VeOmni: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoo

High-performance OpenAI and Anthropic compatible LLM inference server for Apple Silicon. Native MLX, continuous batching, multimodal models, MCP tool calling, and Claude Code support.

飞书官方出品的 OpenClaw 飞书/Lark Channel 插件

Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞

基于多智能体LLM的中文金融交易框架 - TradingAgents中文增强版

EAFT(Entropy-Adaptive Fine-Tuning: Resolving Confident Conflicts to Mitigate Forgetting) official repo

The open source coding agent.

Codec-Aligned Sparsity as a Foundational Principle for Multimodal Intelligence

A streamlined and customizable framework for efficient large model (LLM, VLM, AIGC) evaluation and performance benchmarking.

🚀 Efficient implementations for emerging model architectures

The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.

verl/HybridFlow: A Flexible and Efficient RL Post-Training Framework

Design hardware-friendly model architectures and migrate existing LLMs with minimal performance loss

My learning notes for ML SYS.

Janus-Series: Unified Multimodal Understanding and Generation Models

Scalable RL solution for advanced reasoning of language models

保存微信历史版本

Large Reasoning Models

The MATH Dataset (NeurIPS 2021)

A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)

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

Robust recipes to align language models with human and AI preferences

A curated list of reinforcement learning with human feedback resources (continually updated)

✨✨Latest Advances on Multimodal Large Language Models

Audio Captioning datasets for PyTorch.

LLM101n: Let's build a Storyteller

Train transformer language models with reinforcement learning.

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)