Stars
🤗 smolagents: a barebones library for agents that think in code.
MAPLE infuses dexterous manipulation priors from egocentric videos into vision encoders, making their features well-suited for downstream dexterous robotic manipulation tasks.
Visualizing the DROID dataset using Rerun
This repository contains the Hugging Face Agents Course.
Bimanual Dexterous Teleoperation with Real-Time Retargeting using VisionPro
External extenstion template based on Isaac Lab
Stream VR games from your PC to your headset via Wi-Fi
fishbotics / pyribbit
Forked from mmatl/pyrenderFork of Pyrender, an easy-to-use glTF 2.0-compliant OpenGL renderer for visualization of 3D scenes.
fishbotics / urchin
Forked from mmatl/urdfpyPython parser for URDFs
This is a library that provides dual dexterous hand manipulation tasks through Isaac Gym
Infinite Photorealistic Worlds using Procedural Generation
Unified framework for robot learning built on NVIDIA Isaac Sim
Official Implementation of CVPR24 highlight paper: Matching Anything by Segmenting Anything
🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
[CVPR 2024 Highlight] Official PyTorch implementation of SpatialTracker: Tracking Any 2D Pixels in 3D Space
High-Resolution Image Synthesis with Latent Diffusion Models
A latent text-to-image diffusion model
Pointcept: a codebase for point cloud perception research. Latest works: Sonata (CVPR'25 Highlight), PTv3 (CVPR'24 Oral), PPT (CVPR'24), MSC (CVPR'23)
SAM-PT: Extending SAM to zero-shot video segmentation with point-based tracking.
Official repository for "LIV: Language-Image Representations and Rewards for Robotic Control" (ICML 2023)
[CVPR 2024 Highlight] FoundationPose: Unified 6D Pose Estimation and Tracking of Novel Objects
Reinforcement Learning Environments for Omniverse Isaac Gym
[ CVPR 2023 Award Candidate ] OmniObject3D: Large-Vocabulary 3D Object Dataset for Realistic Perception, Reconstruction and Generation
Official code for CVPR'23 paper: Learning Human-to-Robot Handovers from Point Clouds