1.patchy631 / ai-engineering-hub
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
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93 repositories by Attention Score · Oct 29, 2026 – Nov 4, 2026 (UTC)
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
18 Lessons to Get Started Building AI Agents
TranslatedDive into LLMs: a series of hands-on programming tutorials
21 Lessons, Get Started Building with Generative AI
One has no future if one couldn't teach themself.
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
This is a repo with links to everything you'd ever want to learn about data engineering
12 Weeks, 24 Lessons, AI for All!
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Anthropic's Interactive Prompt Engineering Tutorial
Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. Join the course here 👇🏼
TranslatedPython - 100 Days from Novice to Master
Translated📚 Building large models from scratch
10 Weeks, 20 Lessons, Data Science for All!
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
Python Data Science Handbook: full text in Jupyter Notebooks
Examples and guides for using the OpenAI API
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
Learn how to develop, deploy and iterate on production-grade ML applications.
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
This repository is maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), AI security, vulnerability research, exploit development, reverse engineering, and more. 🔥 Also check: https://hackertraining.org
Translated"开源大模型食用指南" (Open-Source Large Model Usage Guide): a tutorial tailor-made for Chinese users on quickly fine-tuning (full-parameter/LoRA) and deploying domestic and international open-source large language models (LLM) and multimodal large models (MLLM) in a Linux environment
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
Translated✅ (Completed) Super comprehensive deep learning notes [Tudui PyTorch] [Li Mu Dive into Deep Learning] [Andrew Ng Deep Learning] [Dafei LLM Agent]
TranslatedAISystem mainly refers to AI systems, covering the full stack of underlying AI technologies, including AI chips, AI compilers, and AI inference and training frameworks
Python training for business analysts and traders
TranslatedThis project is a tutorial on developing large model applications, aimed at beginner developers. Read it online at: https://datawhalechina.github.io/llm-universe/
Learn ML engineering for free in 4 months! Register here 👇🏼
Anthropic's educational courses
Free MLOps course from DataTalks.Club. Register here 👇🏼 to get notified about the next cohort
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Examples and guides for using the Gemini API
TranslatedAn introductory LLM tutorial for developers, the Chinese version of Andrew Ng's large model course series
TranslatedChinese tutorial on reinforcement learning (Mushroom Book 🍄), read online at: https://datawhalechina.github.io/easy-rl/
Sample code and notebooks for Generative AI on Google Cloud, with Gemini platform
The fastai book, published as Jupyter Notebooks
Translated"Lee Hung-yi's Deep Learning Tutorial" (recommended by Professor Hung-yi Lee 👍, the Apple Book 🍎), PDF download address: https://github.com/datawhalechina/leedl-tutorial/releases
Companion webpage to the book "Mathematics For Machine Learning"
TranslatedLLM teaching material for high school students: based on Karpathy's microgpt, for Google Colab
Practice your pandas skills!
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.
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Learn OpenCV : C++ and Python Examples
💿 Free software that works great, and also happens to be open-source Python.
Instructional notebooks on music information retrieval.
Course Files for Complete Python 3 Bootcamp Course on Udemy
TranslatedThis project changes the MXNet implementations in the original book 《动手学深度学习》 (Dive into Deep Learning) into PyTorch implementations.
Python programs, usually short, of considerable difficulty, to perfect particular skills.
TranslatedDeep Learning Tutorial, excellent articles
YSDA course in Natural Language Processing
Get started with building Fullstack Agents using Gemini 2.5 and LangGraph
A course in reinforcement learning in the wild
Quantitative analysis, strategies and backtests
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸
12 Weeks, 24 Lessons, IoT for All!
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Dive into this repository, a comprehensive resource covering Data Structures, Algorithms, 450 DSA by Love Babbar, Striver DSA sheet, Apna College DSA Sheet, and FAANG Questions! 🚀 That's not all! We've got Technical Subjects like Operating Systems, DBMS, SQL, Computer Networks, and Object-Oriented Programming, all waiting for you.
links to conference publications in graph-based deep learning
Tutorials and programming exercises for learning Q# and quantum computing
TeachOpenCADD: a teaching platform for computer-aided drug design (CADD) using open source packages and data
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
A collection of various deep learning architectures, models, and tips
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》)
The "Python Machine Learning (1st edition)" book code repository and info resource
A collection of Jupyter notebooks showing how to use the Qiskit SDK
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
TranslatedThis project covers the knowledge points and code implementations frequently asked about in Machine Learning, Deep Learning, and NLP interviews, and it is also the basic theoretical knowledge that an algorithm engineer must master.
This repository contains demos I made with the Transformers library by HuggingFace.
Lists of company wise questions available on leetcode premium. Every csv file in the companies directory corresponds to a list of questions on leetcode for a specific company based on the leetcode company tags. Updated as of May, 2022.
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Simple tutorials using Google's TensorFlow Framework
[Legacy] Data & AI Notebook templates catalog organized by tools, following the IMO (input, model, output) framework for easy usage and discovery..
Implementing a Neural Network from Scratch
TranslatedThe pytorch handbook is an open-source book that aims to help friends who want to use PyTorch for deep learning development and research get started quickly. All of the PyTorch tutorials it contains have been tested to ensure they run successfully.
TranslatedCode implementation of 《统计学习方法》 (Statistical Learning Methods)
Microsoft Quantum Development Kit Samples
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
TranslatedCAPTCHA recognition
Tutorials, datasets, and other material associated with textbook "A First Course in Network Science" by Menczer, Fortunato & Davis
open source E-book on statistical physics
Quantum Classification tutorial using Microsoft Quantum Development Kit