[RSS 2026] Interactive World Simulator for Robot Policy Training and Evaluation

Python SDK for OpenCyberGlove 🧤

Implementation of Dex1B: Learning with 1B Demonstrations for Dexterous Manipulation, from Ye et al of UCSD

Codebase for DexMachina: Functional Retargeting for Bimanual Dexterous Manipulation

MANO hand model in PyTorch (anatomy consistent, anchors, etc)

[ICLR 2025 Oral] The official implementation of "Diffusion-Based Planning for Autonomous Driving with Flexible Guidance"

Minimal reproduction of DeepSeek R1-Zero

Implementation of π₀, the robotic foundation model architecture proposed by Physical Intelligence

Visualize Data From Stray Scanner https://keke.dev/blog/2021/03/10/Stray-Scanner.html

[CoRL'23] Parting with Misconceptions about Learning-based Vehicle Motion Planning

world modeling challenge for humanoid robots

commaVQ is a dataset of compressed driving video

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

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

Code for the paper "Planning with Diffusion for Flexible Behavior Synthesis"

CMU Vision-Language-Autonomy Challenge - Unity Setup

[ICLR'23 Spotlight & ECCV'24 & IJCV'24] MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction

[PAMI 2022, CVPR 2023] ASH: Parallel Spatial Hashing for Fast Scene Reconstruction

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

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Official implementation of "Decentralization and Acceleration Enables Large-Scale Bundle Adjustment"

Factor graphs with Ceres in Python

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

Fast-BEV: A Fast and Strong Bird’s-Eye View Perception Baseline

ImMesh: An Immediate LiDAR Localization and Meshing Framework