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 30 complete days
55 repositories by Attention Score · Oct 5, 2026 – Nov 3, 2026 (UTC)
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
18 Lessons to Get Started Building AI Agents
21 Lessons, Get Started Building with Generative AI
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
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 👇🏼
This is a repo with links to everything you'd ever want to learn about data engineering
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
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
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
✅(已完结)超级全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】【大飞 大模型Agent】
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
Learn ML engineering for free in 4 months! Register here 👇🏼
高校生向けLLM教材: Karpathy microgptベース,Google Colab用
Companion webpage to the book "Mathematics For Machine Learning"
The fastai book, published as Jupyter Notebooks
深度学习入门教程, 优秀文章, Deep Learning Tutorial
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.
《李宏毅深度学习教程》(李宏毅老师推荐👍,苹果书🍎),PDF下载地址:https://github.com/datawhalechina/leedl-tutorial/releases
💿 Free software that works great, and also happens to be open-source Python.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
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.
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
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.
Your new Mentor for Data Science E-Learning.
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
The "Python Machine Learning (1st edition)" book code repository and info resource
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Tutorials and programming exercises for learning Q# and quantum computing
Natural Language Processing Tutorial for Deep Learning Researchers
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》)
Toturials coming with the "data science roadmap" picture.
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
TensorFlow Tutorials with YouTube Videos
Simple tutorials using Google's TensorFlow Framework
PRML algorithms implemented in Python
Algorithms for outlier, adversarial and drift detection
A collection of Jupyter notebooks showing how to use the Qiskit SDK
[Legacy] Data & AI Notebook templates catalog organized by tools, following the IMO (input, model, output) framework for easy usage and discovery..
Tutorials, datasets, and other material associated with textbook "A First Course in Network Science" by Menczer, Fortunato & Davis
深度学习入门开源书,基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
Handout for the tutorial "Creating publication-quality figures with matplotlib"
CatBoost tutorials repository
open source E-book on statistical physics
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
Mostly experiments based on "Advances in financial machine learning" book
Big Data essentials: Hadoop, MapReduce, Spark. Explore tutorials and demos in Jupyter notebooks—most are self-contained and live, ready to run with a click.
Quantum Classification tutorial using Microsoft Quantum Development Kit