This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
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Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
TranslatedLearn step by step: Spring Boot, Spring Boot & Shiro, Spring Batch, Spring Cloud, Spring Cloud Alibaba, Spring Security & Spring Security OAuth2. Source code for the blog's Spring series: https://mrbird.cc
- spring-boot
- springboot
- learning
- shiro
TranslatedQiangu's illustrated front-end tutorials, an extremely detailed knowledge base from beginner to advanced front-end. Learn front-end from scratch and become a refined and elegant front-end engineer.
30 Days of React challenge is a step by step guide to learn React in 30 days. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
- challenge
- javascript
- js
- react
Translated:star2: Wiki of OI / ICPC for everyone. (An online walkthrough for a certain large game, containing cool arithmetic magic)
- oi
- oi-handbook
- data-structures
- algorithms
Modern JavaScript Tutorial
- english
- javascript
- tutorial
TranslatedThis project aims to share the technical principles of large models and practical experience (large model engineering, large model application deployment).
- llm
- llm-inference
- llm-serving
- llm-training
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
📗🌐 🚢 Comprehensive and exhaustive JavaScript & Node.js testing best practices (August 2025)
The repository host gives no description.
TranslatedYou call this piece of junk operating system source code? — Read through the Linux 0.11 core code like a novel
Community guide to securing and improving privacy on macOS.
TranslatedA Python web scraping tutorial series, learning Python web scraping from 0 to 1, including browser packet capture and mobile APP packet capture with tools such as fiddler and mitmproxy, the use of the various modules involved in web scraping, such as requests, beautifulSoup, selenium, appium, scrapy, etc., as well as IP proxies, CAPTCHA recognition, using Mysql and MongoDB databases with Python, multi-threaded and multi-process scraping, reverse engineering and cracking of CSS scraping encryption, JS scraping reverse engineering, distributed scraping, practical scraping project examples, etc.
- python3
- python-script
- python-spider
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
- machine-learning
- recommender
- ranking
- deep-learning
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
💻 Vibe Coding 101｜Your First Course For AI Product Builders.
- ai
- course
- vibe-coding
- coding
TranslatedA repository covering six columns: Spring Boot 2.X, Spring Cloud, Spring Cloud Alibaba, Dubbo, distributed message queues, and distributed transactions. I hope you will give it a quick tap and click Star in the upper right corner. Thank you, 1024
- spring-boot
- spring-cloud
- spring-cloud-alibaba
- dubbo
🛠️⚡ Step-by-step tutorial to build a modern JavaScript stack.
🎮 A step-by-step guide to implementing SSAO, depth of field, lighting, normal mapping, and more for your 3D game.
TranslatedJava backend knowledge graph🔥 Helping Java beginners grow
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
:mortar_board: All things Vim!