100+ AI Agents, Agent Skills and RAG Apps - Free and Open Source.
Repository Index
47,133 repositories indexed
1–24 of 31 · Most stars
21 Lessons, Get Started Building with Generative AI
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
TranslatedA series of programming practice tutorials, 《Hands-on Large Models Dive into LLMs》
Learn how to develop, deploy and iterate on production-grade ML applications.
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
✅(已完结)超级全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】【大飞 大模型Agent】
Self-Hosting Guide. Learn all about locally hosting (on premises & private web servers) and managing software applications by yourself or your organization. Including Cloud, LLMs, WireGuard, Automation, Home Assistant, and Networking.
🚀 A curated collection of AI engineering resources, roadmaps, tools, and projects covering LLMs, RAG, AI Agents, MCP, fine-tuning, evaluations, and production AI systems.
- agentic-ai
- ai-agents
- ai-engineering
- ai-projects
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
A book for Learning the Foundations of LLMs
主要记录大语言大模型(LLMs) 算法(应用)工程师相关的知识及面试题
Pocket Flow: Codebase to Tutorial
Low-code framework for building custom LLMs, neural networks, and other AI models
A curated list of 120+ LLM libraries category wise.
- ai-engineer
- generative-ai
- large-language-models
- llms
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
15 motion design styles, each made by Claude Opus 5.5 writing code from one prompt: watch the films, copy the prompts, read the full source.