Tooling for exact and MinHash deduplication of large-scale text datasets

Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)

Official repo for the paper "Scaling Synthetic Data Creation with 1,000,000,000 Personas"

ToolOrchestra is an end-to-end RL training framework for orchestrating tools and agentic workflows.

MiroThinker is an open-source search agent model, built for tool-augmented reasoning and real-world information seeking, aiming to match the deep research experience of OpenAI Deep Research and Gem…

Code for Constraint-Adaptive Policy Switching for Offline Safe Reinforcement Learning, AAAI 2025

Nex General Agentic Data Pipeline, an end-to-end pipeline for generating high-quality agentic training data.

τ²-Bench: Evaluating Conversational Agents in a Dual-Control Environment

🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org

Multi-Mission Tool Bench: Assessing the Robustness of LLM based Agents through Related and Dynamic Missions

SWE-bench: Can Language Models Resolve Real-world Github Issues?

[Up-to-date] Large Language Model Agent: A Survey on Methodology, Applications and Challenges

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.

多模态具身智能大模型 OpenVLA 的复现以及在 LIBERO 数据集上的微调改进

RAGEN leverages reinforcement learning to train LLM reasoning agents in interactive, stochastic environments.

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.

NVIDIA Isaac GR00T N1.6 - A Foundation Model for Generalist Robots.

Re-implementation of pi0 vision-language-action (VLA) model from Physical Intelligence

b站会员购购票辅助工具

LLaVA-VLA: A Simple Yet Powerful Vision-Language-Action Model [Actively Maintained🔥]

Imitation learning algorithms with Co-training for Mobile ALOHA: ACT, Diffusion Policy, VINN

Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success

[RSS 2025] Learning to Act Anywhere with Task-centric Latent Actions

ICCV2025

Awesome collection of resources and papers on Diffusion Models for Robotic Manipulation.

SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning

[RSS 2023] Diffusion Policy Visuomotor Policy Learning via Action Diffusion