Lists (12)
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Starred repositories
[RSS 2025] "ASAP: Aligning Simulation and Real-World Physics for Learning Agile Humanoid Whole-Body Skills"
Tien Kung-Lab: Direct IsaacLab Workflow for Legged Robots
Code for "Adversarial Motion Priors Make Good Substitutes for Complex Reward Functions"
Simulation verification and physical deployment of robot reinforcement learning algorithms, suitable for quadruped robots, wheeled robots, and humanoid robots. "sar" represents "simulation and real"
Unified framework for robot learning built on NVIDIA Isaac Sim
This is a repository for reinforcement learning implementation for Unitree robots, based on IsaacLab.
Official Implementation of "KungfuBot: Physics-Based Humanoid Whole-Body Control for Learning Highly-Dynamic Skills"
The official codebase of paper "GMT: General Motion Tracking for Humanoid Whole-Body Control"
Humanoid-Gym: Reinforcement Learning for Humanoid Robot with Zero-Shot Sim2Real Transfer https://arxiv.org/abs/2404.05695
Python interface for unitree sdk2
Isaac Gym Environments for Legged Robots
[Lumina Embodied AI] 具身智能技术指南 Embodied-AI-Guide
Transformer: PyTorch Implementation of "Attention Is All You Need"
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
[CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving
Release repo for our SLAM Handbook
A fast and simple implementation of learning algorithms for robotics.
Access 135+ robot descriptions from the main Python robotics frameworks
NVIDIA Isaac GR00T N1.6 - A Foundation Model for Generalist Robots.
This repository contains demos I made with the Transformers library by HuggingFace.
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
Xiaomi Home Integration for Home Assistant
A PyTorch implementation of the Transformer model in "Attention is All You Need".
🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning

