🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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

openpilot is an operating system for robotics. Currently, it upgrades the driver assistance system in 275+ supported cars.

Python sample codes for robotics algorithms.

LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source …

deep learning for image processing including classification and object-detection etc.

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Datasets, Transforms and Models specific to Computer Vision

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

Common used path planning algorithms with animations.

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

3D ResNets for Action Recognition (CVPR 2018)

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

[CVPR'23 Best Paper Award] Planning-oriented Autonomous Driving

[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.

Open source hardware and software platform to build a small scale self driving car.

A minimalist environment for decision-making in autonomous driving

[ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding

Motion planning algorithms commonly used on autonomous vehicles. (path planning + path tracking)

Non-local Neural Networks for Video Classification

Convolutional neural network model for video classification trained on the Kinetics dataset.

Implementation of Non-local Block.

Code & Models for Temporal Segment Networks (TSN) in ECCV 2016

Mastering Diverse Domains through World Models

PyTorch implemented C3D, R3D, R2Plus1D models for video activity recognition.

[PAMI'23] TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving; [CVPR'21] Multi-Modal Fusion Transformer for End-to-End Autonomous Driving

Temporal Segment Networks (TSN) in PyTorch