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[CVPR25] Official implementation of `MobileMamba: Lightweight Multi-Receptive Visual Mamba Network.'
分享 GitHub 上有趣、入门级的开源项目。Share interesting, entry-level open source projects on GitHub.
Open-source no-code web data extraction platform. Turn websites to APIs & spreadsheets with no-code robots in minutes.
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)
Python tutorials in both Jupyter Notebook and youtube format.
Supercharge Your PyTorch Image Models: Bag of Tricks to 8x Faster Inference with ONNX Runtime & Optimizations
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
Understanding Deep Learning - Simon J.D. Prince
[ECCV2024 Oral] Official implementation of the paper "Relation DETR: Exploring Explicit Position Relation Prior for Object Detection"
Official implementation of the CVPR 2024 paper ViT-CoMer: Vision Transformer with Convolutional Multi-scale Feature Interaction for Dense Predictions.
PyTorch implementation of MAR+DiffLoss https://arxiv.org/abs/2406.11838
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
[NeurIPS 2024 Best Paper][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ult…
A Patch for GIMP 2.10+ for Photoshop Users
[CVPR 2024] Official implementation of the paper "Salience DETR: Enhancing Detection Transformer with Hierarchical Salience Filtering Refinement"
The CVF Open Access Downloader is a Python application designed to automate the bulk downloading of open-access papers from Computer Vision Foundation (CVF) conferences, including WACV, ICCV, and C…
The official code for the paper: https://openreview.net/forum?id=_PHymLIxuI
SOTA Semantic Segmentation Models in PyTorch
Implementation of GigaGAN, new SOTA GAN out of Adobe. Culmination of nearly a decade of research into GANs
[CVPR 2023] CLIP is Also an Efficient Segmenter: A Text-Driven Approach for Weakly Supervised Semantic Segmentation
Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop