⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
Repository Index
47,133 repositories indexed
73–96 of 630 · Most stars
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
A brief computer graphics / rendering course
Translated✅ (Completed) Super comprehensive deep learning notes [Tudui PyTorch] [Li Mu Dive into Deep Learning] [Andrew Ng Deep Learning] [Dafei LLM Agent]
A curated collection of fun and creative examples generated with Nano Banana & Nano Banana Pro🍌, Gemini-2.5-flash-image based model. We also release Nano-consistent-150K openly to support the community's development of image generation and unified models(click to website to see our blog)
- awesome
- gemini-2-5-flash-image
- nano-banana
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.
Harness engineering beginner tutorial, from 0 to 1
- agent
- harness
- harness-engineering
- harness-framework
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
- natural-language-processing
- machine-learning
- named-entity-recognition
- machine-translation
TranslatedCollection of CVPR 2026 papers and open-source projects
- cvpr
- cvpr2020
- computer-vision
- deep-learning
🚀 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
TranslatedIntelliJ IDEA Simplified Chinese Topic Tutorial
- intellij
- java
- tutorial
- intellij-idea
A cheatsheet of modern C++ language and library features.
- cpp
- cpp11
- cpp14
- cpp17
TranslatedProgrammer Yupi's (程序员鱼皮) complete AI resource collection + zero-basics Vibe Coding tutorial. Shares step-by-step OpenClaw tutorials, ways to use large models (DeepSeek / GPT / Gemini / Claude / GLM), the latest AI news, a complete collection of Prompts, an AI knowledge encyclopedia (Agent Skills / RAG / MCP / A2A), AI programming tutorials (Harness Engineering), guides to using AI tools (Cursor / Claude Code / TRAE / Codex / Copilot), AI development framework tutorials (Spring AI / LangChain), and a guide to monetizing AI products, helping you quickly master AI technology and stay at the forefront of the times. This project is the open-source documentation aiguide, which has been upgraded to the Yupi AI Navigation website (鱼皮 AI 导航网站)
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
- machine-learning
- trading
- investment
- finance
TranslatedChinese version of Apple's official "The Swift Programming Language"
- swift
💻 Vibe Coding 101｜Your First Course For AI Product Builders.
- ai
- course
- vibe-coding
- coding
Translated:books: 《Go语言高级编程》(Advanced Go Programming) open-source book, covering advanced topics such as CGO, Go assembly language, RPC implementation, Protobuf plugin implementation, Web framework implementation, distributed systems, etc. (completed)
- go
- golang
- book
- cgo
Setup instructions for Le Wagon's students on their first day of AI Software Development Bootcamp
- setup
- ruby
Machine Learning Engineering Open Book
TranslatedThis project changes the MXNet implementations in the original book 《动手学深度学习》 (Dive into Deep Learning) into PyTorch implementations.
- deep-learning
- deep-learning-tutorial
- pytorch
- pytorch-tutorial
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
A quick example of how one can "synchronize" a 3d scene across multiple windows using three.js and localStorage
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama model family and using them on various provider services