An opinionated list of awesome Python frameworks, libraries, software and resources.

Grok open release

OpenMMLab Detection Toolbox and Benchmark

PyTorch Tutorial for Deep Learning Researchers

Python sample codes and textbook for robotics algorithms.

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning

Python Implementation of Reinforcement Learning: An Introduction

[CVPR 2024 Oral] InternVL Family: A Pioneering Open-Source Alternative to GPT-4o. 接近GPT-4o表现的开源多模态对话模型

Common used path planning algorithms with animations.

A faster pytorch implementation of faster r-cnn

NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"

DeepLab v3+ model in PyTorch. Support different backbones.

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

label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful

Easy-to-use glTF 2.0-compliant OpenGL renderer for visualization of 3D scenes.

Python implementation of a bunch of multi-robot path-planning algorithms.

This is an official implementation of facial landmark detection for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919

A PyTorch implementation of the architecture of Mask RCNN

[NeurIPS 2024] A Generalizable World Model for Autonomous Driving

Implementation of PFLD A Practical Facial Landmark Detector , reference to https://arxiv.org/pdf/1902.10859.pdf

DriveArena: A Closed-loop Generative Simulation Platform for Autonomous Driving

Python implementation of an automatic parallel parking system in a virtual environment, including path planning, path tracking, and parallel parking

We use hybrid a star and optimization-based method for trajectory planning of the autonomous vehicle parking

A Neural Rendering Framework for Free-Viewpoint Relighting (CVPR 2020)

MinRL provides clean, minimal implementations of fundamental reinforcement learning algorithms in a customizable GridWorld environment. The project focuses on educational clarity and implementation…

Reinforcement Learning-based Hybrid Policy Path Planning in Diverse Parking Scenarios