🚀 A curated collection of AI engineering resources, roadmaps, tools, and projects covering LLMs, RAG, AI Agents, MCP, fine-tuning, evaluations, and production AI systems.
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🚀 A curated collection of AI engineering resources, roadmaps, tools, and projects covering LLMs, RAG, AI Agents, MCP, fine-tuning, evaluations, and production AI systems.
📊 Path to a free self-taught education in Data Science!
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)
Best Practices on Recommendation Systems
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
This repository contains a 90-day cybersecurity study plan, along with resources and materials for learning various cybersecurity concepts and technologies. The plan is organized into daily tasks, covering topics such as Network+, Security+, Linux, Python, Traffic Analysis, Git, ELK, AWS, Azure, and Hacking. The repository also includes a `LEARN.md
🎓 Um caminho para a educação autodidata em Ciência da Computação!
DevOps Roadmap for 2026. with learning resources
VIP cheatsheets for Stanford's CS 229 Machine Learning
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)
Machine Learning Engineering Open Book
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
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
These are the best resources for System Design on the Internet
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
Build the best interview map. The current content includes JS, network, browser related, performance optimization, security, framework, Git, data structure, algorithm, etc.
💿 Free software that works great, and also happens to be open-source Python.
:sparkles::sparkles:Latest Advances on Multimodal Large Language Models
Translated👶🏻 Encyclopedia of major knowledge & technical interviews for junior developers 📖
Optimizing compiler for React
📺 Discover the latest machine learning / AI courses on YouTube.
🎮 The only Front-End Performance Checklist that runs faster than the others
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.