Highlights
- Pro
Stars
21 Lessons, Get Started Building with Generative AI
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Examples and guides for using the OpenAI API
Python Data Science Handbook: full text in Jupyter Notebooks
Learn how to design, develop, deploy and iterate on production-grade ML applications.
12 Lessons to Get Started Building AI Agents
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
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.
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
Python programs, usually short, of considerable difficulty, to perfect particular skills.
The fastai book, published as Jupyter Notebooks
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Neural Networks: Zero to Hero
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 mode…
The "Python Machine Learning (1st edition)" book code repository and info resource
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
Public facing notes page
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Code samples used on cloud.google.com
Deep Learning Specialization by Andrew Ng on Coursera.
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
Code for Tensorflow Machine Learning Cookbook
Simple tutorials using Google's TensorFlow Framework
All course materials for the Zero to Mastery Deep Learning with TensorFlow course.