Stars
starVLA: A Lego-like Codebase for Vision-Language-Action Model Developing
Official implementation of "OneTwoVLA: A Unified Vision-Language-Action Model with Adaptive Reasoning"
Simulated experiments for "Real-Time Execution of Action Chunking Flow Policies".
A simple 1-d diffusion/flow model tutorial for LeCAR group meeting
A simulation platform for versatile Embodied AI research and developments.
SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning
An open-source, GPU-accelerated physics simulation engine built upon NVIDIA Warp, specifically targeting roboticists and simulation researchers.
This is the code for Deformable Neural Radiance Fields, a.k.a. Nerfies.
RLinf is a flexible and scalable open-source infrastructure designed for post-training foundation models (LLMs, VLMs, VLAs) via reinforcement learning.
Course notes for MIT manipulation class
EGalahad / unitree_sdk2
Forked from unitreerobotics/unitree_sdk2Unitree robot sdk version 2. https://support.unitree.com/home/zh/developer
Papers in Mobile Manipulation (Personal Collection)
Unified framework for robot learning built on NVIDIA Isaac Sim
[Embodied-AI-Survey-2025] Paper List and Resource Repository for Embodied AI
Official implementation for pi0 steering via DSRL, Steering Your Diffusion Policy with Latent Space Reinforcement Learning (CoRL 2025)
A collection of paper/projects that trains flow matching model/policies via RL.
SGLang is a fast serving framework for large language models and vision language models.
[NeurIPS 2025] Flow x RL. "ReinFlow: Fine-tuning Flow Policy with Online Reinforcement Learning". Support VLAs e.g., pi0, pi0.5. Fully open-sourced.
Fastest & best convert qmc 2 mp3 | flac tools
gpt-oss-120b and gpt-oss-20b are two open-weight language models by OpenAI
A curated list of behavior(al) foundation model (BFM) papers, articles, tutorials, slides and projects
世界上最好的提示词 （总计估值超过300亿的提示词）外国网友x1xh成功获取了 v0、Manus、Cursor、Same.dev 和 Lovable 的完整官方系统提示词和内部工具。
verl: Volcano Engine Reinforcement Learning for LLMs
This is a repository for reinforcement learning implementation for Unitree robots, based on IsaacLab.
Distributed, scalable benchmarking of generalist robot policies.
A high-throughput and memory-efficient inference and serving engine for LLMs