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Monocular whole-body 3D human pose estimation using the SOMA body model
A Modular Toolkit for Robot Kinematic Optimization
🧻 Knowledge system for agents. Local-first, file-based, progressively disclosed.
An open-source implementation of Multitask Diffusion Transformer (DiT) Policy for robot manipulation as seen on Boston Dynamics Atlas Humanoid and in "A Careful Examination of Large Behavior Models…
AI agents running research on single-GPU nanochat training automatically
Differentiable collision detection and contact dynamics simulation in JAX
[MICRO'23, MLSys'22] TorchSparse: Efficient Training and Inference Framework for Sparse Convolution on GPUs.
Repository for our papers: Robotic World Model: A Neural Network Simulator for Robust Policy Optimization in Robotics and Uncertainty-Aware Robotic World Model Makes Offline Model-Based Reinforceme…
bard is a lightweight, PyTorch-native library for rigid-body dynamics that leverages tensor operations to perform efficient, batched computations on either the CPU or GPU. It provides a simple yet …
Differentiable Model Predictive Control on the GPU
The Unified Autonomy Stack: Toward a Blueprint for Generalizable Robot Autonomy
Aerial Gym Simulator - Isaac Gym Simulator for Aerial Robots
Static site generator that supports Markdown and reST syntax. Powered by Python.
Official Codebase for our CVPR 2026 paper UniSH: Unifying Scene and Human Reconstruction in a Feed-Forward Pass
A general physic-based retargeting framework.
End-to-end pipeline converting generative videos (Veo, Sora) to humanoid robot motions
Deepnote is a drop-in replacement for Jupyter with an AI-first design, sleek UI, new blocks, and native data integrations. Use Python, R, and SQL locally in your favorite IDE, then scale to Deepnot…
A optimized PyTorch framework for behavior cloning with flow related generative models.
Machine Learning Course, Sharif University of Technology
Isaac Lab API, powered by MuJoCo-Warp, for RL and robotics research
A lightweight suite of motion imitation methods for training controllers.