1.Lordog / dive-into-llms
TranslatedDive into LLMs: a series of hands-on programming tutorials
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1–100 of 119 by Attention Score · Oct 5, 2026 – Nov 3, 2026 (UTC)
TranslatedDive into LLMs: a series of hands-on programming tutorials
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
One has no future if one couldn't teach themself.
12 Weeks, 24 Lessons, AI for All!
TranslatedPython - 100 Days from Novice to Master
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. Join the course here 👇🏼
Anthropic's Interactive Prompt Engineering Tutorial
Examples and guides for using the OpenAI API
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
This is a repo with links to everything you'd ever want to learn about data engineering
Translated📚 Building large models from scratch
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
10 Weeks, 20 Lessons, Data Science for All!
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.
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
Translated✅ (Completed) Super comprehensive deep learning notes [Tudui PyTorch] [Li Mu Dive into Deep Learning] [Andrew Ng Deep Learning] [Dafei LLM Agent]
Python Data Science Handbook: full text in Jupyter Notebooks
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
Learn how to develop, deploy and iterate on production-grade ML applications.
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
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.
TranslatedThis project is a tutorial on developing large model applications, aimed at beginner developers. Read it online at: https://datawhalechina.github.io/llm-universe/
TranslatedLLM teaching material for high school students: based on Karpathy's microgpt, for Google Colab
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
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.
Practice your pandas skills!
Free MLOps course from DataTalks.Club. Register here 👇🏼 to get notified about the next cohort
TranslatedChinese tutorial on reinforcement learning (Mushroom Book 🍄), read online at: https://datawhalechina.github.io/easy-rl/
Anthropic's educational courses
Python training for business analysts and traders
TranslatedAn introductory LLM tutorial for developers, the Chinese version of Andrew Ng's large model course series
Examples and guides for using the Gemini API
Companion webpage to the book "Mathematics For Machine Learning"
The fastai book, published as Jupyter Notebooks
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Sample code and notebooks for Generative AI on Google Cloud, with Gemini platform
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
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
💿 Free software that works great, and also happens to be open-source Python.
Learn OpenCV : C++ and Python Examples
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
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
YSDA course in Natural Language Processing
12 Weeks, 24 Lessons, IoT for All!
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸
Get started with building Fullstack Agents using Gemini 2.5 and LangGraph
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
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.
A collection of various deep learning architectures, models, and tips
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 ;)
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.
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.
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Python programs, usually short, of considerable difficulty, to perfect particular skills.
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
TranslatedThis project changes the MXNet implementations in the original book 《动手学深度学习》 (Dive into Deep Learning) into PyTorch implementations.
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.
Quantitative analysis, strategies and backtests
Instructional notebooks on music information retrieval.
A course in reinforcement learning in the wild
Your new Mentor for Data Science E-Learning.
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
TeachOpenCADD: a teaching platform for computer-aided drug design (CADD) using open source packages and data
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
The "Python Machine Learning (1st edition)" book code repository and info resource
TranslatedCode implementation of 《统计学习方法》 (Statistical Learning Methods)
Tutorials and programming exercises for learning Q# and quantum computing
Natural Language Processing Tutorial for Deep Learning Researchers
Implementing a Neural Network from Scratch
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》)
links to conference publications in graph-based deep learning
《Python Cookbook》 3rd Edition Translation
Toturials coming with the "data science roadmap" picture.
Microsoft Quantum Development Kit Samples
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Simple tutorials using Google's TensorFlow Framework
llama3 implementation one matrix multiplication at a time
PRML algorithms implemented in Python
TensorFlow Tutorials with YouTube Videos
A collection of Jupyter notebooks showing how to use the Qiskit SDK
Lectures on scientific computing with python, as IPython notebooks.
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