Data recipes and robust infrastructure for training AI agents

Official Repo for HoneyBee Paper

This is a pytorch implementation of k-means clustering algorithm

😎 Finding duplicate images made easy!

A Python Perceptual Image Hashing Module

verl: Volcano Engine Reinforcement Learning for LLMs

Scalable toolkit for efficient model reinforcement

Official Implementation of LaViDa: :A Large Diffusion Language Model for Multimodal Understanding

A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning

The official code of "VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning" [NeurIPS25]

Dream 7B, a large diffusion language model

Official PyTorch implementation for "Large Language Diffusion Models"

get things from one computer to another, safely

An open-source implementation for training LLaVA-NeXT.

[COLM 2025] Official code for "When To Solve, When To Verify: Compute-Optimal Problem Solving and Generative Verification for LLM Reasoning"

Understanding R1-Zero-Like Training: A Critical Perspective

OpenVLThinker: An Early Exploration to Vision-Language Reasoning via Iterative Self-Improvement

A light-weight tool for evaluating LLMs in rule-based ways.

Wan: Open and Advanced Large-Scale Video Generative Models

xDiT: A Scalable Inference Engine for Diffusion Transformers (DiTs) with Massive Parallelism

Efficient Triton Kernels for LLM Training

An Easy-to-use, Scalable and High-performance RLHF Framework based on Ray (PPO & GRPO & REINFORCE++ & TIS & vLLM & Ray & Dynamic Sampling & Async Agentic RL)

A unified inference and post-training framework for accelerated video generation.

Fully open data curation for reasoning models

A library for advanced large language model reasoning

Synthetic data curation for post-training and structured data extraction