1.patchy631 / ai-engineering-hub
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
Ranked by Attention Score: stars gained over the last 7 complete days
46 repositories by Attention Score · Oct 28, 2026 – Nov 3, 2026 (UTC)
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
A visual, example-driven guide to Claude Code — from basic concepts to advanced agents, with copy-paste templates that bring immediate value.
Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1
from vibe coding to agentic engineering - practice makes claude perfect
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
The ESP32-S3 bench guide as a React app: live pinout, lessons with interactive simulators, a code reader for the esp-labs firmware, and the bench log. In 11 languages.
TranslatedBuild GPT-2 from scratch in PyTorch, step by step
Examples and guides for using the OpenAI API
🚀✨ Help beginners to contribute to open source projects
How to build useful, profitable apps in 2026. Clone it and point your coding agent at AGENTS.md.
TranslatedThe original of this article was written by the well-known hacker Eric S. Raymond. It teaches you how to ask technical questions correctly and get answers you are satisfied with.
TranslatedFull-stack learning roadmap and Chinese tutorials for large language models (LLM)🔥: covers Prompt Engineering, RAG, AI Agent, MCP, fine-tuning, model deployment, Transformer, AI programming, and interviews at major tech companies, from beginner level to production practice.
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
100 Days of ML Coding
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.
Community guide to using YubiKey for GnuPG and SSH - protect secrets with hardware crypto.
Crack WPA/WPA2 Wi-Fi Routers with Airodump-ng and Aircrack-ng/Hashcat
Claude Code Guide - Setup, Commands, workflows, agents, skills & tips-n-tricks from beginner to power user!
An interactive git visualization and tutorial. Aspiring students of git can use this app to educate and challenge themselves towards mastery of git!
PyTorch Tutorial for Deep Learning Researchers
Community guide to securing and improving privacy on macOS.
Pocket Flow: Codebase to Tutorial
An educational resource to help anyone learn deep reinforcement learning.
TranslatedMachine learning tutorials
Quantitative analysis, strategies and backtests
Best Practices on Recommendation Systems
This guide details creating a secure Linux production system. OpenSCAP (C2S/CIS, STIG).
Tutorials and programming exercises for learning Q# and quantum computing
TranslatedAlgorithm Patterns — the most scientific way to practice, the fastest path to an offer. You deserve it~ Algorithm templates, the most scientific way to practice problems, the fastest path to practice problems, you deserve it~
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch:入门与实战》)
Go DDD example application. Complete project to show how to apply DDD, Clean Architecture, and CQRS by practical refactoring.
Learning operating system development using Linux kernel and Raspberry Pi
Implementing a Neural Network from Scratch
A technical report on convolution arithmetic in the context of deep learning
llama3 implementation one matrix multiplication at a time
The complete guide to static typing in "React & Redux" apps using TypeScript
TranslatedA programmer who loves cooking and is determined to use animations to explain algorithms in plain, easy-to-understand terms. My interview website: www.chengxuchu.com
:dolphin: A comprehensive tutorial on getting started with Docker!
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
A walk through the Elixir language in 30 exercises.
TranslatedCAPTCHA recognition