CLU lets you write beautiful training loops in JAX.

Modular, scalable library to train ML models

A JAX-native LLM Post-Training Library

Reference PyTorch implementation and models for DINOv3

Code implementation for the paper "Large-scale Pre-training for Grounded Video Caption Generation" (ICCV 2025)

NVIDIA Isaac GR00T N1.5 - A Foundation Model for Generalist Robots.

Nvidia GEAR Lab's initiative to solve the robotics data problem using world models

glTF to USD converter with MaterialX support

[ICLR 2025] LAPA: Latent Action Pretraining from Videos

An open-source AI agent that brings the power of Gemini directly into your terminal.

Distributed, scalable benchmarking of generalist robot policies.

A simulation evaluation platform for DROID

A curated list of state-of-the-art research in embodied AI, focusing on vision-language-action (VLA) models, vision-language navigation (VLN), and related multimodal learning approaches.

dataloading is my passion

State-of-the-art Image & Video CLIP, Multimodal Large Language Models, and More!

Tracking Any Point (TAP)

A simple, performant and scalable Jax LLM!

Library for reading and processing ML training data.

Gemma open-weight LLM library, from Google DeepMind

[ICLR 2025] 6D Object Pose Tracking in Internet Videos for Robotic Manipulation

Embodied Chain of Thought: A robotic policy that reason to solve the task.

Code for the paper "ShowHowTo: Generating Scene-Conditioned Step-by-Step Visual Instructions" published at CVPR 2025

Theia: Distilling Diverse Vision Foundation Models for Robot Learning

[CVPR 2024] MemFlow: Optical Flow Estimation and Prediction with Memory

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).