1.microsoft / AI-For-Beginners
12 Weeks, 24 Lessons, AI for All!
Ranked by Attention Score: stars gained over the last 180 complete days
100 repositories by Attention Score · May 8, 2026 – Nov 3, 2026 (UTC)
12 Weeks, 24 Lessons, AI for All!
TranslatedDive into LLMs: a series of hands-on programming tutorials
18 Lessons to Get Started Building AI Agents
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
21 Lessons, Get Started Building with Generative AI
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
TranslatedPython - 100 Days from Novice to Master
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. Join the course here 👇🏼
Translated📚 Building large models from scratch
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
Examples and guides for using the OpenAI API
This is a repo with links to everything you'd ever want to learn about data engineering
Anthropic's Interactive Prompt Engineering Tutorial
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✅ (Completed) Super comprehensive deep learning notes [Tudui PyTorch] [Li Mu Dive into Deep Learning] [Andrew Ng Deep Learning] [Dafei LLM Agent]
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
One has no future if one couldn't teach themself.
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
10 Weeks, 20 Lessons, Data Science for All!
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
Learn how to develop, deploy and iterate on production-grade ML applications.
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
Python Data Science Handbook: full text in Jupyter Notebooks
Anthropic's educational courses
Learn ML engineering for free in 4 months! Register here 👇🏼
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.
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
本项目是一个面向小白开发者的大模型应用开发教程,在线阅读地址:https://datawhalechina.github.io/llm-universe/
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.
Python training for business analysts and traders
Sample code and notebooks for Generative AI on Google Cloud, with Gemini platform
TranslatedAn introductory LLM tutorial for developers, the Chinese version of Andrew Ng's large model course series
Free MLOps course from DataTalks.Club. Register here 👇🏼 to get notified about the next cohort
Examples and guides for using the Gemini API
强化学习中文教程(蘑菇书🍄),在线阅读地址:https://datawhalechina.github.io/easy-rl/
Companion webpage to the book "Mathematics For Machine Learning"
Your new Mentor for Data Science E-Learning.
Practice your pandas skills!
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
The fastai book, published as Jupyter Notebooks
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.
深度学习入门教程, 优秀文章, Deep Learning Tutorial
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.
Course Files for Complete Python 3 Bootcamp Course on Udemy
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Learn OpenCV : C++ and Python Examples
《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
Get started with building Fullstack Agents using Gemini 2.5 and LangGraph
12 Weeks, 24 Lessons, IoT for All!
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
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
💿 Free software that works great, and also happens to be open-source Python.
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.
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸
pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行
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 ;)
A collection of various deep learning architectures, models, and tips
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Python programs, usually short, of considerable difficulty, to perfect particular skills.
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
Natural Language Processing Tutorial for Deep Learning Researchers
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
The "Python Machine Learning (1st edition)" book code repository and info resource
Toturials coming with the "data science roadmap" picture.
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Tutorials and programming exercises for learning Q# and quantum computing
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》)
llama3 implementation one matrix multiplication at a time
PRML algorithms implemented in Python
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
[Legacy] Data & AI Notebook templates catalog organized by tools, following the IMO (input, model, output) framework for easy usage and discovery..
Algorithms for outlier, adversarial and drift detection
A collection of Jupyter notebooks showing how to use the Qiskit SDK
Simple tutorials using Google's TensorFlow Framework
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.
TensorFlow Tutorials with YouTube Videos
:satellite: Simple and ready-to-use tutorials for TensorFlow
Handout for the tutorial "Creating publication-quality figures with matplotlib"
Tutorials, datasets, and other material associated with textbook "A First Course in Network Science" by Menczer, Fortunato & Davis
CatBoost tutorials repository
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.
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.
Tutorials and training material for the H2O Machine Learning Platform
Use evolutionary algorithms instead of gridsearch in scikit-learn
open source E-book on statistical physics
Recurrent Neural Network Tutorial, Part 2 - Implementing a RNN in Python and Theano