1.microsoft / AI-For-Beginners
12 Weeks, 24 Lessons, AI for All!
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1–100 of 117 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.
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
TranslatedThis project is a tutorial on developing large model applications, aimed at beginner developers. Read it online at: 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
TranslatedChinese tutorial on reinforcement learning (Mushroom Book 🍄), read online at: 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.
TranslatedDeep Learning Tutorial, excellent articles
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
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
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.
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.
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
YSDA course in Natural Language Processing
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
TranslatedThis project changes the MXNet implementations in the original book 《动手学深度学习》 (Dive into Deep Learning) into PyTorch implementations.
A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸
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.
This repository contains demos I made with the Transformers library by HuggingFace.
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.
Quantitative analysis, strategies and backtests
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
TranslatedCode implementation of 《统计学习方法》 (Statistical Learning Methods)
A course in reinforcement learning in the wild
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.
Tutorials and programming exercises for learning Q# and quantum computing
《Python Cookbook》 3rd Edition Translation
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
Implementing a Neural Network from Scratch
links to conference publications in graph-based deep learning
PRML algorithms implemented in Python
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
TranslatedChinese translation of wtfpython / ongoing 🚧... / My ability is limited, you are welcome to help me improve the translation
[Legacy] Data & AI Notebook templates catalog organized by tools, following the IMO (input, model, output) framework for easy usage and discovery..
Microsoft Quantum Development Kit Samples
A collection of Jupyter notebooks showing how to use the Qiskit SDK
Lectures on scientific computing with python, as IPython notebooks.
🦖 𝗟𝗲𝗮𝗿𝗻 about 𝗟𝗟𝗠𝘀, 𝗟𝗟𝗠𝗢𝗽𝘀, and 𝘃𝗲𝗰𝘁𝗼𝗿 𝗗𝗕𝘀 for free by designing, training, and deploying a real-time financial advisor LLM system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 𝘷𝘪𝘥𝘦𝘰 & 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴
Simple tutorials using Google's TensorFlow Framework