A toolkit for developing and comparing reinforcement learning algorithms.

⚡ A Fast, Extensible Progress Bar for Python and CLI

Image-to-Image Translation in PyTorch

Common used path planning algorithms with animations.

【deepin源移植】Debian/Ubuntu上的QQ/微信快速安装方式

Most popular metrics used to evaluate object detection algorithms.

A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

Waymo Open Dataset

Collection of reinforcement learning algorithms

Image Deblurring using Generative Adversarial Networks

The devkit of the nuScenes dataset.

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

SOLO and SOLOv2 for instance segmentation, ECCV 2020 & NeurIPS 2020.

A collection of reference environments for offline reinforcement learning

A fast and differentiable QP solver for PyTorch.

[CVPR'19] 3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans

[RSS 2019] End-to-End Robotic Reinforcement Learning without Reward Engineering

FlowNet3D: Learning Scene Flow in 3D Point Clouds (CVPR 2019)

3DFeat-Net: Weakly Supervised Local 3D Features for Point Cloud Registration

ROBEL: Robotics Benchmarks for Learning with low-cost robots

Proposal-generation, Refinement and Merging for Video Object Segmentation

Open source domain randomized door opening training environment

Codebase for ICRA 2020 paper "Towards Practical Multi-object Manipulation using Relational Reinforcement Learning"

Code release for "Training Robots to Evaluate Robots" (CoRL'22, Best Paper Award)

Data Efficient Visual Imitation Learning Through Variational Autoencoders and Gaussian Process