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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
12 Lessons to Get Started Building AI Agents
Python Data Science Handbook: full text in Jupyter Notebooks
Learn how to develop, deploy and iterate on production-grade ML applications.
12 Weeks, 24 Lessons, AI for All!
Google Research
10 Weeks, 20 Lessons, Data Science for All!
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
Course Files for Complete Python 3 Bootcamp Course on Udemy
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
The fastai book, published as Jupyter Notebooks
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
100-Days-Of-ML-Code中文版
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
Neural Networks: Zero to Hero
This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a comprehensive guide for building intelligent, interactive A…
This repository delivers end-to-end, code-first tutorials covering every layer of production-grade GenAI agents, guiding you from spark to scale with proven patterns and reusable blueprints for re…
Get started with building Fullstack Agents using Gemini 2.5 and LangGraph
A collection of various deep learning architectures, models, and tips
Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI
This repository contains implementations and illustrative code to accompany DeepMind publications
Practice your pandas skills!
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Public facing notes page