Starred repositories
Momentum Human Rig is an anatomically-inspired parametric full-body digital human model developed at Meta. It includes: A parametric body skeletal model; A realistic 3D mesh skinned to the skeleton…
Isaac Gym Reinforcement Learning Environments
Code release for "Avatars Grow Legs Generating Smooth Human Motion from Sparse Tracking Inputs with Diffusion Model", CVPR 2023
Evaluating Human Motion Generation Models
The repository provides code for running inference with the SAM 3D Body Model (3DB), links for downloading the trained model checkpoints and datasets, and example notebooks that show how to use the…
OmniResponse: Online Multimodal Conversational Response Generation in Dyadic Interactions
10
Updated Sep 28, 2025
This repository contains data pre-processing and visualization scripts used in GENEA Challenge 2022 and 2023. Check the repository's README.md file for instructions on how to use scripts yourself.
A dyadic co-speech gesture generation pipeline employing VQVAE and diffusion model
Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflo…
🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning
Easy guide to installing Claude Code MCPs globally on your machine.
MCP implementation of Claude Code capabilities and more
MiniMax-M2, a model built for Max coding & agentic workflows.
A simple code to transfer smplh to smplh
⛽️「算法通关手册」：从零开始的「算法与数据结构」学习教程，200 道「算法面试热门题目」，1000+ 道「LeetCode 题目解析」，持续更新中！
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Official implementation of "TM2T: Stochastic and Tokenized Modeling for the Reciprocal Generation of 3D Human Motions and Texts (ECCV2022)"
Code for our ICCV 2021 Paper "OadTR: Online Action Detection with Transformers".
[ICCV 2023] Official implementation of Memory-and-Anticipation Transformer for Online Action Understanding
A skeleton-based real-time online action recognition project, classifying and recognizing base on framewise joints, which can be used for safety surveilence.
Apply ML to the skeletons from OpenPose; 9 actions; multiple people. (WARNING: I'm sorry that this is only good for course demo, not for real world applications !!! Those ary very difficult !!!)
OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark