Stars
🔧 High-performance Python rate limiting library with multiple algorithms (Fixed Window, Sliding Window, Token Bucket, Leaky Bucket & GCRA) and storage backends (Redis, In-Memory).
Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 500+ LLMs (Qwen3, Qwen3-MoE, Llama4, InternLM3, DeepSeek-R1, ...) and 200+ MLLMs (Qwen2.5-VL, Qwen2.5-Omni, Qwen2-Audio, Ovis2, InternVL3, Llava, GLM4…
An Easy-to-use, Scalable and High-performance RLHF Framework based on Ray (PPO & GRPO & REINFORCE++ & vLLM & RFT & Dynamic Sampling & Async Agent RL)
✨✨Latest Advances on Multimodal Large Language Models
Awesome-LLM: a curated list of Large Language Model
lmingyul / lmingyul.tech
Forked from CaliCastle/cali.so阿梁的个人博客 Blog
A live stream development of RL tunning for LLM agents
🤗 smolagents: a barebones library for agents that think in code.
Research papers and blogs to transition to AI Engineering
verl: Volcano Engine Reinforcement Learning for LLMs
AI computer use powered by open source LLMs and E2B Desktop Sandbox
No fortress, purely open ground. OpenManus is Coming.
Model Context Protocol(MCP) 编程极速入门
Pocket Flow: Codebase to Tutorial
Suna - Open Source Generalist AI Agent
vLLM’s reference system for K8S-native cluster-wide deployment with community-driven performance optimization
A high-throughput and memory-efficient inference and serving engine for LLMs
推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/
《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases
An easier PyTorch deep reinforcement learning library.
A visual playground for agentic workflows: Iterate over your agents 10x faster
11 Lessons to Get Started Building AI Agents
Deep research agent to help you find the best GitHub repositories 🕵️!
SGLang is a fast serving framework for large language models and vision language models.
Maple Mono: Open source monospace font with round corner, ligatures and Nerd-Font for IDE and terminal, fine-grained customization options. 带连字和控制台图标的圆角等宽字体，中英文宽度完美2:1，细粒度的自定义选项
Agent Framework / shim to use Pydantic with LLMs
Uncomplicated Observability for Python and beyond! 🪵🔥