A PyTorch library for implementing flow matching algorithms, featuring continuous and discrete flow matching implementations. It includes practical examples for both text and image modalities.

Connect AI models like Claude & GPT with robots using MCP and ROS.

A playbook for systematically maximizing the performance of deep learning models.

Quadratic programming solvers in Python with a unified API

Python implementation of SO2, SE2, SO3, and SE3 matrix Lie groups using numpy or pytorch

Robot kinematics implemented in pytorch

Volumetric structures such as voxels and SDFs implemented in pytorch

Create a ros-humble-ros1-bridge package that can be used directly in ROS2 Humble

Install mainline kernel packages from kernel.ubuntu.com

A collection of high-quality models for the MuJoCo physics engine, curated by Google DeepMind.

[IEEE RA-L & ICRA'22] A lightweight and computationally-efficient frontend LiDAR odometry solution with consistent and accurate localization.

Differential dynamics with respect to joint twists and joint states

A collection of Jupyter notebooks that count independent citations from different bibliographic databases

SAM with text prompt

침착한 생성모델 학습기

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.