,MIT,2017-06-11 06:15:20.000,2024-08-20 16:20:38.000000,2021-02-11 16:40:18,279.0,,81.0,12.0,50.0,22.0,53.0,788.0,pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.,7.0,27,False,2021-02-11 16:42:37.000,0.3.4,15.0,pysbd,conda-forge/pysbd,,,,897432.0,3931.0,3854.0,https://pypi.org/project/pysbd,2021-02-11 16:36:33.000,77.0,897243.0,https://anaconda.org/conda-forge/pysbd,2023-06-16 19:27:37.870,6806.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +444,sklearn-crfsuite,TeamHG-Memex/sklearn-crfsuite,sklearn-utils,,https://github.com/TeamHG-Memex/sklearn-crfsuite,https://github.com/TeamHG-Memex/sklearn-crfsuite,MIT,2015-11-26 21:15:41.000,2024-06-18 11:08:22.000000,2019-12-05 08:17:22,46.0,,217.0,22.0,17.0,46.0,23.0,426.0,scikit-learn inspired API for CRFsuite.,6.0,27,False,2024-06-18 11:08:22.000,0.5.0,11.0,sklearn-crfsuite,conda-forge/sklearn-crfsuite,,['sklearn'],,243406.0,8032.0,7893.0,https://pypi.org/project/sklearn-crfsuite,2024-06-18 11:08:22.000,139.0,242652.0,https://anaconda.org/conda-forge/sklearn-crfsuite,2023-06-16 19:18:37.991,40768.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +445,TTS,mozilla/TTS,audio,,https://github.com/mozilla/TTS,https://github.com/mozilla/TTS,MPL-2.0,2018-01-23 14:22:06.000,2023-11-09 15:37:59.000000,2021-02-12 10:36:31,2184.0,,1203.0,184.0,213.0,30.0,534.0,9262.0,Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts).,56.0,26,False,2021-01-29 00:03:56.000,0.0.9,1.0,,,,,13157.0,292.0,21.0,21.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +446,Trax,google/trax,others,,https://github.com/google/trax,https://github.com/google/trax,Apache-2.0,2019-10-05 15:09:14.000,2024-09-10 20:43:39.000000,2024-09-10 20:43:30,1626.0,7.0,814.0,141.0,1571.0,122.0,125.0,8066.0,Trax Deep Learning with Clear Code and Speed.,80.0,26,True,2021-10-26 20:29:38.000,1.4.1,24.0,trax,,,,,5455.0,176.0,175.0,https://pypi.org/project/trax,2021-10-26 20:29:00.538,1.0,5455.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +447,FATE,FederatedAI/FATE,privacy-ml,,https://github.com/FederatedAI/FATE,https://github.com/FederatedAI/FATE,Apache-2.0,2019-01-24 10:32:43.000,2024-08-21 07:30:27.000000,2024-08-21 07:30:27,13839.0,37.0,1544.0,137.0,3616.0,55.0,1976.0,5664.0,An Industrial Grade Federated Learning Framework.,101.0,26,True,2024-07-31 11:47:02.000,2.2.0,51.0,ETAF,,,,,,,,https://pypi.org/project/ETAF,2020-05-06 09:35:40.000,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +448,flashtext,vi3k6i5/flashtext,nlp,,https://github.com/vi3k6i5/flashtext,https://github.com/vi3k6i5/flashtext,MIT,2017-08-15 18:03:01.000,2024-07-03 08:05:36.000000,2020-05-03 07:13:22,108.0,,599.0,142.0,31.0,69.0,55.0,5583.0,Extract Keywords from sentence or Replace keywords in sentences.,7.0,26,False,,,18.0,flashtext,conda-forge/flashtext,,,,1698055.0,1848.0,1792.0,https://pypi.org/project/flashtext,2018-02-16 05:24:17.000,56.0,1697668.0,https://anaconda.org/conda-forge/flashtext,2023-06-16 19:20:49.106,19742.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +449,Augmentor,mdbloice/Augmentor,image,,https://github.com/mdbloice/Augmentor,https://github.com/mdbloice/Augmentor,MIT,2016-03-01 18:29:55.000,2024-03-21 14:27:34.000000,2023-03-29 07:02:37,553.0,,867.0,123.0,64.0,136.0,74.0,5060.0,Image augmentation library in Python for machine learning.,23.0,26,False,2023-03-29 07:06:01.465,0.2.12,24.0,Augmentor,,,,,8375.0,834.0,822.0,https://pypi.org/project/Augmentor,2022-04-27 09:29:23.000,12.0,8375.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +450,TensorTrade,tensortrade-org/tensortrade,financial-data,,https://github.com/tensortrade-org/tensortrade,https://github.com/tensortrade-org/tensortrade,Apache-2.0,2019-07-30 21:28:32.000,2024-06-09 21:29:46.000000,2024-06-09 21:29:43,1062.0,,982.0,242.0,217.0,51.0,203.0,4517.0,"An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.",61.0,26,True,2021-05-10 18:04:30.000,1.0.3,27.0,tensortrade,conda-forge/tensortrade,,,,1098.0,62.0,61.0,https://pypi.org/project/tensortrade,2021-05-10 18:00:35.000,1.0,1004.0,https://anaconda.org/conda-forge/tensortrade,2023-06-16 19:25:40.006,3979.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +451,SHOGUN,shogun-toolbox/shogun,ml-frameworks,,https://github.com/shogun-toolbox/shogun,https://github.com/shogun-toolbox/shogun,BSD-3-Clause,2011-04-01 10:44:32.000,2023-12-19 18:37:18.000000,2023-12-19 18:37:18,17589.0,,1050.0,215.0,3649.0,429.0,1111.0,3029.0,Unified and efficient Machine Learning.,248.0,26,True,2019-07-05 10:23:31.000,shogun_6.1.4,10.0,,conda-forge/shogun,,,,1682.0,,,,,,,https://anaconda.org/conda-forge/shogun,2023-06-16 13:22:38.816,145551.0,3.0,shogun/shogun,https://hub.docker.com/r/shogun/shogun,2019-01-31 13:45:10.435327,1.0,1516.0,,,,,,,,,shogun,,,,,,,,,,, +452,pytorch-optimizer,jettify/pytorch-optimizer,pytorch-utils,,https://github.com/jettify/pytorch-optimizer,https://github.com/jettify/pytorch-optimizer,Apache-2.0,2020-01-03 03:16:39.000,2024-03-22 11:10:03.000000,2023-06-20 03:14:12,435.0,,295.0,33.0,476.0,54.0,30.0,3023.0,torch-optimizer -- collection of optimizers for Pytorch.,26.0,26,False,2021-10-31 03:00:19.000,0.3.0,21.0,torch_optimizer,conda-forge/torch-optimizer,,['pytorch'],,159273.0,86.0,,https://pypi.org/project/torch_optimizer,2021-10-31 03:00:19.000,86.0,158998.0,https://anaconda.org/conda-forge/torch-optimizer,2023-06-16 19:25:40.043,11556.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +453,TextAttack,QData/TextAttack,adversarial,,https://github.com/QData/TextAttack,https://github.com/QData/TextAttack,MIT,2019-10-15 00:51:44.000,2024-07-25 18:53:58.000000,2024-07-25 18:53:58,2707.0,2.0,381.0,38.0,522.0,59.0,217.0,2921.0,"TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP..",66.0,26,True,2024-03-11 02:20:29.000,0.3.10,47.0,textattack,conda-forge/textattack,,,,4387.0,311.0,300.0,https://pypi.org/project/textattack,2024-03-11 02:20:29.000,11.0,4214.0,https://anaconda.org/conda-forge/textattack,2023-06-16 19:22:50.186,8477.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +454,lazypredict,shankarpandala/lazypredict,hyperopt,,https://github.com/shankarpandala/lazypredict,https://github.com/shankarpandala/lazypredict,MIT,2019-11-16 09:56:35.000,2024-06-02 15:40:01.000000,2024-06-02 15:40:01,251.0,,330.0,30.0,322.0,82.0,39.0,2871.0,Lazy Predict help build a lot of basic models without much code and helps understand which models works better without..,18.0,26,True,2022-09-28 08:51:19.531,0.2.12,12.0,lazypredict,conda-forge/lazypredict,,['sklearn'],,18064.0,1096.0,1095.0,https://pypi.org/project/lazypredict,2022-09-28 08:51:19.531,1.0,17972.0,https://anaconda.org/conda-forge/lazypredict,2023-06-16 19:27:14.287,3528.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +455,m2cgen,BayesWitnesses/m2cgen,model-serialisation,,https://github.com/BayesWitnesses/m2cgen,https://github.com/BayesWitnesses/m2cgen,MIT,2019-01-13 02:32:55.000,2024-08-03 17:30:36.000000,2022-10-05 16:26:03,376.0,,233.0,50.0,482.0,45.0,70.0,2802.0,"Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart,..",14.0,26,False,2022-04-26 01:24:34.000,0.10.0,13.0,m2cgen,,,,84.0,30564.0,262.0,259.0,https://pypi.org/project/m2cgen,2022-04-26 01:24:34.000,3.0,30563.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +456,knockknock,huggingface/knockknock,ml-experiments,,https://github.com/huggingface/knockknock,https://github.com/huggingface/knockknock,MIT,2019-03-20 13:08:55.000,2023-06-23 10:52:46.000000,2020-03-16 04:26:47,75.0,,223.0,64.0,42.0,17.0,24.0,2780.0,Knock Knock: Get notified when your training ends with only two additional lines of code.,20.0,26,False,2020-03-04 04:15:47.000,0.1.8,10.0,knockknock,conda-forge/knockknock,,,,77459.0,1134.0,1129.0,https://pypi.org/project/knockknock,2020-03-16 14:30:23.000,5.0,77191.0,https://anaconda.org/conda-forge/knockknock,2023-06-16 16:18:44.705,16089.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +457,eli5,TeamHG-Memex/eli5,interpretability,,https://github.com/TeamHG-Memex/eli5,https://github.com/TeamHG-Memex/eli5,MIT,2016-09-15 01:04:57.000,2023-06-16 13:18:29.838000,2020-01-22 07:39:36,1198.0,,329.0,67.0,167.0,164.0,113.0,2754.0,A library for debugging/inspecting machine learning classifiers and explaining their predictions.,14.0,26,False,2022-05-11 09:37:12.000,0.13.0,30.0,eli5,conda-forge/eli5,,,,172669.0,61.0,,https://pypi.org/project/eli5,2022-05-11 09:37:12.000,61.0,170828.0,https://anaconda.org/conda-forge/eli5,2023-06-16 13:18:29.838,163867.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +458,TF Ranking,tensorflow/ranking,recommender-systems,,https://github.com/tensorflow/ranking,https://github.com/tensorflow/ranking,Apache-2.0,2018-12-03 20:48:57.000,2024-03-18 21:00:38.000000,2024-03-18 20:31:55,556.0,,473.0,97.0,43.0,89.0,240.0,2736.0,Learning to Rank in TensorFlow.,34.0,26,True,2024-03-18 21:00:38.000,0.5.5,23.0,tensorflow_ranking,,,['tensorflow'],,102403.0,15.0,,https://pypi.org/project/tensorflow_ranking,2024-03-18 21:00:38.000,15.0,102403.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +459,TabNet,dreamquark-ai/tabnet,pytorch-utils,,https://github.com/dreamquark-ai/tabnet,https://github.com/dreamquark-ai/tabnet,MIT,2019-10-17 11:17:32.000,2024-10-01 12:31:58.000000,2023-07-23 14:42:27,191.0,,481.0,38.0,249.0,52.0,288.0,2604.0,PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf.,21.0,26,False,2023-07-23 13:34:05.000,4.1.0,19.0,pytorch-tabnet,conda-forge/pytorch-tabnet,,['pytorch'],,41393.0,11.0,,https://pypi.org/project/pytorch-tabnet,2023-07-23 13:26:57.000,11.0,41154.0,https://anaconda.org/conda-forge/pytorch-tabnet,2023-12-20 04:10:30.919,8147.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +460,Fairness 360,Trusted-AI/AIF360,interpretability,,https://github.com/Trusted-AI/AIF360,https://github.com/Trusted-AI/AIF360,Apache-2.0,2018-08-22 20:47:15.000,2024-07-05 14:45:32.000000,2024-07-05 14:45:32,437.0,,827.0,90.0,286.0,199.0,103.0,2418.0,"A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and..",73.0,26,True,2024-04-08 20:03:12.000,0.6.1,12.0,aif360,conda-forge/aif360,,,,34421.0,520.0,488.0,https://pypi.org/project/aif360,2024-04-08 20:03:12.000,32.0,34123.0,https://anaconda.org/conda-forge/aif360,2024-04-09 06:44:48.814,14642.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +461,Alibi,SeldonIO/alibi,interpretability,,https://github.com/SeldonIO/alibi,https://github.com/SeldonIO/alibi,Intel,2019-02-26 10:10:56.000,2024-07-12 00:39:50.000000,2024-05-21 08:57:13,663.0,,249.0,56.0,659.0,147.0,225.0,2391.0,Algorithms for explaining machine learning models.,22.0,26,False,2024-04-18 15:30:25.000,0.9.6,34.0,alibi,,,,,17465.0,682.0,657.0,https://pypi.org/project/alibi,2024-04-18 15:29:10.000,25.0,17465.0,,,,2.0,,,,,,-2.0,,,,,,,,,,,,,,,,,,, +462,polyglot,aboSamoor/polyglot,nlp,,https://github.com/aboSamoor/polyglot,https://github.com/aboSamoor/polyglot,GPL-3.0,2014-06-30 02:07:45.000,2023-11-10 03:06:08.000000,2020-09-22 22:35:28,271.0,,337.0,77.0,55.0,169.0,68.0,2309.0,Multilingual text (NLP) processing toolkit.,26.0,26,False,2021-12-15 16:11:38.716,15.5.1,9.0,polyglot,,,,,35832.0,1417.0,1368.0,https://pypi.org/project/polyglot,2021-12-15 16:11:38.716,49.0,35832.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +463,scattertext,JasonKessler/scattertext,nlp,,https://github.com/JasonKessler/scattertext,https://github.com/JasonKessler/scattertext,Apache-2.0,2016-07-21 01:47:12.000,2024-09-23 05:35:47.000000,2024-09-23 05:24:01,389.0,1.0,289.0,55.0,14.0,22.0,80.0,2233.0,Beautiful visualizations of how language differs among document types.,14.0,26,True,2024-09-23 05:35:47.000,0.2.2,151.0,scattertext,conda-forge/scattertext,,,,18517.0,634.0,629.0,https://pypi.org/project/scattertext,2024-09-23 05:35:47.000,5.0,17375.0,https://anaconda.org/conda-forge/scattertext,2023-06-16 13:23:09.869,98259.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +464,PyTextRank,DerwenAI/pytextrank,nlp,,https://github.com/DerwenAI/pytextrank,https://github.com/DerwenAI/pytextrank,MIT,2016-10-02 18:39:12.000,2024-07-16 08:39:07.000000,2024-05-21 15:42:46,481.0,,336.0,64.0,160.0,13.0,92.0,2132.0,Python implementation of TextRank algorithms (textgraphs) for phrase extraction.,19.0,26,True,2024-02-21 23:17:37.000,3.3.0,22.0,pytextrank,,,,,64622.0,739.0,720.0,https://pypi.org/project/pytextrank,2024-02-21 23:17:37.000,19.0,64622.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +465,efficientnet,qubvel/efficientnet,tensorflow-utils,,https://github.com/qubvel/efficientnet,https://github.com/qubvel/efficientnet,Apache-2.0,2019-05-30 20:21:09.000,2024-04-08 21:03:52.579000,2021-07-16 09:03:20,66.0,,463.0,38.0,43.0,64.0,58.0,2066.0,Implementation of EfficientNet model. Keras and TensorFlow Keras.,10.0,26,False,2020-09-15 16:26:00.000,1.1.1,9.0,efficientnet,anaconda/efficientnet,,['tensorflow'],260304.0,112438.0,2294.0,2280.0,https://pypi.org/project/efficientnet,2020-09-15 16:26:00.000,14.0,108423.0,https://anaconda.org/anaconda/efficientnet,2024-04-08 21:03:52.579,519.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +466,TensorFlow Privacy,tensorflow/privacy,privacy-ml,,https://github.com/tensorflow/privacy,https://github.com/tensorflow/privacy,Apache-2.0,2018-12-21 18:46:46.000,2024-09-20 02:51:44.000000,2024-09-20 02:51:40,888.0,16.0,444.0,60.0,357.0,117.0,92.0,1927.0,Library for training machine learning models with privacy for training data.,59.0,26,True,2024-02-14 19:18:00.000,0.9.0,31.0,tensorflow-privacy,,,['tensorflow'],173.0,24666.0,21.0,,https://pypi.org/project/tensorflow-privacy,2024-02-14 19:08:50.000,21.0,24664.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +467,Feature Engine,solegalli/feature_engine,others,,https://github.com/solegalli/feature_engine,https://github.com/solegalli/feature_engine,BSD-3-Clause,2020-08-06 19:43:35.639,2024-09-04 08:38:12.000000,2024-08-31 13:01:11,360.0,22.0,307.0,1.0,1.0,1.0,,1841.0,Feature engineering package with sklearn like functionality.,49.0,26,True,2024-08-31 13:22:28.000,1.8.1,41.0,feature_engine,conda-forge/feature_engine,,,,171931.0,159.0,,https://pypi.org/project/feature_engine,2024-08-31 13:22:28.000,159.0,170787.0,https://anaconda.org/conda-forge/feature_engine,2024-09-01 13:51:20.563,57243.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +468,HyperTools,ContextLab/hypertools,data-viz,,https://github.com/ContextLab/hypertools,https://github.com/ContextLab/hypertools,MIT,2016-09-27 21:31:25.000,2024-03-19 21:59:57.000000,2024-03-19 21:59:57,1652.0,,160.0,60.0,68.0,67.0,130.0,1820.0,A Python toolbox for gaining geometric insights into high-dimensional data.,22.0,26,True,2022-02-12 03:29:55.000,0.8.0,21.0,hypertools,,,,48.0,1229.0,482.0,480.0,https://pypi.org/project/hypertools,2022-02-12 02:43:24.000,2.0,1229.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +469,pyts,johannfaouzi/pyts,time-series-data,,https://github.com/johannfaouzi/pyts,https://github.com/johannfaouzi/pyts,BSD-3-Clause,2017-07-31 09:23:16.000,2023-09-11 22:28:27.000000,2023-06-20 13:16:50,391.0,,161.0,25.0,81.0,46.0,35.0,1758.0,A Python package for time series classification.,14.0,26,False,2023-06-18 12:36:11.801,0.13.0,19.0,pyts,conda-forge/pyts,,,,176500.0,738.0,693.0,https://pypi.org/project/pyts,2023-06-18 12:36:11.801,45.0,175750.0,https://anaconda.org/conda-forge/pyts,2023-06-18 16:28:23.633,27008.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +470,avalanche,ContinualAI/avalanche,others,,https://github.com/ContinualAI/avalanche,https://github.com/ContinualAI/avalanche,MIT,2020-03-05 11:32:13.000,2024-06-21 10:56:28.000000,2024-06-03 08:29:10,3912.0,,287.0,29.0,578.0,92.0,721.0,1755.0,Avalanche: an End-to-End Library for Continual Learning based on PyTorch.,80.0,26,True,2024-02-27 17:02:40.000,0.5.0,8.0,avalanche-lib,,,,35.0,2001.0,108.0,105.0,https://pypi.org/project/avalanche-lib,2024-02-27 16:52:08.000,3.0,2001.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +471,AutoViz,AutoViML/AutoViz,data-viz,,https://github.com/AutoViML/AutoViz,https://github.com/AutoViML/AutoViz,Apache-2.0,2019-07-17 17:14:06.000,2024-06-10 12:09:16.000000,2024-06-10 12:07:33,223.0,,196.0,32.0,20.0,3.0,91.0,1711.0,"Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators..",17.0,26,True,2024-06-10 12:09:16.000,0.1.905,90.0,autoviz,conda-forge/autoviz,,,,49712.0,767.0,756.0,https://pypi.org/project/autoviz,2024-06-10 12:09:16.000,11.0,48030.0,https://anaconda.org/conda-forge/autoviz,2024-04-26 17:50:17.078,63928.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +472,TNT,pytorch/tnt,ml-experiments,,https://github.com/pytorch/tnt,https://github.com/pytorch/tnt,BSD-3-Clause,2016-12-10 11:49:58.000,2024-10-02 04:20:21.000000,2024-10-02 04:14:30,999.0,47.0,266.0,43.0,845.0,79.0,66.0,1658.0,A lightweight library for PyTorch training tools and utilities.,132.0,26,True,2018-07-29 23:16:03.000,0.0.4,3.0,torchnet,,,['pytorch'],,5334.0,24.0,,https://pypi.org/project/torchnet,2018-07-29 23:16:03.000,24.0,5334.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +473,gplearn,trevorstephens/gplearn,others,,https://github.com/trevorstephens/gplearn,https://github.com/trevorstephens/gplearn,BSD-3-Clause,2015-03-26 01:01:14.000,2023-11-29 15:04:03.000000,2023-08-12 06:34:27,161.0,,275.0,51.0,87.0,22.0,191.0,1593.0,"Genetic Programming in Python, with a scikit-learn inspired API.",11.0,26,False,2022-05-03 10:56:08.000,0.4.2,7.0,gplearn,conda-forge/gplearn,,['sklearn'],,34083.0,672.0,653.0,https://pypi.org/project/gplearn,2022-05-03 10:47:30.000,19.0,33934.0,https://anaconda.org/conda-forge/gplearn,2023-06-16 19:20:25.471,7786.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +474,Paddle Graph Learning,PaddlePaddle/PGL,graph,,https://github.com/PaddlePaddle/PGL,https://github.com/PaddlePaddle/PGL,Apache-2.0,2019-06-11 03:23:28.000,2023-12-11 05:15:14.000000,2023-09-26 07:34:28,1378.0,,309.0,28.0,380.0,56.0,155.0,1570.0,Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle.,31.0,26,False,2023-09-26 07:49:38.000,2.2.6,21.0,pgl,,,['paddle'],,2907.0,61.0,60.0,https://pypi.org/project/pgl,2023-09-26 07:49:38.000,1.0,2907.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +475,pycm,sepandhaghighi/pycm,others,,https://github.com/sepandhaghighi/pycm,https://github.com/sepandhaghighi/pycm,MIT,2018-01-22 19:46:54.000,2024-10-03 16:01:09.000000,2023-06-07 07:35:59,3033.0,,123.0,35.0,359.0,12.0,187.0,1445.0,Multi-class confusion matrix library in Python.,17.0,26,False,2023-06-07 14:06:28.000,4.0,44.0,pycm,,,,,39807.0,363.0,339.0,https://pypi.org/project/pycm,2023-06-07 14:08:01.991,24.0,39807.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +476,imodels,csinva/imodels,interpretability,,https://github.com/csinva/imodels,https://github.com/csinva/imodels,MIT,2019-07-04 15:38:48.000,2024-09-21 21:59:47.000000,2024-09-21 13:36:46,1061.0,3.0,119.0,24.0,116.0,36.0,56.0,1374.0,"Interpretable ML package for concise, transparent, and accurate predictive modeling (sklearn-compatible).",24.0,26,True,2024-07-02 18:00:43.000,1.4.6,49.0,imodels,,,,,39906.0,114.0,105.0,https://pypi.org/project/imodels,2024-07-02 18:00:43.000,9.0,39906.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +477,responsible-ai-widgets,microsoft/responsible-ai-toolbox,interpretability,,https://github.com/microsoft/responsible-ai-toolbox,https://github.com/microsoft/responsible-ai-toolbox,MIT,2020-07-06 20:46:53.000,2024-08-09 14:16:22.000000,2024-08-07 01:34:48,1970.0,2.0,343.0,31.0,2279.0,86.0,229.0,1346.0,Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and..,43.0,26,True,2024-07-08 18:03:34.000,0.36.0,57.0,raiwidgets,,,"['pytorch', 'tensorflow', 'jupyter']",,10408.0,6.0,,https://pypi.org/project/raiwidgets,2024-07-08 16:42:42.000,6.0,10408.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +478,hls4ml,fastmachinelearning/hls4ml,model-serialisation,,https://github.com/fastmachinelearning/hls4ml,https://github.com/fastmachinelearning/hls4ml,Apache-2.0,2017-10-25 21:43:56.000,2024-10-02 16:50:38.000000,2024-10-02 15:12:44,2134.0,93.0,388.0,58.0,542.0,176.0,257.0,1241.0,Machine learning on FPGAs using HLS.,62.0,26,True,2023-12-19 21:00:58.000,0.8.1,16.0,hls4ml,conda-forge/hls4ml,,"['tensorflow', 'pytorch']",,1269.0,,,https://pypi.org/project/hls4ml,2023-12-19 21:00:58.000,,1092.0,https://anaconda.org/conda-forge/hls4ml,2023-06-16 19:22:51.232,8673.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +479,metricflow,transform-data/metricflow,others,,https://github.com/dbt-labs/metricflow,https://github.com/dbt-labs/metricflow,,2022-04-04 18:33:06.000,2024-10-03 16:08:43.000000,2024-10-02 19:52:43,2538.0,95.0,94.0,19.0,1123.0,76.0,233.0,1132.0,"MetricFlow allows you to define, build, and maintain metrics in code.",45.0,26,False,2024-06-11 22:06:04.000,0.206.0,88.0,metricflow,,,,,23153.0,28.0,24.0,https://pypi.org/project/metricflow,2024-07-09 00:14:45.000,4.0,23153.0,,,,3.0,,,,,,,,dbt-labs/metricflow,,,,,,,,,,,,,,,,, +480,GPyOpt,SheffieldML/GPyOpt,hyperopt,,https://github.com/SheffieldML/GPyOpt,https://github.com/SheffieldML/GPyOpt,BSD-3-Clause,2014-08-13 09:58:25.000,2023-01-17 18:04:41.000000,2023-01-17 18:04:41,515.0,,261.0,44.0,72.0,104.0,188.0,927.0,Gaussian Process Optimization using GPy.,50.0,26,False,2020-03-19 21:21:18.000,1.2.6,11.0,gpyopt,,,,,27848.0,569.0,532.0,https://pypi.org/project/gpyopt,2020-03-19 11:37:45.000,37.0,27848.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +481,scikit-multilearn,scikit-multilearn/scikit-multilearn,sklearn-utils,,https://github.com/scikit-multilearn/scikit-multilearn,https://github.com/scikit-multilearn/scikit-multilearn,BSD-2-Clause,2014-04-30 13:05:44.000,2024-02-01 04:40:03.000000,2023-04-19 21:43:19,547.0,,174.0,33.0,86.0,88.0,123.0,919.0,A scikit-learn based module for multi-label et. al. classification.,28.0,26,False,2018-12-10 16:24:47.000,0.2.0,7.0,scikit-multilearn,,,['sklearn'],,50452.0,1794.0,1769.0,https://pypi.org/project/scikit-multilearn,2018-12-10 16:24:47.000,25.0,50452.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +482,data-validation,tensorflow/data-validation,data-viz,,https://github.com/tensorflow/data-validation,https://github.com/tensorflow/data-validation,Apache-2.0,2018-07-02 15:47:02.000,2024-10-03 01:29:04.000000,2024-10-03 00:42:09,971.0,8.0,169.0,47.0,88.0,37.0,144.0,758.0,Library for exploring and validating machine learning data.,27.0,26,True,2024-10-03 00:57:52.000,1.16.0,47.0,tensorflow-data-validation,,,"['tensorflow', 'jupyter']",863.0,198324.0,31.0,,https://pypi.org/project/tensorflow-data-validation,2024-10-03 01:29:04.000,31.0,198313.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +483,pyvips,libvips/pyvips,image,,https://github.com/libvips/pyvips,https://github.com/libvips/pyvips,MIT,2017-07-28 16:39:43.000,2024-09-21 16:06:04.000000,2024-09-21 16:05:44,484.0,7.0,49.0,9.0,65.0,191.0,251.0,636.0,python binding for libvips using cffi.,16.0,26,True,2024-04-28 11:19:58.000,2.2.3,26.0,pyvips,conda-forge/pyvips,,,,72065.0,878.0,801.0,https://pypi.org/project/pyvips,2024-04-28 11:19:58.000,77.0,69362.0,https://anaconda.org/conda-forge/pyvips,2024-09-06 03:01:34.001,129782.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +484,quinn,MrPowers/quinn,ml-experiments,,https://github.com/mrpowers-io/quinn,https://github.com/mrpowers-io/quinn,Apache-2.0,2017-09-15 13:02:42.000,2024-10-03 00:32:57.000000,2024-10-03 00:31:50,356.0,25.0,96.0,20.0,145.0,36.0,98.0,627.0,pyspark methods to enhance developer productivity.,31.0,26,True,2024-02-13 12:31:37.000,0.10.3,16.0,quinn,,,['spark'],39.0,655406.0,91.0,84.0,https://pypi.org/project/quinn,2024-02-13 12:31:37.000,7.0,655406.0,,,,3.0,,,,,,,,mrpowers-io/quinn,,,,,,,,,,,,,,,,, +485,ml-metadata,google/ml-metadata,ml-experiments,,https://github.com/google/ml-metadata,https://github.com/google/ml-metadata,Apache-2.0,2019-01-15 21:02:09.000,2024-10-01 23:08:54.000000,2024-10-01 22:23:18,849.0,4.0,145.0,29.0,96.0,49.0,75.0,616.0,For recording and retrieving metadata associated with ML developer and data scientist workflows.,19.0,26,True,2024-10-01 23:08:54.000,1.16.0,44.0,ml-metadata,,,,2669.0,77490.0,596.0,565.0,https://pypi.org/project/ml-metadata,2024-10-01 23:08:54.000,31.0,77451.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +486,EarthPy,earthlab/earthpy,geospatial-data,,https://github.com/earthlab/earthpy,https://github.com/earthlab/earthpy,BSD-3-Clause,2018-02-20 03:02:42.000,2024-06-05 18:36:28.000000,2023-08-23 17:20:54,1241.0,,154.0,18.0,717.0,27.0,208.0,500.0,A package built to support working with spatial data using open source python.,44.0,26,False,2021-10-01 22:51:04.000,0.9.4,23.0,earthpy,conda-forge/earthpy,,,,10853.0,386.0,369.0,https://pypi.org/project/earthpy,2021-10-01 22:51:04.000,17.0,9610.0,https://anaconda.org/conda-forge/earthpy,2023-06-16 16:14:50.280,82051.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +487,miceforest,AnotherSamWilson/miceforest,tabular,,https://github.com/AnotherSamWilson/miceforest,https://github.com/AnotherSamWilson/miceforest,MIT,2020-08-22 00:00:22.000,2024-08-02 00:43:48.000000,2024-08-02 00:21:15,339.0,79.0,30.0,9.0,7.0,7.0,78.0,342.0,Multiple Imputation with LightGBM in Python.,8.0,26,True,2024-08-02 00:43:48.000,6.0.3,48.0,miceforest,conda-forge/miceforest,,,,62632.0,170.0,161.0,https://pypi.org/project/miceforest,2024-08-02 00:43:48.000,9.0,62246.0,https://anaconda.org/conda-forge/miceforest,2023-06-16 19:26:58.237,15074.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,, +488,PyText,facebookresearch/pytext,nlp,,https://github.com/facebookresearch/pytext,https://github.com/facebookresearch/pytext,BSD-3-Clause,2018-07-31 23:40:46.000,2022-10-17 19:55:31.000000,2022-10-17 19:51:05,1735.0,,801.0,168.0,1588.0,145.0,74.0,6340.0,A natural language modeling framework based on PyTorch.,234.0,25,False,2020-06-08 23:30:58.000,0.3.3,13.0,pytext-nlp,,,['pytorch'],403.0,312.0,21.0,21.0,https://pypi.org/project/pytext-nlp,2020-06-08 22:49:33.000,,307.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +489,mmdnn,Microsoft/MMdnn,model-serialisation,,https://github.com/microsoft/MMdnn,https://github.com/microsoft/MMdnn,MIT,2017-08-16 08:03:52.000,2024-05-29 15:42:28.000000,2022-09-22 23:59:07,1084.0,,966.0,181.0,328.0,338.0,294.0,5791.0,MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion..,86.0,25,False,2020-07-24 06:34:39.000,0.3.1,12.0,mmdnn,,,,3830.0,532.0,135.0,135.0,https://pypi.org/project/mmdnn,2020-07-24 06:34:39.000,,486.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +490,scikit-opt,guofei9987/scikit-opt,sklearn-utils,,https://github.com/guofei9987/scikit-opt,https://github.com/guofei9987/scikit-opt,MIT,2017-12-05 10:20:41.000,2024-06-23 12:28:48.000000,2024-06-23 12:28:48,343.0,,974.0,46.0,34.0,65.0,112.0,5213.0,"Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune..",24.0,25,True,2022-01-14 08:49:08.000,0.6.6,23.0,scikit-opt,,,['sklearn'],,5568.0,242.0,227.0,https://pypi.org/project/scikit-opt,2022-01-14 08:49:08.000,15.0,5568.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +491,DALI,NVIDIA/DALI,gpu-utilities,,https://github.com/NVIDIA/DALI,https://github.com/NVIDIA/DALI,Apache-2.0,2018-06-01 22:18:01.000,2024-10-01 18:05:02.000000,2024-10-01 18:05:02,3687.0,75.0,615.0,92.0,4049.0,235.0,1403.0,5092.0,A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to..,93.0,25,True,2024-09-30 16:53:23.000,1.42.0,83.0,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +492,AugLy,facebookresearch/AugLy,others,,https://github.com/facebookresearch/AugLy,https://github.com/facebookresearch/AugLy,MIT,2021-06-09 17:57:28.000,2024-09-20 14:28:38.000000,2024-09-20 13:39:24,222.0,4.0,298.0,78.0,179.0,24.0,54.0,4949.0,"A data augmentations library for audio, image, text, and video.",36.0,25,True,2023-12-05 20:52:12.000,1.0.1,18.0,augly,,,,,2793.0,145.0,141.0,https://pypi.org/project/augly,2023-12-05 20:52:12.000,4.0,2793.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +493,Lucid,tensorflow/lucid,interpretability,,https://github.com/tensorflow/lucid,https://github.com/tensorflow/lucid,Apache-2.0,2018-01-25 17:41:44.000,2023-02-06 16:41:16.000000,2021-03-19 15:48:33,667.0,,658.0,158.0,130.0,83.0,101.0,4653.0,A collection of infrastructure and tools for research in neural network interpretability.,40.0,25,False,2021-03-19 16:01:00.000,0.3.10,17.0,lucid,,,['tensorflow'],,851.0,789.0,783.0,https://pypi.org/project/lucid,2021-03-19 16:01:00.000,6.0,851.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +494,Stable Baselines,hill-a/stable-baselines,reinforcement-learning,,https://github.com/hill-a/stable-baselines,https://github.com/hill-a/stable-baselines,MIT,2018-07-02 14:28:59.000,2022-09-04 14:04:44.000000,2022-09-04 14:04:44,839.0,,727.0,62.0,247.0,130.0,824.0,4135.0,"A fork of OpenAI Baselines, implementations of reinforcement learning algorithms.",114.0,25,False,2021-04-06 12:38:10.521,2.10.2,31.0,stable-baselines,,,,,8655.0,21.0,,https://pypi.org/project/stable-baselines,2021-04-06 12:38:10.521,21.0,8655.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +495,Snips NLU,snipsco/snips-nlu,nlp,,https://github.com/snipsco/snips-nlu,https://github.com/snipsco/snips-nlu,Apache-2.0,2017-02-08 16:16:36.000,2023-05-22 16:10:15.000000,2021-05-03 12:18:31,2154.0,,511.0,133.0,649.0,65.0,198.0,3890.0,Snips Python library to extract meaning from text.,22.0,25,False,2020-01-15 10:13:17.000,0.20.2,58.0,snips-nlu,,,,,3473.0,13.0,,https://pypi.org/project/snips-nlu,2020-01-15 10:13:17.000,13.0,3473.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +496,MatchZoo,NTMC-Community/MatchZoo,nlp,,https://github.com/NTMC-Community/MatchZoo,https://github.com/NTMC-Community/MatchZoo,Apache-2.0,2017-06-08 08:55:22.000,2024-08-02 16:23:45.000000,2021-06-02 17:38:16,1810.0,,917.0,176.0,386.0,33.0,430.0,3836.0,"Facilitating the design, comparison and sharing of deep text matching models.",37.0,25,False,2019-10-24 13:09:11.000,2.2.0,5.0,matchzoo,,,['tensorflow'],,119.0,17.0,17.0,https://pypi.org/project/matchzoo,2019-10-24 13:09:11.000,,119.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +497,LIT,PAIR-code/lit,interpretability,,https://github.com/PAIR-code/lit,https://github.com/PAIR-code/lit,Apache-2.0,2020-07-28 13:07:26.000,2024-10-03 01:38:23.000000,2024-06-26 19:01:50,1492.0,,353.0,68.0,1439.0,109.0,85.0,3473.0,The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and..,38.0,25,True,2024-06-26 16:33:42.000,1.2,17.0,lit-nlp,conda-forge/lit-nlp,,,,5658.0,41.0,38.0,https://pypi.org/project/lit-nlp,2024-06-26 16:32:34.000,3.0,3832.0,https://anaconda.org/conda-forge/lit-nlp,2023-06-16 19:21:41.530,89489.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +498,RecBole,RUCAIBox/RecBole,recommender-systems,,https://github.com/RUCAIBox/RecBole,https://github.com/RUCAIBox/RecBole,MIT,2020-06-11 15:18:11.000,2024-09-05 04:03:54.000000,2024-09-05 04:03:53,4353.0,8.0,603.0,41.0,1012.0,283.0,707.0,3373.0,"A unified, comprehensive and efficient recommendation library.",74.0,25,True,2023-11-04 11:23:19.000,1.2.0,10.0,recbole,aibox/recbole,,['pytorch'],,52941.0,2.0,,https://pypi.org/project/recbole,2023-10-31 12:52:34.000,2.0,52810.0,https://anaconda.org/aibox/recbole,2023-11-01 15:53:42.380,6159.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +499,Apache Singa,apache/singa,distributed-ml,,https://github.com/apache/singa,https://github.com/apache/singa,Apache-2.0,2015-04-02 07:00:05.000,2024-09-17 13:21:51.000000,2024-08-17 14:22:50,2847.0,45.0,1239.0,134.0,1114.0,50.0,83.0,3358.0,a distributed deep learning platform.,91.0,25,True,2020-04-21 08:01:08.000,3.0.0,16.0,,nusdbsystem/singa,,,,78.0,4.0,4.0,,,,,https://anaconda.org/nusdbsystem/singa,2023-06-16 13:23:56.805,799.0,3.0,apache/singa,https://hub.docker.com/r/apache/singa,2022-05-31 15:24:19.649658,4.0,8049.0,,,,,,,,,,,,,,,,,,,, +500,Hummingbird,microsoft/hummingbird,model-serialisation,,https://github.com/microsoft/hummingbird,https://github.com/microsoft/hummingbird,MIT,2020-03-12 20:27:03.000,2024-09-27 21:49:19.000000,2024-09-27 21:49:19,477.0,7.0,276.0,51.0,475.0,70.0,260.0,3334.0,Hummingbird compiles trained ML models into tensor computation for faster inference.,40.0,25,True,2024-03-08 20:24:53.000,0.4.11,24.0,hummingbird-ml,conda-forge/hummingbird-ml,,,693.0,8410.0,7.0,,https://pypi.org/project/hummingbird-ml,2024-03-08 20:21:40.000,7.0,7270.0,https://anaconda.org/conda-forge/hummingbird-ml,2024-03-08 22:15:29.532,48501.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +501,TensorForce,tensorforce/tensorforce,reinforcement-learning,,https://github.com/tensorforce/tensorforce,https://github.com/tensorforce/tensorforce,Apache-2.0,2017-03-19 16:24:22.000,2024-07-31 20:26:54.000000,2024-07-31 20:26:47,2116.0,2.0,532.0,141.0,240.0,42.0,635.0,3297.0,Tensorforce: a TensorFlow library for applied reinforcement learning.,85.0,25,True,2021-08-30 20:20:58.000,0.6.5,24.0,tensorforce,,,['tensorflow'],,1070.0,456.0,452.0,https://pypi.org/project/tensorforce,2021-08-30 20:13:45.000,4.0,1070.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +502,pytorchvideo,facebookresearch/pytorchvideo,image,,https://github.com/facebookresearch/pytorchvideo,https://github.com/facebookresearch/pytorchvideo,Apache-2.0,2021-03-09 20:39:13.000,2024-08-13 17:52:35.000000,2024-08-13 17:16:53,181.0,1.0,401.0,156.0,85.0,105.0,101.0,3292.0,A deep learning library for video understanding research.,56.0,25,True,2022-01-20 00:16:35.000,0.1.5,9.0,pytorchvideo,,,['pytorch'],,19467.0,24.0,,https://pypi.org/project/pytorchvideo,2022-01-20 00:16:35.000,24.0,19467.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +503,keras-vis,raghakot/keras-vis,interpretability,,https://github.com/raghakot/keras-vis,https://github.com/raghakot/keras-vis,MIT,2016-11-11 23:27:34.000,2022-02-07 16:06:07.000000,2020-04-20 01:03:12,195.0,,664.0,71.0,25.0,117.0,101.0,2979.0,Neural network visualization toolkit for keras.,10.0,25,False,2017-07-06 05:11:22.255,0.4.1,11.0,keras-vis,,,['tensorflow'],,1340.0,2974.0,2973.0,https://pypi.org/project/keras-vis,2017-07-06 05:11:22.255,1.0,1340.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +504,neuralcoref,huggingface/neuralcoref,nlp,,https://github.com/huggingface/neuralcoref,https://github.com/huggingface/neuralcoref,MIT,2017-07-03 13:04:16.000,2023-06-16 19:17:56.088000,2021-06-22 10:51:48,116.0,,475.0,97.0,49.0,65.0,254.0,2850.0,Fast Coreference Resolution in spaCy with Neural Networks.,21.0,25,False,2019-04-08 11:28:27.000,4.0.0,5.0,neuralcoref,conda-forge/neuralcoref,,,1072.0,3337.0,745.0,724.0,https://pypi.org/project/neuralcoref,2019-04-08 09:56:00.000,21.0,2996.0,https://anaconda.org/conda-forge/neuralcoref,2023-06-16 19:17:56.088,18458.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +505,Kashgari,BrikerMan/Kashgari,nlp,,https://github.com/BrikerMan/Kashgari,https://github.com/BrikerMan/Kashgari,Apache-2.0,2019-01-19 01:53:28.000,2024-09-03 21:05:29.000000,2021-07-09 03:57:16,955.0,,440.0,64.0,123.0,32.0,350.0,2389.0,Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-..,21.0,25,False,2021-07-04 10:44:36.000,2.0.2,24.0,kashgari-tf,,,['tensorflow'],,243.0,71.0,69.0,https://pypi.org/project/kashgari-tf,2019-10-18 07:57:55.000,2.0,243.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +506,Norfair,tryolabs/norfair,image,,https://github.com/tryolabs/norfair,https://github.com/tryolabs/norfair,BSD-3-Clause,2020-07-01 20:15:44.000,2024-07-27 16:14:52.000000,2024-07-27 16:14:15,696.0,1.0,243.0,35.0,147.0,24.0,145.0,2383.0,Lightweight Python library for adding real-time multi-object tracking to any detector.,31.0,25,True,2023-01-04 21:42:02.301,2.2.0,19.0,norfair,,,,333.0,22890.0,233.0,224.0,https://pypi.org/project/norfair,2022-05-30 21:14:58.000,9.0,22884.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +507,pytorch-nlp,PetrochukM/PyTorch-NLP,nlp,,https://github.com/PetrochukM/PyTorch-NLP,https://github.com/PetrochukM/PyTorch-NLP,BSD-3-Clause,2018-02-25 05:00:36.000,2023-07-04 21:11:26.000000,2023-07-04 21:11:26,451.0,,252.0,55.0,56.0,19.0,50.0,2210.0,Basic Utilities for PyTorch Natural Language Processing (NLP).,18.0,25,False,2019-11-04 05:16:00.000,0.5.0,19.0,pytorch-nlp,,,['pytorch'],,8747.0,734.0,715.0,https://pypi.org/project/pytorch-nlp,2019-11-04 04:35:18.000,19.0,8747.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +508,AmpliGraph,Accenture/AmpliGraph,graph,,https://github.com/Accenture/AmpliGraph,https://github.com/Accenture/AmpliGraph,Apache-2.0,2019-01-09 14:52:05.000,2024-04-25 09:54:03.000000,2024-02-28 15:45:58,1631.0,,251.0,66.0,63.0,41.0,198.0,2141.0,Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org.,21.0,25,True,2024-02-28 15:44:03.000,2.1.0,15.0,ampligraph,,,['tensorflow'],,880.0,57.0,55.0,https://pypi.org/project/ampligraph,2024-02-26 17:12:26.000,2.0,880.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +509,PyFlux,RJT1990/pyflux,time-series-data,,https://github.com/RJT1990/pyflux,https://github.com/RJT1990/pyflux,BSD-3-Clause,2016-02-16 20:12:02.000,2023-10-24 16:13:23.000000,2018-12-16 15:30:13,118.0,,240.0,70.0,21.0,93.0,66.0,2107.0,Open source time series library for Python.,6.0,25,False,2017-11-21 16:27:06.000,0.4.16,36.0,pyflux,,,,,281765.0,277.0,273.0,https://pypi.org/project/pyflux,2017-11-21 16:27:06.000,4.0,281765.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +510,garage,rlworkgroup/garage,reinforcement-learning,,https://github.com/rlworkgroup/garage,https://github.com/rlworkgroup/garage,MIT,2018-06-10 21:31:23.000,2023-05-04 14:44:22.000000,2023-01-04 06:06:27,1221.0,,310.0,56.0,1313.0,234.0,810.0,1863.0,A toolkit for reproducible reinforcement learning research.,79.0,25,False,2021-03-23 22:18:36.000,2021.3.0,21.0,garage,,,['tensorflow'],,861.0,118.0,114.0,https://pypi.org/project/garage,2021-03-23 22:18:36.000,4.0,861.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +511,TF Recommenders,tensorflow/recommenders,recommender-systems,,https://github.com/tensorflow/recommenders,https://github.com/tensorflow/recommenders,Apache-2.0,2020-06-26 21:38:01.000,2024-08-16 19:10:13.000000,2024-08-16 19:10:08,367.0,1.0,272.0,49.0,320.0,262.0,184.0,1828.0,TensorFlow Recommenders is a library for building recommender system models using TensorFlow.,43.0,25,True,2023-02-03 02:17:00.422,0.7.3,16.0,tensorflow-recommenders,,,['tensorflow'],,445831.0,2.0,,https://pypi.org/project/tensorflow-recommenders,2023-02-03 02:17:00.422,2.0,445831.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +512,Talos,autonomio/talos,hyperopt,,https://github.com/autonomio/talos,https://github.com/autonomio/talos,MIT,2018-05-04 20:36:41.000,2024-04-22 10:30:49.000000,2024-04-22 10:30:48,671.0,,269.0,27.0,187.0,11.0,390.0,1620.0,Hyperparameter Experiments with TensorFlow and Keras.,23.0,25,True,2024-04-21 09:02:06.000,1.4,18.0,talos,,,['tensorflow'],,2060.0,198.0,190.0,https://pypi.org/project/talos,2024-04-21 09:02:29.000,8.0,2060.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +513,Elephas,maxpumperla/elephas,distributed-ml,,https://github.com/maxpumperla/elephas,https://github.com/maxpumperla/elephas,MIT,2015-08-13 12:09:19.000,2024-08-04 13:39:34.000000,2022-08-31 01:52:51,509.0,,308.0,102.0,49.0,8.0,151.0,1574.0,Distributed Deep learning with Keras & Spark.,27.0,25,False,2024-08-04 13:39:34.000,6.1.0,44.0,elephas,conda-forge/elephas,,"['keras', 'spark']",,39209.0,,,https://pypi.org/project/elephas,2024-08-04 13:39:34.000,,38964.0,https://anaconda.org/conda-forge/elephas,2023-06-16 16:16:35.554,15192.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +514,EfficientNets,rwightman/gen-efficientnet-pytorch,pytorch-utils,,https://github.com/rwightman/gen-efficientnet-pytorch,https://github.com/rwightman/gen-efficientnet-pytorch,Apache-2.0,2019-05-11 19:35:56.000,2024-06-13 23:15:42.000000,2024-06-13 23:15:42,109.0,,214.0,43.0,12.0,4.0,51.0,1565.0,"Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS.",5.0,25,True,2021-07-08 19:05:05.000,1.0.2,10.0,geffnet,,,['pytorch'],,160674.0,256.0,252.0,https://pypi.org/project/geffnet,2021-07-08 19:05:05.000,4.0,160674.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +515,torch-scatter,rusty1s/pytorch_scatter,pytorch-utils,,https://github.com/rusty1s/pytorch_scatter,https://github.com/rusty1s/pytorch_scatter,MIT,2017-12-16 16:34:23.000,2024-08-24 06:55:52.306000,2024-08-15 08:12:47,1036.0,1.0,179.0,17.0,74.0,30.0,358.0,1543.0,PyTorch Extension Library of Optimized Scatter Operations.,30.0,25,True,2023-10-06 08:49:07.000,2.1.2,32.0,torch-scatter,conda-forge/pytorch_scatter,,['pytorch'],,46596.0,152.0,,https://pypi.org/project/torch-scatter,2023-10-06 08:49:07.000,152.0,37231.0,https://anaconda.org/conda-forge/pytorch_scatter,2024-08-24 06:55:52.306,486989.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +516,metric-learn,scikit-learn-contrib/metric-learn,others,,https://github.com/scikit-learn-contrib/metric-learn,https://github.com/scikit-learn-contrib/metric-learn,MIT,2013-11-02 08:29:47.000,2024-08-03 19:34:12.000000,2024-08-03 19:34:12,297.0,2.0,231.0,46.0,186.0,53.0,121.0,1396.0,Metric learning algorithms in Python.,23.0,25,True,2023-10-09 04:53:59.000,0.7.0,11.0,metric-learn,conda-forge/metric-learn,,['sklearn'],,5060.0,411.0,404.0,https://pypi.org/project/metric-learn,2023-10-09 04:53:59.000,7.0,4803.0,https://anaconda.org/conda-forge/metric-learn,2023-10-09 05:53:11.819,13112.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +517,NiftyNet,NifTK/NiftyNet,medical-data,,https://github.com/NifTK/NiftyNet,https://github.com/NifTK/NiftyNet,Apache-2.0,2017-08-30 07:55:43.000,2020-04-21 19:54:52.000000,2020-04-21 19:54:51,3284.0,,404.0,90.0,165.0,103.0,224.0,1364.0,[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-..,61.0,25,False,2019-10-10 10:59:33.000,0.6.0,11.0,niftynet,,,['tensorflow'],,264.0,45.0,45.0,https://pypi.org/project/niftynet,2019-10-10 10:59:33.000,,264.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +518,livelossplot,stared/livelossplot,ml-experiments,,https://github.com/stared/livelossplot,https://github.com/stared/livelossplot,MIT,2018-03-10 17:51:43.000,2022-07-15 12:45:07.000000,2022-04-04 16:13:36,330.0,,143.0,28.0,63.0,9.0,70.0,1295.0,"Live training loss plot in Jupyter Notebook for Keras, PyTorch and others.",17.0,25,False,2022-04-04 16:14:08.000,0.5.5,25.0,livelossplot,,,['jupyter'],,12892.0,1688.0,1672.0,https://pypi.org/project/livelossplot,2022-04-04 16:14:08.000,16.0,12892.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +519,stockstats,jealous/stockstats,financial-data,,https://github.com/jealous/stockstats,https://github.com/jealous/stockstats,BSD-3-Clause,2016-06-05 15:21:22.000,2024-01-05 18:00:58.000000,2024-01-05 18:00:58,67.0,,296.0,55.0,63.0,16.0,111.0,1283.0,Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.,10.0,25,True,2023-07-30 07:07:37.000,0.6.2,24.0,stockstats,,,,,8783.0,1113.0,1102.0,https://pypi.org/project/stockstats,2023-07-30 07:07:37.000,11.0,8783.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +520,iNNvestigate,albermax/innvestigate,interpretability,,https://github.com/albermax/innvestigate,https://github.com/albermax/innvestigate,BSD-2-Clause,2017-12-13 18:11:20.000,2023-12-20 21:48:32.000000,2023-10-12 14:56:47,1107.0,,235.0,34.0,68.0,57.0,206.0,1255.0,A toolbox to iNNvestigate neural networks predictions!.,22.0,25,True,2023-10-12 14:58:48.000,2.1.2,8.0,innvestigate,,,['tensorflow'],151.0,783.0,140.0,138.0,https://pypi.org/project/innvestigate,2023-10-12 14:55:59.000,2.0,778.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +521,RLax,deepmind/rlax,reinforcement-learning,,https://github.com/google-deepmind/rlax,https://github.com/google-deepmind/rlax,Apache-2.0,2020-02-18 07:14:59.000,2024-09-24 21:15:08.000000,2024-05-24 12:07:18,209.0,,85.0,34.0,111.0,8.0,18.0,1242.0,A library of reinforcement learning building blocks in JAX.,21.0,25,True,2023-06-29 15:05:00.621,0.1.6,10.0,rlax,,,['jax'],,23623.0,280.0,269.0,https://pypi.org/project/rlax,2023-01-09 22:29:35.947,11.0,23623.0,,,,3.0,,,,,,,,google-deepmind/rlax,,,,,,,,,,,,,,,,, +522,Node2Vec,eliorc/node2vec,graph,,https://github.com/eliorc/node2vec,https://github.com/eliorc/node2vec,MIT,2017-12-08 13:30:06.000,2024-08-02 11:14:24.000000,2024-08-02 11:14:21,90.0,3.0,245.0,20.0,23.0,5.0,88.0,1216.0,Implementation of the node2vec algorithm.,16.0,25,True,2024-08-02 11:13:59.000,0.5.0,19.0,node2vec,conda-forge/node2vec,,,,17162.0,719.0,688.0,https://pypi.org/project/node2vec,2024-08-02 11:12:23.000,31.0,16763.0,https://anaconda.org/conda-forge/node2vec,2023-06-16 16:13:35.056,30767.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +523,GPUtil,anderskm/gputil,gpu-utilities,,https://github.com/anderskm/gputil,https://github.com/anderskm/gputil,MIT,2017-01-16 11:57:43.000,2024-04-13 14:07:28.000000,2019-08-16 09:00:15,140.0,,119.0,11.0,23.0,28.0,15.0,1128.0,A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python.,14.0,25,False,2018-12-18 09:12:13.000,1.4.0,8.0,gputil,,,,,513954.0,6606.0,6134.0,https://pypi.org/project/gputil,2018-12-18 09:12:13.000,472.0,513954.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +524,SMAC3,automl/SMAC3,hyperopt,,https://github.com/automl/SMAC3,https://github.com/automl/SMAC3,BSD-1-Clause,2016-08-17 10:58:05.000,2024-09-27 15:25:46.000000,2024-07-24 14:36:04,2074.0,1.0,218.0,42.0,606.0,101.0,443.0,1067.0,SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization.,41.0,25,False,2024-07-24 14:42:30.000,2.2.0,49.0,smac,conda-forge/smac,,,,22797.0,40.0,,https://pypi.org/project/smac,2024-07-24 14:42:30.000,40.0,22234.0,https://anaconda.org/conda-forge/smac,2024-05-16 20:20:11.437,24224.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +525,aequitas,dssg/aequitas,interpretability,,https://github.com/dssg/aequitas,https://github.com/dssg/aequitas,MIT,2018-02-13 19:40:30.000,2024-09-11 16:24:06.000000,2024-09-11 10:27:00,921.0,10.0,113.0,43.0,118.0,51.0,48.0,678.0,Bias Auditing & Fair ML Toolkit.,22.0,25,True,2024-01-30 12:03:19.000,1.0.0,18.0,aequitas,,,,,22922.0,178.0,170.0,https://pypi.org/project/aequitas,2024-01-30 12:03:19.000,8.0,22922.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +526,FEDOT,nccr-itmo/FEDOT,hyperopt,,https://github.com/aimclub/FEDOT,https://github.com/aimclub/FEDOT,BSD-3-Clause,2020-01-13 12:48:37.000,2024-09-30 08:54:39.000000,2024-09-30 08:54:32,897.0,18.0,86.0,10.0,764.0,98.0,450.0,636.0,Automated modeling and machine learning framework FEDOT.,34.0,25,True,2024-08-28 11:07:57.000,0.7.4,23.0,fedot,,,,,1542.0,57.0,52.0,https://pypi.org/project/fedot,2024-08-28 10:34:09.000,5.0,1542.0,,,,2.0,,,,,,,,aimclub/FEDOT,,,,,,,,,,,,,,,,, +527,pyRiemann,pyRiemann/pyRiemann,ml-frameworks,,https://github.com/pyRiemann/pyRiemann,https://github.com/pyRiemann/pyRiemann,BSD-3-Clause,2015-04-19 16:01:44.000,2024-10-03 11:40:14.000000,2024-10-03 11:40:14,627.0,9.0,162.0,31.0,221.0,4.0,103.0,625.0,Machine learning for multivariate data through the Riemannian geometry of positive definite matrices in Python.,35.0,25,True,2024-04-10 11:45:27.000,0.6,12.0,pyriemann,conda-forge/pyriemann,https://pyriemann.readthedocs.io/en/latest/,['sklearn'],,34721.0,420.0,392.0,https://pypi.org/project/pyriemann,2024-04-10 11:46:01.000,28.0,34437.0,https://anaconda.org/conda-forge/pyriemann,2024-04-10 14:21:44.720,7959.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +528,MedPy,loli/medpy,medical-data,,https://github.com/loli/medpy,https://github.com/loli/medpy,GPL-3.0,2012-05-11 10:57:34.000,2024-09-18 15:23:28.852000,2024-07-23 14:46:53,413.0,6.0,137.0,21.0,49.0,1.0,87.0,570.0,Medical image processing in Python.,20.0,25,False,2024-07-23 14:23:57.000,0.5.2,11.0,MedPy,conda-forge/medpy,,,,29855.0,2287.0,2234.0,https://pypi.org/project/MedPy,2024-07-23 14:23:57.000,53.0,28391.0,https://anaconda.org/conda-forge/medpy,2024-09-18 15:23:28.852,58578.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +529,SKLL,EducationalTestingService/skll,ml-experiments,,https://github.com/EducationalTestingService/skll,https://github.com/EducationalTestingService/skll,BSD-1-Clause,2013-08-02 14:31:46.000,2024-09-11 13:18:14.000000,2024-09-11 13:18:14,3767.0,16.0,69.0,46.0,359.0,21.0,397.0,552.0,SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.,37.0,25,False,2024-03-08 20:13:23.000,5.0.1,71.0,skll,conda-forge/skll,,['sklearn'],15.0,2095.0,47.0,45.0,https://pypi.org/project/skll,2024-03-08 20:01:40.000,2.0,1613.0,https://anaconda.org/conda-forge/skll,2024-03-09 00:32:37.185,16880.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +530,Hyperactive,SimonBlanke/Hyperactive,hyperopt,,https://github.com/SimonBlanke/Hyperactive,https://github.com/SimonBlanke/Hyperactive,MIT,2018-11-01 08:53:30.000,2024-10-01 13:58:06.000000,2024-10-01 13:25:16,2378.0,91.0,42.0,12.0,16.0,15.0,61.0,508.0,An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.,8.0,25,True,2024-08-14 15:06:05.000,4.8.0,80.0,hyperactive,,,,247.0,2494.0,47.0,34.0,https://pypi.org/project/hyperactive,2024-08-15 14:23:15.000,13.0,2491.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +531,gokart,m3dev/gokart,ml-experiments,,https://github.com/m3dev/gokart,https://github.com/m3dev/gokart,MIT,2018-12-23 07:40:27.000,2024-09-29 01:46:34.000000,2024-09-29 01:46:34,567.0,16.0,57.0,41.0,318.0,20.0,63.0,313.0,"Gokart solves reproducibility, task dependencies, constraints of good code, and ease of use for Machine Learning..",41.0,25,True,2024-09-19 03:59:24.000,1.6.1,84.0,gokart,,,,,4114.0,88.0,80.0,https://pypi.org/project/gokart,2024-09-19 03:59:24.000,8.0,4114.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +532,lkpy,lenskit/lkpy,recommender-systems,,https://github.com/lenskit/lkpy,https://github.com/lenskit/lkpy,MIT,2018-06-08 21:05:10.000,2024-09-26 17:28:38.000000,2024-09-26 17:15:34,3625.0,511.0,60.0,7.0,325.0,45.0,103.0,264.0,Python recommendation toolkit.,14.0,25,False,2024-02-16 21:04:30.000,0.14.4,25.0,lenskit,conda-forge/lenskit,,,,2629.0,120.0,114.0,https://pypi.org/project/lenskit,2024-02-16 21:03:49.000,6.0,1914.0,https://anaconda.org/conda-forge/lenskit,2024-04-18 13:51:51.378,33627.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +533,T5,google-research/text-to-text-transfer-transformer,nlp,,https://github.com/google-research/text-to-text-transfer-transformer,https://github.com/google-research/text-to-text-transfer-transformer,Apache-2.0,2019-10-17 21:45:14.000,2024-09-20 17:59:42.000000,2024-06-28 18:04:28,599.0,,747.0,106.0,590.0,107.0,345.0,6129.0,Code for the paper Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.,59.0,24,True,2023-03-30 16:55:07.154,0.9.4,29.0,t5,,,['tensorflow'],,57917.0,2.0,,https://pypi.org/project/t5,2021-10-18 13:55:26.000,2.0,57917.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +534,MMF,facebookresearch/mmf,image,,https://github.com/facebookresearch/mmf,https://github.com/facebookresearch/mmf,BSD-3-Clause,2018-06-27 04:52:40.000,2024-05-25 03:02:04.000000,2024-05-25 02:46:48,1097.0,,924.0,114.0,675.0,146.0,543.0,5485.0,A modular framework for vision & language multimodal research from Facebook AI Research (FAIR).,118.0,24,True,2019-08-26 19:04:21.000,0.3.1,12.0,mmf,,,['pytorch'],,668.0,21.0,20.0,https://pypi.org/project/mmf,2020-06-12 22:15:02.000,1.0,668.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +535,Image Deduplicator,idealo/imagededup,image,,https://github.com/idealo/imagededup,https://github.com/idealo/imagededup,Apache-2.0,2019-04-05 12:10:54.000,2024-07-03 14:09:40.000000,2023-04-28 16:55:30,521.0,,450.0,63.0,94.0,36.0,88.0,5121.0,Finding duplicate images made easy!.,15.0,24,False,2023-04-28 17:29:01.612,0.3.2,12.0,imagededup,,,['tensorflow'],,56737.0,149.0,144.0,https://pypi.org/project/imagededup,2023-04-28 17:29:01.612,5.0,56737.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +536,textgenrnn,minimaxir/textgenrnn,nlp,,https://github.com/minimaxir/textgenrnn,https://github.com/minimaxir/textgenrnn,MIT,2017-08-07 02:13:37.000,2022-07-17 19:07:49.000000,2020-07-14 02:41:10,174.0,,749.0,136.0,43.0,141.0,98.0,4939.0,Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines..,19.0,24,False,2020-02-03 01:07:00.000,2.0.0,14.0,textgenrnn,,,['tensorflow'],958.0,890.0,1148.0,1132.0,https://pypi.org/project/textgenrnn,2020-02-02 21:16:15.000,16.0,878.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +537,segmentation_models,qubvel/segmentation_models,image,,https://github.com/qubvel/segmentation_models,https://github.com/qubvel/segmentation_models,MIT,2018-06-05 13:27:56.000,2024-08-21 11:16:16.000000,2024-08-21 11:16:16,206.0,1.0,1014.0,92.0,64.0,258.0,270.0,4730.0,Segmentation models with pretrained backbones. Keras and TensorFlow Keras.,15.0,24,True,2020-01-10 11:36:02.000,1.0.1,8.0,segmentation_models,,,['tensorflow'],,29250.0,28.0,,https://pypi.org/project/segmentation_models,2020-01-10 11:36:02.000,28.0,29250.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +538,PyAlgoTrade,gbeced/pyalgotrade,financial-data,,https://github.com/gbeced/pyalgotrade,https://github.com/gbeced/pyalgotrade,Apache-2.0,2012-03-07 01:09:54.000,2023-11-13 07:16:00.000000,2023-03-05 22:07:59,1158.0,,1385.0,353.0,59.0,51.0,,4404.0,Python Algorithmic Trading Library.,11.0,24,False,,,8.0,pyalgotrade,,,,,1017.0,192.0,192.0,https://pypi.org/project/pyalgotrade,2018-08-21 01:48:25.000,,1017.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +539,OpenPrompt,thunlp/OpenPrompt,nlp,,https://github.com/thunlp/OpenPrompt,https://github.com/thunlp/OpenPrompt,Apache-2.0,2021-09-30 09:38:45.000,2024-07-16 03:48:08.000000,2023-05-06 14:09:10,264.0,,441.0,44.0,54.0,88.0,174.0,4319.0,An Open-Source Framework for Prompt-Learning.,22.0,24,False,2022-07-06 14:27:42.000,1.0.1,5.0,openprompt,,,,,675.0,150.0,147.0,https://pypi.org/project/openprompt,2022-07-06 14:27:42.000,3.0,675.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +540,neon,NervanaSystems/neon,ml-frameworks,,https://github.com/NervanaSystems/neon,https://github.com/NervanaSystems/neon,Apache-2.0,2014-10-16 01:00:17.000,2024-08-13 17:48:41.449000,2019-05-22 18:27:54,1118.0,,811.0,326.0,89.0,91.0,306.0,3872.0,Intel Nervana reference deep learning framework committed to best performance on all hardware.,108.0,24,False,2018-01-05 23:25:04.000,2.6.0,32.0,nervananeon,anaconda/neon,,,412.0,199.0,,,https://pypi.org/project/nervananeon,2018-01-05 23:25:04.000,,179.0,https://anaconda.org/anaconda/neon,2024-08-13 17:48:41.449,1728.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +541,Chartify,spotify/chartify,data-viz,,https://github.com/spotify/chartify,https://github.com/spotify/chartify,Apache-2.0,2018-09-17 14:12:05.000,2024-03-20 17:23:36.000000,2023-10-12 08:57:51,209.0,,324.0,86.0,95.0,51.0,32.0,3527.0,Python library that makes it easy for data scientists to create charts.,25.0,24,True,2023-10-12 09:02:25.000,4.0.5,25.0,chartify,conda-forge/chartify,,,,3501.0,87.0,78.0,https://pypi.org/project/chartify,2023-10-12 09:02:25.000,9.0,3037.0,https://anaconda.org/conda-forge/chartify,2023-06-16 16:11:58.064,32956.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +542,AdaNet,tensorflow/adanet,hyperopt,,https://github.com/tensorflow/adanet,https://github.com/tensorflow/adanet,Apache-2.0,2018-06-28 20:20:24.000,2023-11-30 16:30:21.000000,2021-08-30 19:33:24,440.0,,527.0,173.0,50.0,67.0,49.0,3470.0,Fast and flexible AutoML with learning guarantees.,27.0,24,False,2020-07-09 21:03:28.000,0.9.0,13.0,adanet,,,['tensorflow'],,676.0,61.0,59.0,https://pypi.org/project/adanet,2020-07-09 21:03:28.000,2.0,676.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +543,DeepVariant,google/deepvariant,medical-data,,https://github.com/google/deepvariant,https://github.com/google/deepvariant,BSD-3-Clause,2017-11-23 01:56:22.000,2024-09-11 23:08:58.000000,2024-03-18 19:51:35,2374.0,,712.0,156.0,62.0,6.0,822.0,3183.0,DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA..,30.0,24,True,2024-03-19 19:20:10.000,1.6.1,21.0,,bioconda/deepvariant,,['tensorflow'],4776.0,913.0,,,,,,,https://anaconda.org/bioconda/deepvariant,2023-06-16 16:08:50.013,69268.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +544,Towhee,towhee-io/towhee,ml-frameworks,,https://github.com/towhee-io/towhee,https://github.com/towhee-io/towhee,Apache-2.0,2021-07-13 08:28:50.000,2024-01-20 00:01:11.000000,2024-01-20 00:01:11,1576.0,,246.0,30.0,2016.0,5.0,659.0,3180.0,Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.,35.0,24,True,2023-12-05 02:33:36.000,1.1.3,26.0,towhee,,,,2706.0,14651.0,,,https://pypi.org/project/towhee,2023-12-04 07:25:10.000,,14572.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +545,xLearn,aksnzhy/xlearn,ml-frameworks,,https://github.com/aksnzhy/xlearn,https://github.com/aksnzhy/xlearn,Apache-2.0,2017-06-10 08:09:31.000,2023-08-28 05:14:10.000000,2022-06-05 10:44:18,1342.0,,528.0,110.0,73.0,193.0,118.0,3085.0,"High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization..",30.0,24,False,2019-04-25 02:10:05.000,0.4.4,15.0,xlearn,,,,4704.0,987.0,162.0,150.0,https://pypi.org/project/xlearn,2018-12-04 11:05:06.000,12.0,928.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +546,DDSP,magenta/ddsp,audio,,https://github.com/magenta/ddsp,https://github.com/magenta/ddsp,Apache-2.0,2020-01-14 18:38:27.000,2024-09-23 16:30:28.000000,2024-09-23 16:30:23,472.0,1.0,323.0,66.0,319.0,50.0,124.0,2871.0,DDSP: Differentiable Digital Signal Processing.,32.0,24,True,2023-05-25 02:30:41.654,3.7.0,55.0,ddsp,conda-forge/ddsp,,['tensorflow'],,3232.0,59.0,58.0,https://pypi.org/project/ddsp,2022-05-25 17:42:19.000,1.0,2884.0,https://anaconda.org/conda-forge/ddsp,2023-06-16 19:19:34.916,18104.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +547,ffcv,libffcv/ffcv,image,,https://github.com/libffcv/ffcv,https://github.com/libffcv/ffcv,Apache-2.0,2021-10-13 17:03:39.000,2024-06-16 15:59:22.000000,2024-05-06 14:20:38,944.0,,171.0,20.0,79.0,103.0,178.0,2842.0,FFCV: Fast Forward Computer Vision (and other ML workloads!).,31.0,24,True,2023-03-05 05:44:00.314,1.0.2,7.0,ffcv,,,,,1402.0,54.0,53.0,https://pypi.org/project/ffcv,2022-01-28 20:40:22.000,1.0,1402.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +548,tensorflow-graphics,tensorflow/graphics,image,,https://github.com/tensorflow/graphics,https://github.com/tensorflow/graphics,Apache-2.0,2019-01-08 10:39:44.000,2024-08-01 02:26:29.000000,2024-08-01 02:26:24,769.0,2.0,361.0,90.0,550.0,143.0,95.0,2749.0,TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow.,39.0,24,True,2021-12-03 22:33:39.000,2021.12.3,25.0,tensorflow-graphics,,,['tensorflow'],,16757.0,11.0,,https://pypi.org/project/tensorflow-graphics,2021-12-03 22:33:39.000,11.0,16757.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +549,HiPlot,facebookresearch/hiplot,data-viz,,https://github.com/facebookresearch/hiplot,https://github.com/facebookresearch/hiplot,MIT,2019-11-08 13:06:41.000,2024-01-10 07:43:27.000000,2023-07-19 07:40:10,212.0,,139.0,28.0,200.0,20.0,73.0,2743.0,HiPlot makes understanding high dimensional data easy.,9.0,24,False,2022-05-31 09:00:35.000,0.1.33,113.0,hiplot,conda-forge/hiplot,,,,59171.0,465.0,439.0,https://pypi.org/project/hiplot,2022-07-05 08:51:12.000,26.0,55480.0,https://anaconda.org/conda-forge/hiplot,2023-06-16 19:18:10.488,206730.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +550,Mars,mars-project/mars,others,,https://github.com/mars-project/mars,https://github.com/mars-project/mars,Apache-2.0,2018-12-05 16:04:03.000,2024-01-02 10:00:14.000000,2023-11-02 03:13:52,1297.0,,325.0,92.0,2157.0,214.0,982.0,2701.0,"Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and..",53.0,24,True,2023-02-03 19:04:11.785,0.8.1,118.0,pymars,,,,,13705.0,2.0,,https://pypi.org/project/pymars,2022-06-12 11:43:21.000,2.0,13705.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +551,promptsource,bigscience-workshop/promptsource,nlp,,https://github.com/bigscience-workshop/promptsource,https://github.com/bigscience-workshop/promptsource,Apache-2.0,2021-05-19 15:26:25.000,2023-10-23 17:59:41.000000,2023-10-23 17:59:40,755.0,,345.0,32.0,695.0,43.0,151.0,2654.0,"Toolkit for creating, sharing and using natural language prompts.",65.0,24,True,2022-07-02 17:57:17.000,0.2.3,5.0,promptsource,,,,,413.0,114.0,110.0,https://pypi.org/project/promptsource,2022-04-18 22:31:03.000,4.0,413.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +552,pytorch_geometric_temporal,benedekrozemberczki/pytorch_geometric_temporal,graph,,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,MIT,2020-06-27 01:11:33.000,2024-06-18 18:31:40.000000,2023-07-01 21:40:58,1936.0,,367.0,39.0,92.0,41.0,158.0,2629.0,PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021).,28.0,24,False,2022-09-04 16:37:07.000,0.54.0,46.0,torch-geometric-temporal,,,['pytorch'],,2084.0,7.0,,https://pypi.org/project/torch-geometric-temporal,2022-09-04 16:10:00.738,7.0,2084.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +553,python_speech_features,jameslyons/python_speech_features,audio,,https://github.com/jameslyons/python_speech_features,https://github.com/jameslyons/python_speech_features,MIT,2013-10-31 02:42:08.000,2021-10-20 10:08:48.000000,2020-12-31 13:27:01,120.0,,618.0,88.0,29.0,25.0,52.0,2367.0,This library provides common speech features for ASR including MFCCs and filterbank energies.,19.0,24,False,2020-01-14 14:12:10.000,0.6.1,6.0,python_speech_features,,,,,23523.0,763.0,709.0,https://pypi.org/project/python_speech_features,2017-08-16 01:46:13.000,54.0,23523.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +554,Neural Tangents,google/neural-tangents,ml-frameworks,,https://github.com/google/neural-tangents,https://github.com/google/neural-tangents,Apache-2.0,2019-04-08 16:48:48.000,2024-03-01 17:17:03.000000,2024-03-01 17:16:56,650.0,,236.0,62.0,32.0,60.0,96.0,2273.0,Fast and Easy Infinite Neural Networks in Python.,29.0,24,True,2023-12-11 14:10:12.000,0.6.5,31.0,neural-tangents,,,,496.0,2784.0,113.0,112.0,https://pypi.org/project/neural-tangents,2023-12-11 14:00:20.000,1.0,2775.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +555,CausalNex,quantumblacklabs/causalnex,interpretability,,https://github.com/mckinsey/causalnex,https://github.com/mckinsey/causalnex,Apache-2.0,2019-12-12 15:26:09.000,2024-06-26 08:22:56.000000,2024-02-10 10:17:50,226.0,,255.0,49.0,98.0,23.0,116.0,2221.0,A Python library that helps data scientists to infer causation rather than observing correlation.,40.0,24,True,2023-06-22 13:11:59.629,0.12.1,20.0,causalnex,,,"['pytorch', 'sklearn']",,5436.0,132.0,128.0,https://pypi.org/project/causalnex,2023-06-22 13:11:59.629,4.0,5436.0,,,,3.0,,,,,,,,mckinsey/causalnex,,,,,,,,,,,,,,,,, +556,FinTA,peerchemist/finta,financial-data,,https://github.com/peerchemist/finta,https://github.com/peerchemist/finta,LGPL-3.0,2016-09-01 21:02:46.000,2022-07-24 08:40:51.000000,2022-07-24 08:40:51,394.0,,669.0,84.0,48.0,24.0,64.0,2114.0,Common financial technical indicators implemented in Pandas.,28.0,24,False,2021-04-03 08:51:49.000,1.3,19.0,finta,,,,,9790.0,548.0,536.0,https://pypi.org/project/finta,2020-10-21 11:39:44.000,12.0,9790.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +557,checklist,marcotcr/checklist,interpretability,,https://github.com/marcotcr/checklist,https://github.com/marcotcr/checklist,MIT,2020-03-09 17:18:49.000,2024-01-09 01:46:07.000000,2023-09-26 17:27:56,255.0,,203.0,29.0,65.0,11.0,83.0,2002.0,Beyond Accuracy: Behavioral Testing of NLP models with CheckList.,15.0,24,False,2021-05-24 16:45:59.000,0.0.11,10.0,checklist,conda-forge/checklist,,['jupyter'],,1379.0,371.0,363.0,https://pypi.org/project/checklist,2021-05-24 16:45:59.000,8.0,1203.0,https://anaconda.org/conda-forge/checklist,2023-06-16 19:24:18.549,7962.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +558,Hivemind,learning-at-home/hivemind,distributed-ml,,https://github.com/learning-at-home/hivemind,https://github.com/learning-at-home/hivemind,MIT,2020-02-27 13:50:19.000,2024-07-16 07:33:35.000000,2024-07-15 22:10:03,578.0,3.0,154.0,56.0,466.0,74.0,103.0,2001.0,Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.,32.0,24,True,2023-08-31 20:07:52.000,1.1.10,27.0,hivemind,,,,,1286.0,121.0,111.0,https://pypi.org/project/hivemind,2023-08-31 20:07:10.000,10.0,1286.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +559,sense2vec,explosion/sense2vec,nlp,,https://github.com/explosion/sense2vec,https://github.com/explosion/sense2vec,MIT,2016-01-23 22:15:49.000,2024-03-17 06:23:46.000000,2023-04-20 14:53:46,460.0,,238.0,50.0,49.0,23.0,91.0,1618.0,Contextually-keyed word vectors.,19.0,24,False,2023-04-17 14:14:02.218,2.0.2,24.0,sense2vec,conda-forge/sense2vec,,,67690.0,4888.0,419.0,406.0,https://pypi.org/project/sense2vec,2021-04-19 07:05:28.000,13.0,2813.0,https://anaconda.org/conda-forge/sense2vec,2023-09-22 07:25:32.800,47150.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +560,Explainability 360,Trusted-AI/AIX360,interpretability,,https://github.com/Trusted-AI/AIX360,https://github.com/Trusted-AI/AIX360,Apache-2.0,2019-07-11 07:17:48.000,2024-07-16 05:54:41.000000,2024-07-16 05:54:41,602.0,5.0,302.0,56.0,116.0,54.0,31.0,1615.0,Interpretability and explainability of data and machine learning models.,41.0,24,True,2023-07-31 18:54:38.000,0.3.0,5.0,aix360,,,,,1182.0,102.0,101.0,https://pypi.org/project/aix360,2023-07-31 18:54:38.000,1.0,1182.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +561,Higher,facebookresearch/higher,pytorch-utils,,https://github.com/facebookresearch/higher,https://github.com/facebookresearch/higher,Apache-2.0,2019-09-06 18:58:36.000,2022-03-25 15:56:51.000000,2021-10-26 07:08:33,31.0,,122.0,28.0,31.0,63.0,50.0,1583.0,higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather..,9.0,24,False,2020-07-14 12:20:32.000,0.2.1,2.0,higher,,,['pytorch'],,215084.0,533.0,526.0,https://pypi.org/project/higher,2020-07-14 12:20:32.000,7.0,215084.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +562,CrypTen,facebookresearch/CrypTen,privacy-ml,,https://github.com/facebookresearch/CrypTen,https://github.com/facebookresearch/CrypTen,MIT,2019-08-15 00:00:31.000,2024-07-18 17:36:15.000000,2024-07-18 17:32:59,357.0,3.0,270.0,43.0,256.0,77.0,197.0,1524.0,A framework for Privacy Preserving Machine Learning.,38.0,24,True,2022-12-08 22:11:59.883,0.4.1,3.0,crypten,,,['pytorch'],,410.0,45.0,44.0,https://pypi.org/project/crypten,2022-12-08 22:11:59.883,1.0,410.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +563,fklearn,nubank/fklearn,ml-frameworks,,https://github.com/nubank/fklearn,https://github.com/nubank/fklearn,Apache-2.0,2019-02-27 14:32:57.000,2024-08-14 21:07:18.000000,2024-08-14 20:38:00,159.0,2.0,163.0,104.0,189.0,40.0,25.0,1507.0,fklearn: Functional Machine Learning.,56.0,24,True,2024-08-14 21:07:18.000,4.0.0,34.0,fklearn,,,,,1962.0,14.0,14.0,https://pypi.org/project/fklearn,2024-08-14 21:07:18.000,,1962.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +564,Opik,comet-ml/opik,nlp,,https://github.com/comet-ml/opik,https://github.com/comet-ml/opik,Apache-2.0,2023-05-10 12:57:13.000,2024-10-03 16:14:19.000000,2024-10-03 13:13:40,196.0,196.0,87.0,24.0,320.0,7.0,16.0,1504.0,Open-source end-to-end LLM Development Platform.,23.0,24,True,2024-10-03 09:58:00.000,0.1.18,46.0,opik,,,,,2526.0,,,https://pypi.org/project/opik,2024-10-03 09:58:22.000,,2526.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,True +565,sklearn-porter,nok/sklearn-porter,model-serialisation,,https://github.com/nok/sklearn-porter,https://github.com/nok/sklearn-porter,BSD-3-Clause,2016-06-22 22:21:34.000,2024-06-12 09:16:57.000000,2022-05-22 23:59:48,1219.0,,164.0,32.0,24.0,42.0,34.0,1285.0,"Transpile trained scikit-learn estimators to C, Java, JavaScript and others.",12.0,24,False,2019-12-18 13:39:19.000,0.7.4,20.0,sklearn-porter,,,['sklearn'],,1619.0,67.0,67.0,https://pypi.org/project/sklearn-porter,2019-12-18 13:39:19.000,,1619.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +566,TFEncrypted,tf-encrypted/tf-encrypted,privacy-ml,,https://github.com/tf-encrypted/tf-encrypted,https://github.com/tf-encrypted/tf-encrypted,Apache-2.0,2018-03-21 18:22:13.000,2024-09-25 05:32:38.000000,2024-09-25 05:32:38,605.0,1.0,206.0,53.0,461.0,145.0,295.0,1205.0,A Framework for Encrypted Machine Learning in TensorFlow.,29.0,24,True,2023-02-08 02:53:00.720,0.9.1,41.0,tf-encrypted,,,['tensorflow'],,885.0,76.0,67.0,https://pypi.org/project/tf-encrypted,2022-11-16 09:12:55.841,9.0,885.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +567,ChainerRL,chainer/chainerrl,reinforcement-learning,,https://github.com/chainer/chainerrl,https://github.com/chainer/chainerrl,MIT,2017-01-30 04:58:15.000,2021-08-10 18:25:48.000000,2021-04-17 06:02:30,3471.0,,221.0,70.0,415.0,75.0,147.0,1166.0,ChainerRL is a deep reinforcement learning library built on top of Chainer.,28.0,24,False,2020-02-14 05:35:56.000,0.8.0,10.0,chainerrl,,,,,644.0,177.0,172.0,https://pypi.org/project/chainerrl,2020-02-14 05:35:56.000,5.0,644.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +568,keract,philipperemy/keract,interpretability,,https://github.com/philipperemy/keract,https://github.com/philipperemy/keract,MIT,2017-05-17 04:50:57.000,2024-08-14 00:01:42.000000,2023-11-17 10:59:26,412.0,,184.0,33.0,74.0,3.0,86.0,1042.0,Layers Outputs and Gradients in Keras. Made easy.,16.0,24,True,2022-09-25 14:40:40.377,4.5.1,39.0,keract,,,['tensorflow'],,5304.0,235.0,226.0,https://pypi.org/project/keract,2022-09-25 14:40:40.377,9.0,5304.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +569,Plotly-Resampler,predict-idlab/plotly-resampler,data-viz,,https://github.com/predict-idlab/plotly-resampler,https://github.com/predict-idlab/plotly-resampler,MIT,2021-11-20 10:51:56.000,2024-09-09 08:45:12.000000,2024-08-24 15:16:00,781.0,1.0,67.0,14.0,130.0,51.0,117.0,1015.0,Visualize large time series data with plotly.py.,12.0,24,True,2024-03-27 07:58:10.000,0.10.0,62.0,plotly-resampler,conda-forge/plotly-resampler,,,,348775.0,1438.0,1414.0,https://pypi.org/project/plotly-resampler,2024-03-27 07:54:02.000,24.0,346700.0,https://anaconda.org/conda-forge/plotly-resampler,2024-03-29 13:25:52.761,68490.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +570,scikit-cuda,lebedov/scikit-cuda,gpu-utilities,,https://github.com/lebedov/scikit-cuda,https://github.com/lebedov/scikit-cuda,BSD-3-Clause,2010-09-27 02:02:07.000,2023-10-15 05:57:46.000000,2023-10-15 05:57:46,1036.0,,174.0,49.0,114.0,53.0,170.0,986.0,Python interface to GPU-powered libraries.,44.0,24,True,2019-05-27 00:29:00.000,0.5.3,7.0,scikit-cuda,,,,,706.0,328.0,305.0,https://pypi.org/project/scikit-cuda,2019-05-27 00:29:00.000,23.0,706.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +571,Neural Structured Learning,tensorflow/neural-structured-learning,tensorflow-utils,,https://github.com/tensorflow/neural-structured-learning,https://github.com/tensorflow/neural-structured-learning,Apache-2.0,2019-08-27 21:48:16.000,2024-06-18 13:19:37.000000,2024-06-18 13:19:34,568.0,,191.0,48.0,61.0,1.0,68.0,982.0,Training neural models with structured signals.,38.0,24,True,2022-07-29 21:05:16.715,1.4.0,8.0,neural-structured-learning,,,['tensorflow'],,7806.0,486.0,483.0,https://pypi.org/project/neural-structured-learning,2022-07-29 21:05:16.715,3.0,7806.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +572,Runhouse,run-house/runhouse,ml-frameworks,,https://github.com/run-house/runhouse,https://github.com/run-house/runhouse,Apache-2.0,2022-05-10 14:10:51.000,2024-10-02 22:17:12.000000,2024-09-29 07:46:54,1771.0,255.0,35.0,9.0,1251.0,9.0,42.0,965.0,"Dispatch and distribute your ML training to serverless clusters in Python, like PyTorch for ML infra. Iterable,..",15.0,24,True,2024-09-18 03:52:33.000,0.0.35,43.0,runhouse,,,,44.0,27363.0,1.0,,https://pypi.org/project/runhouse,2024-09-18 03:50:09.000,1.0,27361.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +573,TSFEL,fraunhoferportugal/tsfel,time-series-data,,https://github.com/fraunhoferportugal/tsfel,https://github.com/fraunhoferportugal/tsfel,BSD-3-Clause,2019-01-09 16:41:30.000,2024-09-28 20:43:04.000000,2024-09-12 10:35:25,429.0,33.0,143.0,20.0,87.0,5.0,71.0,915.0,An intuitive library to extract features from time series.,20.0,24,True,2024-09-12 10:50:23.000,0.1.9,13.0,tsfel,,,,,23891.0,157.0,150.0,https://pypi.org/project/tsfel,2024-09-12 10:43:35.000,7.0,23891.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +574,NeuPy,itdxer/neupy,ml-frameworks,,https://github.com/itdxer/neupy,https://github.com/itdxer/neupy,MIT,2015-08-24 19:45:11.000,2023-01-03 21:24:56.000000,2023-01-03 21:24:56,1146.0,,158.0,33.0,25.0,34.0,236.0,742.0,NeuPy is a Tensorflow based python library for prototyping and building neural networks.,8.0,24,False,2019-04-04 19:44:59.000,0.8.2,34.0,neupy,,,,,3764.0,181.0,177.0,https://pypi.org/project/neupy,2019-04-04 19:43:06.000,4.0,3764.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +575,python-ternary,marcharper/python-ternary,data-viz,,https://github.com/marcharper/python-ternary,https://github.com/marcharper/python-ternary,MIT,2012-08-07 23:48:55.000,2024-06-12 05:36:27.000000,2024-06-12 05:36:27,401.0,,155.0,17.0,73.0,35.0,109.0,726.0,Ternary plotting library for python with matplotlib.,28.0,24,True,2021-02-17 18:38:15.000,1.0.8,11.0,python-ternary,conda-forge/python-ternary,,,32.0,21964.0,220.0,188.0,https://pypi.org/project/python-ternary,2021-02-17 18:38:15.000,32.0,21090.0,https://anaconda.org/conda-forge/python-ternary,2023-06-16 13:17:10.682,89208.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +576,BioPandas,rasbt/biopandas,others,,https://github.com/BioPandas/biopandas,https://github.com/BioPandas/biopandas,BSD-3-Clause,2015-11-21 00:00:14.000,2024-08-02 05:29:18.056000,2024-08-01 17:33:11,360.0,5.0,119.0,17.0,84.0,21.0,38.0,709.0,Working with molecular structures in pandas DataFrames.,18.0,24,True,2024-08-01 17:35:04.000,0.5.1,21.0,biopandas,conda-forge/biopandas,,['pandas'],,19455.0,324.0,286.0,https://pypi.org/project/biopandas,2024-08-01 17:35:04.000,38.0,16198.0,https://anaconda.org/conda-forge/biopandas,2024-08-02 05:29:18.056,162850.0,3.0,,,,,,,,BioPandas/biopandas,,,,,,,,,,,,,,,,, +577,tinytag,devsnd/tinytag,audio,,https://github.com/tinytag/tinytag,https://github.com/tinytag/tinytag,MIT,2014-01-27 15:27:01.000,2024-08-29 13:38:23.000000,2024-08-29 13:37:57,573.0,8.0,101.0,23.0,102.0,15.0,112.0,692.0,Python library for reading audio file metadata.,27.0,24,True,2023-10-26 19:30:36.000,1.10.1,41.0,tinytag,,,,,27342.0,113.0,,https://pypi.org/project/tinytag,2023-10-26 19:30:36.000,113.0,27342.0,,,,3.0,,,,,,,,tinytag/tinytag,,,,,,,,,,,,,,,,, +578,Mapbox GL,mapbox/mapboxgl-jupyter,geospatial-data,,https://github.com/mapbox/mapboxgl-jupyter,https://github.com/mapbox/mapboxgl-jupyter,MIT,2017-08-08 15:10:51.000,2022-01-11 05:18:07.000000,2021-04-19 05:00:36,221.0,,136.0,132.0,91.0,42.0,67.0,665.0,Use Mapbox GL JS to visualize data in a Python Jupyter notebook.,22.0,24,False,2019-06-03 21:24:10.000,0.10.2,20.0,mapboxgl,,,['jupyter'],,18422.0,226.0,214.0,https://pypi.org/project/mapboxgl,2019-06-02 16:02:54.380,12.0,18422.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +579,whoosh,mchaput/whoosh,nlp,,https://github.com/mchaput/whoosh,https://github.com/mchaput/whoosh,BSD-1-Clause,2015-04-17 19:34:47.000,2024-09-03 08:52:17.073000,2022-01-15 18:08:37,1718.0,,68.0,15.0,13.0,35.0,7.0,570.0,Pure-Python full-text search library.,42.0,24,False,2016-04-04 01:19:40.000,2.7.4,141.0,whoosh,conda-forge/whoosh,,,,423168.0,232.0,,https://pypi.org/project/whoosh,2016-04-04 01:19:40.000,232.0,415263.0,https://anaconda.org/conda-forge/whoosh,2024-09-03 08:52:17.073,324131.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +580,findspark,minrk/findspark,others,,https://github.com/minrk/findspark,https://github.com/minrk/findspark,BSD-3-Clause,2015-06-12 21:34:06.000,2023-06-16 13:16:45.065000,2022-02-11 07:59:35,77.0,,72.0,8.0,17.0,11.0,12.0,510.0,Find pyspark to make it importable.,15.0,24,False,2022-02-11 08:02:06.000,2.0.1,14.0,findspark,conda-forge/findspark,,['spark'],,2493856.0,4893.0,4790.0,https://pypi.org/project/findspark,2022-02-11 08:02:06.000,103.0,2484621.0,https://anaconda.org/conda-forge/findspark,2023-06-16 13:16:45.065,923556.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +581,lightwood,mindsdb/lightwood,hyperopt,,https://github.com/mindsdb/lightwood,https://github.com/mindsdb/lightwood,GPL-3.0,2019-05-20 21:31:14.000,2024-09-04 00:22:36.000000,2024-05-15 12:32:23,5658.0,,93.0,19.0,764.0,16.0,446.0,442.0,Lightwood is Legos for Machine Learning.,46.0,24,False,2024-05-15 13:29:47.000,24.5.2.0,204.0,lightwood,,,['pytorch'],,10351.0,71.0,69.0,https://pypi.org/project/lightwood,2024-05-15 13:37:20.000,2.0,10351.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +582,NIPY,nipy/nipy,medical-data,,https://github.com/nipy/nipy,https://github.com/nipy/nipy,,2010-05-02 10:00:33.000,2024-09-21 13:32:52.000000,2024-09-21 13:32:52,6720.0,4.0,144.0,36.0,406.0,38.0,138.0,383.0,Neuroimaging in Python FMRI analysis package.,70.0,24,False,2023-12-21 16:45:52.000,0.6.0,8.0,nipy,conda-forge/nipy,,,,44656.0,258.0,234.0,https://pypi.org/project/nipy,2023-12-21 16:45:52.000,24.0,3128.0,https://anaconda.org/conda-forge/nipy,2024-07-28 17:27:34.085,124585.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +583,vega,vega/ipyvega,data-viz,,https://github.com/vega/ipyvega,https://github.com/vega/ipyvega,BSD-3-Clause,2015-08-04 03:22:47.000,2024-10-01 02:29:20.000000,2024-10-01 02:29:19,677.0,15.0,65.0,29.0,486.0,16.0,91.0,372.0,IPython/Jupyter notebook module for Vega and Vega-Lite.,15.0,24,True,2024-09-25 14:29:32.000,4.1.0,41.0,vega,conda-forge/vega,,['jupyter'],,25697.0,21.0,4.0,https://pypi.org/project/vega,2024-09-25 14:29:32.000,17.0,13469.0,https://anaconda.org/conda-forge/vega,2024-09-25 20:44:27.334,648119.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +584,scikit-posthocs,maximtrp/scikit-posthocs,probabilistics,,https://github.com/maximtrp/scikit-posthocs,https://github.com/maximtrp/scikit-posthocs,MIT,2017-06-22 19:41:37.000,2024-09-19 13:30:16.000000,2024-09-19 13:30:16,537.0,2.0,40.0,5.0,16.0,7.0,52.0,340.0,Multiple Pairwise Comparisons (Post Hoc) Tests in Python.,15.0,24,True,2024-02-18 18:57:32.000,0.9.0,25.0,scikit-posthocs,conda-forge/scikit-posthocs,,['sklearn'],64.0,105239.0,879.0,831.0,https://pypi.org/project/scikit-posthocs,2024-02-18 18:57:32.000,48.0,85035.0,https://anaconda.org/conda-forge/scikit-posthocs,2024-07-08 15:42:44.119,969807.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +585,ivis,beringresearch/ivis,data-viz,,https://github.com/beringresearch/ivis,https://github.com/beringresearch/ivis,Apache-2.0,2018-08-13 08:31:01.000,2024-09-29 23:44:29.000000,2024-09-29 23:43:33,584.0,453.0,43.0,13.0,64.0,3.0,57.0,330.0,Dimensionality reduction in very large datasets using Siamese Networks.,10.0,24,True,2024-06-13 05:28:35.000,2.0.11,36.0,ivis,,,['tensorflow'],,1488.0,37.0,35.0,https://pypi.org/project/ivis,2024-06-13 05:28:35.000,2.0,1488.0,,,,3.0,,,,,,4.0,,,,,,,,,,,,,,,,,,, +586,prettymaps,marceloprates/prettymaps,geospatial-data,,https://github.com/marceloprates/prettymaps,https://github.com/marceloprates/prettymaps,AGPL-3.0,2021-03-05 12:22:05.000,2024-07-06 13:17:45.000000,2024-07-02 22:54:35,200.0,,521.0,81.0,39.0,63.0,27.0,11116.0,"A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely..",16.0,23,False,2024-07-02 22:56:31.000,1.3.0,13.0,prettymaps,conda-forge/prettymaps,,,,1014.0,56.0,56.0,https://pypi.org/project/prettymaps,2024-07-02 22:56:31.000,,910.0,https://anaconda.org/conda-forge/prettymaps,2024-07-03 13:55:21.192,3441.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +587,Dejavu,worldveil/dejavu,audio,,https://github.com/worldveil/dejavu,https://github.com/worldveil/dejavu,MIT,2013-11-19 02:50:35.000,2024-04-22 19:23:00.000000,2020-06-03 05:58:03,146.0,,1434.0,262.0,69.0,132.0,136.0,6412.0,Audio fingerprinting and recognition in Python.,23.0,23,False,2015-04-19 21:20:16.000,0.1.3,4.0,PyDejavu,,,,,296.0,21.0,21.0,https://pypi.org/project/PyDejavu,2015-04-19 21:20:16.000,,296.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +588,Backtesting.py,kernc/backtesting.py,financial-data,,https://github.com/kernc/backtesting.py,https://github.com/kernc/backtesting.py,AGPL-3.0,2019-01-02 03:11:32.000,2024-08-06 12:05:27.000000,2023-01-15 11:37:16,279.0,,1049.0,119.0,105.0,172.0,356.0,5386.0,Backtest trading strategies in Python.,19.0,23,False,2021-12-13 01:36:44.000,0.3.3,21.0,backtesting,,,,,16424.0,6.0,,https://pypi.org/project/backtesting,2021-12-13 01:36:44.000,6.0,16424.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +589,MMLSpark,microsoft/SynapseML,distributed-ml,,https://github.com/microsoft/SynapseML,https://github.com/microsoft/SynapseML,MIT,2017-06-05 08:23:44.000,2024-10-01 23:10:08.000000,2024-09-10 16:49:55,1635.0,25.0,830.0,145.0,1563.0,371.0,403.0,5054.0,Simple and Distributed Machine Learning.,120.0,23,True,2024-08-30 02:16:51.000,1.0.5,51.0,mmlspark,,,['spark'],,,,,https://pypi.org/project/mmlspark,2020-03-18 01:27:31.000,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +590,deep-daze,lucidrains/deep-daze,image,,https://github.com/lucidrains/deep-daze,https://github.com/lucidrains/deep-daze,MIT,2021-01-17 06:00:50.000,2022-03-13 19:09:50.000000,2022-03-13 19:08:59,231.0,,321.0,75.0,37.0,95.0,75.0,4372.0,Simple command line tool for text to image generation using OpenAIs CLIP and Siren (Implicit neural representation..,14.0,23,False,2022-03-13 19:09:50.000,0.11.1,67.0,deep-daze,,,,,1282.0,53.0,53.0,https://pypi.org/project/deep-daze,2022-03-13 19:09:50.000,,1282.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +591,PyTorch-BigGraph,facebookresearch/PyTorch-BigGraph,graph,,https://github.com/facebookresearch/PyTorch-BigGraph,https://github.com/facebookresearch/PyTorch-BigGraph,BSD-3-Clause,2018-10-01 20:41:16.000,2024-03-03 01:42:05.000000,2024-03-03 01:31:19,175.0,,447.0,89.0,78.0,67.0,137.0,3367.0,Generate embeddings from large-scale graph-structured data.,32.0,23,True,2019-10-14 16:45:11.000,1.0.0,4.0,torchbiggraph,,,['pytorch'],207.0,424893.0,2.0,,https://pypi.org/project/torchbiggraph,2019-10-14 16:44:41.000,2.0,424890.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +592,PARL,PaddlePaddle/PARL,reinforcement-learning,,https://github.com/PaddlePaddle/PARL,https://github.com/PaddlePaddle/PARL,Apache-2.0,2018-04-25 17:54:22.000,2024-07-30 10:50:08.000000,2024-07-09 09:34:16,515.0,1.0,815.0,62.0,642.0,133.0,404.0,3253.0,A high-performance distributed training framework for Reinforcement Learning.,45.0,23,True,2023-03-14 02:03:08.557,2.2.1,29.0,parl,,,['paddle'],,1000.0,130.0,129.0,https://pypi.org/project/parl,2022-05-13 04:46:41.000,1.0,1000.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +593,vissl,facebookresearch/vissl,image,,https://github.com/facebookresearch/vissl,https://github.com/facebookresearch/vissl,MIT,2020-04-09 19:40:33.000,2024-03-03 01:41:37.000000,2024-03-03 01:31:19,412.0,,328.0,54.0,414.0,82.0,106.0,3253.0,"VISSL is FAIRs library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.",38.0,23,True,2021-11-02 17:21:02.000,0.1.6,6.0,vissl,,,['pytorch'],,199.0,52.0,51.0,https://pypi.org/project/vissl,2021-11-02 15:36:07.000,1.0,199.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +594,PandasGUI,adamerose/pandasgui,data-viz,,https://github.com/adamerose/PandasGUI,https://github.com/adamerose/PandasGUI,MIT-0,2019-06-12 02:19:42.000,2023-12-07 20:40:17.000000,2023-12-07 20:40:17,720.0,,232.0,54.0,36.0,75.0,125.0,3181.0,A GUI for Pandas DataFrames.,14.0,23,False,2023-02-11 20:04:00.783,0.2.14,44.0,pandasgui,conda-forge/pandasgui,,['pandas'],,4632.0,438.0,424.0,https://pypi.org/project/pandasgui,2021-08-14 09:14:51.000,14.0,4027.0,https://anaconda.org/conda-forge/pandasgui,2023-06-16 19:24:31.206,27229.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +595,Luminoth,tryolabs/luminoth,image,,https://github.com/tryolabs/luminoth,https://github.com/tryolabs/luminoth,BSD-3-Clause,2017-02-16 15:07:46.000,2023-03-24 23:52:00.000000,2020-01-07 20:53:25,838.0,,413.0,130.0,136.0,60.0,128.0,2403.0,Deep Learning toolkit for Computer Vision.,15.0,23,False,2018-11-09 21:35:17.000,0.2.3,10.0,luminoth,,,['tensorflow'],12875.0,1280.0,67.0,65.0,https://pypi.org/project/luminoth,2018-11-09 21:35:17.000,2.0,1127.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +596,kubric,google-research/kubric,image,,https://github.com/google-research/kubric,https://github.com/google-research/kubric,Apache-2.0,2020-07-22 19:56:38.000,2024-06-27 09:47:40.000000,2024-06-27 09:47:40,546.0,,223.0,41.0,133.0,63.0,127.0,2299.0,A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as..,30.0,23,True,2023-12-27 00:46:01.000,2023.12.27,773.0,kubric-nightly,,,,,14642.0,6.0,6.0,https://pypi.org/project/kubric-nightly,2023-12-27 00:46:01.000,,14642.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +597,Karate Club,benedekrozemberczki/karateclub,graph,,https://github.com/benedekrozemberczki/karateclub,https://github.com/benedekrozemberczki/karateclub,GPL-3.0,2019-12-05 17:35:56.000,2024-07-17 19:00:35.000000,2024-07-17 19:00:21,2319.0,5.0,244.0,38.0,39.0,7.0,114.0,2144.0,Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020).,20.0,23,False,2022-12-04 19:04:05.000,_10304,107.0,karateclub,conda-forge/karateclub,,,,6775.0,277.0,264.0,https://pypi.org/project/karateclub,2022-10-22 13:31:38.000,13.0,6255.0,https://anaconda.org/conda-forge/karateclub,2023-06-16 19:21:04.092,26559.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +598,SRU,asappresearch/sru,pytorch-utils,,https://github.com/asappresearch/sru,https://github.com/asappresearch/sru,MIT,2017-08-28 20:37:41.000,2022-01-04 21:17:53.000000,2021-05-19 15:52:48,400.0,,299.0,64.0,78.0,65.0,68.0,2106.0,Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755).,21.0,23,False,2021-05-18 16:13:10.000,2.6.0,32.0,sru,,,['pytorch'],,1561.0,34.0,31.0,https://pypi.org/project/sru,2021-06-17 23:33:37.000,3.0,1561.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +599,Torchmeta,tristandeleu/pytorch-meta,pytorch-utils,,https://github.com/tristandeleu/pytorch-meta,https://github.com/tristandeleu/pytorch-meta,MIT,2018-12-04 23:36:45.000,2023-07-17 16:05:00.000000,2021-09-20 16:03:46,382.0,,247.0,44.0,33.0,51.0,90.0,1973.0,A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch.,12.0,23,False,2021-09-20 16:06:33.000,1.8.0,28.0,torchmeta,,,['pytorch'],,4957.0,179.0,179.0,https://pypi.org/project/torchmeta,2021-09-20 16:06:33.000,,4957.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +600,Vulkan Kompute,KomputeProject/kompute,gpu-utilities,,https://github.com/KomputeProject/kompute,https://github.com/KomputeProject/kompute,Apache-2.0,2020-07-29 05:23:33.000,2024-09-28 12:41:59.000000,2024-09-28 12:41:59,1288.0,28.0,141.0,33.0,179.0,71.0,149.0,1964.0,"General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm,..",28.0,23,True,2024-01-20 15:39:17.000,0.9.0,14.0,kp,,,,580.0,345.0,,,https://pypi.org/project/kp,2024-01-20 15:33:09.000,,334.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +601,Multicore-TSNE,DmitryUlyanov/Multicore-TSNE,data-viz,,https://github.com/DmitryUlyanov/Multicore-TSNE,https://github.com/DmitryUlyanov/Multicore-TSNE,BSD-3-Clause,2016-10-19 05:46:52.000,2024-02-06 10:59:55.000000,2024-02-06 10:59:47,125.0,,228.0,42.0,36.0,45.0,24.0,1884.0,Parallel t-SNE implementation with Python and Torch wrappers.,18.0,23,True,2017-11-08 13:32:20.000,0.0.1,3.0,MulticoreTSNE,conda-forge/multicore-tsne,,['pytorch'],,2857.0,491.0,469.0,https://pypi.org/project/MulticoreTSNE,2019-01-09 07:23:04.000,22.0,1651.0,https://anaconda.org/conda-forge/multicore-tsne,2023-10-11 19:12:48.654,50658.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +602,Orbit,uber/orbit,probabilistics,,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000,2024-07-10 23:00:12.000000,2024-07-10 23:00:11,927.0,8.0,135.0,35.0,446.0,50.0,354.0,1862.0,A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.,20.0,23,True,2024-04-01 00:44:51.000,1.1.4.9,36.0,orbit-ml,,,,,12692.0,62.0,61.0,https://pypi.org/project/orbit-ml,2024-04-01 00:45:19.000,1.0,12692.0,,,,3.0,,,,,,-2.0,,,,,,,,,,,,,,,,,,, +603,uber/orbit,uber/orbit,time-series-data,,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000,2024-07-10 23:00:12.000000,2024-07-10 23:00:11,927.0,8.0,135.0,35.0,446.0,50.0,354.0,1862.0,A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.,20.0,23,True,2024-04-01 00:44:51.000,1.1.4.9,36.0,orbit-ml,conda-forge/orbit-ml,,,,13124.0,62.0,61.0,https://pypi.org/project/orbit-ml,2024-04-01 00:45:19.000,1.0,12692.0,https://anaconda.org/conda-forge/orbit-ml,2024-04-01 02:54:47.033,14281.0,3.0,,,,,,-2.0,,,,,,,,,,,,,,,,,,, +604,auto_ml,ClimbsRocks/auto_ml,hyperopt,,https://github.com/ClimbsRocks/auto_ml,https://github.com/ClimbsRocks/auto_ml,MIT,2016-08-07 21:35:08.000,2021-02-10 07:52:35.000000,2018-03-25 19:46:25,1149.0,,311.0,97.0,45.0,187.0,217.0,1641.0,[UNMAINTAINED] Automated machine learning for analytics & production.,14.0,23,False,2018-02-22 01:13:03.000,2.9.10,78.0,auto_ml,,,,67.0,2823.0,9.0,,https://pypi.org/project/auto_ml,2018-02-22 01:13:03.000,9.0,2823.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +605,jiant,nyu-mll/jiant,nlp,,https://github.com/nyu-mll/jiant,https://github.com/nyu-mll/jiant,MIT,2018-06-18 18:12:47.000,2023-07-06 22:00:38.000000,2022-10-17 19:34:56,1930.0,,295.0,44.0,801.0,72.0,485.0,1638.0,jiant is an nlp toolkit.,60.0,23,False,2021-05-10 18:56:39.000,2.2.0,19.0,jiant,,,,,182.0,5.0,5.0,https://pypi.org/project/jiant,2021-05-10 18:56:39.000,,182.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +606,Mesh,tensorflow/mesh,distributed-ml,,https://github.com/tensorflow/mesh,https://github.com/tensorflow/mesh,Apache-2.0,2018-09-20 20:23:34.000,2023-11-17 19:39:54.000000,2023-11-17 19:39:45,658.0,,254.0,51.0,312.0,98.0,18.0,1584.0,Mesh TensorFlow: Model Parallelism Made Easier.,50.0,23,True,2022-05-15 21:06:13.000,0.1.21,27.0,mesh-tensorflow,,,['tensorflow'],,62525.0,3.0,,https://pypi.org/project/mesh-tensorflow,2022-05-15 21:06:13.000,3.0,62525.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +607,Pytorch Toolbelt,BloodAxe/pytorch-toolbelt,pytorch-utils,,https://github.com/BloodAxe/pytorch-toolbelt,https://github.com/BloodAxe/pytorch-toolbelt,MIT,2019-03-15 16:02:49.000,2024-10-01 11:46:17.000000,2024-10-01 11:50:32,1211.0,12.0,117.0,26.0,68.0,4.0,29.0,1512.0,PyTorch extensions for fast R&D prototyping and Kaggle farming.,7.0,23,True,2023-08-19 14:26:10.000,0.7.0,29.0,pytorch_toolbelt,,,['pytorch'],43.0,7531.0,7.0,,https://pypi.org/project/pytorch_toolbelt,2022-06-27 19:59:57.000,7.0,7531.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +608,jraph,deepmind/jraph,graph,,https://github.com/google-deepmind/jraph,https://github.com/google-deepmind/jraph,Apache-2.0,2020-11-23 10:27:12.000,2024-03-18 13:56:39.000000,2022-08-31 13:13:15,103.0,,88.0,39.0,15.0,11.0,27.0,1358.0,A Graph Neural Network Library in Jax.,17.0,23,False,2022-08-12 15:24:20.000,0.0.6.de0,5.0,jraph,conda-forge/jraph,,['jax'],,63576.0,239.0,217.0,https://pypi.org/project/jraph,2022-08-12 15:25:29.659,22.0,63403.0,https://anaconda.org/conda-forge/jraph,2023-06-16 19:27:46.249,6250.0,2.0,,,,,,,,google-deepmind/jraph,,,,,,,,,,,,,,,,, +609,pytorch_tabular,manujosephv/pytorch_tabular,tabular,,https://github.com/manujosephv/pytorch_tabular,https://github.com/manujosephv/pytorch_tabular,MIT,2020-12-15 07:17:03.000,2024-10-01 11:28:41.000000,2024-09-17 07:49:48,563.0,13.0,134.0,21.0,305.0,21.0,140.0,1340.0,A standard framework for modelling Deep Learning Models for tabular data.,23.0,23,True,2024-01-15 12:17:19.000,1.1.0,12.0,pytorch_tabular,,,['pytorch'],43.0,3647.0,3.0,,https://pypi.org/project/pytorch_tabular,2024-01-15 02:46:25.000,3.0,3646.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,, +610,PFRL,pfnet/pfrl,reinforcement-learning,,https://github.com/pfnet/pfrl,https://github.com/pfnet/pfrl,MIT,2020-06-24 09:31:50.000,2024-08-04 22:39:35.000000,2024-08-04 17:00:39,437.0,4.0,151.0,91.0,122.0,33.0,46.0,1182.0,PFRL: a PyTorch-based deep reinforcement learning library.,20.0,23,True,2023-07-16 15:34:00.704,0.4.0,6.0,pfrl,,,,,789.0,114.0,113.0,https://pypi.org/project/pfrl,2023-07-16 15:34:00.704,1.0,789.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +611,calamari,Calamari-OCR/calamari,ocr,,https://github.com/Calamari-OCR/calamari,https://github.com/Calamari-OCR/calamari,GPL-3.0,2018-03-20 15:22:29.000,2024-10-01 23:42:11.000000,2024-10-01 23:38:02,473.0,27.0,209.0,53.0,92.0,66.0,219.0,1040.0,Line based ATR Engine based on OCRopy.,21.0,23,False,2024-10-01 23:41:06.000,2.3.0.post1,44.0,calamari_ocr,,,,,5695.0,8.0,,https://pypi.org/project/calamari_ocr,2024-10-01 23:42:11.000,8.0,5695.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +612,PyTorch Sparse,rusty1s/pytorch_sparse,pytorch-utils,,https://github.com/rusty1s/pytorch_sparse,https://github.com/rusty1s/pytorch_sparse,MIT,2018-07-28 18:46:53.000,2024-09-18 16:19:21.851000,2024-08-15 16:03:59,733.0,1.0,147.0,15.0,107.0,30.0,249.0,997.0,PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations.,45.0,23,True,2023-10-06 08:51:55.000,0.6.18,31.0,torch-sparse,conda-forge/pytorch_sparse,,['pytorch'],,34158.0,122.0,,https://pypi.org/project/torch-sparse,2023-10-06 08:51:55.000,122.0,25335.0,https://anaconda.org/conda-forge/pytorch_sparse,2024-09-18 16:19:21.851,458808.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +613,YouTokenToMe,vkcom/youtokentome,nlp,,https://github.com/VKCOM/YouTokenToMe,https://github.com/VKCOM/YouTokenToMe,MIT,2019-06-06 11:38:28.000,2024-03-29 10:21:35.000000,2023-03-29 07:39:45,85.0,,87.0,26.0,55.0,36.0,28.0,953.0,Unsupervised text tokenizer focused on computational efficiency.,8.0,23,False,2020-02-13 09:57:47.000,1.0.6,14.0,youtokentome,conda-forge/youtokentome,,,,86807.0,767.0,744.0,https://pypi.org/project/youtokentome,2020-02-12 18:24:46.000,23.0,85037.0,https://anaconda.org/conda-forge/youtokentome,2023-09-27 19:23:04.851,65500.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +614,Saliency,PAIR-code/saliency,tensorflow-utils,,https://github.com/PAIR-code/saliency,https://github.com/PAIR-code/saliency,Apache-2.0,2017-06-09 22:07:35.000,2024-03-20 19:51:28.000000,2024-03-20 19:28:51,85.0,,190.0,24.0,58.0,12.0,27.0,950.0,"Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).",18.0,23,True,2024-03-20 19:51:28.000,0.2.1,12.0,saliency,,,['tensorflow'],,96316.0,112.0,104.0,https://pypi.org/project/saliency,2024-03-20 19:51:28.000,8.0,96316.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +615,What-If Tool,PAIR-code/what-if-tool,interpretability,,https://github.com/PAIR-code/what-if-tool,https://github.com/PAIR-code/what-if-tool,Apache-2.0,2018-09-07 20:26:10.000,2024-09-11 20:07:00.000000,2024-02-01 21:38:56,330.0,,169.0,29.0,113.0,88.0,56.0,907.0,Source code/webpage/demos for the What-If Tool.,20.0,23,True,2021-10-12 17:42:50.869,1.8.1,40.0,witwidget,conda-forge/tensorboard-plugin-wit,,,,52424.0,11.0,2.0,https://pypi.org/project/witwidget,2021-10-12 17:42:30.000,6.0,7938.0,https://anaconda.org/conda-forge/tensorboard-plugin-wit,2023-06-16 19:20:28.498,2283914.0,3.0,,,,,,,,,wit-widget,https://www.npmjs.com/package/wit-widget,2021-10-12 17:42:50.869,3.0,565.0,,,,,,,,,,,, +616,Pandas-Bokeh,PatrikHlobil/Pandas-Bokeh,data-viz,,https://github.com/PatrikHlobil/Pandas-Bokeh,https://github.com/PatrikHlobil/Pandas-Bokeh,MIT,2018-11-23 20:49:14.000,2024-04-10 17:11:06.000000,2023-03-06 07:52:05,311.0,,111.0,26.0,36.0,34.0,69.0,879.0,Bokeh Plotting Backend for Pandas and GeoPandas.,15.0,23,False,2021-04-11 17:43:13.000,0.5.5,16.0,pandas-bokeh,,,['pandas'],,20212.0,671.0,659.0,https://pypi.org/project/pandas-bokeh,2021-04-11 17:43:13.000,12.0,20212.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +617,Guild AI,guildai/guildai,ml-experiments,,https://github.com/guildai/guildai,https://github.com/guildai/guildai,Apache-2.0,2017-09-27 18:57:50.000,2023-08-14 08:41:19.000000,2023-08-12 20:19:05,5777.0,,85.0,14.0,77.0,221.0,218.0,868.0,"Experiment tracking, ML developer tools.",29.0,23,False,2023-02-25 17:16:57.621,0.9.0,186.0,guildai,,,,25.0,4093.0,99.0,99.0,https://pypi.org/project/guildai,2022-05-11 01:13:31.000,,4093.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +618,NeoML,neoml-lib/neoml,ml-frameworks,,https://github.com/neoml-lib/neoml,https://github.com/neoml-lib/neoml,Apache-2.0,2020-06-14 17:37:36.000,2024-09-30 13:31:28.000000,2024-09-30 12:29:20,1251.0,49.0,126.0,30.0,1058.0,37.0,54.0,766.0,Machine learning framework for both deep learning and traditional algorithms.,40.0,23,True,2023-12-26 02:42:15.000,2.0.210,15.0,neoml,,,,,1223.0,1.0,1.0,https://pypi.org/project/neoml,2023-12-26 02:42:15.000,,1223.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +619,vecstack,vecxoz/vecstack,others,,https://github.com/vecxoz/vecstack,https://github.com/vecxoz/vecstack,MIT,2016-11-08 13:23:21.000,2024-08-14 09:00:03.000000,2019-10-30 09:27:48,189.0,,80.0,21.0,12.0,,39.0,683.0,Python package for stacking (machine learning technique).,1.0,23,False,2019-08-12 16:09:01.000,0.4.0,6.0,vecstack,conda-forge/vecstack,,,,12049.0,516.0,511.0,https://pypi.org/project/vecstack,2019-08-12 16:01:22.000,5.0,11995.0,https://anaconda.org/conda-forge/vecstack,2023-06-16 19:26:00.374,2251.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +620,MONAILabel,Project-MONAI/MONAILabel,others,,https://github.com/Project-MONAI/MONAILabel,https://github.com/Project-MONAI/MONAILabel,Apache-2.0,2021-03-26 15:25:10.000,2024-09-27 03:56:46.000000,2024-09-27 03:56:46,987.0,6.0,189.0,23.0,857.0,131.0,397.0,596.0,MONAI Label is an intelligent open source image labeling and learning tool.,61.0,23,True,2024-07-23 17:48:05.000,0.8.3,114.0,monailabel-weekly,,,,94480.0,3849.0,,,https://pypi.org/project/monailabel-weekly,2023-10-01 02:24:07.000,,1427.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +621,small-text,webis-de/small-text,nlp,,https://github.com/webis-de/small-text,https://github.com/webis-de/small-text,MIT,2021-05-24 08:06:41.000,2024-09-18 18:05:27.000000,2024-08-18 15:52:42,512.0,14.0,60.0,25.0,10.0,13.0,44.0,548.0,Active Learning for Text Classification in Python.,7.0,23,True,2024-08-18 16:02:51.000,1.4.1,22.0,small-text,conda-forge/small-text,,"['sklearn', 'pytorch']",,1333.0,31.0,31.0,https://pypi.org/project/small-text,2024-08-18 16:00:34.000,,988.0,https://anaconda.org/conda-forge/small-text,2024-08-18 16:37:29.577,9327.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +622,happy-transformer,EricFillion/happy-transformer,nlp,,https://github.com/EricFillion/happy-transformer,https://github.com/EricFillion/happy-transformer,Apache-2.0,2019-10-06 22:02:12.000,2024-08-01 23:26:59.000000,2024-03-19 15:52:03,1216.0,,66.0,7.0,211.0,20.0,109.0,515.0,Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.,14.0,23,True,2023-08-07 03:02:27.000,3.0.0,40.0,happytransformer,,,['huggingface'],,2334.0,290.0,285.0,https://pypi.org/project/happytransformer,2023-08-05 22:54:02.000,5.0,2334.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +623,pymap3d,geospace-code/pymap3d,geospatial-data,,https://github.com/geospace-code/pymap3d,https://github.com/geospace-code/pymap3d,BSD-2-Clause,2014-08-03 04:28:03.000,2024-05-07 21:17:52.000000,2024-02-11 00:53:13,766.0,,87.0,13.0,31.0,9.0,49.0,388.0,pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci.,18.0,23,True,2024-02-11 00:59:05.000,3.1.0,58.0,pymap3d,conda-forge/pymap3d,,,,217342.0,483.0,439.0,https://pypi.org/project/pymap3d,2024-02-11 00:59:05.000,44.0,215672.0,https://anaconda.org/conda-forge/pymap3d,2024-02-11 07:50:28.337,81876.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +624,pandas-ai,gventuri/pandas-ai,others,,https://github.com/Sinaptik-AI/pandas-ai,https://github.com/Sinaptik-AI/pandas-ai,,2023-04-22 12:58:01.000,2024-09-25 16:48:16.000000,2024-09-25 16:46:45,1055.0,31.0,1216.0,107.0,510.0,92.0,612.0,12761.0,"Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational..",88.0,22,False,2024-09-25 16:48:16.000,2.2.15,100.0,pandas-ai,,,,,,,,https://pypi.org/project/pandas-ai,,,,,,,3.0,,,,,,,,Sinaptik-AI/pandas-ai,,,,,,,,,,,,,,,,, +625,micrograd,karpathy/micrograd,pytorch-utils,,https://github.com/karpathy/micrograd,https://github.com/karpathy/micrograd,MIT,2020-04-13 04:31:18.000,2024-08-08 12:54:44.000000,2020-04-18 19:15:25,24.0,,1449.0,149.0,50.0,46.0,11.0,10125.0,A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API.,2.0,22,False,2020-04-18 19:06:59.000,0.1.0,1.0,micrograd,,,['pytorch'],,1087.0,66.0,63.0,https://pypi.org/project/micrograd,2020-04-18 19:06:59.000,3.0,1087.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +626,cortex,cortexlabs/cortex,model-serialisation,,https://github.com/cortexlabs/cortex,https://github.com/cortexlabs/cortex,Apache-2.0,2019-01-24 04:43:14.000,2024-06-12 19:34:23.000000,2023-03-04 05:19:44,2327.0,,609.0,145.0,1362.0,129.0,987.0,8019.0,Production infrastructure for machine learning at scale.,25.0,22,False,2022-09-23 18:01:31.000,0.42.1,63.0,cortex,,,,,737.0,2.0,,https://pypi.org/project/cortex,2022-09-23 17:40:01.770,2.0,737.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +627,graph-nets,deepmind/graph_nets,graph,,https://github.com/google-deepmind/graph_nets,https://github.com/google-deepmind/graph_nets,Apache-2.0,2018-08-31 08:19:28.000,2022-12-12 11:28:07.000000,2022-12-12 11:28:07,48.0,,783.0,223.0,25.0,8.0,122.0,5348.0,Build Graph Nets in Tensorflow.,11.0,22,False,2020-01-29 16:00:25.000,1.1.0,7.0,graph-nets,,,['tensorflow'],,1750.0,22.0,20.0,https://pypi.org/project/graph-nets,2020-01-29 16:00:25.000,2.0,1750.0,,,,3.0,,,,,,,,google-deepmind/graph_nets,,,,,,,,,,,,,,,,, +628,Crypto Signals,CryptoSignal/crypto-signal,financial-data,,https://github.com/CryptoSignal/Crypto-Signal,https://github.com/CryptoSignal/Crypto-Signal,MIT,2017-09-16 23:49:24.000,2024-07-07 15:33:11.000000,2022-08-09 13:26:32,565.0,,1253.0,305.0,210.0,66.0,220.0,4861.0,"Github.com/CryptoSignal - Trading & Technical Analysis Bot - 4,100+ stars, 1,100+ forks.",28.0,22,False,,,,,,,,,1689.0,,,,,,,,,,3.0,shadowreaver/crypto-signal,https://hub.docker.com/r/shadowreaver/crypto-signal,2020-09-03 13:00:35.801133,8.0,143615.0,,,,,,,,,,,,,,,,,,,, +629,ReAgent,facebookresearch/ReAgent,reinforcement-learning,,https://github.com/facebookresearch/ReAgent,https://github.com/facebookresearch/ReAgent,BSD-3-Clause,2017-07-27 17:53:21.000,2024-08-12 15:50:03.000000,2024-08-12 15:45:58,1602.0,4.0,514.0,148.0,610.0,86.0,75.0,3560.0,"A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.).",167.0,22,True,2020-01-27 22:06:00.000,0.0.0,2.0,reagent,,,['pytorch'],,66.0,,,https://pypi.org/project/reagent,2020-05-27 20:58:01.000,,66.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +630,finmarketpy,cuemacro/finmarketpy,financial-data,,https://github.com/cuemacro/finmarketpy,https://github.com/cuemacro/finmarketpy,Apache-2.0,2015-02-19 23:32:03.000,2024-05-19 22:21:30.000000,2024-05-19 22:15:20,687.0,,489.0,215.0,16.0,24.0,4.0,3425.0,Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians).,14.0,22,True,2024-05-19 22:21:30.000,0.11.14,15.0,finmarketpy,,,,56.0,478.0,14.0,14.0,https://pypi.org/project/finmarketpy,2024-05-19 22:21:30.000,,478.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +631,gpt-2-simple,minimaxir/gpt-2-simple,nlp,,https://github.com/minimaxir/gpt-2-simple,https://github.com/minimaxir/gpt-2-simple,MIT,2019-04-13 20:00:52.000,2022-12-14 11:50:45.000000,2022-05-22 02:02:04,149.0,,677.0,74.0,53.0,179.0,101.0,3399.0,Python package to easily retrain OpenAIs GPT-2 text-generating model on new texts.,21.0,22,False,2021-10-18 02:38:39.000,0.8.1,18.0,gpt-2-simple,,,['tensorflow'],619.0,1747.0,8.0,,https://pypi.org/project/gpt-2-simple,2021-10-18 01:47:20.000,8.0,1738.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +632,TRFL,deepmind/trfl,reinforcement-learning,,https://github.com/google-deepmind/trfl,https://github.com/google-deepmind/trfl,Apache-2.0,2018-08-08 14:44:11.000,2022-12-08 18:07:05.000000,2021-08-16 11:45:18,123.0,,386.0,205.0,9.0,4.0,16.0,3135.0,TensorFlow Reinforcement Learning.,13.0,22,False,2021-08-16 12:19:16.000,1.2.0,5.0,trfl,,,['tensorflow'],,1752.0,160.0,158.0,https://pypi.org/project/trfl,2021-08-16 12:19:16.000,2.0,1752.0,,,,3.0,,,,,,,,google-deepmind/trfl,,,,,,,,,,,,,,,,, +633,opyrator,ml-tooling/opyrator,others,,https://github.com/ml-tooling/opyrator,https://github.com/ml-tooling/opyrator,MIT,2021-04-06 08:09:06.000,2024-09-30 02:41:02.000000,2021-05-06 12:10:38,127.0,,155.0,47.0,70.0,2.0,30.0,3063.0,"Turns your machine learning code into microservices with web API, interactive GUI, and more.",4.0,22,False,2021-05-04 18:48:03.000,0.0.12,11.0,opyrator,conda-forge/opyrator,,,,611.0,53.0,53.0,https://pypi.org/project/opyrator,2021-05-04 18:48:03.000,,558.0,https://anaconda.org/conda-forge/opyrator,2023-06-18 08:40:31.958,1770.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +634,NLP Architect,IntelLabs/nlp-architect,nlp,,https://github.com/IntelLabs/nlp-architect,https://github.com/IntelLabs/nlp-architect,Apache-2.0,2018-05-17 21:00:13.000,2022-11-07 16:21:47.000000,2022-11-07 16:21:47,957.0,,454.0,164.0,120.0,22.0,112.0,2936.0,A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language..,40.0,22,False,2020-11-17 12:32:37.000,0.5.5.1,13.0,nlp-architect,,,,,479.0,10.0,10.0,https://pypi.org/project/nlp-architect,2020-04-12 11:34:38.000,,479.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +635,Texthero,jbesomi/texthero,nlp,,https://github.com/jbesomi/texthero,https://github.com/jbesomi/texthero,MIT,2020-04-06 15:16:05.000,2023-08-29 08:45:13.000000,2023-08-29 08:45:10,277.0,,238.0,42.0,110.0,80.0,64.0,2881.0,"Text preprocessing, representation and visualization from zero to hero.",21.0,22,False,2021-07-01 17:11:02.000,1.1.0,10.0,texthero,,,,151.0,4123.0,6.0,,https://pypi.org/project/texthero,2021-07-01 17:11:02.000,6.0,4121.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +636,analytics-zoo,intel-analytics/analytics-zoo,distributed-ml,,https://github.com/intel-analytics/analytics-zoo,https://github.com/intel-analytics/analytics-zoo,Apache-2.0,2024-03-05 03:41:26.000,2024-09-20 01:28:48.000000,2024-09-20 01:28:13,3461.0,4.0,727.0,7.0,33.0,406.0,855.0,2606.0,"Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray.",108.0,22,True,2024-03-05 10:02:36.000,0.1.0,418.0,analytics-zoo,,,['spark'],,998.0,1.0,,https://pypi.org/project/analytics-zoo,2022-08-22 20:19:01.213,1.0,998.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +637,Texar,asyml/texar,nlp,,https://github.com/asyml/texar,https://github.com/asyml/texar,Apache-2.0,2017-07-22 19:02:05.000,2021-08-26 09:49:50.000000,2020-07-29 00:38:30,1719.0,,381.0,78.0,144.0,36.0,126.0,2388.0,"Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the..",43.0,22,False,2019-11-19 04:11:18.000,0.2.4,6.0,texar,,,['tensorflow'],,136.0,30.0,28.0,https://pypi.org/project/texar,2019-11-19 04:11:18.000,2.0,136.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +638,fast-bert,utterworks/fast-bert,nlp,,https://github.com/utterworks/fast-bert,https://github.com/utterworks/fast-bert,Apache-2.0,2019-04-18 22:01:20.000,2024-08-19 09:45:05.000000,2024-08-19 09:41:36,346.0,1.0,341.0,42.0,68.0,163.0,95.0,1855.0,Super easy library for BERT based NLP models.,37.0,22,True,2024-08-19 09:45:05.000,2.0.26,72.0,fast-bert,,,,,1700.0,,,https://pypi.org/project/fast-bert,2024-08-19 09:45:05.000,,1700.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +639,hiddenlayer,waleedka/hiddenlayer,ml-experiments,,https://github.com/waleedka/hiddenlayer,https://github.com/waleedka/hiddenlayer,MIT,2018-05-18 22:34:51.000,2024-02-11 12:41:49.000000,2020-04-24 06:58:09,58.0,,255.0,44.0,14.0,57.0,35.0,1791.0,"Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.",6.0,22,False,2018-12-03 04:33:29.000,0.2,3.0,hiddenlayer,,,"['pytorch', 'tensorflow', 'jupyter']",,2391.0,312.0,301.0,https://pypi.org/project/hiddenlayer,2020-04-24 07:32:11.000,11.0,2391.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +640,sklearn-contrib-lightning,scikit-learn-contrib/lightning,sklearn-utils,,https://github.com/scikit-learn-contrib/lightning,https://github.com/scikit-learn-contrib/lightning,BSD-3-Clause,2012-01-11 13:53:52.000,2023-07-18 11:41:11.000000,2022-01-30 01:22:30,743.0,,213.0,38.0,111.0,56.0,42.0,1723.0,"Large-scale linear classification, regression and ranking in Python.",17.0,22,False,2022-01-30 01:10:13.000,0.6.2.post0,12.0,sklearn-contrib-lightning,conda-forge/sklearn-contrib-lightning,,['sklearn'],671.0,5695.0,168.0,162.0,https://pypi.org/project/sklearn-contrib-lightning,2022-01-30 00:43:43.000,6.0,3323.0,https://anaconda.org/conda-forge/sklearn-contrib-lightning,2023-06-16 13:18:02.734,233280.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +641,graph4nlp,graph4ai/graph4nlp,graph,,https://github.com/graph4ai/graph4nlp,https://github.com/graph4ai/graph4nlp,Apache-2.0,2020-07-16 03:28:48.000,2024-06-24 03:38:13.000000,2022-11-13 04:54:45,1941.0,,197.0,30.0,424.0,11.0,163.0,1667.0,Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website..,29.0,22,False,2022-01-20 18:07:32.000,0.5.5,12.0,graph4nlp,,,['pytorch'],,190.0,,,https://pypi.org/project/graph4nlp,2022-01-20 15:18:44.000,,190.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +642,Classy Vision,facebookresearch/ClassyVision,image,,https://github.com/facebookresearch/ClassyVision,https://github.com/facebookresearch/ClassyVision,MIT,2019-09-13 22:54:44.000,2024-06-27 16:05:09.000000,2023-03-23 14:35:34,422.0,,278.0,70.0,730.0,51.0,64.0,1590.0,An end-to-end PyTorch framework for image and video classification.,77.0,22,False,2023-03-21 05:24:19.000,0.7.0,18.0,classy_vision,conda-forge/classy_vision,,['pytorch'],,1452.0,4.0,,https://pypi.org/project/classy_vision,2023-03-21 05:15:00.935,4.0,1016.0,https://anaconda.org/conda-forge/classy_vision,2023-06-16 19:17:34.578,24899.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +643,FinQuant,fmilthaler/FinQuant,financial-data,,https://github.com/fmilthaler/FinQuant,https://github.com/fmilthaler/FinQuant,MIT,2019-01-20 15:07:19.000,2023-11-04 08:38:31.000000,2023-09-03 19:16:54,508.0,,188.0,32.0,86.0,16.0,33.0,1401.0,"A program for financial portfolio management, analysis and optimisation.",11.0,22,False,2023-09-04 06:57:56.000,0.7.0,15.0,FinQuant,,,,,868.0,95.0,94.0,https://pypi.org/project/FinQuant,2023-09-04 06:57:56.000,1.0,868.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +644,advertorch,BorealisAI/advertorch,adversarial,,https://github.com/BorealisAI/advertorch,https://github.com/BorealisAI/advertorch,GPL-3.0,2018-11-29 22:17:33.000,2023-09-14 02:51:02.000000,2022-05-29 19:09:18,309.0,,191.0,27.0,57.0,22.0,36.0,1292.0,A Toolbox for Adversarial Robustness Research.,21.0,22,False,2020-06-15 01:20:07.000,0.2.3,10.0,advertorch,,,['pytorch'],,875.0,179.0,174.0,https://pypi.org/project/advertorch,2020-06-15 01:20:07.000,5.0,875.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +645,NGT,yahoojapan/NGT,nn-search,,https://github.com/yahoojapan/NGT,https://github.com/yahoojapan/NGT,Apache-2.0,2016-09-01 07:36:57.000,2024-09-18 00:15:10.000000,2024-09-18 00:14:54,196.0,6.0,113.0,39.0,30.0,18.0,119.0,1242.0,Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data.,15.0,22,True,2024-07-26 00:44:37.000,2.2.4,84.0,ngt,,,,,3425.0,8.0,,https://pypi.org/project/ngt,2023-12-06 05:33:15.000,8.0,3425.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +646,Sockeye,awslabs/sockeye,nlp,,https://github.com/awslabs/sockeye,https://github.com/awslabs/sockeye,Apache-2.0,2017-06-08 07:44:30.000,2024-06-07 14:38:03.000000,2024-06-07 14:37:59,835.0,,324.0,51.0,796.0,11.0,300.0,1210.0,Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch.,60.0,22,True,2023-03-03 07:51:00.411,3.1.34,85.0,sockeye,,,['mxnet'],21.0,2336.0,,,https://pypi.org/project/sockeye,2023-03-03 07:51:00.411,,2336.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +647,AstroML,astroML/astroML,others,,https://github.com/astroML/astroML,https://github.com/astroML/astroML,BSD-2-Clause,2012-10-17 22:33:50.000,2024-05-25 09:25:40.000000,2024-01-04 20:41:21,582.0,,294.0,96.0,123.0,62.0,97.0,1051.0,"Machine learning, statistics, and data mining for astronomy and astrophysics.",31.0,22,True,2022-01-25 21:56:31.000,1.0.2,13.0,astroML,conda-forge/astroml,,['sklearn'],,2251.0,16.0,,https://pypi.org/project/astroML,2022-03-01 20:02:01.000,16.0,1699.0,https://anaconda.org/conda-forge/astroml,2023-06-16 13:21:24.079,47489.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +648,tf-explain,sicara/tf-explain,interpretability,,https://github.com/sicara/tf-explain,https://github.com/sicara/tf-explain,MIT,2019-07-15 08:26:24.000,2024-06-03 10:38:45.000000,2022-06-30 08:14:18,208.0,,112.0,51.0,99.0,44.0,51.0,1016.0,Interpretability Methods for tf.keras models with Tensorflow 2.x.,18.0,22,False,2021-11-18 20:57:29.000,0.3.1,8.0,tf-explain,,,['tensorflow'],,2468.0,256.0,245.0,https://pypi.org/project/tf-explain,2021-11-18 20:57:29.000,11.0,2468.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +649,nnAudio,KinWaiCheuk/nnAudio,audio,,https://github.com/KinWaiCheuk/nnAudio,https://github.com/KinWaiCheuk/nnAudio,MIT,2019-09-02 04:31:14.000,2024-02-13 05:58:29.000000,2024-02-13 05:55:37,305.0,,89.0,18.0,73.0,18.0,45.0,1013.0,Audio processing by using pytorch 1D convolution network.,15.0,22,True,2024-02-13 05:58:29.000,0.3.3,40.0,nnAudio,,,,,15517.0,221.0,217.0,https://pypi.org/project/nnAudio,2024-02-13 05:58:29.000,4.0,15517.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +650,detoxify,unitaryai/detoxify,nlp,,https://github.com/unitaryai/detoxify,https://github.com/unitaryai/detoxify,Apache-2.0,2020-09-23 15:24:21.000,2024-09-19 13:26:10.000000,2024-09-19 13:26:10,252.0,2.0,115.0,15.0,48.0,38.0,29.0,933.0,Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using Pytorch..,12.0,22,True,2024-02-01 14:51:21.000,0.5.2,13.0,detoxify,,,,682454.0,47071.0,721.0,691.0,https://pypi.org/project/detoxify,2024-02-01 14:51:21.000,30.0,32551.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +651,kapre,keunwoochoi/kapre,audio,,https://github.com/keunwoochoi/kapre,https://github.com/keunwoochoi/kapre,MIT,2016-12-14 18:36:36.000,2023-10-23 02:52:41.000000,2022-07-04 00:10:02,195.0,,146.0,23.0,46.0,16.0,82.0,920.0,kapre: Keras Audio Preprocessors.,13.0,22,False,2022-01-21 20:10:47.000,Kapre-0.3.7,24.0,kapre,,,['tensorflow'],29.0,1694.0,2444.0,2435.0,https://pypi.org/project/kapre,2022-01-21 20:09:21.000,9.0,1694.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +652,Baal,baal-org/baal,probabilistics,,https://github.com/baal-org/baal,https://github.com/baal-org/baal,Apache-2.0,2019-09-30 20:16:26.000,2024-06-27 20:02:41.000000,2024-06-27 20:02:41,240.0,,86.0,18.0,160.0,20.0,94.0,861.0,Bayesian active learning library for research and industrial usecases.,23.0,22,True,2024-06-11 15:50:56.000,2.0.0,21.0,baal,conda-forge/baal,,,,2082.0,62.0,60.0,https://pypi.org/project/baal,2024-06-11 15:50:56.000,2.0,1861.0,https://anaconda.org/conda-forge/baal,2023-06-12 15:14:19.747,9974.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +653,icevision,airctic/icevision,image,,https://github.com/airctic/icevision,https://github.com/airctic/icevision,Apache-2.0,2020-05-04 01:57:02.000,2023-10-07 18:05:54.000000,2022-12-07 13:45:45,1234.0,,133.0,24.0,594.0,63.0,511.0,845.0,"An Agnostic Computer Vision Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come.",41.0,22,False,2022-02-10 15:55:46.374,0.12.0,41.0,icevision,,,,,3441.0,6.0,,https://pypi.org/project/icevision,2022-02-10 15:55:46.374,6.0,3441.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +654,mlens,flennerhag/mlens,others,,https://github.com/flennerhag/mlens,https://github.com/flennerhag/mlens,MIT,2017-01-10 20:53:47.000,2023-11-13 16:09:34.000000,2020-02-25 14:31:53,879.0,,107.0,28.0,60.0,27.0,74.0,844.0,ML-Ensemble high performance ensemble learning.,7.0,22,False,2018-10-30 22:34:35.000,0.2.3,14.0,mlens,,,,,2560.0,490.0,489.0,https://pypi.org/project/mlens,2018-10-30 22:30:43.000,1.0,2560.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +655,torch-cluster,rusty1s/pytorch_cluster,graph,,https://github.com/rusty1s/pytorch_cluster,https://github.com/rusty1s/pytorch_cluster,MIT,2018-01-12 20:56:06.000,2024-09-10 02:55:22.000000,2024-09-10 02:55:22,602.0,2.0,142.0,15.0,63.0,37.0,137.0,815.0,PyTorch Extension Library of Optimized Graph Cluster Algorithms.,35.0,22,True,2023-10-12 06:54:28.000,1.6.3,43.0,torch-cluster,conda-forge/pytorch_cluster,,['pytorch'],,18168.0,62.0,,https://pypi.org/project/torch-cluster,2023-10-12 06:52:43.000,62.0,14388.0,https://anaconda.org/conda-forge/pytorch_cluster,2024-08-28 13:26:28.147,200392.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +656,gmaps,pbugnion/gmaps,geospatial-data,,https://github.com/pbugnion/gmaps,https://github.com/pbugnion/gmaps,BSD-3-Clause,2014-12-01 09:12:06.000,2023-06-16 13:23:14.332000,2019-07-22 06:22:45,1380.0,,147.0,25.0,154.0,79.0,137.0,760.0,Google maps for Jupyter notebooks.,16.0,22,False,2019-07-21 08:49:48.715,0.9.0,96.0,gmaps,conda-forge/gmaps,,['jupyter'],,10198.0,18.0,,https://pypi.org/project/gmaps,2021-12-15 15:42:57.506,13.0,5773.0,https://anaconda.org/conda-forge/gmaps,2023-06-16 13:23:14.332,338757.0,3.0,,,,,,,,,jupyter-gmaps,https://www.npmjs.com/package/jupyter-gmaps,2019-07-21 08:49:48.715,5.0,619.0,,,,,,,,,,,, +657,finetune,IndicoDataSolutions/finetune,nlp,,https://github.com/IndicoDataSolutions/finetune,https://github.com/IndicoDataSolutions/finetune,MPL-2.0,2018-06-12 17:02:16.000,2024-10-02 20:38:41.000000,2024-07-23 12:43:38,1508.0,3.0,80.0,34.0,677.0,22.0,118.0,700.0,Scikit-learn style model finetuning for NLP.,23.0,22,True,2023-09-29 10:19:51.000,0.10.0,39.0,finetune,,,"['tensorflow', 'sklearn']",,981.0,14.0,12.0,https://pypi.org/project/finetune,2023-09-29 10:19:51.000,2.0,981.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +658,pivottablejs,nicolaskruchten/jupyter_pivottablejs,data-viz,,https://github.com/nicolaskruchten/jupyter_pivottablejs,https://github.com/nicolaskruchten/jupyter_pivottablejs,MIT,2015-09-09 13:39:18.000,2024-03-15 12:50:01.000000,2018-12-04 14:43:25,32.0,,88.0,21.0,9.0,25.0,41.0,684.0,"Dragndrop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js.",3.0,22,False,2018-01-15 18:14:37.000,0.9.0,10.0,pivottablejs,anaconda/pivottablejs,,['jupyter'],,29728.0,478.0,468.0,https://pypi.org/project/pivottablejs,2018-01-15 18:14:37.000,10.0,29700.0,https://anaconda.org/anaconda/pivottablejs,2023-12-06 04:45:55.894,2991.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +659,random-forest-importances,parrt/random-forest-importances,interpretability,,https://github.com/parrt/random-forest-importances,https://github.com/parrt/random-forest-importances,MIT,2018-03-22 19:20:13.000,2024-09-29 18:55:40.000000,2024-09-29 18:55:40,251.0,2.0,130.0,22.0,20.0,8.0,31.0,598.0,Code to compute permutation and drop-column importances in Python scikit-learn models.,15.0,22,True,2021-01-28 23:23:17.000,1.3.7,22.0,rfpimp,,,['sklearn'],,12032.0,172.0,167.0,https://pypi.org/project/rfpimp,2021-01-28 23:19:33.000,5.0,12032.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +660,tick,X-DataInitiative/tick,time-series-data,,https://github.com/X-DataInitiative/tick,https://github.com/X-DataInitiative/tick,BSD-3-Clause,2016-12-01 10:59:08.000,2024-08-18 17:30:50.000000,2023-03-05 00:16:57,419.0,,102.0,36.0,276.0,75.0,173.0,487.0,"Module for statistical learning, with a particular emphasis on time-dependent modelling.",20.0,22,False,2019-09-11 11:25:15.000,0.6,23.0,tick,,,,381.0,1757.0,83.0,81.0,https://pypi.org/project/tick,2020-05-24 22:01:17.000,2.0,1753.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +661,pydlm,wwrechard/pydlm,time-series-data,,https://github.com/wwrechard/pydlm,https://github.com/wwrechard/pydlm,BSD-3-Clause,2016-06-29 07:58:53.000,2024-09-07 07:05:09.000000,2024-09-07 07:05:06,387.0,15.0,98.0,28.0,34.0,41.0,15.0,475.0,A python library for Bayesian time series modeling.,7.0,22,True,2024-08-13 04:20:08.000,0.1.1.13,15.0,pydlm,,,,,25855.0,38.0,36.0,https://pypi.org/project/pydlm,2024-08-13 04:20:45.000,2.0,25855.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +662,chefboost,serengil/chefboost,ml-frameworks,,https://github.com/serengil/chefboost,https://github.com/serengil/chefboost,MIT,2019-03-06 12:26:27.000,2024-08-12 09:24:26.000000,2024-08-12 09:24:26,399.0,4.0,102.0,18.0,9.0,7.0,49.0,453.0,"A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4.5, CART, CHAID and Regression Trees; some..",7.0,22,True,2024-06-08 21:33:50.000,0.0.18,18.0,chefboost,,,,,3982.0,59.0,59.0,https://pypi.org/project/chefboost,2024-06-08 21:33:50.000,,3982.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +663,Studio.ml,studioml/studio,ml-experiments,,https://github.com/studioml/studio,https://github.com/studioml/studio,Apache-2.0,2017-05-15 01:49:28.000,2024-07-06 00:47:45.000000,2023-09-06 17:29:29,2412.0,,52.0,23.0,232.0,57.0,195.0,379.0,Studio: Simplify and expedite model building process.,24.0,22,False,2021-09-14 22:55:51.000,0.0.49,208.0,studioml,,,,,3597.0,6.0,6.0,https://pypi.org/project/studioml,2021-09-14 22:55:51.000,,3597.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +664,TimeSide,Parisson/TimeSide,audio,,https://github.com/Parisson/TimeSide,https://github.com/Parisson/TimeSide,AGPL-3.0,2011-11-21 21:48:08.000,2024-08-19 11:40:22.000000,2023-02-01 10:38:52,3728.0,,60.0,28.0,110.0,33.0,184.0,369.0,scalable audio processing framework and server written in Python.,22.0,22,False,2023-01-03 17:34:09.000,1.1.3,28.0,TimeSide,,,,,426.0,18.0,18.0,https://pypi.org/project/TimeSide,2020-11-27 09:33:19.000,,426.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +665,Orion,Epistimio/orion,hyperopt,,https://github.com/Epistimio/orion,https://github.com/Epistimio/orion,BSD-3-Clause,2017-09-07 06:05:21.000,2023-12-11 19:25:59.000000,2023-11-17 21:43:05,4051.0,,49.0,14.0,712.0,217.0,204.0,283.0,Asynchronous Distributed Hyperparameter Optimization.,32.0,22,False,2023-03-02 22:26:01.035,0.2.7,26.0,orion,,,,,768.0,117.0,109.0,https://pypi.org/project/orion,2022-08-22 17:10:40.826,8.0,768.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +666,py3nvml,fbcotter/py3nvml,gpu-utilities,,https://github.com/fbcotter/py3nvml,https://github.com/fbcotter/py3nvml,BSD-3-Clause,2016-11-21 01:07:37.000,2023-09-25 06:14:21.168000,2022-04-14 09:41:50,86.0,,33.0,12.0,9.0,4.0,12.0,237.0,Python 3 Bindings for NVML library. Get NVIDIA GPU status inside your program.,9.0,22,False,2021-11-22 14:30:25.000,0.2.7,14.0,py3nvml,conda-forge/py3nvml,,,,85887.0,1259.0,1202.0,https://pypi.org/project/py3nvml,2021-11-22 14:30:25.000,57.0,84219.0,https://anaconda.org/conda-forge/py3nvml,2023-09-25 06:14:21.168,80103.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +667,stop-words,Alir3z4/python-stop-words,nlp,,https://github.com/Alir3z4/python-stop-words,https://github.com/Alir3z4/python-stop-words,BSD-3-Clause,2014-05-26 06:44:03.000,2024-03-12 10:32:40.000000,2018-07-23 21:04:09,90.0,,29.0,7.0,20.0,5.0,9.0,155.0,Get list of common stop words in various languages in Python.,8.0,22,False,2018-07-23 20:58:34.000,2018.7.23,8.0,stop-words,,,,,105395.0,2402.0,2358.0,https://pypi.org/project/stop-words,2018-07-23 20:55:55.000,44.0,105395.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +668,nebullvm,nebuly-ai/nebullvm,model-serialisation,,https://github.com/nebuly-ai/optimate,https://github.com/nebuly-ai/optimate,Apache-2.0,2022-02-12 17:17:14.000,2024-07-22 02:07:03.000000,2024-07-22 02:07:02,771.0,8.0,639.0,92.0,152.0,99.0,102.0,8376.0,A collection of libraries to optimise AI model performances.,40.0,21,True,2023-06-18 11:03:00.511,0.10.0,26.0,nebullvm,,,,,1055.0,2.0,,https://pypi.org/project/nebullvm,2023-06-18 11:03:00.511,2.0,1055.0,,,,3.0,,,,,,-2.0,,nebuly-ai/optimate,,,,,,,,,,,,,,,,, +669,PySlowFast,facebookresearch/SlowFast,image,,https://github.com/facebookresearch/SlowFast,https://github.com/facebookresearch/SlowFast,Apache-2.0,2019-08-20 22:47:26.000,2024-08-13 19:13:05.000000,2024-08-13 19:09:33,193.0,2.0,1190.0,95.0,50.0,395.0,287.0,6537.0,PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.,33.0,21,True,,,1.0,pyslowfast,,,['pytorch'],,58.0,18.0,18.0,https://pypi.org/project/pyslowfast,2020-01-15 23:51:07.000,,58.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +670,mace,XiaoMi/mace,ml-frameworks,,https://github.com/XiaoMi/mace,https://github.com/XiaoMi/mace,Apache-2.0,2018-06-27 03:50:12.000,2024-06-17 09:17:33.000000,2024-03-11 13:23:01,3347.0,,820.0,229.0,111.0,57.0,622.0,4923.0,MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.,69.0,21,True,2022-01-13 09:55:14.000,1.1.1,12.0,,,,,1532.0,20.0,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +671,Image Super-Resolution,idealo/image-super-resolution,image,,https://github.com/idealo/image-super-resolution,https://github.com/idealo/image-super-resolution,Apache-2.0,2018-11-26 13:41:13.000,2024-03-12 11:21:52.000000,2021-06-02 09:45:13,150.0,,742.0,102.0,35.0,107.0,113.0,4623.0,Super-scale your images and run experiments with Residual Dense and Adversarial Networks.,10.0,21,False,2020-01-08 15:37:35.000,2.2.0,11.0,ISR,,,['tensorflow'],,5110.0,5.0,,https://pypi.org/project/ISR,2020-01-08 15:37:35.000,5.0,5107.0,,,,3.0,idealo/image-super-resolution-gpu,https://hub.docker.com/r/idealo/image-super-resolution-gpu,2019-04-01 13:48:45.697251,1.0,240.0,,,,,,,,,,,,,,,,,,,, +672,tf-quant-finance,google/tf-quant-finance,financial-data,,https://github.com/google/tf-quant-finance,https://github.com/google/tf-quant-finance,Apache-2.0,2019-07-24 16:09:50.000,2024-05-20 22:36:46.000000,2023-08-15 07:38:22,956.0,,567.0,168.0,47.0,35.0,28.0,4495.0,High-performance TensorFlow library for quantitative finance.,47.0,21,False,,,30.0,tf-quant-finance,,,['tensorflow'],,890.0,3.0,,https://pypi.org/project/tf-quant-finance,2022-08-19 12:40:54.257,3.0,890.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +673,BytePS,bytedance/byteps,distributed-ml,,https://github.com/bytedance/byteps,https://github.com/bytedance/byteps,Apache-2.0,2019-06-25 07:00:13.000,2023-10-03 18:02:27.000000,2022-02-10 07:36:23,432.0,,475.0,85.0,180.0,108.0,161.0,3620.0,A high performance and generic framework for distributed DNN training.,21.0,21,False,2020-08-27 15:42:13.000,0.2.4,8.0,byteps,,,,,159.0,2.0,2.0,https://pypi.org/project/byteps,2021-08-02 17:37:42.000,,138.0,,,,3.0,bytepsimage/tensorflow,https://hub.docker.com/r/bytepsimage/tensorflow,2020-03-03 02:33:23.358610,,1349.0,,,,,,,,,,,,,,,,,,,, +674,AdaBound,Luolc/AdaBound,pytorch-utils,,https://github.com/Luolc/AdaBound,https://github.com/Luolc/AdaBound,Apache-2.0,2019-02-15 18:05:20.000,2023-07-23 10:44:20.000000,2019-03-06 17:01:45,27.0,,330.0,72.0,2.0,20.0,7.0,2904.0,An optimizer that trains as fast as Adam and as good as SGD.,2.0,21,False,2019-03-06 16:44:42.000,0.0.5,4.0,adabound,,,['pytorch'],,2978.0,210.0,207.0,https://pypi.org/project/adabound,2019-02-26 04:23:45.000,3.0,2978.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +675,Coach,IntelLabs/coach,reinforcement-learning,,https://github.com/IntelLabs/coach,https://github.com/IntelLabs/coach,Apache-2.0,2017-10-01 19:27:43.000,2022-12-11 17:54:07.000000,2022-12-11 17:54:06,524.0,,462.0,126.0,225.0,90.0,183.0,2325.0,Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning..,38.0,21,False,2019-10-10 14:17:10.000,1.0.1,13.0,rl_coach,,,,,167.0,2.0,,https://pypi.org/project/rl_coach,2019-10-10 14:17:10.000,2.0,167.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +676,pdftabextract,WZBSocialScienceCenter/pdftabextract,ocr,,https://github.com/WZBSocialScienceCenter/pdftabextract,https://github.com/WZBSocialScienceCenter/pdftabextract,Apache-2.0,2016-07-08 11:44:46.000,2022-06-24 09:51:22.000000,2022-06-24 09:51:22,171.0,,370.0,84.0,4.0,5.0,18.0,2209.0,A set of tools for extracting tables from PDF files helping to do data mining on (OCR-processed) scanned documents.,3.0,21,False,2018-01-09 08:00:24.000,0.3.0,5.0,pdftabextract,,,,,284.0,50.0,50.0,https://pypi.org/project/pdftabextract,2018-01-09 08:00:24.000,,284.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +677,reformer-pytorch,lucidrains/reformer-pytorch,pytorch-utils,,https://github.com/lucidrains/reformer-pytorch,https://github.com/lucidrains/reformer-pytorch,MIT,2020-01-09 20:42:37.000,2023-06-21 14:17:49.000000,2023-06-21 14:07:30,249.0,,250.0,54.0,35.0,16.0,105.0,2104.0,"Reformer, the efficient Transformer, in Pytorch.",11.0,21,False,2021-11-06 23:09:00.000,1.4.4,139.0,reformer-pytorch,,,['pytorch'],,11404.0,,,https://pypi.org/project/reformer-pytorch,2021-11-06 23:09:00.000,,11404.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +678,ecco,jalammar/ecco,interpretability,,https://github.com/jalammar/ecco,https://github.com/jalammar/ecco,BSD-3-Clause,2020-11-07 10:06:34.000,2024-08-15 19:08:06.000000,2024-08-15 19:08:06,312.0,1.0,163.0,24.0,34.0,33.0,31.0,1973.0,"Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter..",12.0,21,True,2022-01-09 21:17:53.000,0.1.2,18.0,ecco,conda-forge/ecco,,['pytorch'],115.0,716.0,31.0,30.0,https://pypi.org/project/ecco,2022-01-09 21:14:50.000,1.0,555.0,https://anaconda.org/conda-forge/ecco,2023-06-16 19:28:19.211,5419.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +679,Antialiased CNNs,adobe/antialiased-cnns,pytorch-utils,,https://github.com/adobe/antialiased-cnns,https://github.com/adobe/antialiased-cnns,CC BY-NC-SA 4.0,2019-05-14 20:51:25.000,2024-04-08 12:49:27.000000,2021-09-29 18:48:52,239.0,,200.0,38.0,7.0,15.0,33.0,1655.0,pip install antialiased-cnns to improve stability and accuracy.,6.0,21,False,2020-10-23 22:45:52.000,0.3,6.0,antialiased-cnns,,,['pytorch'],,6868.0,67.0,61.0,https://pypi.org/project/antialiased-cnns,2020-10-23 22:42:49.000,6.0,6868.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +680,ThunderSVM,Xtra-Computing/thundersvm,ml-frameworks,,https://github.com/Xtra-Computing/thundersvm,https://github.com/Xtra-Computing/thundersvm,Apache-2.0,2014-12-11 04:24:04.000,2024-04-01 08:11:14.000000,2024-04-01 08:11:13,912.0,,211.0,57.0,52.0,80.0,149.0,1563.0,ThunderSVM: A Fast SVM Library on GPUs and CPUs.,37.0,21,True,2020-03-13 12:36:30.000,0.3.12,9.0,thundersvm,,,,2867.0,958.0,,,https://pypi.org/project/thundersvm,2020-03-13 12:36:30.000,,928.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +681,lore,instacart/lore,ml-experiments,,https://github.com/instacart/lore,https://github.com/instacart/lore,MIT,2017-10-19 21:51:45.000,2023-05-13 02:26:19.000000,2022-09-27 19:41:48,274.0,,135.0,101.0,150.0,21.0,20.0,1550.0,Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers.,29.0,21,False,2022-02-18 18:01:38.000,0.8.6,233.0,lore,,,,,3533.0,23.0,23.0,https://pypi.org/project/lore,2022-02-18 18:01:38.000,,3533.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +682,MLBox,AxeldeRomblay/MLBox,hyperopt,,https://github.com/AxeldeRomblay/MLBox,https://github.com/AxeldeRomblay/MLBox,BSD-1-Clause,2017-06-01 16:59:24.000,2023-08-06 18:20:04.000000,2020-08-25 09:26:27,1121.0,,271.0,65.0,51.0,23.0,75.0,1493.0,MLBox is a powerful Automated Machine Learning python library.,9.0,21,False,2020-08-25 09:32:37.000,0.8.5,21.0,mlbox,,,,,737.0,36.0,36.0,https://pypi.org/project/mlbox,2020-08-25 09:32:37.000,,737.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +683,anaGo,Hironsan/anago,nlp,,https://github.com/Hironsan/anago,https://github.com/Hironsan/anago,MIT,2017-06-26 21:28:36.000,2022-12-07 23:44:31.000000,2021-04-01 12:34:50,298.0,,352.0,61.0,47.0,37.0,71.0,1481.0,"Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.",11.0,21,False,2018-07-17 01:59:21.000,1.0.8,14.0,anago,,,['tensorflow'],,357.0,39.0,33.0,https://pypi.org/project/anago,2018-07-17 01:59:21.000,6.0,357.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +684,DLTK,DLTK/DLTK,medical-data,,https://github.com/DLTK/DLTK,https://github.com/DLTK/DLTK,Apache-2.0,2017-05-02 15:40:36.000,2023-03-24 22:27:46.000000,2019-01-21 14:01:28,379.0,,405.0,101.0,36.0,13.0,24.0,1426.0,Deep Learning Toolkit for Medical Image Analysis.,9.0,21,False,2018-02-26 17:43:57.000,0.2.1,5.0,dltk,,,['tensorflow'],,185.0,32.0,32.0,https://pypi.org/project/dltk,2018-02-26 17:43:57.000,,185.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +685,tensorrec,jfkirk/tensorrec,recommender-systems,,https://github.com/jfkirk/tensorrec,https://github.com/jfkirk/tensorrec,Apache-2.0,2017-02-28 18:51:11.000,2023-05-22 21:34:54.000000,2020-02-04 21:10:25,334.0,,222.0,64.0,48.0,40.0,90.0,1275.0,A TensorFlow recommendation algorithm and framework in Python.,9.0,21,False,2019-04-02 00:53:47.000,0.26.2,30.0,tensorrec,,,['tensorflow'],,521.0,36.0,36.0,https://pypi.org/project/tensorrec,2019-04-02 00:53:47.000,,521.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +686,luminol,linkedin/luminol,time-series-data,,https://github.com/linkedin/luminol,https://github.com/linkedin/luminol,Apache-2.0,2015-11-18 23:16:33.000,2023-05-09 00:52:44.000000,2023-05-09 00:52:44,72.0,,213.0,65.0,29.0,31.0,12.0,1183.0,Anomaly Detection and Correlation library.,9.0,21,False,2016-01-20 01:01:44.000,0.3.1,5.0,luminol,,,,,7855.0,81.0,79.0,https://pypi.org/project/luminol,2017-12-11 06:04:15.000,2.0,7855.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +687,ADTK,arundo/adtk,time-series-data,,https://github.com/arundo/adtk,https://github.com/arundo/adtk,MPL-2.0,2019-09-27 00:34:22.000,2024-08-01 11:53:43.000000,2020-04-17 02:27:44,79.0,,144.0,25.0,77.0,51.0,36.0,1082.0,A Python toolkit for rule-based/unsupervised anomaly detection in time series.,11.0,21,False,2020-04-17 02:18:00.000,0.6.2,13.0,adtk,conda-forge/adtk,,,,248046.0,5.0,,https://pypi.org/project/adtk,2020-04-17 02:18:00.000,5.0,247886.0,https://anaconda.org/conda-forge/adtk,2023-06-16 19:18:16.533,8837.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +688,fastFM,ibayer/fastFM,recommender-systems,,https://github.com/ibayer/fastFM,https://github.com/ibayer/fastFM,BSD-3-Clause,2014-10-27 12:25:51.000,2022-07-17 13:12:39.000000,2021-03-24 12:22:31,297.0,,205.0,27.0,61.0,52.0,61.0,1075.0,fastFM: A Library for Factorization Machines.,20.0,21,False,2017-11-23 06:59:56.000,0.2.11,10.0,fastfm,,,,760.0,883.0,126.0,123.0,https://pypi.org/project/fastfm,2017-11-23 06:59:56.000,3.0,877.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +689,attention-ocr,emedvedev/attention-ocr,ocr,,https://github.com/emedvedev/attention-ocr,https://github.com/emedvedev/attention-ocr,MIT,2017-07-21 18:35:19.000,2023-10-20 17:48:54.000000,2023-10-20 17:48:54,207.0,,251.0,48.0,46.0,26.0,127.0,1071.0,A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and..,28.0,21,True,2020-10-12 06:56:40.000,0.7.6,21.0,aocr,,,['tensorflow'],,614.0,29.0,29.0,https://pypi.org/project/aocr,2019-04-19 05:28:27.000,,614.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +690,TensorNets,taehoonlee/tensornets,tensorflow-utils,,https://github.com/taehoonlee/tensornets,https://github.com/taehoonlee/tensornets,MIT,2017-09-19 05:19:01.000,2021-01-02 06:28:10.000000,2021-01-02 06:26:24,284.0,,184.0,52.0,12.0,16.0,42.0,1003.0,High level network definitions with pre-trained weights in TensorFlow.,6.0,21,False,2020-03-31 04:38:27.000,0.4.6,12.0,tensornets,,,['tensorflow'],,347.0,87.0,83.0,https://pypi.org/project/tensornets,2020-03-31 04:35:15.000,4.0,347.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +691,TF Compression,tensorflow/compression,tensorflow-utils,,https://github.com/tensorflow/compression,https://github.com/tensorflow/compression,Apache-2.0,2018-05-15 23:32:19.000,2024-09-24 19:35:07.000000,2024-09-24 19:34:39,295.0,2.0,248.0,46.0,18.0,11.0,91.0,853.0,Data compression in TensorFlow.,21.0,21,True,2024-08-07 20:25:13.000,2.17.0,26.0,tensorflow-compression,,,['tensorflow'],,2923.0,2.0,,https://pypi.org/project/tensorflow-compression,2024-02-02 01:38:32.000,2.0,2923.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +692,iterative-stratification,trent-b/iterative-stratification,sklearn-utils,,https://github.com/trent-b/iterative-stratification,https://github.com/trent-b/iterative-stratification,BSD-3-Clause,2018-02-04 00:32:10.000,2022-06-06 22:38:33.000000,2022-06-06 22:38:33,57.0,,75.0,6.0,5.0,3.0,23.0,845.0,scikit-learn cross validators for iterative stratification of multilabel data.,7.0,21,False,2021-10-03 18:49:49.000,0.1.7,6.0,iterative-stratification,,,['sklearn'],,29816.0,493.0,478.0,https://pypi.org/project/iterative-stratification,2021-10-03 18:49:49.000,15.0,29816.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +693,PDPbox,SauceCat/PDPbox,data-viz,,https://github.com/SauceCat/PDPbox,https://github.com/SauceCat/PDPbox,MIT,2017-06-26 08:01:54.000,2024-09-03 22:24:30.000000,2023-06-05 01:35:02,228.0,,129.0,18.0,25.0,28.0,39.0,841.0,python partial dependence plot toolbox.,7.0,21,False,2023-06-05 02:53:01.145,0.3.0,4.0,pdpbox,conda-forge/pdpbox,,,,15105.0,26.0,,https://pypi.org/project/pdpbox,2021-03-14 16:21:17.000,26.0,14762.0,https://anaconda.org/conda-forge/pdpbox,2023-06-10 14:57:37.569,21636.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +694,deeplift,kundajelab/deeplift,interpretability,,https://github.com/kundajelab/deeplift,https://github.com/kundajelab/deeplift,MIT,2016-06-01 02:18:06.000,2022-04-28 10:04:52.000000,2021-11-11 17:50:26,553.0,,160.0,37.0,46.0,43.0,49.0,819.0,Public facing deeplift repo.,11.0,21,False,2018-07-13 21:11:52.000,0.6.6,21.0,deeplift,,,,,777.0,107.0,98.0,https://pypi.org/project/deeplift,2020-11-11 09:32:57.000,9.0,777.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +695,Objax,google/objax,ml-frameworks,,https://github.com/google/objax,https://github.com/google/objax,Apache-2.0,2020-08-20 06:20:40.000,2024-01-27 00:16:56.000000,2024-01-27 00:08:50,463.0,,78.0,25.0,162.0,51.0,62.0,768.0,Objax is a machine learning framework that provides an Object Oriented layer for JAX.,26.0,21,True,2023-11-06 22:17:30.000,1.8.0,11.0,objax,,,['jax'],,632.0,60.0,56.0,https://pypi.org/project/objax,2023-11-06 22:03:10.000,4.0,632.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +696,TreeInterpreter,andosa/treeinterpreter,interpretability,,https://github.com/andosa/treeinterpreter,https://github.com/andosa/treeinterpreter,BSD-3-Clause,2015-08-02 20:26:21.000,2023-07-18 10:50:27.000000,2021-02-28 18:33:06,37.0,,141.0,24.0,19.0,26.0,5.0,744.0,Package for interpreting scikit-learns decision tree and random forest predictions.,11.0,21,False,2021-01-10 20:12:39.000,0.2.3,5.0,treeinterpreter,conda-forge/treeinterpreter,,['sklearn'],,41697.0,667.0,659.0,https://pypi.org/project/treeinterpreter,2021-01-10 20:12:39.000,8.0,41521.0,https://anaconda.org/conda-forge/treeinterpreter,2023-06-16 19:22:55.011,8463.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +697,Test Tube,williamFalcon/test-tube,hyperopt,,https://github.com/williamFalcon/test-tube,https://github.com/williamFalcon/test-tube,MIT,2017-09-06 02:14:57.000,2022-07-22 06:10:37.000000,2020-03-17 22:44:47,642.0,,74.0,25.0,37.0,27.0,21.0,736.0,Python library to easily log experiments and parallelize hyperparameter search for neural networks.,16.0,21,False,2019-12-01 01:19:50.000,0.7.5,64.0,test_tube,,,,26.0,39959.0,35.0,,https://pypi.org/project/test_tube,2019-12-01 01:19:50.000,35.0,39959.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +698,combo,yzhao062/combo,sklearn-utils,,https://github.com/yzhao062/combo,https://github.com/yzhao062/combo,BSD-2-Clause,2019-07-14 01:13:36.000,2023-01-14 04:46:24.000000,2023-01-14 04:46:24,210.0,,107.0,30.0,1.0,15.0,3.0,641.0,(AAAI 20) A Python Toolbox for Machine Learning Model Combination.,2.0,21,False,2022-04-02 16:20:07.000,0.1.3,13.0,combo,,,"['sklearn', 'xgboost']",,22588.0,676.0,659.0,https://pypi.org/project/combo,2022-04-02 16:20:07.000,17.0,22588.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +699,Torchbearer,pytorchbearer/torchbearer,ml-frameworks,,https://github.com/pytorchbearer/torchbearer,https://github.com/pytorchbearer/torchbearer,MIT,2018-03-12 16:30:42.000,2023-12-04 11:10:47.000000,2023-12-04 11:10:46,442.0,,68.0,25.0,433.0,10.0,237.0,635.0,torchbearer: A model fitting library for PyTorch.,14.0,21,True,2023-12-01 18:48:07.000,0.5.5,26.0,torchbearer,,,['pytorch'],,1015.0,94.0,90.0,https://pypi.org/project/torchbearer,2023-12-01 18:48:07.000,4.0,1015.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +700,TensorBoard Logger,TeamHG-Memex/tensorboard_logger,ml-experiments,,https://github.com/TeamHG-Memex/tensorboard_logger,https://github.com/TeamHG-Memex/tensorboard_logger,MIT,2016-10-27 14:02:25.000,2022-12-26 20:24:35.000000,2019-10-21 07:52:07,46.0,,54.0,29.0,12.0,13.0,15.0,631.0,Log TensorBoard events without touching TensorFlow.,5.0,21,False,2018-02-08 07:28:51.000,0.1.0,5.0,tensorboard_logger,,,,,25565.0,222.0,214.0,https://pypi.org/project/tensorboard_logger,2018-02-08 07:28:51.000,8.0,25565.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +701,skope-rules,scikit-learn-contrib/skope-rules,sklearn-utils,,https://github.com/scikit-learn-contrib/skope-rules,https://github.com/scikit-learn-contrib/skope-rules,BSD-1-Clause,2018-02-18 13:42:47.000,2024-01-31 14:01:51.000000,2023-02-14 11:18:28,249.0,,95.0,26.0,32.0,35.0,6.0,616.0,machine learning with logical rules in Python.,19.0,21,False,2020-12-11 09:37:02.000,1.0.1,4.0,skope-rules,,,['sklearn'],,19812.0,407.0,399.0,https://pypi.org/project/skope-rules,2020-01-25 12:01:37.000,8.0,19812.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +702,HpBandSter,automl/HpBandSter,hyperopt,,https://github.com/automl/HpBandSter,https://github.com/automl/HpBandSter,BSD-3-Clause,2017-12-17 20:28:20.000,2023-06-16 19:24:00.330000,2022-04-22 06:33:31,188.0,,111.0,26.0,23.0,66.0,35.0,609.0,a distributed Hyperband implementation on Steroids.,11.0,21,False,2019-07-30 12:47:43.000,1.0,8.0,hpbandster,conda-forge/hpbandster,,,,7495.0,492.0,467.0,https://pypi.org/project/hpbandster,2018-11-06 12:56:55.000,25.0,7071.0,https://anaconda.org/conda-forge/hpbandster,2023-06-16 19:24:00.330,19522.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +703,Neuraxle,Neuraxio/Neuraxle,hyperopt,,https://github.com/Neuraxio/Neuraxle,https://github.com/Neuraxio/Neuraxle,Apache-2.0,2019-03-26 21:01:54.000,2023-05-01 22:43:43.000000,2022-08-16 17:43:49,1877.0,,57.0,19.0,216.0,49.0,315.0,606.0,The worlds cleanest AutoML library - Do hyperparameter tuning with the right pipeline abstractions to write clean deep..,9.0,21,False,2022-08-16 19:54:29.000,0.8.1,27.0,neuraxle,,,,,623.0,63.0,62.0,https://pypi.org/project/neuraxle,2022-08-16 19:50:37.507,1.0,623.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +704,featurewiz,AutoViML/featurewiz,hyperopt,,https://github.com/AutoViML/featurewiz,https://github.com/AutoViML/featurewiz,Apache-2.0,2020-11-29 16:46:16.000,2024-05-02 14:24:25.000000,2024-05-02 14:23:46,346.0,,85.0,7.0,20.0,4.0,92.0,585.0,Use advanced feature engineering strategies and select best features from your data set with a single line of code...,18.0,21,True,2024-02-10 13:12:00.000,0.5.7,162.0,featurewiz,,,,,31874.0,75.0,73.0,https://pypi.org/project/featurewiz,2024-02-10 13:12:00.000,2.0,31874.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +705,PyWaffle,gyli/PyWaffle,data-viz,,https://github.com/gyli/PyWaffle,https://github.com/gyli/PyWaffle,MIT,2017-11-14 20:03:47.000,2024-06-16 04:23:17.000000,2024-06-16 04:23:17,307.0,,105.0,9.0,15.0,6.0,16.0,580.0,Make Waffle Charts in Python.,6.0,21,True,2024-06-16 04:18:08.000,1.1.1,28.0,pywaffle,conda-forge/pywaffle,,,,7279.0,412.0,406.0,https://pypi.org/project/pywaffle,2024-06-16 04:18:08.000,6.0,7089.0,https://anaconda.org/conda-forge/pywaffle,2023-06-16 16:12:33.889,13322.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +706,seglearn,dmbee/seglearn,time-series-data,,https://github.com/dmbee/seglearn,https://github.com/dmbee/seglearn,BSD-3-Clause,2018-03-05 20:53:59.000,2022-08-27 09:01:18.000000,2022-08-27 09:00:35,283.0,,64.0,26.0,31.0,5.0,24.0,571.0,Python module for machine learning time series:.,14.0,21,False,2022-08-27 09:04:02.113,1.2.5,24.0,seglearn,,,,,1678.0,52.0,50.0,https://pypi.org/project/seglearn,2021-03-13 16:18:30.000,2.0,1678.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +707,Poutyne,GRAAL-Research/poutyne,pytorch-utils,,https://github.com/GRAAL-Research/poutyne,https://github.com/GRAAL-Research/poutyne,LGPL-3.0,2017-12-07 18:30:17.000,2024-07-08 19:15:42.000000,2024-07-08 19:11:02,771.0,4.0,63.0,17.0,114.0,8.0,48.0,570.0,A simplified framework and utilities for PyTorch.,23.0,21,False,2024-07-08 19:12:54.000,1.17.2,38.0,poutyne,,,['pytorch'],,4277.0,147.0,142.0,https://pypi.org/project/poutyne,2024-07-08 19:15:42.000,5.0,4277.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +708,joypy,leotac/joypy,data-viz,,https://github.com/leotac/joypy,https://github.com/leotac/joypy,MIT,2017-07-30 17:18:50.000,2024-03-21 11:25:40.000000,2021-12-19 09:41:43,133.0,,58.0,10.0,21.0,15.0,37.0,559.0,Joyplots in Python with matplotlib & pandas.,8.0,21,False,2021-12-19 09:42:50.000,0.2.6,17.0,joypy,conda-forge/joypy,,,,13620.0,451.0,442.0,https://pypi.org/project/joypy,2021-12-19 09:42:50.000,9.0,13205.0,https://anaconda.org/conda-forge/joypy,2023-06-16 16:14:43.440,27848.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +709,pyhsmm,mattjj/pyhsmm,probabilistics,,https://github.com/mattjj/pyhsmm,https://github.com/mattjj/pyhsmm,MIT,2012-03-18 17:40:13.000,2022-10-26 08:37:57.000000,2020-08-24 17:03:59,1426.0,,167.0,56.0,20.0,39.0,60.0,548.0,Bayesian inference in HSMMs and HMMs.,13.0,21,False,2017-05-10 17:14:37.000,0.1.7,8.0,pyhsmm,,,,,240.0,32.0,31.0,https://pypi.org/project/pyhsmm,2017-05-10 17:14:37.000,1.0,240.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +710,Auto ViML,AutoViML/Auto_ViML,hyperopt,,https://github.com/AutoViML/Auto_ViML,https://github.com/AutoViML/Auto_ViML,Apache-2.0,2019-06-10 13:09:15.000,2024-07-09 19:44:12.000000,2024-05-11 10:43:02,331.0,,100.0,26.0,8.0,1.0,33.0,520.0,Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome...,9.0,21,True,2024-05-11 10:46:51.000,0.1.800,146.0,autoviml,,,,,5434.0,29.0,26.0,https://pypi.org/project/autoviml,2024-05-11 10:46:51.000,3.0,5434.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +711,apricot,jmschrei/apricot,others,,https://github.com/jmschrei/apricot,https://github.com/jmschrei/apricot,MIT,2018-08-12 02:42:12.000,2024-08-20 18:39:53.000000,2021-11-18 21:06:54,172.0,,48.0,9.0,10.0,13.0,21.0,498.0,apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine..,4.0,21,False,2023-11-17 16:33:58.000,0.6.1,14.0,apricot-select,,,,29.0,6378.0,150.0,142.0,https://pypi.org/project/apricot-select,2021-02-18 06:55:02.000,8.0,6378.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +712,Popmon,ing-bank/popmon,data-viz,,https://github.com/ing-bank/popmon,https://github.com/ing-bank/popmon,MIT,2020-04-23 11:21:14.000,2024-09-23 04:22:16.000000,2023-07-18 10:24:07,542.0,,35.0,14.0,225.0,15.0,40.0,495.0,Monitor the stability of a Pandas or Spark dataframe.,17.0,21,False,2023-07-18 10:32:00.587,1.4.6,36.0,popmon,,,"['pandas', 'spark']",236.0,12933.0,23.0,21.0,https://pypi.org/project/popmon,2023-07-18 10:32:00.587,2.0,12929.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +713,pykale,pykale/pykale,others,,https://github.com/pykale/pykale,https://github.com/pykale/pykale,MIT,2020-06-30 08:06:10.000,2024-09-26 19:31:17.000000,2024-09-24 15:52:47,3054.0,27.0,63.0,11.0,268.0,11.0,112.0,437.0,Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary..,25.0,21,True,2023-07-13 11:41:03.541,0.1.2,12.0,pykale,,,['pytorch'],,298.0,3.0,3.0,https://pypi.org/project/pykale,2022-04-12 08:56:50.000,,298.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +714,Julius,adefossez/julius,audio,,https://github.com/adefossez/julius,https://github.com/adefossez/julius,MIT,2020-10-26 10:54:21.000,2022-09-26 14:14:12.000000,2022-09-19 16:13:14,69.0,,25.0,9.0,9.0,2.0,9.0,423.0,Fast PyTorch based DSP for audio and 1D signals.,2.0,21,False,2022-09-20 06:43:57.063,0.2.7,11.0,julius,,,['pytorch'],,419033.0,1850.0,1844.0,https://pypi.org/project/julius,2022-09-20 06:43:57.063,6.0,419033.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +715,optunity,claesenm/optunity,hyperopt,,https://github.com/claesenm/optunity,https://github.com/claesenm/optunity,BSD-3-Clause,2014-05-28 17:29:11.000,2023-11-25 01:31:29.000000,2020-05-11 14:32:38,782.0,,79.0,24.0,12.0,48.0,49.0,415.0,optimization routines for hyperparameter tuning.,9.0,21,False,2015-09-30 05:02:00.000,1.1.1,6.0,optunity,,,,104.0,4574.0,133.0,130.0,https://pypi.org/project/optunity,2015-09-30 05:02:00.000,3.0,4574.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +716,tsflex,predict-idlab/tsflex,time-series-data,,https://github.com/predict-idlab/tsflex,https://github.com/predict-idlab/tsflex,MIT,2021-07-06 15:16:45.577,2024-09-06 09:28:23.000000,2024-09-06 09:27:10,824.0,4.0,26.0,8.0,78.0,33.0,23.0,396.0,Flexible time series feature extraction & processing.,6.0,21,True,2024-09-06 09:28:53.000,0.4.1,38.0,tsflex,conda-forge/tsflex,,,,1790.0,17.0,15.0,https://pypi.org/project/tsflex,2024-09-06 09:26:32.000,2.0,1130.0,https://anaconda.org/conda-forge/tsflex,2024-04-08 09:54:58.786,25770.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +717,SUOD,yzhao062/SUOD,others,,https://github.com/yzhao062/SUOD,https://github.com/yzhao062/SUOD,BSD-2-Clause,2019-11-20 00:23:54.000,2024-02-08 01:53:44.000000,2024-02-08 01:48:49,168.0,,49.0,17.0,2.0,12.0,3.0,377.0,(MLSys 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection).,3.0,21,True,2024-02-08 01:53:44.000,0.1.3,14.0,suod,,,,,9861.0,539.0,531.0,https://pypi.org/project/suod,2024-02-08 01:53:44.000,8.0,9861.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +718,TensorFlow Cloud,tensorflow/cloud,tensorflow-utils,,https://github.com/tensorflow/cloud,https://github.com/tensorflow/cloud,Apache-2.0,2020-02-10 18:51:59.000,2024-02-25 19:17:18.000000,2024-02-25 19:17:13,576.0,,85.0,29.0,318.0,75.0,27.0,372.0,The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and..,27.0,21,True,2021-06-17 01:15:10.000,0.1.16,19.0,tensorflow-cloud,,,['tensorflow'],,31536.0,7.0,,https://pypi.org/project/tensorflow-cloud,2021-06-17 01:15:10.000,7.0,31536.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +719,impyute,eltonlaw/impyute,others,,https://github.com/eltonlaw/impyute,https://github.com/eltonlaw/impyute,MIT,2017-01-21 09:16:27.000,2021-11-06 21:15:04.000000,2021-11-06 21:15:04,292.0,,49.0,11.0,37.0,29.0,37.0,352.0,Data imputations library to preprocess datasets with missing data.,11.0,21,False,2019-04-29 02:33:05.659,0.0.8,8.0,impyute,,,,,4936.0,256.0,240.0,https://pypi.org/project/impyute,2017-05-31 08:31:47.000,16.0,4936.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +720,upgini,upgini/upgini,tabular,,https://github.com/upgini/upgini,https://github.com/upgini/upgini,BSD-3-Clause,2021-12-08 21:53:58.000,2024-10-03 09:34:25.000000,2024-09-27 06:33:10,788.0,41.0,25.0,5.0,295.0,4.0,,313.0,Data search & enrichment library for Machine Learning Easily find and add relevant features to your ML & AI pipeline..,13.0,21,True,2024-09-27 06:33:32.000,1.2.8,808.0,upgini,,,,,18863.0,8.0,8.0,https://pypi.org/project/upgini,2024-10-03 09:30:29.000,,18863.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +721,launchpad,deepmind/launchpad,distributed-ml,,https://github.com/google-deepmind/launchpad,https://github.com/google-deepmind/launchpad,Apache-2.0,2021-02-18 15:16:49.000,2023-08-22 08:22:46.000000,2023-08-22 08:22:26,367.0,,35.0,18.0,6.0,19.0,21.0,310.0,Launchpad is a library that simplifies writing distributed programs and seamlessly launching them on a range of..,28.0,21,False,2022-04-28 06:23:38.000,0.5.2,9.0,dm-launchpad,,,['tensorflow'],,1443.0,116.0,113.0,https://pypi.org/project/dm-launchpad,2022-04-28 06:23:38.000,3.0,1443.0,,,,3.0,,,,,,,,google-deepmind/launchpad,,,,,,,,,,,,,,,,, +722,sk-dist,Ibotta/sk-dist,distributed-ml,,https://github.com/Ibotta/sk-dist,https://github.com/Ibotta/sk-dist,Apache-2.0,2019-08-14 21:07:17.000,2024-04-18 12:38:22.000000,2023-02-07 20:17:52,60.0,,56.0,26.0,42.0,8.0,10.0,285.0,Distributed scikit-learn meta-estimators in PySpark.,8.0,21,False,2020-05-14 22:20:14.000,0.1.9,12.0,sk-dist,,,"['sklearn', 'spark']",,488893.0,19.0,17.0,https://pypi.org/project/sk-dist,2020-05-14 22:20:14.000,2.0,488893.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +723,OMLT,cog-imperial/omlt,model-serialisation,,https://github.com/cog-imperial/OMLT,https://github.com/cog-imperial/OMLT,,2021-06-03 12:39:38.000,2024-08-26 15:06:41.000000,2024-08-24 17:15:47,524.0,4.0,57.0,14.0,89.0,26.0,39.0,270.0,Represent trained machine learning models as Pyomo optimization formulations.,21.0,21,False,2024-08-26 15:06:41.000,1.2.0,8.0,omlt,,,,,12327.0,23.0,20.0,https://pypi.org/project/omlt,2024-08-26 15:06:41.000,3.0,12327.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +724,somoclu,peterwittek/somoclu,distributed-ml,,https://github.com/peterwittek/somoclu,https://github.com/peterwittek/somoclu,MIT,2013-01-16 06:33:16.000,2024-09-13 04:58:28.982000,2024-01-18 11:58:51,626.0,,68.0,28.0,31.0,33.0,113.0,267.0,"Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters.",20.0,21,False,2023-02-18 02:51:08.166,1.7.6,18.0,somoclu,conda-forge/somoclu,,,2052.0,5551.0,18.0,,https://pypi.org/project/somoclu,2023-02-18 02:51:08.166,18.0,3032.0,https://anaconda.org/conda-forge/somoclu,2024-09-13 04:58:28.982,120141.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +725,Glow,projectglow/glow,medical-data,,https://github.com/projectglow/glow,https://github.com/projectglow/glow,Apache-2.0,2019-10-04 21:26:47.000,2024-09-29 00:11:53.000000,2024-09-14 23:54:15,492.0,3.0,109.0,19.0,548.0,58.0,126.0,266.0,An open-source toolkit for large-scale genomic analysis.,28.0,21,False,2024-03-12 08:52:09.000,2.0.0,16.0,glow.py,conda-forge/glow,,,109.0,60741.0,,,https://pypi.org/project/glow.py,2024-03-12 08:52:09.000,,60627.0,https://anaconda.org/conda-forge/glow,2024-03-13 03:00:18.463,5009.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +726,pyRDF2Vec,IBCNServices/pyRDF2Vec,graph,,https://github.com/predict-idlab/pyRDF2Vec,https://github.com/predict-idlab/pyRDF2Vec,MIT,2019-06-13 11:36:12.000,2024-10-01 21:27:00.000000,2023-07-02 18:02:16,1462.0,,47.0,15.0,213.0,27.0,64.0,245.0,Python Implementation and Extension of RDF2Vec.,7.0,21,False,2021-06-09 10:56:14.000,0.2.3,11.0,pyrdf2vec,,,,,538.0,50.0,44.0,https://pypi.org/project/pyrdf2vec,2021-06-09 10:56:14.000,6.0,538.0,,,,3.0,,,,,,,,predict-idlab/pyRDF2Vec,,,,,,,,,,,,,,,,, +727,Larq Compute Engine,larq/compute-engine,model-serialisation,,https://github.com/larq/compute-engine,https://github.com/larq/compute-engine,Apache-2.0,2019-08-29 15:02:43.000,2024-08-09 06:53:19.000000,2024-08-09 06:53:17,591.0,3.0,34.0,24.0,644.0,21.0,129.0,242.0,Highly optimized inference engine for Binarized Neural Networks.,18.0,21,False,2024-06-21 06:39:45.000,0.16.0,21.0,larq-compute-engine,,,,1210.0,2276.0,9.0,9.0,https://pypi.org/project/larq-compute-engine,2024-06-21 07:18:03.000,,2255.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +728,numerizer,jaidevd/numerizer,nlp,,https://github.com/jaidevd/numerizer,https://github.com/jaidevd/numerizer,MIT,2019-12-02 07:00:34.000,2024-09-26 08:36:59.000000,2024-09-26 08:31:01,28.0,4.0,23.0,8.0,13.0,3.0,11.0,213.0,A Python module to convert natural language numerics into ints and floats.,4.0,21,False,2024-09-26 08:36:59.000,0.2.4,12.0,numerizer,,,,,22373.0,92.0,89.0,https://pypi.org/project/numerizer,2024-09-26 08:36:59.000,3.0,22373.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +729,DEβ«ΆTR,facebookresearch/detr,image,,https://github.com/facebookresearch/detr,https://github.com/facebookresearch/detr,Apache-2.0,2020-05-26 23:54:52.000,2024-03-12 15:58:25.000000,2024-03-12 15:58:25,48.0,,2392.0,148.0,89.0,255.0,286.0,13425.0,End-to-End Object Detection with Transformers.,27.0,20,True,2020-06-29 16:41:01.000,0.2,1.0,,,,['pytorch'],,,21.0,21.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +730,DeepMatcher,anhaidgroup/deepmatcher,nlp,,https://github.com/anhaidgroup/deepmatcher,https://github.com/anhaidgroup/deepmatcher,BSD-3-Clause,2017-12-01 19:01:11.000,2024-06-18 11:46:06.000000,2021-06-13 00:22:13,176.0,,1716.0,19.0,19.0,72.0,24.0,5096.0,Python package for performing Entity and Text Matching using Deep Learning.,7.0,20,False,2021-05-27 22:28:29.000,0.1.2,13.0,deepmatcher,,,,,5162.0,,,https://pypi.org/project/deepmatcher,2021-06-13 01:13:24.000,,5162.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +731,TensorWatch,microsoft/tensorwatch,ml-experiments,,https://github.com/microsoft/tensorwatch,https://github.com/microsoft/tensorwatch,MIT,2019-05-15 08:29:34.000,2023-08-30 07:47:40.000000,2023-08-30 07:47:36,119.0,,357.0,100.0,16.0,53.0,17.0,3412.0,"Debugging, monitoring and visualization for Python Machine Learning and Data Science.",15.0,20,False,2020-03-04 07:26:22.000,0.9.1,14.0,tensorwatch,,,,,979.0,160.0,153.0,https://pypi.org/project/tensorwatch,2020-03-04 07:26:22.000,7.0,979.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +732,lightseq,bytedance/lightseq,nlp,,https://github.com/bytedance/lightseq,https://github.com/bytedance/lightseq,Apache-2.0,2019-12-06 08:25:24.000,2023-05-16 10:47:48.000000,2023-05-10 04:35:39,269.0,,321.0,58.0,242.0,175.0,111.0,3177.0,LightSeq: A High Performance Library for Sequence Processing and Generation.,20.0,20,False,2022-11-03 06:46:55.989,3.0.1,22.0,lightseq,,,,693.0,3103.0,2.0,,https://pypi.org/project/lightseq,2022-11-03 06:46:55.989,2.0,3092.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +733,igel,nidhaloff/igel,hyperopt,,https://github.com/nidhaloff/igel,https://github.com/nidhaloff/igel,MIT,2020-08-27 20:54:59.000,2023-04-08 21:24:52.000000,2023-04-08 21:24:51,429.0,,171.0,65.0,54.0,6.0,44.0,3083.0,"a delightful machine learning tool that allows you to train, test, and use models without writing code.",20.0,20,False,2021-11-19 16:51:47.000,1.0.0,34.0,igel,,,,48.0,416.0,5.0,5.0,https://pypi.org/project/igel,2021-11-19 16:45:29.543,,416.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +734,image-match,ProvenanceLabs/image-match,image,,https://github.com/rhsimplex/image-match,https://github.com/rhsimplex/image-match,Apache-2.0,2016-03-08 18:16:45.000,2022-12-06 11:29:04.000000,2022-12-06 11:29:04,406.0,,398.0,101.0,54.0,64.0,48.0,2938.0,Quickly search over billions of images.,19.0,20,False,2017-02-13 14:54:48.000,1.1.2,10.0,image_match,,,,,762.0,4.0,,https://pypi.org/project/image_match,2017-02-13 14:54:48.000,4.0,762.0,,,,3.0,,,,,,,,rhsimplex/image-match,,,,,,,,,,,,,,,,, +735,StreamAlert,airbnb/streamalert,others,,https://github.com/airbnb/streamalert,https://github.com/airbnb/streamalert,Apache-2.0,2017-01-22 01:10:56.000,2023-10-23 17:15:34.000000,2022-07-20 20:54:36,1904.0,,332.0,101.0,1000.0,94.0,263.0,2853.0,"StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data..",33.0,20,False,2021-11-04 19:07:51.000,3.5.0,28.0,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +736,DeepWalk,phanein/deepwalk,graph,,https://github.com/phanein/deepwalk,https://github.com/phanein/deepwalk,GPL-3.0,2014-08-23 03:38:20.000,2023-06-14 23:22:41.000000,2020-04-02 01:05:35,46.0,,831.0,84.0,30.0,46.0,80.0,2672.0,DeepWalk - Deep Learning for Graphs.,10.0,20,False,2018-04-29 21:05:18.000,1.0.3,4.0,deepwalk,,,,,612.0,73.0,73.0,https://pypi.org/project/deepwalk,2018-04-29 21:05:18.000,,612.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +737,pycls,facebookresearch/pycls,image,,https://github.com/facebookresearch/pycls,https://github.com/facebookresearch/pycls,MIT,2019-06-10 22:47:17.000,2024-03-20 15:45:40.000000,2023-08-26 20:55:56,106.0,,237.0,61.0,106.0,27.0,56.0,2136.0,"Codebase for Image Classification Research, written in PyTorch.",19.0,20,False,2021-05-21 00:29:47.000,0.2,3.0,pycls,,,['pytorch'],,1374.0,19.0,19.0,https://pypi.org/project/pycls,2020-09-05 00:21:00.000,,1374.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +738,BlazingSQL,BlazingDB/blazingsql,gpu-utilities,,https://github.com/BlazingDB/blazingsql,https://github.com/BlazingDB/blazingsql,Apache-2.0,2018-09-24 18:25:45.000,2023-06-16 16:17:31.557000,2021-09-30 21:51:09,8208.0,,181.0,55.0,895.0,129.0,586.0,1930.0,"BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.",52.0,20,False,2021-08-16 15:40:43.000,21.08.00,19.0,,blazingsql/blazingsql-protocol,,,,17.0,,,,,,,https://anaconda.org/blazingsql/blazingsql-protocol,2023-06-16 16:17:31.557,1055.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +739,DIG,divelab/DIG,graph,,https://github.com/divelab/DIG,https://github.com/divelab/DIG,GPL-3.0,2020-10-30 03:51:15.000,2024-07-15 07:18:56.000000,2024-02-04 20:37:53,1083.0,,281.0,31.0,41.0,34.0,176.0,1853.0,A library for graph deep learning research.,50.0,20,False,2023-04-07 20:33:15.000,1.1.0,10.0,dig,,,,,440.0,,,https://pypi.org/project/dig,2015-08-23 10:30:20.000,,440.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +740,greykite,linkedin/greykite,time-series-data,,https://github.com/linkedin/greykite,https://github.com/linkedin/greykite,BSD-2-Clause,2021-04-27 17:05:53.000,2024-06-13 10:11:03.000000,2024-01-16 17:27:35,27.0,,104.0,39.0,31.0,30.0,79.0,1815.0,"A flexible, intuitive and fast forecasting library.",10.0,20,True,2024-01-18 18:33:20.000,1.0.0,11.0,greykite,,,,35.0,6137.0,33.0,33.0,https://pypi.org/project/greykite,2024-01-12 20:13:07.000,,6136.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +741,benchmark_VAE,clementchadebec/benchmark_VAE,others,,https://github.com/clementchadebec/benchmark_VAE,https://github.com/clementchadebec/benchmark_VAE,Apache-2.0,2021-10-02 16:26:24.000,2024-07-31 12:13:28.000000,2024-07-17 07:59:47,373.0,2.0,159.0,18.0,74.0,24.0,41.0,1782.0,Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022).,18.0,20,True,2023-09-06 15:46:59.000,0.1.2,12.0,pythae,,,['pytorch'],,2358.0,31.0,31.0,https://pypi.org/project/pythae,2023-09-06 15:46:59.000,,2358.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +742,Magnitude,plasticityai/magnitude,nn-search,,https://github.com/plasticityai/magnitude,https://github.com/plasticityai/magnitude,MIT,2018-02-24 07:28:16.000,2023-08-03 00:59:57.000000,2020-07-17 20:19:46,350.0,,118.0,38.0,11.0,39.0,51.0,1624.0,"A fast, efficient universal vector embedding utility package.",4.0,20,False,2020-05-25 11:26:36.000,0.1.143,128.0,pymagnitude,,,,,1944.0,9.0,,https://pypi.org/project/pymagnitude,2020-05-25 11:26:36.000,9.0,1944.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +743,DELTA,Delta-ML/delta,nlp,,https://github.com/Delta-ML/delta,https://github.com/Delta-ML/delta,Apache-2.0,2019-05-29 08:33:57.000,2024-04-19 09:46:18.000000,2020-12-17 06:57:15,932.0,,292.0,66.0,202.0,5.0,74.0,1590.0,DELTA is a deep learning based natural language and speech processing platform.,41.0,20,False,2020-07-16 09:31:45.000,0.3.3,4.0,delta-nlp,,,['tensorflow'],,296.0,1.0,1.0,https://pypi.org/project/delta-nlp,2020-03-27 04:46:19.000,,94.0,,,,3.0,zh794390558/delta,https://hub.docker.com/r/zh794390558/delta,2021-08-03 14:50:00.516864,,13131.0,,,,,,,,,,,,,,,,,,,, +744,Lambda Networks,lucidrains/lambda-networks,pytorch-utils,,https://github.com/lucidrains/lambda-networks,https://github.com/lucidrains/lambda-networks,MIT,2020-10-08 19:01:15.000,2020-11-18 19:54:34.000000,2020-11-18 19:54:30,31.0,,156.0,46.0,3.0,13.0,15.0,1532.0,"Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute.",3.0,20,False,2020-11-18 08:19:23.000,0.4.0,11.0,lambda-networks,,,['pytorch'],,1894.0,29.0,29.0,https://pypi.org/project/lambda-networks,2020-11-18 08:19:23.000,,1894.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +745,AdvBox,advboxes/AdvBox,adversarial,,https://github.com/advboxes/AdvBox,https://github.com/advboxes/AdvBox,Apache-2.0,2018-08-08 08:55:41.000,2023-02-15 19:57:27.000000,2022-08-08 02:56:23,378.0,,257.0,56.0,65.0,8.0,31.0,1380.0,Advbox is a toolbox to generate adversarial examples that fool neural networks in..,19.0,20,False,2018-12-05 02:48:50.000,0.4.1,2.0,advbox,,,,,179.0,3.0,3.0,https://pypi.org/project/advbox,2018-12-05 02:48:50.000,,179.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +746,DiCE,interpretml/DiCE,interpretability,,https://github.com/interpretml/DiCE,https://github.com/interpretml/DiCE,MIT,2019-05-02 09:51:02.000,2024-04-17 19:59:55.000000,2024-04-17 19:59:46,779.0,,182.0,19.0,262.0,77.0,94.0,1344.0,Generate Diverse Counterfactual Explanations for any machine learning model.,19.0,20,True,2023-10-26 11:36:48.000,0.11,12.0,dice-ml,,,"['tensorflow', 'pytorch']",,37440.0,6.0,,https://pypi.org/project/dice-ml,2023-10-27 03:54:06.000,6.0,37440.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +747,doc2text,jlsutherland/doc2text,ocr,,https://github.com/jlsutherland/doc2text,https://github.com/jlsutherland/doc2text,MIT,2016-08-28 19:30:02.000,2020-12-01 22:56:27.000000,2020-12-01 22:56:26,62.0,,101.0,39.0,13.0,14.0,9.0,1272.0,Detect text blocks and OCR poorly scanned PDFs in bulk. Python module available via pip.,5.0,20,False,2016-09-06 21:59:21.000,0.2.4,5.0,doc2text,,,,,2767.0,164.0,162.0,https://pypi.org/project/doc2text,2016-09-06 21:59:21.000,2.0,2767.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +748,AlphaPy,ScottfreeLLC/AlphaPy,hyperopt,,https://github.com/ScottfreeLLC/AlphaPy,https://github.com/ScottfreeLLC/AlphaPy,Apache-2.0,2016-02-14 00:47:32.000,2024-02-10 16:41:21.000000,2024-02-10 16:41:20,438.0,,201.0,62.0,7.0,13.0,29.0,1140.0,Python AutoML for Trading Systems and Sports Betting.,5.0,20,True,2020-08-29 18:48:20.000,2.5.0,25.0,alphapy,,,,,821.0,5.0,5.0,https://pypi.org/project/alphapy,2020-08-29 18:44:15.000,,821.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +749,UForm,unum-cloud/uform,nlp,,https://github.com/unum-cloud/uform,https://github.com/unum-cloud/uform,Apache-2.0,2023-02-21 10:04:40.000,2024-10-01 18:35:24.000000,2024-10-01 18:33:14,293.0,4.0,61.0,15.0,62.0,9.0,21.0,1027.0,"Pocket-Sized Multimodal AI for content understanding and generation across multilingual texts, images, and video, up..",18.0,20,True,2024-10-01 18:35:24.000,3.0.3,35.0,uform,,,['pytorch'],412.0,1494.0,8.0,6.0,https://pypi.org/project/uform,2024-10-01 18:35:24.000,2.0,1474.0,,,,3.0,,,,,,2.0,,,,,,,,,,,,,,,,,,, +750,geoplotlib,andrea-cuttone/geoplotlib,geospatial-data,,https://github.com/andrea-cuttone/geoplotlib,https://github.com/andrea-cuttone/geoplotlib,MIT,2015-02-24 13:13:07.000,2023-06-16 19:26:09.140000,2019-05-06 07:06:50,159.0,,169.0,57.0,14.0,30.0,19.0,1026.0,python toolbox for visualizing geographical data and making maps.,8.0,20,False,2016-07-27 14:55:01.000,0.3.2,4.0,geoplotlib,conda-forge/geoplotlib,,,,656.0,183.0,181.0,https://pypi.org/project/geoplotlib,2016-07-27 14:55:01.000,2.0,428.0,https://anaconda.org/conda-forge/geoplotlib,2023-06-16 19:26:09.140,9371.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +751,nude.py,hhatto/nude.py,image,,https://github.com/hhatto/nude.py,https://github.com/hhatto/nude.py,MIT,2013-06-09 06:55:55.000,2020-11-23 13:49:32.000000,2020-11-23 13:49:02,79.0,,130.0,36.0,16.0,9.0,4.0,922.0,Nudity detection with Python.,12.0,20,False,2020-11-23 13:49:17.000,0.5.1,10.0,nudepy,,,,,667.0,3640.0,3635.0,https://pypi.org/project/nudepy,2020-11-23 13:49:17.000,5.0,667.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +752,evojax,google/evojax,jax-utils,,https://github.com/google/evojax,https://github.com/google/evojax,Apache-2.0,2021-12-07 00:30:07.000,2024-06-27 07:32:19.000000,2024-06-27 07:26:43,298.0,,83.0,23.0,49.0,16.0,17.0,832.0,EvoJAX: Hardware-accelerated Neuroevolution.,14.0,20,True,2024-06-18 06:17:13.000,0.2.17,23.0,evojax,conda-forge/evojax,,['jax'],,2054.0,31.0,25.0,https://pypi.org/project/evojax,2024-06-18 06:17:13.000,6.0,1132.0,https://anaconda.org/conda-forge/evojax,2024-06-18 11:07:15.191,29530.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +753,sklearn-deap,rsteca/sklearn-deap,hyperopt,,https://github.com/rsteca/sklearn-deap,https://github.com/rsteca/sklearn-deap,MIT,2015-10-28 22:52:34.000,2024-02-10 07:16:54.000000,2021-07-30 15:06:27,104.0,,126.0,30.0,29.0,21.0,34.0,771.0,Use evolutionary algorithms instead of gridsearch in scikit-learn.,23.0,20,False,2021-07-30 15:13:54.000,0.3.0,14.0,sklearn-deap,,,['sklearn'],,1076.0,46.0,46.0,https://pypi.org/project/sklearn-deap,2021-07-30 15:13:54.000,,1076.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +754,NearPy,pixelogik/NearPy,nn-search,,https://github.com/pixelogik/NearPy,https://github.com/pixelogik/NearPy,MIT,2013-04-25 09:10:26.000,2023-02-23 15:20:18.000000,2023-01-22 20:07:16,161.0,,147.0,36.0,33.0,26.0,39.0,763.0,"Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different..",20.0,20,False,2016-09-27 13:04:44.000,1.0.0,8.0,NearPy,,,,,696.0,114.0,114.0,https://pypi.org/project/NearPy,2016-09-27 13:03:12.000,,696.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +755,Merlin,NVIDIA-Merlin/Merlin,gpu-utilities,,https://github.com/NVIDIA-Merlin/Merlin,https://github.com/NVIDIA-Merlin/Merlin,Apache-2.0,2021-03-30 23:35:26.000,2024-07-28 01:04:48.000000,2024-07-22 10:16:42,493.0,1.0,112.0,34.0,561.0,211.0,246.0,758.0,"NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature..",32.0,20,True,2024-06-14 12:19:07.000,24.06.00,16.0,merlin-core,,,,,9456.0,1.0,,https://pypi.org/project/merlin-core,2023-08-29 16:27:32.000,1.0,9456.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +756,Auto TS,AutoViML/Auto_TS,time-series-data,,https://github.com/AutoViML/Auto_TS,https://github.com/AutoViML/Auto_TS,Apache-2.0,2020-02-15 15:23:32.000,2024-08-20 13:45:17.000000,2024-05-05 11:51:05,300.0,,113.0,18.0,26.0,1.0,87.0,726.0,"Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of..",13.0,20,True,2024-05-05 11:51:57.000,0.0.92,39.0,auto-ts,,,,,9071.0,,,https://pypi.org/project/auto-ts,2024-05-05 11:51:57.000,,9071.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +757,dabl,amueller/dabl,sklearn-utils,,https://github.com/amueller/dabl,https://github.com/amueller/dabl,BSD-3-Clause,2020-01-30 18:26:49.000,2024-08-07 20:31:21.000000,2024-01-09 18:05:38,305.0,,106.0,5.0,3.0,1.0,,722.0,Data Analysis Baseline Library.,24.0,20,True,2024-08-07 20:31:21.000,0.3.1,19.0,dabl,,,['sklearn'],,4829.0,3.0,,https://pypi.org/project/dabl,2024-08-07 20:31:21.000,3.0,4829.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +758,detecto,alankbi/detecto,image,,https://github.com/alankbi/detecto,https://github.com/alankbi/detecto,MIT,2019-12-11 21:50:28.000,2024-07-25 11:20:23.000000,2022-02-09 16:35:40,142.0,,103.0,23.0,26.0,44.0,61.0,613.0,Build fully-functioning computer vision models with PyTorch.,12.0,20,False,2022-02-02 00:22:07.000,1.2.2,13.0,detecto,conda-forge/detecto,,['pytorch'],,4839.0,184.0,182.0,https://pypi.org/project/detecto,2022-02-02 00:12:06.000,2.0,4720.0,https://anaconda.org/conda-forge/detecto,2023-06-16 19:26:16.964,4774.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +759,N2,kakao/n2,nn-search,,https://github.com/kakao/n2,https://github.com/kakao/n2,Apache-2.0,2017-11-23 02:27:59.000,2023-06-27 16:54:16.000000,2023-06-27 16:54:13,266.0,,75.0,39.0,17.0,14.0,22.0,569.0,TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets.,22.0,20,False,2020-10-16 03:43:47.000,0.1.7,9.0,n2,,,,,305.0,37.0,33.0,https://pypi.org/project/n2,2020-10-16 03:10:01.000,4.0,305.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +760,deepsnap,snap-stanford/deepsnap,graph,,https://github.com/snap-stanford/deepsnap,https://github.com/snap-stanford/deepsnap,MIT,2020-06-06 21:17:38.000,2023-11-11 03:23:44.000000,2023-11-11 03:23:44,413.0,,57.0,60.0,9.0,25.0,25.0,543.0,Python library assists deep learning on graphs.,18.0,20,True,2021-09-05 23:08:21.000,0.2.1,5.0,deepsnap,,,,13.0,419.0,112.0,110.0,https://pypi.org/project/deepsnap,2021-09-05 22:57:16.000,2.0,419.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +761,rrcf,kLabUM/rrcf,others,,https://github.com/kLabUM/rrcf,https://github.com/kLabUM/rrcf,MIT,2018-10-20 05:39:05.000,2024-02-24 12:21:01.000000,2023-08-12 16:28:59,266.0,,109.0,20.0,57.0,26.0,21.0,495.0,Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams.,7.0,20,False,2023-04-30 02:25:49.592,0.4.4,8.0,rrcf,,,,,5490.0,82.0,74.0,https://pypi.org/project/rrcf,2023-04-30 02:25:49.592,8.0,5490.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +762,animatplot,t-makaro/animatplot,data-viz,,https://github.com/t-makaro/animatplot,https://github.com/t-makaro/animatplot,MIT,2017-04-03 00:54:04.000,2024-09-01 04:12:59.669000,2024-08-29 18:18:33,183.0,5.0,38.0,9.0,32.0,17.0,20.0,410.0,A python package for animating plots build on matplotlib.,7.0,20,True,2024-08-29 18:26:55.000,0.4.3,11.0,animatplot,conda-forge/animatplot,,,,788.0,63.0,59.0,https://pypi.org/project/animatplot,2024-08-29 17:08:23.000,4.0,487.0,https://anaconda.org/conda-forge/animatplot,2024-09-01 04:12:59.669,14494.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +763,MXBoard,awslabs/mxboard,ml-experiments,,https://github.com/awslabs/mxboard,https://github.com/awslabs/mxboard,Apache-2.0,2018-02-06 23:03:51.000,2021-11-30 10:46:24.000000,2020-01-24 23:21:55,42.0,,52.0,25.0,19.0,15.0,17.0,324.0,Logging MXNet data for visualization in TensorBoard.,9.0,20,False,2018-05-22 20:25:51.000,0.1.0,12.0,mxboard,,,['mxnet'],,2808.0,255.0,255.0,https://pypi.org/project/mxboard,2018-05-22 20:25:51.000,,2808.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +764,vegafusion,vegafusion/vegafusion,data-viz,,https://github.com/vega/vegafusion,https://github.com/vega/vegafusion,BSD-3-Clause,2021-10-01 09:19:27.000,2024-10-01 00:51:05.000000,2024-08-14 15:39:49,663.0,2.0,18.0,23.0,357.0,50.0,87.0,317.0,Serverside scaling for Vega and Altair visualizations.,4.0,20,True,2024-05-09 19:19:11.000,1.6.9,75.0,vegafusion-jupyter,conda-forge/vegafusion-python-embed,,,7518.0,9202.0,5.0,,https://pypi.org/project/vegafusion-jupyter,2024-05-09 19:01:07.000,2.0,1106.0,https://anaconda.org/conda-forge/vegafusion-python-embed,2024-05-10 13:02:13.580,238570.0,3.0,,,,,,,,vega/vegafusion,vegafusion-jupyter,https://www.npmjs.com/package/vegafusion-jupyter,2024-05-09 19:11:31.675,3.0,174.0,,,,,,,,,,,, +765,textpipe,textpipe/textpipe,nlp,,https://github.com/textpipe/textpipe,https://github.com/textpipe/textpipe,MIT,2018-06-21 16:23:32.000,2021-06-09 11:55:53.000000,2021-06-09 11:55:53,371.0,,26.0,22.0,239.0,24.0,25.0,300.0,Textpipe: clean and extract metadata from text.,29.0,20,False,2021-01-25 14:05:21.000,0.12.2,39.0,textpipe,,,,,661.0,10.0,9.0,https://pypi.org/project/textpipe,2021-01-25 14:05:21.000,1.0,661.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +766,PipelineDP,OpenMined/PipelineDP,privacy-ml,,https://github.com/OpenMined/PipelineDP,https://github.com/OpenMined/PipelineDP,Apache-2.0,2021-02-10 18:04:22.000,2024-09-13 15:25:32.000000,2024-09-13 15:25:31,427.0,5.0,76.0,21.0,443.0,27.0,51.0,274.0,PipelineDP is a Python framework for applying differentially private aggregations to large datasets using batch..,32.0,20,False,2023-10-25 10:51:36.000,0.2.1,23.0,pipeline-dp,,,,,308.0,3.0,3.0,https://pypi.org/project/pipeline-dp,2023-11-22 19:01:05.000,,308.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +767,Funsor,pyro-ppl/funsor,probabilistics,,https://github.com/pyro-ppl/funsor,https://github.com/pyro-ppl/funsor,Apache-2.0,2019-01-30 23:13:39.000,2023-08-31 18:37:21.000000,2023-08-31 18:34:42,577.0,,21.0,18.0,464.0,90.0,76.0,235.0,Functional tensors for probabilistic programming.,11.0,20,False,2023-08-31 18:37:22.000,0.4.6,12.0,funsor,,,['pytorch'],,7838.0,81.0,71.0,https://pypi.org/project/funsor,2023-01-23 08:32:39.757,10.0,7838.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +768,pyfasttext,vrasneur/pyfasttext,nlp,,https://github.com/vrasneur/pyfasttext,https://github.com/vrasneur/pyfasttext,GPL-3.0,2017-06-30 18:44:42.000,2018-12-08 15:32:09.000000,2018-12-08 15:02:12,153.0,,31.0,9.0,4.0,20.0,29.0,227.0,Yet another Python binding for fastText.,4.0,20,False,2018-12-08 15:32:09.000,0.4.6,13.0,pyfasttext,,,,414.0,1373.0,445.0,443.0,https://pypi.org/project/pyfasttext,2018-12-08 15:32:09.000,2.0,1369.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +769,SerpentAI,SerpentAI/SerpentAI,reinforcement-learning,,https://github.com/SerpentAI/SerpentAI,https://github.com/SerpentAI/SerpentAI,MIT,2017-04-16 21:48:39.000,2022-11-07 01:59:31.000000,2020-05-22 22:34:09,250.0,,765.0,337.0,58.0,2.0,,6748.0,Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!.,7.0,19,False,2018-02-17 00:12:46.000,2018.1.2,18.0,SerpentAI,,,,369.0,366.0,,,https://pypi.org/project/SerpentAI,2018-02-17 00:12:46.000,,360.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +770,pytorchviz,szagoruyko/pytorchviz,pytorch-utils,,https://github.com/szagoruyko/pytorchviz,https://github.com/szagoruyko/pytorchviz,MIT,2018-01-30 15:37:55.000,2024-04-02 17:52:52.000000,2021-06-15 18:41:51,22.0,,279.0,31.0,22.0,34.0,37.0,3179.0,A small package to create visualizations of PyTorch execution graphs.,6.0,19,False,,,,,,,,,,2169.0,2169.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +771,keepsake,replicate/keepsake,ml-experiments,,https://github.com/replicate/keepsake,https://github.com/replicate/keepsake,Apache-2.0,2020-07-01 04:37:44.000,2024-08-12 14:02:24.000000,2022-05-24 23:48:09,791.0,,71.0,27.0,1005.0,127.0,65.0,1649.0,Version control for machine learning.,17.0,19,False,2021-03-11 21:15:01.000,0.4.2,7.0,keepsake,,,,,232.0,1.0,,https://pypi.org/project/keepsake,2021-01-25 21:51:16.000,1.0,232.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +772,Torch-Struct,harvardnlp/pytorch-struct,pytorch-utils,,https://github.com/harvardnlp/pytorch-struct,https://github.com/harvardnlp/pytorch-struct,MIT,2019-08-26 19:34:30.000,2022-04-20 08:21:20.000000,2022-01-30 19:49:08,271.0,,93.0,33.0,72.0,31.0,30.0,1107.0,"Fast, general, and tested differentiable structured prediction in PyTorch.",16.0,19,False,2021-02-15 20:20:59.000,0.5,2.0,torch-struct,,,['pytorch'],,10314.0,2.0,,https://pypi.org/project/torch-struct,2021-02-14 02:43:46.000,2.0,10314.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +773,XAI,EthicalML/xai,interpretability,,https://github.com/EthicalML/xai,https://github.com/EthicalML/xai,MIT,2019-01-11 20:00:09.000,2021-10-30 06:35:19.000000,2021-10-30 06:30:12,91.0,,167.0,43.0,6.0,4.0,7.0,1104.0,XAI - An eXplainability toolbox for machine learning.,3.0,19,False,2021-10-30 06:35:19.000,0.1.0,6.0,xai,,,,,376.0,31.0,31.0,https://pypi.org/project/xai,2021-10-30 06:33:26.000,,376.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +774,Performer Pytorch,lucidrains/performer-pytorch,pytorch-utils,,https://github.com/lucidrains/performer-pytorch,https://github.com/lucidrains/performer-pytorch,MIT,2020-10-03 03:41:36.000,2022-02-02 20:34:04.000000,2022-02-02 20:33:18,124.0,,138.0,17.0,11.0,42.0,43.0,1085.0,"An implementation of Performer, a linear attention-based transformer, in Pytorch.",6.0,19,False,2022-02-02 20:34:04.000,1.1.4,80.0,performer-pytorch,,,['pytorch'],,5634.0,160.0,155.0,https://pypi.org/project/performer-pytorch,2022-02-02 20:34:04.000,5.0,5634.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +775,robustness,MadryLab/robustness,adversarial,,https://github.com/MadryLab/robustness,https://github.com/MadryLab/robustness,MIT,2019-08-21 09:26:33.000,2024-01-11 13:06:10.000000,2022-02-14 20:43:06,145.0,,179.0,18.0,42.0,23.0,60.0,911.0,"A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.",13.0,19,False,2020-12-01 06:11:12.000,1.2.1.post2,10.0,robustness,conda-forge/robustness,,,,814.0,193.0,190.0,https://pypi.org/project/robustness,2020-12-01 06:21:33.000,3.0,619.0,https://anaconda.org/conda-forge/robustness,2023-06-16 19:21:11.893,9754.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +776,pytorch2keras,gmalivenko/pytorch2keras,model-serialisation,,https://github.com/gmalivenko/pytorch2keras,https://github.com/gmalivenko/pytorch2keras,MIT,2017-11-16 20:21:43.000,2022-12-08 11:42:52.000000,2021-08-06 08:18:46,282.0,,141.0,14.0,24.0,58.0,69.0,858.0,PyTorch to Keras model convertor.,13.0,19,False,2020-05-14 10:03:56.000,0.2.4,23.0,pytorch2keras,,,,,428.0,102.0,101.0,https://pypi.org/project/pytorch2keras,2020-05-14 10:03:56.000,1.0,428.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +777,Dragonfly,dragonfly/dragonfly,hyperopt,,https://github.com/dragonfly/dragonfly,https://github.com/dragonfly/dragonfly,MIT,2018-04-20 22:19:50.000,2023-06-19 20:23:17.000000,2022-10-01 22:21:50,400.0,,230.0,29.0,38.0,43.0,21.0,851.0,An open source python library for scalable Bayesian optimisation.,13.0,19,False,2022-10-01 22:28:00.848,0.1.7,10.0,dragonfly-opt,,,,,2498.0,,,https://pypi.org/project/dragonfly-opt,2022-10-01 22:28:00.848,,2498.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +778,matrixprofile-ts,target/matrixprofile-ts,time-series-data,,https://github.com/target/matrixprofile-ts,https://github.com/target/matrixprofile-ts,Apache-2.0,2018-09-10 19:03:34.000,2024-07-16 19:49:29.000000,2020-04-25 18:37:42,198.0,,101.0,26.0,49.0,15.0,54.0,734.0,A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile.,15.0,19,False,2019-08-08 01:24:38.000,0.0.9,9.0,matrixprofile-ts,,,,,649.0,29.0,27.0,https://pypi.org/project/matrixprofile-ts,2019-08-08 01:24:38.000,2.0,649.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +779,tcav,tensorflow/tcav,interpretability,,https://github.com/tensorflow/tcav,https://github.com/tensorflow/tcav,Apache-2.0,2018-07-03 17:45:35.000,2024-07-30 21:34:45.000000,2021-09-16 17:56:31,171.0,,144.0,34.0,84.0,16.0,55.0,628.0,Code for the TCAV ML interpretability project.,19.0,19,False,2021-02-23 16:17:42.000,0.2.2,4.0,tcav,,,['tensorflow'],,159.0,26.0,23.0,https://pypi.org/project/tcav,2021-02-23 16:17:42.000,3.0,159.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +780,opytimizer,gugarosa/opytimizer,hyperopt,,https://github.com/gugarosa/opytimizer,https://github.com/gugarosa/opytimizer,Apache-2.0,2017-11-01 16:04:01.000,2024-08-18 17:19:42.000000,2024-08-18 17:07:49,821.0,2.0,40.0,15.0,18.0,,22.0,599.0,Opytimizer is a Python library consisting of meta-heuristic optimization algorithms.,4.0,19,True,2024-08-18 17:19:42.000,3.1.4,28.0,opytimizer,,,,,701.0,18.0,18.0,https://pypi.org/project/opytimizer,2024-08-18 17:19:42.000,,701.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +781,recmetrics,statisticianinstilettos/recmetrics,recommender-systems,,https://github.com/statisticianinstilettos/recmetrics,https://github.com/statisticianinstilettos/recmetrics,MIT,2018-10-15 15:29:49.000,2024-01-11 20:34:53.000000,2023-10-04 12:31:54,297.0,,97.0,15.0,53.0,13.0,16.0,565.0,A library of metrics for evaluating recommender systems.,20.0,19,True,2022-04-26 18:03:18.000,0.1.5,20.0,recmetrics,,,,8.0,4309.0,56.0,56.0,https://pypi.org/project/recmetrics,2022-04-26 17:57:01.000,,4309.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +782,fastT5,Ki6an/fastT5,nlp,,https://github.com/Ki6an/fastT5,https://github.com/Ki6an/fastT5,Apache-2.0,2021-03-11 08:46:42.000,2023-04-24 18:46:40.000000,2022-04-05 03:21:24,38.0,,71.0,13.0,10.0,24.0,41.0,564.0,boost inference speed of T5 models by 5x & reduce the model size by 3x.,5.0,19,False,2022-04-05 03:23:12.000,0.1.4,14.0,fastt5,,,,,1223.0,52.0,52.0,https://pypi.org/project/fastt5,2022-04-05 03:23:12.000,,1223.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +783,Auto Tune Models,HDI-Project/ATM,hyperopt,,https://github.com/HDI-Project/ATM,https://github.com/HDI-Project/ATM,MIT,2016-10-14 18:03:00.000,2020-02-21 17:44:07.000000,2020-02-21 17:40:58,775.0,,140.0,56.0,72.0,18.0,71.0,525.0,"Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).",17.0,19,False,2019-07-30 09:28:26.000,0.2.2,14.0,atm,,,,,410.0,21.0,21.0,https://pypi.org/project/atm,2019-07-30 09:25:11.000,,410.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +784,elegy,poets-ai/elegy,ml-frameworks,,https://github.com/poets-ai/elegy,https://github.com/poets-ai/elegy,MIT,2020-06-30 14:00:37.000,2022-12-15 19:23:10.000000,2022-05-23 17:26:29,339.0,,32.0,16.0,148.0,40.0,66.0,469.0,A High Level API for Deep Learning in JAX.,18.0,19,False,2022-03-23 21:51:07.000,0.8.6,33.0,elegy,,,"['tensorflow', 'jax']",,931.0,53.0,53.0,https://pypi.org/project/elegy,2022-04-22 15:42:03.000,,931.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +785,sklearn-evaluation,edublancas/sklearn-evaluation,interpretability,,https://github.com/edublancas/sklearn-evaluation,https://github.com/edublancas/sklearn-evaluation,MIT,2023-01-15 21:18:52.000,2024-09-18 17:05:04.000000,2023-01-13 21:57:34,832.0,,54.0,,,,,455.0,"Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook..",19.0,19,False,2024-09-18 17:05:04.000,0.12.2,50.0,sklearn-evaluation,,,['sklearn'],,4606.0,3.0,,https://pypi.org/project/sklearn-evaluation,2024-09-18 17:05:04.000,3.0,4606.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +786,pymdp,infer-actively/pymdp,others,,https://github.com/infer-actively/pymdp,https://github.com/infer-actively/pymdp,MIT,2019-11-27 19:03:35.000,2024-10-03 08:28:42.000000,2024-07-16 08:32:27,987.0,5.0,84.0,30.0,98.0,15.0,27.0,450.0,A Python implementation of active inference for Markov Decision Processes.,18.0,19,True,2023-03-25 17:58:52.000,0.0.7.1,8.0,inferactively-pymdp,,,,,443.0,12.0,12.0,https://pypi.org/project/inferactively-pymdp,2022-12-08 15:25:01.498,,443.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +787,scikit-rebate,EpistasisLab/scikit-rebate,others,,https://github.com/EpistasisLab/scikit-rebate,https://github.com/EpistasisLab/scikit-rebate,MIT,2016-09-19 13:36:17.000,2023-06-16 16:08:23.527000,2021-02-15 17:10:59,283.0,,72.0,25.0,48.0,18.0,19.0,408.0,"A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for..",14.0,19,False,2017-04-12 16:12:01.000,0.3.4,13.0,skrebate,conda-forge/skrebate,,['sklearn'],,5657.0,28.0,,https://pypi.org/project/skrebate,2021-03-20 17:11:52.000,28.0,5231.0,https://anaconda.org/conda-forge/skrebate,2023-06-16 16:08:23.527,34546.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +788,fairness-indicators,tensorflow/fairness-indicators,interpretability,,https://github.com/tensorflow/fairness-indicators,https://github.com/tensorflow/fairness-indicators,Apache-2.0,2019-09-30 22:56:45.000,2024-08-28 17:11:07.000000,2024-04-26 20:31:49,327.0,,78.0,25.0,345.0,26.0,10.0,341.0,Tensorflows Fairness Evaluation and Visualization Toolkit.,36.0,19,True,2024-04-26 21:27:16.000,0.46.0,31.0,fairness-indicators,,,"['tensorflow', 'jupyter']",,1578.0,,,https://pypi.org/project/fairness-indicators,2024-04-26 21:27:16.000,,1578.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +789,Camphr,PKSHATechnology-Research/camphr,nlp,,https://github.com/PKSHATechnology-Research/camphr,https://github.com/PKSHATechnology-Research/camphr,Apache-2.0,2020-02-10 03:39:58.000,2023-03-07 22:10:10.175000,2021-08-18 06:06:51,1404.0,,17.0,6.0,217.0,4.0,26.0,340.0,Camphr - NLP libary for creating pipeline components.,8.0,19,False,2023-03-07 22:10:10.175,0.8.9,49.0,camphr,,,['spacy'],,1437.0,16.0,14.0,https://pypi.org/project/camphr,2023-03-07 22:10:10.175,2.0,1437.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +790,DeepGraph,deepgraph/deepgraph,graph,,https://github.com/deepgraph/deepgraph,https://github.com/deepgraph/deepgraph,BSD-3-Clause,2015-10-27 12:28:45.000,2024-09-03 22:45:13.000000,2024-03-27 08:46:27,190.0,,41.0,19.0,4.0,10.0,8.0,284.0,Analyze Data with Pandas-based Networks. Documentation:.,3.0,19,False,2024-03-27 10:16:33.000,0.2.4,14.0,deepgraph,conda-forge/deepgraph,,['pandas'],,5650.0,10.0,10.0,https://pypi.org/project/deepgraph,2024-03-27 10:16:33.000,,1039.0,https://anaconda.org/conda-forge/deepgraph,2024-07-11 16:39:33.824,221347.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +791,celer,mathurinm/celer,sklearn-utils,,https://github.com/mathurinm/celer,https://github.com/mathurinm/celer,BSD-3-Clause,2018-02-20 19:37:31.000,2024-08-01 08:27:07.000000,2024-08-01 08:10:33,265.0,3.0,33.0,11.0,202.0,21.0,76.0,199.0,"Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.",13.0,19,False,2023-07-26 15:36:39.000,0.7.3,15.0,celer,,,['sklearn'],,992.0,40.0,39.0,https://pypi.org/project/celer,2023-07-26 15:36:39.000,1.0,992.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +792,mesh-transformer-jax,kingoflolz/mesh-transformer-jax,distributed-ml,,https://github.com/kingoflolz/mesh-transformer-jax,https://github.com/kingoflolz/mesh-transformer-jax,Apache-2.0,2021-03-13 23:31:13.000,2023-01-21 00:09:29.000000,2023-01-12 19:54:10,143.0,,891.0,112.0,51.0,46.0,160.0,6282.0,Model parallel transformers in JAX and Haiku.,23.0,18,False,,,,,,,['jax'],,,20.0,20.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +793,scenic,google-research/scenic,image,,https://github.com/google-research/scenic,https://github.com/google-research/scenic,Apache-2.0,2021-07-12 14:27:08.000,2024-10-02 11:40:35.000000,2024-09-30 19:52:44,705.0,11.0,425.0,39.0,856.0,149.0,119.0,3269.0,Scenic: A Jax Library for Computer Vision Research and Beyond.,85.0,18,True,,,,,,,['jax'],,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +794,Spotlight,maciejkula/spotlight,recommender-systems,,https://github.com/maciejkula/spotlight,https://github.com/maciejkula/spotlight,MIT,2017-06-25 18:52:19.000,2023-06-16 13:22:46.522000,2020-02-09 21:03:48,299.0,,415.0,106.0,83.0,67.0,48.0,2974.0,Deep recommender models using PyTorch.,11.0,18,False,2019-09-08 10:19:53.000,0.1.6,7.0,,maciejkula/spotlight,,['pytorch'],,99.0,,,,,,,https://anaconda.org/maciejkula/spotlight,2023-06-16 13:22:46.522,8737.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +795,NeuroNER,Franck-Dernoncourt/NeuroNER,nlp,,https://github.com/Franck-Dernoncourt/NeuroNER,https://github.com/Franck-Dernoncourt/NeuroNER,MIT,2017-03-07 01:24:15.000,2023-03-24 22:29:09.000000,2019-10-02 23:26:11,132.0,,459.0,80.0,36.0,83.0,68.0,1693.0,Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.,7.0,18,False,2019-10-02 23:30:15.000,1.0.8,7.0,pyneuroner,,,,,222.0,,,https://pypi.org/project/pyneuroner,2019-10-02 23:30:15.000,,222.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +796,GraphGym,snap-stanford/GraphGym,graph,,https://github.com/snap-stanford/GraphGym,https://github.com/snap-stanford/GraphGym,MIT,2020-10-14 05:01:35.000,2023-11-10 05:37:18.000000,2023-03-14 23:02:49,75.0,,178.0,24.0,20.0,18.0,30.0,1685.0,Platform for designing and evaluating Graph Neural Networks (GNN).,6.0,18,False,2022-03-24 23:28:17.000,0.4.0,3.0,graphgym,,,,45.0,108.0,7.0,7.0,https://pypi.org/project/graphgym,2022-03-24 23:19:13.000,,107.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +797,Advisor,tobegit3hub/advisor,hyperopt,,https://github.com/tobegit3hub/advisor,https://github.com/tobegit3hub/advisor,Apache-2.0,2017-09-14 03:50:33.000,2019-11-11 07:09:57.869705,2019-11-11 06:59:31,165.0,,254.0,52.0,13.0,20.0,13.0,1545.0,Open-source implementation of Google Vizier for hyper parameters tuning.,11.0,18,False,2018-10-18 02:54:09.000,0.1.6,4.0,advisor,,,,,279.0,,,https://pypi.org/project/advisor,2018-10-18 02:54:09.000,,260.0,,,,3.0,tobegit3hub/advisor,https://hub.docker.com/r/tobegit3hub/advisor,2019-11-11 07:09:57.869705,,1692.0,,,,,,,,,,,,,,,,,,,, +798,Xcessiv,reiinakano/xcessiv,hyperopt,,https://github.com/reiinakano/xcessiv,https://github.com/reiinakano/xcessiv,Apache-2.0,2017-03-07 18:18:25.000,2018-06-06 22:23:37.000000,2017-08-21 00:51:15,316.0,,109.0,55.0,34.0,22.0,13.0,1266.0,"A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.",6.0,18,False,2017-08-21 00:53:25.000,0.5.1,34.0,xcessiv,,,,,451.0,3.0,2.0,https://pypi.org/project/xcessiv,2017-08-21 00:49:41.000,1.0,451.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +799,LOFO,aerdem4/lofo-importance,interpretability,,https://github.com/aerdem4/lofo-importance,https://github.com/aerdem4/lofo-importance,MIT,2019-01-14 10:46:46.000,2024-01-16 09:19:50.000000,2024-01-16 09:12:58,32.0,,84.0,14.0,35.0,3.0,24.0,816.0,Leave One Feature Out Importance.,6.0,18,True,2024-01-16 09:19:50.000,0.3.4,14.0,lofo-importance,,,,,3253.0,37.0,33.0,https://pypi.org/project/lofo-importance,2024-01-16 09:19:50.000,4.0,3253.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +800,tffm,geffy/tffm,tensorflow-utils,,https://github.com/geffy/tffm,https://github.com/geffy/tffm,MIT,2016-05-02 17:06:07.000,2022-01-17 20:39:04.000000,2022-01-17 20:38:58,107.0,,175.0,33.0,15.0,19.0,22.0,780.0,TensorFlow implementation of an arbitrary order Factorization Machine.,11.0,18,False,2022-01-17 20:35:57.000,1.0.2,3.0,tffm,,,['tensorflow'],,129.0,14.0,14.0,https://pypi.org/project/tffm,2022-01-17 20:35:57.000,,129.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +801,Tensor Sensor,parrt/tensor-sensor,pytorch-utils,,https://github.com/parrt/tensor-sensor,https://github.com/parrt/tensor-sensor,MIT,2020-08-28 22:54:04.000,2023-06-16 19:27:38.210000,2022-04-07 20:49:56,235.0,,36.0,12.0,13.0,8.0,16.0,771.0,"The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy,..",4.0,18,False,2021-12-11 21:24:11.000,1.0,37.0,tensor-sensor,conda-forge/tensor-sensor,,['pytorch'],,3202.0,44.0,44.0,https://pypi.org/project/tensor-sensor,2021-12-11 21:24:35.000,,3105.0,https://anaconda.org/conda-forge/tensor-sensor,2023-06-16 19:27:38.210,3513.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +802,ThunderGBM,Xtra-Computing/thundergbm,ml-frameworks,,https://github.com/Xtra-Computing/thundergbm,https://github.com/Xtra-Computing/thundergbm,Apache-2.0,2016-11-11 09:58:08.000,2024-01-29 12:26:32.000000,2024-01-29 12:26:25,611.0,,87.0,25.0,4.0,39.0,42.0,692.0,ThunderGBM: Fast GBDTs and Random Forests on GPUs.,12.0,18,True,2022-09-19 20:15:07.376,0.3.17,25.0,thundergbm,,,,,693.0,3.0,3.0,https://pypi.org/project/thundergbm,2022-09-19 20:15:07.376,,693.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +803,nboost,koursaros-ai/nboost,nlp,,https://github.com/koursaros-ai/nboost,https://github.com/koursaros-ai/nboost,Apache-2.0,2019-10-29 20:56:24.000,2020-09-30 14:51:16.000000,2020-07-16 19:48:25,1336.0,,65.0,17.0,21.0,29.0,50.0,675.0,"NBoost is a scalable, search-api-boosting platform for deploying transformer models to improve the relevance of search..",10.0,18,False,2020-06-12 20:05:15.000,0.3.9,26.0,nboost,,,,,529.0,4.0,4.0,https://pypi.org/project/nboost,2020-06-12 20:05:15.000,,529.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +804,baikal,alegonz/baikal,others,,https://github.com/alegonz/baikal,https://github.com/alegonz/baikal,BSD-3-Clause,2019-01-21 12:59:02.000,2023-10-01 08:59:57.840000,2021-04-11 07:50:00,405.0,,29.0,18.0,42.0,6.0,18.0,592.0,A graph-based functional API for building complex scikit-learn pipelines.,2.0,18,False,2020-11-15 13:40:18.000,0.4.2,15.0,baikal,conda-forge/cython-blis,,,,47041.0,14.0,13.0,https://pypi.org/project/baikal,2020-11-15 13:40:18.000,1.0,431.0,https://anaconda.org/conda-forge/cython-blis,2023-10-01 08:59:57.840,2283907.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +805,shap-hypetune,cerlymarco/shap-hypetune,hyperopt,,https://github.com/cerlymarco/shap-hypetune,https://github.com/cerlymarco/shap-hypetune,MIT,2021-05-16 09:30:03.000,2024-06-08 12:12:57.000000,2024-02-21 14:09:04,30.0,,69.0,7.0,6.0,4.0,32.0,561.0,A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.,3.0,18,True,2024-02-21 14:38:09.000,0.2.7,10.0,shap-hypetune,,,,,2452.0,21.0,19.0,https://pypi.org/project/shap-hypetune,2024-02-21 14:34:22.000,2.0,2452.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +806,Quantus,understandable-machine-intelligence-lab/quantus,interpretability,,https://github.com/understandable-machine-intelligence-lab/Quantus,https://github.com/understandable-machine-intelligence-lab/Quantus,GPL-3.0,2021-03-18 15:04:58.000,2024-09-20 20:01:05.000000,2024-08-11 17:21:13,1772.0,1.0,75.0,10.0,218.0,50.0,81.0,535.0,Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations.,20.0,18,False,2023-12-05 11:42:47.000,0.5.3,27.0,quantus,,,,237.0,1009.0,35.0,34.0,https://pypi.org/project/quantus,2023-12-05 11:42:47.000,1.0,1002.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +807,scikit-tda,scikit-tda/scikit-tda,sklearn-utils,,https://github.com/scikit-tda/scikit-tda,https://github.com/scikit-tda/scikit-tda,MIT,2018-04-13 21:00:31.000,2024-07-19 18:49:00.000000,2024-07-19 16:10:42,70.0,1.0,54.0,18.0,10.0,4.0,18.0,522.0,Topological Data Analysis for Python.,6.0,18,True,2024-07-19 18:49:00.000,1.1.1,6.0,scikit-tda,,,['sklearn'],,1130.0,61.0,61.0,https://pypi.org/project/scikit-tda,2024-07-19 18:49:00.000,,1130.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +808,Case Recommender,caserec/CaseRecommender,recommender-systems,,https://github.com/caserec/CaseRecommender,https://github.com/caserec/CaseRecommender,MIT,2015-11-12 18:25:39.000,2024-01-10 20:36:33.000000,2021-11-25 23:08:43,204.0,,92.0,22.0,19.0,6.0,20.0,482.0,Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems.,11.0,18,False,2021-11-25 23:19:05.000,1.1.1,42.0,caserecommender,,,['sklearn'],,680.0,13.0,13.0,https://pypi.org/project/caserecommender,2021-11-25 23:19:05.000,,680.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +809,Sematch,gsi-upm/sematch,graph,,https://github.com/gsi-upm/sematch,https://github.com/gsi-upm/sematch,Apache-2.0,2012-11-30 11:11:53.000,2023-11-07 11:11:44.000000,2023-11-07 11:10:46,137.0,,105.0,71.0,7.0,15.0,19.0,430.0,semantic similarity framework for knowledge graph.,10.0,18,True,2017-04-17 10:56:52.000,1.0.4,5.0,sematch,,,,,530.0,47.0,47.0,https://pypi.org/project/sematch,2017-04-17 10:56:52.000,,530.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +810,model-card-toolkit,tensorflow/model-card-toolkit,interpretability,,https://github.com/tensorflow/model-card-toolkit,https://github.com/tensorflow/model-card-toolkit,Apache-2.0,2020-07-24 16:48:58.000,2023-07-26 12:05:00.000000,2023-07-26 12:04:59,273.0,,82.0,20.0,248.0,10.0,23.0,419.0,A toolkit that streamlines and automates the generation of model cards.,22.0,18,False,2023-04-03 18:05:05.715,2.0.0,12.0,model-card-toolkit,,,,26.0,1805.0,1.0,,https://pypi.org/project/model-card-toolkit,2022-04-28 16:34:21.000,1.0,1805.0,,,,3.0,,,,,,-2.0,,,,,,,,,,,,,,,,,,, +811,carefree-learn,carefree0910/carefree-learn,tabular,,https://github.com/carefree0910/carefree-learn,https://github.com/carefree0910/carefree-learn,MIT,2020-06-17 17:44:17.000,2024-03-18 12:01:04.000000,2024-03-18 12:01:00,5152.0,,38.0,12.0,1.0,2.0,80.0,400.0,Deep Learning PyTorch.,1.0,18,True,2024-01-09 05:17:07.000,0.5.0,103.0,carefree-learn,,,['pytorch'],,1856.0,7.0,7.0,https://pypi.org/project/carefree-learn,2024-01-09 05:17:07.000,,1856.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +812,textaugment,dsfsi/textaugment,nlp,,https://github.com/dsfsi/textaugment,https://github.com/dsfsi/textaugment,MIT,2019-05-06 12:28:19.000,2024-02-20 11:57:52.000000,2023-11-17 08:50:12,72.0,,60.0,8.0,12.0,11.0,18.0,395.0,TextAugment: Text Augmentation Library.,8.0,18,True,2023-11-16 20:54:10.000,2.0.0,9.0,textaugment,,,,109.0,5322.0,131.0,127.0,https://pypi.org/project/textaugment,2023-11-16 20:49:04.000,4.0,5321.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +813,datmo,datmo/datmo,ml-experiments,,https://github.com/datmo/datmo,https://github.com/datmo/datmo,MIT,2017-11-03 05:46:43.000,2022-06-21 21:41:58.000000,2019-11-29 00:48:44,1051.0,,30.0,11.0,121.0,31.0,150.0,344.0,Open source production model management tool for data scientists.,6.0,18,False,2018-12-07 06:16:42.000,0.0.40,41.0,datmo,,,,,263.0,6.0,6.0,https://pypi.org/project/datmo,2018-12-07 06:16:42.000,,263.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +814,Sherpa,sherpa-ai/sherpa,hyperopt,,https://github.com/sherpa-ai/sherpa,https://github.com/sherpa-ai/sherpa,GPL-3.0,2018-05-16 21:41:54.000,2020-10-18 07:57:50.000000,2020-10-18 07:57:48,823.0,,52.0,11.0,60.0,17.0,41.0,333.0,"Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.",43.0,18,False,2020-07-31 05:29:09.000,1.0.7,8.0,parameter-sherpa,,,,,329.0,41.0,37.0,https://pypi.org/project/parameter-sherpa,2019-11-23 21:32:27.000,4.0,329.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +815,Brainiak,brainiak/brainiak,medical-data,,https://github.com/brainiak/brainiak,https://github.com/brainiak/brainiak,Apache-2.0,2016-02-08 23:19:27.000,2024-09-03 22:33:34.000000,2024-07-08 16:17:35,399.0,1.0,129.0,34.0,325.0,83.0,132.0,332.0,Brain Imaging Analysis Kit.,35.0,18,True,2019-08-27 23:52:29.000,0.9.1,15.0,brainiak,,,,,414.0,,,https://pypi.org/project/brainiak,2020-10-15 20:45:08.000,,397.0,,,,3.0,brainiak/brainiak,https://hub.docker.com/r/brainiak/brainiak,2020-10-15 21:11:03.379549,1.0,1869.0,,,,,,,,,,,,,,,,,,,, +816,bluefog,Bluefog-Lib/bluefog,distributed-ml,,https://github.com/Bluefog-Lib/bluefog,https://github.com/Bluefog-Lib/bluefog,Apache-2.0,2019-12-03 05:27:21.000,2024-07-25 10:59:34.000000,2023-03-28 03:38:13,1094.0,,69.0,28.0,59.0,30.0,32.0,291.0,Distributed and decentralized training framework for PyTorch over graph.,9.0,18,False,2021-05-15 01:39:45.000,0.3.0,10.0,bluefog,,,['pytorch'],202.0,214.0,4.0,4.0,https://pypi.org/project/bluefog,2021-05-15 01:39:45.000,,211.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +817,solt,Oulu-IMEDS/solt,image,,https://github.com/Oulu-IMEDS/solt,https://github.com/Oulu-IMEDS/solt,MIT,2018-08-02 15:09:05.000,2024-07-25 10:53:20.000000,2024-06-22 08:32:56,378.0,,19.0,6.0,33.0,20.0,39.0,263.0,Streaming over lightweight data transformations.,6.0,18,False,2020-03-10 14:09:31.000,0.1.9,18.0,solt,,,,,592.0,60.0,57.0,https://pypi.org/project/solt,2020-03-10 14:09:31.000,3.0,592.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +818,skggm,skggm/skggm,sklearn-utils,,https://github.com/skggm/skggm,https://github.com/skggm/skggm,MIT,2016-06-11 18:35:56.000,2024-03-20 15:29:38.000000,2023-06-15 16:53:55,703.0,,43.0,11.0,60.0,31.0,47.0,240.0,Scikit-learn compatible estimation of general graphical models.,7.0,18,False,2018-09-12 01:12:49.000,0.2.8,6.0,skggm,,,['sklearn'],,174.0,20.0,16.0,https://pypi.org/project/skggm,2018-09-12 01:12:49.000,4.0,174.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +819,Muda,bmcfee/muda,audio,,https://github.com/bmcfee/muda,https://github.com/bmcfee/muda,ISC,2014-11-07 21:21:22.000,2021-12-15 16:53:25.527000,2021-05-03 14:04:36,293.0,,33.0,14.0,36.0,9.0,44.0,231.0,A library for augmenting annotated audio data.,7.0,18,False,2019-11-15 15:46:21.000,0.4.1,12.0,muda,,,,,230.0,31.0,29.0,https://pypi.org/project/muda,2019-11-15 15:46:21.000,2.0,230.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +820,nvidia-ml-py3,nicolargo/nvidia-ml-py3,gpu-utilities,,https://github.com/nicolargo/nvidia-ml-py3,https://github.com/nicolargo/nvidia-ml-py3,BSD-3-Clause,2017-06-03 07:47:03.000,2024-06-30 08:01:08.000000,2024-06-30 08:01:08,6.0,,57.0,5.0,2.0,3.0,1.0,131.0,Python 3 Bindings for the NVIDIA Management Library.,2.0,18,False,2017-06-03 07:43:46.000,7.352.0,1.0,nvidia-ml-py3,anaconda/nvidia-ml,,,,320066.0,9798.0,9669.0,https://pypi.org/project/nvidia-ml-py3,2017-06-03 07:43:46.000,129.0,320035.0,https://anaconda.org/anaconda/nvidia-ml,2023-06-16 19:26:58.970,1244.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +821,DeepMind Lab,deepmind/lab,reinforcement-learning,,https://github.com/google-deepmind/lab,https://github.com/google-deepmind/lab,,2016-11-30 13:41:26.000,2023-01-04 15:38:37.000000,2023-01-04 15:19:06,509.0,,1349.0,466.0,21.0,59.0,167.0,7105.0,A customisable 3D platform for agent-based AI research.,9.0,17,False,2020-12-07 11:26:33.000,release-2020-12-07,8.0,,,,,,,,,,,,,,,,3.0,,,,,,,,google-deepmind/lab,,,,,,,,,,,,,,,,, +822,Tez,abhishekkrthakur/tez,pytorch-utils,,https://github.com/abhishekkrthakur/tez,https://github.com/abhishekkrthakur/tez,Apache-2.0,2020-11-13 10:19:22.000,2023-01-29 16:52:18.000000,2022-09-16 11:03:31,144.0,,144.0,17.0,11.0,25.0,18.0,1162.0,Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle..,2.0,17,False,2022-09-20 02:28:33.973,0.7.2,26.0,tez,,,['pytorch'],,545.0,58.0,56.0,https://pypi.org/project/tez,2022-09-20 02:28:33.973,2.0,545.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +823,Fiber,uber/fiber,distributed-ml,,https://github.com/uber/fiber,https://github.com/uber/fiber,Apache-2.0,2020-01-07 18:16:24.000,2023-03-19 22:55:22.000000,2021-03-15 07:00:08,66.0,,109.0,19.0,37.0,20.0,8.0,1043.0,Distributed Computing for AI Made Simple.,5.0,17,False,2020-07-09 03:28:28.000,0.2.1,6.0,fiber,,,,,191.0,80.0,79.0,https://pypi.org/project/fiber,2020-07-09 03:28:28.000,1.0,191.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +824,parallelformers,tunib-ai/parallelformers,distributed-ml,,https://github.com/tunib-ai/parallelformers,https://github.com/tunib-ai/parallelformers,Apache-2.0,2021-07-17 12:50:43.000,2023-04-24 11:42:30.000000,2022-07-27 19:55:38,93.0,,57.0,15.0,10.0,26.0,17.0,776.0,Parallelformers: An Efficient Model Parallelization Toolkit for Deployment.,5.0,17,False,2022-07-27 19:52:00.185,1.2.7,19.0,parallelformers,,,,,520.0,57.0,57.0,https://pypi.org/project/parallelformers,2022-07-27 19:52:00.185,,520.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +825,Caer,jasmcaus/caer,image,,https://github.com/jasmcaus/caer,https://github.com/jasmcaus/caer,MIT,2020-08-06 18:36:14.000,2023-10-13 12:16:35.000000,2023-04-01 08:26:45,5080.0,,111.0,20.0,58.0,2.0,13.0,769.0,"A lightweight Computer Vision library. Scale your models, not boilerplate.",8.0,17,False,2021-10-13 21:04:12.000,2.0.8,119.0,caer,,https://caer.rtfd.io,,40.0,7064.0,2.0,,https://pypi.org/project/caer,2021-10-13 21:04:12.000,2.0,7064.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +826,HyperparameterHunter,HunterMcGushion/hyperparameter_hunter,hyperopt,,https://github.com/HunterMcGushion/hyperparameter_hunter,https://github.com/HunterMcGushion/hyperparameter_hunter,MIT,2018-06-01 23:17:00.000,2021-01-20 03:52:41.000000,2021-01-20 03:52:40,1096.0,,103.0,24.0,101.0,37.0,84.0,705.0,Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries.,4.0,17,False,2021-02-16 11:34:12.211,3.0.0,16.0,hyperparameter-hunter,,,,510.0,353.0,,,https://pypi.org/project/hyperparameter-hunter,2018-06-14 02:21:57.000,,347.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +827,kglib,vaticle/kglib,graph,,https://github.com/typedb/typedb-ml,https://github.com/typedb/typedb-ml,Apache-2.0,2018-09-16 16:46:48.000,2023-11-18 17:08:08.000000,2023-11-18 17:08:08,508.0,,98.0,38.0,106.0,12.0,51.0,551.0,TypeDB-ML is the Machine Learning integrations library for TypeDB.,13.0,17,True,2022-07-29 11:37:34.000,0.3.0,8.0,grakn-kglib,,,,240.0,232.0,,,https://pypi.org/project/grakn-kglib,2020-08-19 15:39:10.000,,229.0,,,,3.0,,,,,,,,typedb/typedb-ml,,,,,,,,,,,,,,,,, +828,DESlib,scikit-learn-contrib/DESlib,sklearn-utils,,https://github.com/scikit-learn-contrib/DESlib,https://github.com/scikit-learn-contrib/DESlib,BSD-3-Clause,2017-12-08 22:49:49.000,2024-04-15 06:19:14.000000,2024-04-15 06:19:14,282.0,,105.0,13.0,130.0,18.0,138.0,479.0,A Python library for dynamic classifier and ensemble selection.,17.0,17,True,2024-04-12 03:07:31.000,0.3.7,6.0,deslib,,,['sklearn'],,1067.0,3.0,,https://pypi.org/project/deslib,2024-04-12 03:07:31.000,3.0,1067.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +829,OpenRec,ylongqi/openrec,recommender-systems,,https://github.com/ylongqi/openrec,https://github.com/ylongqi/openrec,Apache-2.0,2017-11-29 16:04:40.000,2023-03-24 23:54:19.000000,2020-02-19 07:57:17,213.0,,84.0,36.0,47.0,5.0,12.0,411.0,OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms.,11.0,17,False,2020-02-18 06:52:11.000,0.3.0,12.0,openrec,,,,,233.0,4.0,3.0,https://pypi.org/project/openrec,2020-02-18 06:52:11.000,1.0,233.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +830,tfdeploy,riga/tfdeploy,model-serialisation,,https://github.com/riga/tfdeploy,https://github.com/riga/tfdeploy,BSD-3-Clause,2016-03-07 13:08:21.000,2024-02-25 19:50:49.000000,2024-02-25 19:50:49,174.0,,38.0,21.0,5.0,11.0,23.0,352.0,Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.,4.0,17,True,2017-03-30 10:51:26.000,0.4.2,22.0,tfdeploy,,,['tensorflow'],,279.0,,,https://pypi.org/project/tfdeploy,2017-03-30 10:51:26.000,,279.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +831,skift,shaypal5/skift,nlp,,https://github.com/shaypal5/skift,https://github.com/shaypal5/skift,MIT,2018-02-03 11:37:21.000,2022-06-07 15:07:07.000000,2022-06-07 15:07:04,141.0,,24.0,10.0,8.0,1.0,10.0,235.0,scikit-learn wrappers for Python fastText.,9.0,17,False,2022-02-14 13:45:54.000,0.0.23,18.0,skift,,,['sklearn'],,4144.0,16.0,16.0,https://pypi.org/project/skift,2018-03-15 09:05:47.000,,4144.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +832,chitra,gradsflow/chitra,ml-experiments,,https://github.com/aniketmaurya/chitra,https://github.com/aniketmaurya/chitra,Apache-2.0,2020-01-23 14:17:54.000,2024-07-02 00:10:02.000000,2024-06-01 12:08:31,372.0,,37.0,6.0,134.0,,35.0,224.0,"A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model..",14.0,17,False,2021-11-26 17:10:22.000,0.2.0,38.0,chitra,conda-forge/chitra,,,,2090.0,1.0,,https://pypi.org/project/chitra,2022-01-09 08:50:45.005,1.0,1981.0,https://anaconda.org/conda-forge/chitra,2023-06-18 08:40:33.534,3597.0,3.0,,,,,,,,aniketmaurya/chitra,,,,,,,,,,,,,,,,, +833,Torch Points 3D,nicolas-chaulet/torch-points3d,image,,https://github.com/nicolas-chaulet/torch-points3d,https://github.com/nicolas-chaulet/torch-points3d,BSD-3-Clause,2022-01-09 14:41:37.000,2021-12-10 20:17:18.000000,2021-12-10 20:17:18,1788.0,,45.0,1.0,,,,212.0,Pytorch framework for doing deep learning on point clouds.,29.0,17,False,2021-04-30 09:00:22.000,1.3.0,14.0,torch-points3d,,,['pytorch'],,1319.0,,,https://pypi.org/project/torch-points3d,2021-04-30 09:00:22.000,,1319.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +834,modelkit,Cornerstone-OnDemand/modelkit,model-serialisation,,https://github.com/Cornerstone-OnDemand/modelkit,https://github.com/Cornerstone-OnDemand/modelkit,MIT,2021-05-14 12:10:51.000,2024-06-06 14:34:14.000000,2024-06-06 14:27:44,864.0,,17.0,8.0,184.0,11.0,23.0,155.0,Toolkit for developing and maintaining ML models.,14.0,17,False,2024-02-02 14:57:28.000,0.1.2,35.0,modelkit,,,,,9460.0,,,https://pypi.org/project/modelkit,2024-02-02 14:55:53.000,,9460.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +835,steppy,minerva-ml/steppy,ml-experiments,,https://github.com/minerva-ml/steppy,https://github.com/minerva-ml/steppy,MIT,2018-01-15 09:40:49.000,2018-11-23 09:49:59.000000,2018-11-23 09:47:34,69.0,,32.0,13.0,54.0,16.0,50.0,134.0,"Lightweight, Python library for fast and reproducible experimentation.",7.0,17,False,2018-11-23 09:49:59.000,0.1.16,16.0,steppy,,,,,306.0,63.0,58.0,https://pypi.org/project/steppy,2018-11-23 09:49:59.000,5.0,306.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +836,Collie,ShopRunner/collie,recommender-systems,,https://github.com/ShopRunner/collie,https://github.com/ShopRunner/collie,BSD-3-Clause,2021-04-12 20:54:06.000,2024-02-21 16:29:12.000000,2023-03-31 15:44:32,231.0,,20.0,31.0,53.0,7.0,7.0,107.0,"A library for preparing, training, and evaluating scalable deep learning hybrid recommender systems using PyTorch.",15.0,17,False,2023-03-31 16:09:03.477,1.3.1,10.0,collie,,,['pytorch'],,301.0,49.0,49.0,https://pypi.org/project/collie,2022-01-18 23:07:16.000,,301.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +837,OpenNRE,thunlp/OpenNRE,nlp,,https://github.com/thunlp/OpenNRE,https://github.com/thunlp/OpenNRE,MIT,2017-02-26 07:37:12.000,2024-01-10 11:52:49.000000,2024-01-10 11:52:48,177.0,,1055.0,119.0,24.0,17.0,353.0,4322.0,An Open-Source Package for Neural Relation Extraction (NRE).,13.0,16,True,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +838,StarSpace,facebookresearch/StarSpace,ml-frameworks,,https://github.com/facebookresearch/StarSpace,https://github.com/facebookresearch/StarSpace,MIT,2017-06-28 17:50:18.000,2022-12-04 04:02:21.000000,2019-12-13 19:03:25,138.0,,531.0,176.0,110.0,56.0,149.0,3939.0,"Learning embeddings for classification, retrieval and ranking.",17.0,16,False,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +839,Euler,alibaba/euler,graph,,https://github.com/alibaba/euler,https://github.com/alibaba/euler,Apache-2.0,2019-01-10 06:32:32.000,2023-08-19 12:30:48.000000,2020-07-29 05:53:01,8.0,,560.0,138.0,28.0,217.0,102.0,2894.0,A distributed graph deep learning framework.,5.0,16,False,2020-07-07 02:24:18.000,2.0.0,2.0,euler-gl,,,['tensorflow'],,43.0,1.0,1.0,https://pypi.org/project/euler-gl,2019-04-10 01:53:45.000,,43.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +840,automl-gs,minimaxir/automl-gs,hyperopt,,https://github.com/minimaxir/automl-gs,https://github.com/minimaxir/automl-gs,MIT,2019-01-13 18:57:44.000,2019-10-22 11:20:40.000000,2019-04-05 06:48:14,102.0,,170.0,61.0,10.0,26.0,6.0,1846.0,"Provide an input CSV and a target field to predict, generate a model + code to run it.",7.0,16,False,2019-04-05 06:51:04.000,0.2.1,2.0,automl_gs,,,,50.0,77.0,,,https://pypi.org/project/automl_gs,2019-04-05 06:47:54.000,,77.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +841,AutoGL,THUMNLab/AutoGL,graph,,https://github.com/THUMNLab/AutoGL,https://github.com/THUMNLab/AutoGL,Apache-2.0,2020-11-30 14:26:22.000,2024-08-08 16:55:04.000000,2024-02-05 15:11:35,743.0,,119.0,29.0,111.0,14.0,25.0,1085.0,An autoML framework & toolkit for machine learning on graphs.,15.0,16,True,2022-12-30 06:11:04.000,0.4.0,4.0,auto-graph-learning,,,['pytorch'],,,,,https://pypi.org/project/auto-graph-learning,2020-12-23 08:05:25.000,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +842,TextBox,RUCAIBox/TextBox,nlp,,https://github.com/RUCAIBox/TextBox,https://github.com/RUCAIBox/TextBox,MIT,2020-11-08 07:35:46.000,2023-07-27 14:39:30.000000,2023-05-18 02:26:52,1358.0,,117.0,19.0,295.0,3.0,70.0,1071.0,TextBox 2.0 is a text generation library with pre-trained language models.,18.0,16,False,2022-12-28 02:06:22.000,2.0.0,10.0,textbox,,,,,4.0,7.0,7.0,https://pypi.org/project/textbox,2021-04-15 09:35:06.000,,4.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +843,MedicalTorch,perone/medicaltorch,medical-data,,https://github.com/perone/medicaltorch,https://github.com/perone/medicaltorch,Apache-2.0,2018-02-27 02:50:07.000,2024-04-26 17:46:05.000000,2021-04-16 18:50:54,57.0,,121.0,49.0,22.0,15.0,9.0,844.0,A medical imaging framework for Pytorch.,8.0,16,False,2018-11-24 00:33:11.000,0.2,2.0,medicaltorch,,,['pytorch'],,149.0,17.0,17.0,https://pypi.org/project/medicaltorch,2018-11-24 00:29:36.000,,149.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +844,Translate,pytorch/translate,nlp,,https://github.com/pytorch/translate,https://github.com/pytorch/translate,BSD-3-Clause,2018-04-24 16:44:04.000,2023-04-27 20:56:00.000000,2022-06-10 23:04:56,813.0,,203.0,42.0,667.0,28.0,27.0,823.0,Translate - a PyTorch Language Library.,88.0,16,False,,,1.0,pytorch-translate,,,['pytorch'],,39.0,,,https://pypi.org/project/pytorch-translate,2018-05-01 19:59:40.000,,39.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +845,madgrad,facebookresearch/madgrad,pytorch-utils,,https://github.com/facebookresearch/madgrad,https://github.com/facebookresearch/madgrad,MIT,2021-01-12 19:41:06.000,2023-04-11 19:24:43.000000,2023-04-11 19:24:38,24.0,,57.0,17.0,7.0,,10.0,801.0,MADGRAD Optimization Method.,2.0,16,False,,,4.0,madgrad,,,['pytorch'],,3333.0,88.0,87.0,https://pypi.org/project/madgrad,2022-03-08 18:23:32.000,1.0,3333.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +846,FlashTorch,MisaOgura/flashtorch,interpretability,,https://github.com/MisaOgura/flashtorch,https://github.com/MisaOgura/flashtorch,MIT,2019-03-22 13:00:57.000,2023-09-21 07:22:50.000000,2023-09-21 07:22:50,127.0,,85.0,16.0,15.0,10.0,22.0,727.0,Visualization toolkit for neural networks in PyTorch! Demo --.,2.0,16,False,2020-05-29 14:39:38.000,0.1.3,12.0,flashtorch,,,['pytorch'],,281.0,22.0,22.0,https://pypi.org/project/flashtorch,2020-05-29 14:38:32.000,,281.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +847,TensorFrames,databricks/tensorframes,distributed-ml,,https://github.com/databricks/tensorframes,https://github.com/databricks/tensorframes,Apache-2.0,2016-03-04 19:25:19.000,2018-12-28 23:37:03.000000,,,,150.0,,,51.0,,718.0,Tensorflow wrapper for DataFrames on Apache Spark.,9.0,16,False,2018-05-16 14:20:28.000,0.2.9,2.0,tensorframes,,,"['tensorflow', 'spark']",,10383.0,1.0,,https://pypi.org/project/tensorframes,2018-05-16 14:20:28.000,1.0,10383.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +848,cuSignal,rapidsai/cusignal,gpu-utilities,,https://github.com/rapidsai/cusignal,https://github.com/rapidsai/cusignal,Apache-2.0,2019-08-22 14:27:27.000,2023-09-21 18:53:21.000000,2023-09-21 18:53:18,1296.0,,127.0,42.0,435.0,25.0,130.0,712.0,GPU accelerated signal processing.,46.0,16,False,2023-08-09 16:45:21.000,23.08.00,21.0,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +849,SpeedTorch,Santosh-Gupta/SpeedTorch,gpu-utilities,,https://github.com/Santosh-Gupta/SpeedTorch,https://github.com/Santosh-Gupta/SpeedTorch,MIT,2019-09-07 18:57:52.000,2020-02-21 23:13:29.000000,2020-02-21 23:13:28,170.0,,38.0,24.0,4.0,4.0,2.0,682.0,Library for faster pinned CPU - GPU transfer in Pytorch.,3.0,16,False,2020-01-06 05:27:17.000,0.1.6,14.0,SpeedTorch,,,['pytorch'],,392.0,8.0,6.0,https://pypi.org/project/SpeedTorch,2020-01-06 05:27:17.000,2.0,392.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +850,textflint,textflint/textflint,adversarial,,https://github.com/textflint/textflint,https://github.com/textflint/textflint,GPL-3.0,2021-03-06 11:15:52.000,2022-09-27 17:09:16.000000,2022-06-21 04:27:47,257.0,,93.0,18.0,19.0,4.0,29.0,639.0,Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing.,18.0,16,False,2022-03-15 07:18:47.000,0.1.0,6.0,textflint,,,,,133.0,17.0,17.0,https://pypi.org/project/textflint,2022-03-15 07:18:47.000,,133.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +851,KD-Lib,SforAiDl/KD_Lib,others,,https://github.com/SforAiDl/KD_Lib,https://github.com/SforAiDl/KD_Lib,MIT,2020-05-10 13:08:42.000,2023-03-01 21:06:37.000000,2023-03-01 21:03:09,298.0,,56.0,16.0,83.0,18.0,49.0,599.0,A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge..,6.0,16,False,2022-05-18 08:35:04.000,0.0.32,8.0,KD-Lib,,,['pytorch'],,184.0,,,https://pypi.org/project/KD-Lib,2022-05-18 08:35:04.000,,184.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +852,NeuralCompression,facebookresearch/NeuralCompression,others,,https://github.com/facebookresearch/NeuralCompression,https://github.com/facebookresearch/NeuralCompression,MIT,2021-07-09 15:14:13.000,2024-09-20 14:21:23.000000,2024-09-20 14:21:18,142.0,2.0,43.0,21.0,171.0,6.0,65.0,499.0,A collection of tools for neural compression enthusiasts.,10.0,16,True,2023-10-03 14:26:28.000,0.3.1,6.0,neuralcompression,,,,,192.0,,,https://pypi.org/project/neuralcompression,2023-10-03 14:26:28.000,,192.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +853,caliban,google/caliban,ml-experiments,,https://github.com/google/caliban,https://github.com/google/caliban,Apache-2.0,2020-06-02 18:12:50.000,2024-06-06 22:38:20.000000,2024-01-25 16:57:26,261.0,,66.0,19.0,101.0,19.0,15.0,492.0,"Research workflows made easy, locally and in the Cloud.",10.0,16,True,2023-06-16 17:26:21.434,0.4.2,11.0,caliban,,,,,327.0,3.0,3.0,https://pypi.org/project/caliban,2020-09-12 19:41:23.000,,327.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +854,Pywick,achaiah/pywick,pytorch-utils,,https://github.com/achaiah/pywick,https://github.com/achaiah/pywick,MIT,2019-03-25 15:42:47.000,2022-02-04 15:57:11.000000,2021-10-22 03:09:17,149.0,,37.0,15.0,39.0,2.0,13.0,397.0,High-level batteries-included neural network training library for Pytorch.,4.0,16,False,2021-10-22 03:19:11.000,0.6.5,8.0,pywick,,,['pytorch'],,123.0,11.0,11.0,https://pypi.org/project/pywick,2021-10-22 03:19:11.000,,123.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +855,pdvega,altair-viz/pdvega,data-viz,,https://github.com/altair-viz/pdvega,https://github.com/altair-viz/pdvega,MIT,2018-01-11 21:30:27.000,2019-03-29 16:09:14.000000,2019-03-29 16:09:13,177.0,,32.0,23.0,21.0,17.0,10.0,344.0,Interactive plotting for Pandas using Vega-Lite.,9.0,16,False,,,1.0,pdvega,,,,,43.0,88.0,88.0,https://pypi.org/project/pdvega,2018-02-01 04:56:43.000,,43.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +856,pandas-ml,pandas-ml/pandas-ml,others,,https://github.com/pandas-ml/pandas-ml,https://github.com/pandas-ml/pandas-ml,BSD-3-Clause,2015-02-21 03:14:04.000,2020-08-14 12:29:33.000000,2019-03-05 01:36:55,153.0,,79.0,18.0,93.0,30.0,18.0,317.0,"pandas, scikit-learn, xgboost and seaborn integration.",4.0,16,False,2019-03-05 01:36:12.000,0.6.1,9.0,pandas-ml,,,"['sklearn', 'pandas']",12.0,2653.0,2.0,,https://pypi.org/project/pandas-ml,2019-03-05 01:35:23.000,2.0,2653.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +857,nanodl,HMUNACHI/nanodl,ml-frameworks,,https://github.com/HMUNACHI/nanodl,https://github.com/HMUNACHI/nanodl,MIT,2023-08-22 13:22:24.000,2024-08-28 21:24:22.000000,2024-08-28 21:24:19,158.0,3.0,11.0,9.0,15.0,2.0,7.0,272.0,A Jax-based library for designing and training transformer models from scratch.,3.0,16,False,2024-08-28 20:41:08.000,0.0.0,8.0,nanodl,,,['jax'],,223.0,1.0,1.0,https://pypi.org/project/nanodl,2024-08-28 20:41:08.000,,223.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +858,ipyexperiments,stas00/ipyexperiments,gpu-utilities,,https://github.com/stas00/ipyexperiments,https://github.com/stas00/ipyexperiments,Apache-2.0,2018-11-15 01:19:40.000,2023-12-15 03:22:24.000000,2023-12-15 03:22:22,207.0,,13.0,9.0,2.0,,5.0,201.0,"Automatic GPU+CPU memory profiling, re-use and memory leaks detection using jupyter/ipython experiment containers.",3.0,16,False,2023-12-15 03:21:06.000,0.1.29,25.0,ipyexperiments,,,['jupyter'],,410.0,11.0,9.0,https://pypi.org/project/ipyexperiments,2023-12-15 03:21:06.000,2.0,410.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +859,HugsVision,qanastek/HugsVision,image,,https://github.com/qanastek/HugsVision,https://github.com/qanastek/HugsVision,MIT,2021-08-12 21:46:08.000,2023-08-13 00:37:26.000000,2023-01-22 01:25:39,75.0,,19.0,5.0,2.0,17.0,23.0,194.0,HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision.,2.0,16,False,2023-01-22 01:21:35.467,0.75.5,78.0,hugsvision,,,['huggingface'],,1502.0,13.0,13.0,https://pypi.org/project/hugsvision,2023-01-22 01:21:35.467,,1502.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +860,CometML,comet-ml/examples,ml-experiments,,,https://www.comet.com,MIT,,2024-09-26 18:33:56.000000,,,,,,,,,,Supercharging Machine Learning.,,16,True,2024-09-19 11:41:36.000,3.46.0,298.0,comet_ml,comet_ml,,,,602548.0,77.0,,https://pypi.org/project/comet_ml,2024-09-26 18:33:56.000,77.0,602548.0,https://anaconda.org/anaconda/comet_ml,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +861,GraphSAGE,williamleif/GraphSAGE,graph,,https://github.com/williamleif/GraphSAGE,https://github.com/williamleif/GraphSAGE,MIT,2017-05-29 15:36:22.000,2024-08-04 16:33:52.000000,2018-09-19 19:27:00,59.0,,843.0,77.0,35.0,120.0,59.0,3408.0,Representation learning on large graphs using stochastic graph convolutions.,9.0,15,False,,,,,,,['tensorflow'],,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +862,ZhuSuan,thu-ml/zhusuan,probabilistics,,https://github.com/thu-ml/zhusuan,https://github.com/thu-ml/zhusuan,MIT,2016-07-18 13:31:38.000,2022-12-17 20:33:19.000000,2019-08-05 10:00:04,439.0,,420.0,142.0,72.0,12.0,53.0,2201.0,"A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow.",20.0,15,False,,,,,,,['tensorflow'],,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +863,BLINK,facebookresearch/BLINK,nlp,,https://github.com/facebookresearch/BLINK,https://github.com/facebookresearch/BLINK,MIT,2019-09-25 21:27:44.000,2023-09-21 16:18:30.000000,2021-04-02 03:03:34,211.0,,232.0,39.0,40.0,73.0,34.0,1164.0,Entity Linker solution.,16.0,15,False,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +864,Anchor,marcotcr/anchor,interpretability,,https://github.com/marcotcr/anchor,https://github.com/marcotcr/anchor,BSD-2-Clause,2018-02-02 23:38:50.000,2022-07-19 18:09:12.000000,2022-07-19 18:08:39,47.0,,112.0,28.0,10.0,25.0,51.0,795.0,Code for High-Precision Model-Agnostic Explanations paper.,10.0,15,False,,,10.0,anchor_exp,,,,,1095.0,2.0,,https://pypi.org/project/anchor_exp,2020-09-10 22:52:00.000,2.0,1095.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +865,atspy,firmai/atspy,time-series-data,,https://github.com/firmai/atspy,https://github.com/firmai/atspy,MIT,2020-01-28 05:00:10.000,2022-11-21 21:55:23.000000,2021-12-18 09:26:18,99.0,,88.0,21.0,18.0,22.0,2.0,512.0,AtsPy: Automated Time Series Models in Python (by @firmai).,5.0,15,False,2020-11-12 16:10:48.000,zen,39.0,atspy,,,,,920.0,12.0,12.0,https://pypi.org/project/atspy,2020-04-24 18:16:15.000,,920.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +866,VizSeq,facebookresearch/vizseq,nlp,,https://github.com/facebookresearch/vizseq,https://github.com/facebookresearch/vizseq,MIT,2019-08-26 13:19:38.000,2024-09-28 19:50:20.000000,2024-09-28 19:49:30,81.0,1.0,61.0,16.0,67.0,7.0,9.0,441.0,"An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.).",4.0,15,True,2020-08-07 01:13:52.000,0.1.15,16.0,vizseq,,,,,142.0,11.0,11.0,https://pypi.org/project/vizseq,2020-08-07 01:13:52.000,,142.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +867,interpret-text,interpretml/interpret-text,interpretability,,https://github.com/interpretml/interpret-text,https://github.com/interpretml/interpret-text,MIT,2019-09-04 16:39:48.000,2024-02-05 16:37:11.000000,2024-02-05 16:37:10,152.0,,68.0,19.0,177.0,87.0,16.0,413.0,A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the..,18.0,15,True,2021-12-07 15:12:02.000,0.1.3,5.0,interpret-text,,,['jupyter'],,225.0,,,https://pypi.org/project/interpret-text,2021-12-07 01:57:31.000,,225.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +868,ExplainX.ai,explainX/explainx,interpretability,,https://github.com/explainX/explainx,https://github.com/explainX/explainx,MIT,2020-06-16 14:27:15.000,2024-08-21 16:55:05.000000,2024-08-21 16:55:05,192.0,1.0,52.0,10.0,17.0,10.0,29.0,410.0,Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line..,5.0,15,True,2021-02-07 11:06:21.000,2.407,56.0,explainx,,,,18.0,1050.0,,,https://pypi.org/project/explainx,2021-02-04 16:44:24.000,,1050.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +869,Adversary,airbnb/artificial-adversary,adversarial,,https://github.com/airbnb/artificial-adversary,https://github.com/airbnb/artificial-adversary,MIT,2018-08-08 04:42:11.000,2023-06-16 19:21:01.312000,2018-08-29 15:31:30,15.0,,55.0,18.0,6.0,6.0,,395.0,Tool to generate adversarial text examples and test machine learning models against them.,5.0,15,False,2018-08-29 15:14:41.000,1.1.1,3.0,Adversary,conda-forge/artificial-adversary,,,,290.0,11.0,10.0,https://pypi.org/project/Adversary,2018-08-29 15:14:41.000,1.0,153.0,https://anaconda.org/conda-forge/artificial-adversary,2023-06-16 19:21:01.312,7003.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +870,ptgnn,microsoft/ptgnn,graph,,https://github.com/microsoft/ptgnn,https://github.com/microsoft/ptgnn,MIT,2020-05-12 08:42:30.000,2022-02-01 17:31:29.000000,2022-02-01 17:31:29,99.0,,40.0,12.0,17.0,2.0,5.0,372.0,A PyTorch Graph Neural Network Library.,8.0,15,False,2021-10-21 21:43:04.000,0.10.4,18.0,ptgnn,,,['pytorch'],,280.0,4.0,4.0,https://pypi.org/project/ptgnn,2021-10-21 21:43:04.000,,280.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +871,data-describe,data-describe/data-describe,data-viz,,https://github.com/data-describe/data-describe,https://github.com/data-describe/data-describe,Apache-2.0,2020-05-04 17:58:14.000,2023-02-22 05:20:46.000000,2021-11-19 06:05:15,700.0,,18.0,13.0,271.0,64.0,181.0,295.0,datadescribe: Pythonic EDA Accelerator for Data Science.,13.0,15,False,,,5.0,data-describe,,,,,473.0,,,https://pypi.org/project/data-describe,2020-12-03 23:07:43.000,,473.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +872,ONNX-T5,abelriboulot/onnxt5,nlp,,https://github.com/abelriboulot/onnxt5,https://github.com/abelriboulot/onnxt5,Apache-2.0,2020-08-01 09:38:35.000,2022-11-02 18:43:57.000000,2021-01-28 09:24:52,74.0,,29.0,8.0,6.0,8.0,8.0,252.0,"Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version..",4.0,15,False,2021-01-28 09:26:15.000,0.1.8,11.0,onnxt5,,,,,178.0,3.0,3.0,https://pypi.org/project/onnxt5,2021-01-28 09:26:15.000,,178.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +873,backprop,backprop-ai/backprop,model-serialisation,,https://github.com/backprop-ai/backprop,https://github.com/backprop-ai/backprop,Apache-2.0,2020-10-30 15:25:14.000,2024-07-31 15:16:51.000000,2021-05-03 09:15:21,219.0,,12.0,16.0,14.0,5.0,4.0,242.0,"Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.",8.0,15,False,2021-04-20 13:53:12.000,0.1.2,16.0,backprop,,,,,570.0,3.0,3.0,https://pypi.org/project/backprop,2024-07-31 15:16:51.000,,570.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +874,NeuralQA,victordibia/neuralqa,nlp,,https://github.com/victordibia/neuralqa,https://github.com/victordibia/neuralqa,MIT,2020-05-19 03:55:56.000,2023-06-07 20:12:03.000000,2020-12-16 17:41:37,312.0,,32.0,8.0,72.0,31.0,8.0,231.0,NeuralQA: A Usable Library for Question Answering on Large Datasets with BERT.,3.0,15,False,,,27.0,neuralqa,,,,,302.0,5.0,5.0,https://pypi.org/project/neuralqa,2020-09-18 17:54:50.000,,302.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +875,Headliner,as-ideas/headliner,nlp,,https://github.com/as-ideas/headliner,https://github.com/as-ideas/headliner,MIT,2019-09-30 11:33:28.000,2021-03-26 07:19:57.000000,2020-02-14 09:03:27,276.0,,41.0,16.0,7.0,2.0,13.0,229.0,Easy training and deployment of seq2seq models.,2.0,15,False,2020-01-24 09:06:29.000,1.0.2,30.0,headliner,,,,,735.0,7.0,6.0,https://pypi.org/project/headliner,2020-01-24 09:06:29.000,1.0,735.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +876,nx-altair,Zsailer/nx_altair,data-viz,,https://github.com/Zsailer/nx_altair,https://github.com/Zsailer/nx_altair,MIT,2018-05-13 00:10:12.000,2023-09-27 23:13:07.000000,2020-06-02 21:10:26,51.0,,27.0,10.0,15.0,9.0,4.0,223.0,Draw interactive NetworkX graphs with Altair.,3.0,15,False,2020-06-02 21:11:12.000,0.1.6,8.0,nx-altair,,,['jupyter'],,436.0,9.0,,https://pypi.org/project/nx-altair,2020-06-02 21:11:12.000,9.0,436.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +877,Parfit,jmcarpenter2/parfit,hyperopt,,https://github.com/jmcarpenter2/parfit,https://github.com/jmcarpenter2/parfit,MIT,2017-11-22 20:17:51.000,2024-02-13 04:16:38.000000,2020-04-04 19:26:37,127.0,,28.0,5.0,5.0,6.0,5.0,198.0,"A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization..",4.0,15,False,,,23.0,parfit,,,['sklearn'],,720.0,28.0,28.0,https://pypi.org/project/parfit,2018-10-11 22:03:16.000,,720.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +878,GraphEmbedding,shenweichen/GraphEmbedding,graph,,https://github.com/shenweichen/GraphEmbedding,https://github.com/shenweichen/GraphEmbedding,MIT,2019-02-11 16:27:20.000,2024-03-14 09:28:18.000000,2022-06-21 18:24:09,30.0,,995.0,64.0,13.0,44.0,25.0,3682.0,Implementation and experiments of graph embedding algorithms.,9.0,14,False,,,,,,,['sklearn'],,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +879,OpenNE,thunlp/OpenNE,graph,,https://github.com/thunlp/OpenNE,https://github.com/thunlp/OpenNE,MIT,2017-10-08 04:58:20.000,2024-01-10 11:53:25.000000,2024-01-10 11:53:25,104.0,,488.0,67.0,26.0,10.0,97.0,1683.0,An Open-Source Package for Network Embedding (NE).,12.0,14,True,,,,,,,['tensorflow'],,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +880,Medical Detection Toolkit,MIC-DKFZ/medicaldetectiontoolkit,medical-data,,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,Apache-2.0,2018-10-12 12:34:57.000,2024-06-17 22:47:46.000000,2022-04-04 08:29:54,41.0,,294.0,53.0,23.0,42.0,85.0,1299.0,"The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN,..",3.0,14,False,,,,,,,['pytorch'],,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +881,GraphVite,DeepGraphLearning/graphvite,graph,,https://github.com/DeepGraphLearning/graphvite,https://github.com/DeepGraphLearning/graphvite,Apache-2.0,2019-07-16 15:48:20.000,2024-06-14 21:18:09.000000,2024-06-14 21:18:09,16.0,,150.0,32.0,,53.0,60.0,1220.0,GraphVite: A General and High-performance Graph Embedding System.,1.0,14,True,,,4.0,,milagraph/graphvite,,,,77.0,,,,,,,https://anaconda.org/milagraph/graphvite,2023-06-16 16:16:18.265,4828.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +882,Skater,oracle/Skater,interpretability,,https://github.com/oracle/Skater,https://github.com/oracle/Skater,UPL-1.0,2017-01-26 05:45:42.000,2023-09-18 15:13:22.392000,,,,182.0,,,72.0,,1067.0,Python Library for Model Interpretation/Explanations.,7.0,14,False,2018-09-21 07:03:32.000,1.1.2,23.0,skater,conda-forge/skater,,,,2164.0,1.0,,https://pypi.org/project/skater,2018-09-21 07:03:32.000,1.0,632.0,https://anaconda.org/conda-forge/skater,2023-09-18 15:13:22.392,78152.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +883,rliable,google-research/rliable,reinforcement-learning,,https://github.com/google-research/rliable,https://github.com/google-research/rliable,Apache-2.0,2021-08-20 00:41:06.000,2024-08-12 20:48:27.000000,2024-08-12 20:48:27,72.0,4.0,46.0,11.0,11.0,1.0,16.0,753.0,"[NeurIPS21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of..",9.0,14,True,,,,rliable`,,,,,,150.0,150.0,https://pypi.org/project/rliable`,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +884,tsaug,arundo/tsaug,time-series-data,,https://github.com/arundo/tsaug,https://github.com/arundo/tsaug,Apache-2.0,2019-09-27 00:38:05.000,2023-01-11 11:16:16.000000,2020-04-17 02:46:38,10.0,,37.0,11.0,8.0,10.0,3.0,346.0,A Python package for time series augmentation.,4.0,14,False,2020-04-17 02:50:25.000,0.2.1,4.0,tsaug,,,,,1420.0,2.0,,https://pypi.org/project/tsaug,2020-04-17 02:50:25.000,2.0,1420.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +885,TorchDrift,torchdrift/torchdrift,pytorch-utils,,https://github.com/TorchDrift/TorchDrift,https://github.com/TorchDrift/TorchDrift,Apache-2.0,2021-02-10 09:27:48.000,2022-08-26 08:15:45.000000,2022-08-26 08:15:45,38.0,,15.0,11.0,6.0,9.0,6.0,311.0,Drift Detection for your PyTorch Models.,4.0,14,False,2021-03-08 12:21:48.000,0.1.0,3.0,torchdrift,,,['pytorch'],,148.0,27.0,27.0,https://pypi.org/project/torchdrift,2021-03-08 12:51:05.000,,148.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +886,TransferNLP,feedly/transfer-nlp,nlp,,https://github.com/feedly/transfer-nlp,https://github.com/feedly/transfer-nlp,MIT,2019-03-12 20:00:31.000,2024-07-25 10:16:22.000000,2020-05-28 17:31:53,465.0,,17.0,11.0,58.0,3.0,20.0,291.0,NLP library designed for reproducible experimentation management.,7.0,14,False,2020-05-28 19:00:02.000,0.1.6,8.0,transfer-nlp,,,['pytorch'],,173.0,,,https://pypi.org/project/transfer-nlp,2020-05-28 19:00:02.000,,173.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +887,OpenKE,thunlp/OpenKE,graph,,https://github.com/thunlp/OpenKE,https://github.com/thunlp/OpenKE,,2017-10-08 11:20:23.000,2024-01-10 11:51:05.000000,2024-01-10 11:51:05,143.0,,984.0,103.0,28.0,28.0,357.0,3813.0,An Open-Source Package for Knowledge Embedding (KE).,14.0,13,False,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +888,ENAS,carpedm20/ENAS-pytorch,hyperopt,,https://github.com/carpedm20/ENAS-pytorch,https://github.com/carpedm20/ENAS-pytorch,Apache-2.0,2018-02-15 04:54:37.000,2023-07-06 21:33:33.000000,2020-06-16 07:23:32,53.0,,485.0,108.0,12.0,39.0,8.0,2696.0,PyTorch implementation of Efficient Neural Architecture Search via Parameters Sharing.,6.0,13,False,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +889,ml-ane-transformers,apple/ml-ane-transformers,model-serialisation,,https://github.com/apple/ml-ane-transformers,https://github.com/apple/ml-ane-transformers,,2022-06-03 16:36:06.000,2023-04-25 09:24:38.000000,2022-08-09 04:03:14,5.0,,86.0,47.0,4.0,3.0,,2536.0,Reference implementation of the Transformer architecture optimized for Apple Neural Engine (ANE).,1.0,13,False,2022-08-09 04:22:55.000,0.1.3,4.0,ane-transformers,,,['pytorch'],75.0,1331.0,1.0,,https://pypi.org/project/ane-transformers,2022-08-09 04:22:00.465,1.0,1329.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +890,traingenerator,jrieke/traingenerator,others,,https://github.com/jrieke/traingenerator,https://github.com/jrieke/traingenerator,MIT,2020-12-03 16:47:16.000,2023-08-23 08:35:09.000000,2022-06-30 14:05:23,118.0,,175.0,37.0,10.0,13.0,3.0,1364.0,A web app to generate template code for machine learning.,3.0,13,False,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +891,deltapy,firmai/deltapy,tabular,,https://github.com/firmai/deltapy,https://github.com/firmai/deltapy,MIT,2020-04-08 05:27:53.000,2023-09-19 11:11:53.000000,2022-03-01 16:13:48,42.0,,53.0,17.0,3.0,2.0,1.0,535.0,DeltaPy - Tabular Data Augmentation (by @firmai).,4.0,13,False,2020-11-12 16:13:21.000,zen,11.0,deltapy,,,,,274.0,4.0,4.0,https://pypi.org/project/deltapy,2020-04-09 01:48:32.000,,274.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +892,Maze,enlite-ai/maze,reinforcement-learning,,https://github.com/enlite-ai/maze,https://github.com/enlite-ai/maze,Custom,2021-02-11 08:26:37.000,2024-09-24 14:15:45.000000,2022-11-21 12:12:41,1044.0,,12.0,6.0,26.0,1.0,2.0,265.0,Maze Applied Reinforcement Learning Framework.,3.0,13,False,2022-11-21 12:23:00.858,0.2.0,21.0,maze-rl,,,['pytorch'],10.0,263.0,,,https://pypi.org/project/maze-rl,2021-12-13 16:04:42.000,,258.0,,,,3.0,enliteai/maze,https://hub.docker.com/r/enliteai/maze,2021-06-24 21:00:27.801118,,256.0,,,,,,,,,,,,,,,,,,,, +893,Auptimizer,LGE-ARC-AdvancedAI/auptimizer,hyperopt,,https://github.com/LGE-ARC-AdvancedAI/auptimizer,https://github.com/LGE-ARC-AdvancedAI/auptimizer,GPL-3.0,2019-09-12 01:08:37.000,2023-01-27 02:15:43.000000,2021-03-03 01:30:06,79.0,,27.0,21.0,44.0,1.0,5.0,200.0,An automatic ML model optimization tool.,11.0,13,False,2021-03-03 02:00:23.000,2.0,7.0,auptimizer,,,,,442.0,,,https://pypi.org/project/auptimizer,2021-03-02 02:40:32.000,,442.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +894,textvec,textvec/textvec,nlp,,https://github.com/textvec/textvec,https://github.com/textvec/textvec,MIT,2018-04-12 14:03:53.000,2024-06-17 22:44:04.000000,2024-01-09 14:26:42,74.0,,26.0,8.0,17.0,4.0,6.0,193.0,Text vectorization tool to outperform TFIDF for classification tasks.,11.0,13,False,2019-09-12 07:41:04.000,2.0,4.0,textvec,,,['sklearn'],,59.0,5.0,5.0,https://pypi.org/project/textvec,2020-12-03 14:17:09.000,,59.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +895,ModelChimp,ModelChimp/modelchimp,ml-experiments,,https://github.com/ModelChimp/modelchimp,https://github.com/ModelChimp/modelchimp,BSD-2-Clause,2018-11-05 08:39:03.000,2023-11-14 18:32:58.000000,2021-08-01 07:11:57,363.0,,12.0,5.0,1238.0,4.0,10.0,126.0,Experiment tracking for machine and deep learning projects.,3.0,13,False,2019-04-09 10:43:15.000,0.4.0,37.0,modelchimp,,,,,524.0,,,https://pypi.org/project/modelchimp,2019-04-09 10:41:20.000,,515.0,,,,3.0,modelchimp/modelchimp-server,https://hub.docker.com/r/modelchimp/modelchimp-server,2019-04-09 10:15:09.532793,,667.0,,,,,,,,,,,,,,,,,,,, +896,DeepNeuro,QTIM-Lab/DeepNeuro,medical-data,,https://github.com/QTIM-Lab/DeepNeuro,https://github.com/QTIM-Lab/DeepNeuro,MIT,2017-06-01 19:36:34.000,2020-06-24 13:00:15.000000,2020-06-24 13:00:14,285.0,,35.0,14.0,18.0,27.0,18.0,123.0,A deep learning python package for neuroimaging data. Made by:.,6.0,13,False,2019-06-10 21:04:04.000,0.2.3,6.0,deepneuro,,,,,109.0,2.0,2.0,https://pypi.org/project/deepneuro,2019-06-10 21:04:04.000,,109.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +897,Attribution Priors,suinleelab/attributionpriors,interpretability,,https://github.com/suinleelab/attributionpriors,https://github.com/suinleelab/attributionpriors,MIT,2019-06-24 23:54:24.000,2021-03-19 19:43:58.000000,2021-03-19 19:43:51,72.0,,9.0,6.0,,2.0,4.0,122.0,Tools for training explainable models using attribution priors.,6.0,13,False,2021-03-16 17:47:18.000,1.0.0,4.0,attributionpriors,,,"['tensorflow', 'pytorch']",,179.0,5.0,5.0,https://pypi.org/project/attributionpriors,2019-10-31 18:03:05.000,,179.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +898,jaxdf,ucl-bug/jaxdf,jax-utils,,https://github.com/ucl-bug/jaxdf,https://github.com/ucl-bug/jaxdf,LGPL-3.0,2021-09-08 16:38:46.000,2024-09-17 10:38:04.000000,2024-09-17 10:34:46,319.0,5.0,7.0,7.0,127.0,9.0,9.0,119.0,A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations.,4.0,13,False,2024-09-17 10:36:38.000,0.2.8,10.0,,,,['jax'],,,5.0,5.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +899,LazyCluster,ml-tooling/lazycluster,distributed-ml,,https://github.com/ml-tooling/lazycluster,https://github.com/ml-tooling/lazycluster,Apache-2.0,2019-08-07 08:05:13.000,2023-02-16 02:23:02.000000,2021-08-19 13:59:11,444.0,,11.0,7.0,20.0,3.0,,49.0,Distributed machine learning made simple.,2.0,13,False,2020-12-14 15:25:59.000,0.2.4,5.0,lazycluster,,,,,138.0,41.0,41.0,https://pypi.org/project/lazycluster,2020-12-14 14:49:33.000,,138.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +900,nptsne,biovault/nptsne,data-viz,,https://github.com/biovault/nptsne,https://github.com/biovault/nptsne,Apache-2.0,2019-06-28 08:40:25.000,2023-07-14 11:30:56.000000,2021-02-03 08:52:27,857.0,,2.0,3.0,3.0,7.0,6.0,32.0,nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation.,3.0,13,False,2021-12-23 15:53:08.000,1.2.0,3.0,nptsne,,,,,178.0,7.0,7.0,https://pypi.org/project/nptsne,2021-12-23 15:53:08.000,,178.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +901,MedicalNet,Tencent/MedicalNet,medical-data,,https://github.com/Tencent/MedicalNet,https://github.com/Tencent/MedicalNet,MIT,2019-07-17 09:53:10.000,2023-07-06 21:26:54.000000,2020-08-27 13:37:26,26.0,,407.0,63.0,6.0,64.0,17.0,1920.0,Many studies have shown that the performance on deep learning is significantly affected by volume of training data...,1.0,12,False,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +902,surpriver,tradytics/surpriver,financial-data,,https://github.com/tradytics/surpriver,https://github.com/tradytics/surpriver,GPL-3.0,2020-08-30 07:56:22.000,2021-08-13 08:02:31.000000,2020-09-21 04:32:05,64.0,,323.0,88.0,11.0,12.0,6.0,1757.0,Find big moving stocks before they move using machine learning and anomaly detection.,6.0,12,False,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +903,Hypermax,electricbrainio/hypermax,hyperopt,,https://github.com/genixpro/hypermax,https://github.com/genixpro/hypermax,BSD-3-Clause,2018-07-27 18:43:01.000,2024-01-03 19:06:45.000000,2024-01-03 19:06:45,209.0,,13.0,12.0,5.0,3.0,2.0,111.0,"Better, faster hyper-parameter optimization.",8.0,12,False,2019-10-23 15:40:12.000,0.5.1,11.0,hypermax,,,,,138.0,5.0,5.0,https://pypi.org/project/hypermax,2019-10-23 15:40:12.000,,138.0,,,,3.0,,,,,,,,genixpro/hypermax,,,,,,,,,,,,,,,,, +904,spacy-dbpedia-spotlight,MartinoMensio/spacy-dbpedia-spotlight,nlp,,https://github.com/MartinoMensio/spacy-dbpedia-spotlight,https://github.com/MartinoMensio/spacy-dbpedia-spotlight,MIT,2020-04-29 19:35:04.000,2023-03-24 11:33:01.000000,2023-03-24 11:32:56,55.0,,11.0,8.0,4.0,6.0,14.0,103.0,A spaCy wrapper for DBpedia Spotlight.,5.0,12,False,2023-03-08 10:33:19.000,0.2.6,11.0,spacy-dbpedia-spotlight,,,['spacy'],,643.0,,,https://pypi.org/project/spacy-dbpedia-spotlight,2022-10-07 09:58:11.751,,643.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +905,contextual-ai,SAP/contextual-ai,interpretability,,https://github.com/SAP-archive/contextual-ai,https://github.com/SAP-archive/contextual-ai,Apache-2.0,2020-05-12 07:15:56.000,2023-07-23 16:23:34.000000,2021-11-11 10:53:33,630.0,,12.0,13.0,26.0,4.0,13.0,86.0,"Contextual AI adds explainability to different stages of machine learning pipelines - data, training, and inference -..",12.0,12,False,2021-01-25 04:56:57.000,0.0.2,2.0,contextual-ai,,,,,95.0,,,https://pypi.org/project/contextual-ai,2021-01-25 04:56:57.000,,95.0,,,,3.0,,,,,,,,SAP-archive/contextual-ai,,,,,,,,,,,,,,,,, +906,nylon,Palashio/nylon,others,,https://github.com/Palashio/nylon,https://github.com/Palashio/nylon,MIT,2021-06-04 17:33:49.000,2021-07-29 20:34:04.000000,2021-07-23 19:37:10,185.0,,8.0,7.0,4.0,14.0,18.0,83.0,"An intelligent, flexible grammar of machine learning.",3.0,12,False,2021-06-25 14:27:32.000,0.0.7,8.0,nylon-ai,,,,,121.0,2.0,2.0,https://pypi.org/project/nylon-ai,2021-06-25 14:27:32.000,,121.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +907,bias-detector,intuit/bias-detector,interpretability,,https://github.com/intuit/bias-detector,https://github.com/intuit/bias-detector,MIT,2021-02-02 16:58:52.000,2024-02-04 11:31:27.000000,2024-02-04 11:28:34,124.0,,12.0,12.0,17.0,,,44.0,Bias Detector is a python package for detecting bias in machine learning models.,4.0,12,False,2024-02-04 11:31:27.000,0.0.13,12.0,bias-detector,,,,,456.0,2.0,2.0,https://pypi.org/project/bias-detector,2024-02-04 11:31:27.000,,456.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +908,model_search,google/model_search,hyperopt,,https://github.com/google/model_search,https://github.com/google/model_search,Apache-2.0,2021-01-19 18:26:34.000,2024-07-30 21:36:15.000000,2022-02-09 22:20:11,9.0,,460.0,93.0,22.0,52.0,15.0,3265.0,AutoML algorithms for model architecture search at scale.,1.0,11,False,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +909,Devol,joeddav/devol,hyperopt,,https://github.com/joeddav/devol,https://github.com/joeddav/devol,MIT,2017-02-10 03:07:54.000,2023-05-25 14:45:47.000000,2020-07-05 21:56:58,116.0,,116.0,44.0,13.0,7.0,20.0,949.0,Genetic neural architecture search with Keras.,18.0,11,False,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +910,PySparNN,facebookresearch/pysparnn,nn-search,,https://github.com/facebookresearch/pysparnn,https://github.com/facebookresearch/pysparnn,BSD-3-Clause,2016-03-28 20:43:42.000,2020-10-02 06:01:01.000000,2018-01-31 16:50:23,147.0,,146.0,39.0,7.0,19.0,14.0,916.0,Approximate Nearest Neighbor Search for Sparse Data in Python!.,5.0,11,False,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +911,moolib,facebookresearch/moolib,distributed-ml,,https://github.com/facebookresearch/moolib,https://github.com/facebookresearch/moolib,MIT,2021-08-26 09:15:58.000,2022-12-12 15:07:44.000000,2022-12-12 15:07:38,41.0,,21.0,12.0,41.0,7.0,12.0,366.0,A library for distributed ML training with PyTorch.,6.0,11,False,2022-02-10 16:56:22.000,0.0.9c,1.0,,,,['pytorch'],,,4.0,4.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +912,autodist,petuum/autodist,distributed-ml,,https://github.com/petuum/autodist,https://github.com/petuum/autodist,Apache-2.0,2020-06-29 19:45:38.000,2022-09-23 22:45:06.000000,2021-01-28 00:04:40,208.0,,25.0,16.0,51.0,11.0,1.0,134.0,Simple Distributed Deep Learning on TensorFlow.,11.0,11,False,,,2.0,autodist,,,['tensorflow'],,105.0,2.0,2.0,https://pypi.org/project/autodist,2020-07-16 05:36:19.000,,105.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +913,Mozart,aashrafh/Mozart,ocr,,https://github.com/aashrafh/Mozart,https://github.com/aashrafh/Mozart,Apache-2.0,2020-12-14 11:49:14.000,2022-08-24 18:18:43.000000,2022-08-24 18:18:43,62.0,,87.0,17.0,5.0,4.0,12.0,605.0,An optical music recognition (OMR) system. Converts sheet music to a machine-readable version.,6.0,10,False,,,,,,,['sklearn'],,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +914,textlesslib,facebookresearch/textlesslib,audio,,https://github.com/facebookresearch/textlesslib,https://github.com/facebookresearch/textlesslib,MIT,2022-02-09 16:28:00.000,2023-08-29 14:47:49.000000,2023-08-29 14:47:44,37.0,,50.0,15.0,13.0,14.0,11.0,525.0,Library for Textless Spoken Language Processing.,8.0,10,False,,,,,,,['pytorch'],,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +915,Hypertunity,gdikov/hypertunity,hyperopt,,https://github.com/gdikov/hypertunity,https://github.com/gdikov/hypertunity,Apache-2.0,2019-06-02 12:04:55.000,2020-01-26 23:14:49.000000,2020-01-26 22:53:29,64.0,,10.0,9.0,44.0,,2.0,136.0,A toolset for black-box hyperparameter optimisation.,2.0,10,False,2020-01-26 23:08:16.000,1.0.1,7.0,hypertunity,,,,,64.0,3.0,3.0,https://pypi.org/project/hypertunity,2020-01-26 23:08:16.000,,64.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +916,pyrtfolio,alvarobartt/pyrtfolio,financial-data,,https://github.com/alvarobartt/pyrtfolio,https://github.com/alvarobartt/pyrtfolio,GPL-3.0,2019-10-06 20:22:12.000,2022-05-14 21:32:20.000000,2020-11-20 09:58:41,19.0,,25.0,7.0,2.0,2.0,6.0,147.0,Python package to generate stock portfolios.,4.0,9,False,2020-03-13 20:04:08.000,0.2,3.0,pyrtfolio,,,,,27.0,1.0,1.0,https://pypi.org/project/pyrtfolio,2020-03-13 20:31:47.000,,27.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +917,traintool,jrieke/traintool,ml-experiments,,https://github.com/jrieke/traintool,https://github.com/jrieke/traintool,Apache-2.0,2020-09-30 22:23:05.000,2021-03-12 01:44:04.000000,2021-03-12 01:43:14,122.0,,1.0,4.0,,,,12.0,Train off-the-shelf machine learning models in one line of code.,,9,False,2020-11-02 02:25:32.000,0.0.3,3.0,traintool,,,"['pytorch', 'tensorflow', 'sklearn']",,35.0,1.0,1.0,https://pypi.org/project/traintool,2020-11-02 02:25:32.000,,35.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, +918,tslumen,hsbc/tslumen,time-series-data,,https://github.com/hsbc/tslumen,https://github.com/hsbc/tslumen,Apache-2.0,2022-11-09 14:06:09.000,2024-08-11 23:52:21.000000,2022-11-22 16:44:39,2.0,,7.0,7.0,2.0,1.0,,66.0,A library for Time Series EDA (exploratory data analysis).,2.0,8,False,2022-11-22 17:50:34.944,0.0.1,1.0,tslumen,conda-forge/tslumen,,,,37.0,1.0,,https://pypi.org/project/tslumen,2022-11-22 17:50:34.944,1.0,37.0,https://anaconda.org/conda-forge/tslumen,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,, diff --git a/latest-changes.md b/latest-changes.md index 13fafdb..e3a8833 100644 --- a/latest-changes.md +++ b/latest-changes.md @@ -2,29 +2,35 @@ _Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._ -- litellm (πŸ₯‡44 Β· ⭐ 12K Β· πŸ“ˆ) - Python SDK, Proxy Server (LLM Gateway) to call 100+.. MIT o t h e r s -- Catboost (πŸ₯ˆ42 Β· ⭐ 8K Β· πŸ“ˆ) - A fast, scalable, high performance Gradient Boosting on Decision.. Apache-2 -- Jina (πŸ₯ˆ40 Β· ⭐ 21K Β· πŸ“ˆ) - Build multimodal AI applications with cloud-native stack. Apache-2 -- EasyOCR (πŸ₯‡36 Β· ⭐ 24K Β· πŸ“ˆ) - Ready-to-use OCR with 80+ supported languages and all popular.. Apache-2 -- Ax (πŸ₯‡36 Β· ⭐ 2.4K Β· πŸ“ˆ) - Adaptive Experimentation Platform. MIT -- datalad (πŸ₯ˆ33 Β· ⭐ 530 Β· πŸ“ˆ) - Keep code, data, containers under control with git and git-annex. MIT -- CellProfiler (πŸ₯ˆ30 Β· ⭐ 900 Β· πŸ“ˆ) - An open-source application for biological image analysis. BSD-3 -- T5 (πŸ₯‰25 Β· ⭐ 6.1K Β· πŸ“ˆ) - Code for the paper Exploring the Limits of Transfer Learning with.. Apache-2 -- vega (πŸ₯‰24 Β· ⭐ 370 Β· πŸ“ˆ) - IPython/Jupyter notebook module for Vega and Vega-Lite. BSD-3 -- numerizer (πŸ₯‰21 Β· ⭐ 210 Β· πŸ“ˆ) - A Python module to convert natural language numerics into ints and.. MIT +- XGBoost (πŸ₯‡46 Β· ⭐ 26K Β· πŸ“ˆ) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT.. Apache-2 +- PySpark (πŸ₯‡45 Β· ⭐ 39K Β· πŸ“ˆ) - Apache Spark Python API. Apache-2 +- spaCy (πŸ₯‡45 Β· ⭐ 30K Β· πŸ“ˆ) - Industrial-strength Natural Language Processing (NLP) in Python. MIT +- Prophet (πŸ₯‡35 Β· ⭐ 18K Β· πŸ“ˆ) - Tool for producing high quality forecasts for time series data that.. MIT +- hdbscan (πŸ₯ˆ33 Β· ⭐ 2.8K Β· πŸ“ˆ) - A high performance implementation of HDBSCAN clustering. BSD-3 +- category_encoders (πŸ₯ˆ32 Β· ⭐ 2.4K Β· πŸ“ˆ) - A library of sklearn compatible categorical variable.. BSD-3 +- audiomentations (πŸ₯ˆ31 Β· ⭐ 1.8K Β· πŸ“ˆ) - A Python library for audio data augmentation. Inspired by.. MIT +- PaddleDetection (πŸ₯ˆ29 Β· ⭐ 13K Β· πŸ“ˆ) - Object Detection toolkit based on PaddlePaddle. It.. Apache-2 +- ivis (πŸ₯‰24 Β· ⭐ 330 Β· πŸ“ˆ) - Dimensionality reduction in very large datasets using Siamese.. Apache-2 +- UForm (πŸ₯‰20 Β· ⭐ 1K Β· πŸ“ˆ) - Pocket-Sized Multimodal AI for content understanding and.. Apache-2 ## πŸ“‰ Trending Down _Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._ -- speechbrain (πŸ₯‡39 Β· ⭐ 8.6K Β· πŸ“‰) - A PyTorch-based Speech Toolkit. Apache-2 -- Kornia (πŸ₯ˆ37 Β· ⭐ 9.8K Β· πŸ“‰) - Geometric Computer Vision Library for Spatial AI. Apache-2 -- PyOD (πŸ₯‡36 Β· ⭐ 8.5K Β· πŸ“‰) - A Python Library for Outlier and Anomaly Detection, Integrating.. BSD-2 -- carla (πŸ₯ˆ34 Β· ⭐ 11K Β· πŸ“‰) - Open-source simulator for autonomous driving research. MIT -- Hyperopt (πŸ₯‡33 Β· ⭐ 7.2K Β· πŸ“‰) - Distributed Asynchronous Hyperparameter Optimization in Python. BSD-3 -- Lifelines (πŸ₯ˆ32 Β· ⭐ 2.3K Β· πŸ“‰) - Survival analysis in Python. MIT -- Tesseract (πŸ₯ˆ31 Β· ⭐ 5.8K Β· πŸ“‰) - Python-tesseract is an optical character recognition (OCR).. Apache-2 -- hdbscan (πŸ₯ˆ31 Β· ⭐ 2.8K Β· πŸ“‰) - A high performance implementation of HDBSCAN clustering. BSD-3 -- pmdarima (πŸ₯ˆ31 Β· ⭐ 1.6K Β· πŸ“‰) - A statistical library designed to fill the void in Pythons time.. MIT -- Qlib (πŸ₯ˆ30 Β· ⭐ 15K Β· πŸ“‰) - Qlib is an AI-oriented quantitative investment platform that aims to.. MIT +- mlflow (πŸ₯‡43 Β· ⭐ 18K Β· πŸ“‰) - Open source platform for the machine learning lifecycle. Apache-2 +- networkx (πŸ₯‡43 Β· ⭐ 15K Β· πŸ“‰) - Network Analysis in Python. BSD-3 +- litellm (πŸ₯‡43 Β· ⭐ 13K Β· πŸ“‰) - Python SDK, Proxy Server (LLM Gateway) to call 100+.. MIT o t h e r s +- DeepChem (πŸ₯ˆ34 Β· ⭐ 5.4K Β· πŸ“‰) - Democratizing Deep-Learning for Drug Discovery, Quantum.. MIT +- dask-ml (πŸ₯‰27 Β· ⭐ 890 Β· πŸ“‰) - Scalable Machine Learning with Dask. BSD-3 +- Alibi (πŸ₯ˆ26 Β· ⭐ 2.4K Β· πŸ“‰) - Algorithms for explaining machine learning models. ❗️Intel +- Orbit (πŸ₯‰23 Β· ⭐ 1.9K Β· πŸ“‰) - A Python package for Bayesian forecasting with object-oriented.. Apache-2 +- uber/orbit (πŸ₯‰23 Β· ⭐ 1.9K Β· πŸ“‰) - A Python package for Bayesian forecasting with object-.. Apache-2 +- nebullvm (πŸ₯‰21 Β· ⭐ 8.4K Β· πŸ“‰) - A collection of libraries to optimise AI model performances. Apache-2 +- model-card-toolkit (πŸ₯‰18 Β· ⭐ 420 Β· πŸ’€) - A toolkit that streamlines and automates the.. Apache-2 + +## βž• Added Projects + +_Projects that were recently added to this best-of list._ + +- Opik (πŸ₯‰24 Β· ⭐ 1.5K Β· βž•) - Open-source end-to-end LLM Development Platform. Apache-2