Codebase for the published paper

UMI on Legs: Making Manipulation Policies Mobile with Manipulation-Centric Whole-body Controllers

Learning-based locomotion control from OpenRobotLab, including Hybrid Internal Model & H-Infinity Locomotion Control

A convex MPC locomotion controller implemented in MuJoCo with Unitree Go2 quadruped

Deep learning software to decode EEG, ECG or MEG signals

Unofficial ROS2 SDK support for Unitree GO2 AIR/PRO/EDU

Digital Hospital | LIVE Patient Health Dashboard Panel - Create your Account and Get Started !

Register of deep learning-based products in radiotherapy

Medical Question Answering Dataset of 47,457 QA pairs created from 12 NIH websites

Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II

kinds of reinforcement learning model by Pytorch

This is the official implementation of Multi-Agent PPO (MAPPO).

A legged manipulator framework based on IsaacLab

Generalized-depth Ray-Attention Local Planner

A simulation environment for verifying RL algorithms for legged manipulators (IsaacLab to Gazebo)

[CoRL 2022] Deep Whole-Body Control: Learning a Unified Policy for Manipulation and Locomotion

Quadruped handstand using Legged Gym and reinforcement learning in Isaac Gym.

MyoSuite is a collection of environments/tasks to be solved by musculoskeletal models simulated with the MuJoCo physics engine and wrapped in the OpenAI gym API.

《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调（全参数/Lora）、部署国内外开源大模型（LLM）/多模态大模型（MLLM）教程

Build reliable customer-facing AI agents with Parlant: an interaction control harness optimized for controlled, consistent, and predictable LLM interactions.

RL Extension Library for Robots, Based on IsaacLab.

🧠「大模型」2小时完全从0训练64M的小参数LLM！Train a 64M-parameter LLM from scratch in just 2h!

AtsPy: Automated Time Series Models in Python (by @firmai)

Simulation verification and physical deployment of robot reinforcement learning algorithms, suitable for quadruped robots, wheeled robots, and humanoid robots. "sar" represents "simulation and real"

Collection of Python code that solves the Gymnasium Reinforcement Learning environments, along with YouTube tutorials.

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step