"🐈 nanobot: The Ultra-Lightweight Clawdbot"

🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning

Nano vLLM

Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3, Qwen3-MoE, DeepSeek-R1, GLM4.5, InternLM3, Llama4, ...) and 300+ MLLMs (Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, GLM4.5v, Llava, …

Minimal and readable coding agent harness implementation in Python to explain the core components of coding agents.

A high-throughput and memory-efficient inference and serving engine for LLMs

每个人都能看懂的大模型知识分享，LLMs春/秋招大模型面试前必看，让你和面试官侃侃而谈

Your Personal AI Assistant; easy to install, deploy on your own machine or on the cloud; supports multiple chat apps with easily extensible capabilities.

Implement a reasoning LLM in PyTorch from scratch, step by step

Production-ready platform for agentic workflow development.

复现大模型相关算法及一些学习记录

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

Start building LLM-empowered multi-agent applications in an easier way.

A compact implementation of SGLang, designed to demystify the complexities of modern LLM serving systems.

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

⚡FlashRAG: A Python Toolkit for Efficient RAG Research

State-of-the-Art Text Embeddings

An easy-to-use framework for modular RAG

🚀🚀 「大模型」2小时完全从0训练26M的小参数GPT！🌏 Train a 26M-parameter GPT from scratch in just 2h!

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

A curated list of world models for autonomous driving. Keep updated.

📚LeetCUDA: Modern CUDA Learn Notes with PyTorch for Beginners🐑, 200+ CUDA Kernels, Tensor Cores, HGEMM, FA-2 MMA.🎉

A community-driven collection of RAG (Retrieval-Augmented Generation) frameworks, projects, and resources. Contribute and explore the evolving RAG ecosystem.

Real-time, fine-grained LLM synthetic data involves data of, by, and for LLMs.

This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, and Python. Designed for d…

MS-Agent: Lightweight Framework for Empowering Agents with Autonomous Exploration

AI Native Data App Development framework with AWEL(Agentic Workflow Expression Language) and Agents

"RAG-Anything: All-in-One RAG System"

The code used to train and run inference with the ColVision models, e.g. ColPali, ColQwen2, and ColSmol.