A project to use PipelineX for image processing

[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

Images to inference with no labeling (use foundation models to train supervised models).

Python DDD Example and Techniques

Full stack, modern web application template. Using FastAPI, React, SQLModel, PostgreSQL, Docker, GitHub Actions, automatic HTTPS and more.

Automated political text analysis. The machine learning model is trained on data from the https://manifestoproject.wzb.eu/ and uses bag-of-words features to predict political tendencies.

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch