Tensors and Dynamic neural networks in Python with strong GPU acceleration

Open deep learning compiler stack for cpu, gpu and specialized accelerators

Brevitas: neural network quantization in PyTorch

📖《Python Parallel Programming Cookbook》中文版

Monitoring recent cross-research on LLM & RL on arXiv for control. If there are good papers, PRs are welcome.

Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)

EasyR1: An Efficient, Scalable, Multi-Modality RL Training Framework based on veRL

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.

State-of-the-art Image & Video CLIP, Multimodal Large Language Models, and More!

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

Collection of common code that's shared among different research projects in FAIR computer vision team.

Wan: Open and Advanced Large-Scale Video Generative Models

[NeurIPS 2025] Official code implementation of Perception R1: Pioneering Perception Policy with Reinforcement Learning

Code release for NeRF (Neural Radiance Fields)

[CVPR 2023 Highlight] InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions

PyTorch implementation of Pointnet2/Pointnet++

Janus-Series: Unified Multimodal Understanding and Generation Models

A web interface to create custom vector-based visualizations on top of RAWGraphs core

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…

[ICLR'24 & IJCV‘25] Matcher: Segment Anything with One Shot Using All-Purpose Feature Matching

[CVPR2024 Highlight]GLEE: General Object Foundation Model for Images and Videos at Scale

Connecting segment-anything's output masks with the CLIP model; Awesome-Segment-Anything-Works

The world's simplest facial recognition api for Python and the command line

OpenMMLab Detection Toolbox and Benchmark

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

Lime: Explaining the predictions of any machine learning classifier