Learn how to design, develop, deploy and iterate on production-grade ML applications.

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

Google Research

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 ;)

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

Python programs, usually short, of considerable difficulty, to perfect particular skills.

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

Official code repo for the O'Reilly Book - "Hands-On Large Language Models"

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

llama3 implementation one matrix multiplication at a time

Natural Language Processing Tutorial for Deep Learning Researchers

[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

Deep Learning Specialization by Andrew Ng on Coursera.

this repository accompanies the book "Grokking Deep Learning"

An annotated implementation of the Transformer paper.

A course on aligning smol models.

A scikit-learn compatible neural network library that wraps PyTorch

Tacotron 2 - PyTorch implementation with faster-than-realtime inference

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

Probabilistic reasoning and statistical analysis in TensorFlow

Neo4j graph construction from unstructured data using LLMs

Repo for the Deep Learning Nanodegree Foundations program.

Python-based tools for document analysis and OCR

Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more

Machine Learning Journal for Intermediate to Advanced Topics.

Notebooks for "Python for Signal Processing" book

This repository contains small projects related to Neural Networks and Deep Learning in general. Subjects are closely linekd with articles I publish on Medium. I encourage you both to read as well …