Stars
Code to pretrain, fine-tune, and evaluate DreamZero and run sim & real-world evals
NVIDIA Isaac GR00T N1.6 - A Foundation Model for Generalist Robots.
[ICLR 2026] RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO, designed for fine-tuning.
moojink / openvla-oft
Forked from openvla/openvlaFine-Tuning Vision-Language-Action Models: Optimizing Speed and Success
Sutskever 30 implementations inspired by https://papercode.vercel.app/
Octo is a transformer-based robot policy trained on a diverse mix of 800k robot trajectories.
Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action Model
Official implementation of ReconVLA: Reconstructive Vision-Language-Action Model as Effective Robot Perceiver.
Distributed Robot Interaction Dataset.
This repository summarizes recent advances in the VLA + RL paradigm and provides a taxonomic classification of relevant works.
Code for "Unleashing Large-Scale Video Generative Pre-training for Visual Robot Manipulation"
RynnVLA-002: A Unified Vision-Language-Action and World Model
[NeurIPS 2025] DreamVLA: A Vision-Language-Action Model Dreamed with Comprehensive World Knowledge
A large-scale benchmark and learning environment.
CALVIN - A benchmark for Language-Conditioned Policy Learning for Long-Horizon Robot Manipulation Tasks
Evaluating and reproducing real-world robot manipulation policies (e.g., RT-1, RT-1-X, Octo) in simulation under common setups (e.g., Google Robot, WidowX+Bridge) (CoRL 2024)
Benchmarking Knowledge Transfer in Lifelong Robot Learning
“连续八年成为全世界最受喜爱的语言，无 GC 也无需手动内存管理、极高的性能和安全性、过程/OO/函数式编程、优秀的包管理、JS 未来基石" — 工作之余的第二语言来试试 Rust 吧。本书拥有全面且深入的讲解、生动贴切的示例、德芙般丝滑的内容，这可能是目前最用心的 Rust 中文学习教程 / Book
Q-network with cross-entropy (CE) method for reinforcement learning.
PyTorch code and models for VJEPA2 self-supervised learning from video.
PyTorch code and models for V-JEPA self-supervised learning from video.
Learning Latent Dynamics for Planning from Pixels
Distributed Reinforcement Learning accelerated by Lightning Fabric
RLinf: Reinforcement Learning Infrastructure for Embodied and Agentic AI