Repository Index

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

• gpt
• large-language-models
• llm
• python

Python Data Science Handbook: full text in Jupyter Notebooks

• scikit-learn
• numpy
• python
• jupyter-notebook

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

• artificial-intelligence
• book
• large-language-models
• llm

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 ;)

• bayesian-methods
• pymc
• mathematical-analysis
• jupyter-notebook

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

• tensorflow
• scikit-learn
• machine-learning
• python

The fastai book, published as Jupyter Notebooks

• notebooks
• fastai
• deep-learning
• machine-learning

Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.

• machine-learning
• trading
• investment
• finance

TranslatedCode implementation of 《统计学习方法》 (Statistical Learning Methods)

TranslatedThis project changes the MXNet implementations in the original book 《动手学深度学习》 (Dive into Deep Learning) into PyTorch implementations.

• deep-learning
• deep-learning-tutorial
• pytorch
• pytorch-tutorial

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.

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

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

• machine-learning
• deep-learning
• leedl-tutorial
• cnn

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.

TranslatedOpen source Deep Learning book, based on TensorFlow 2.0 framework.

• tensorflow
• tensorflow2
• deeplearning
• machinelearning

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》)

• pytorch
• pytorch-tutorials
• pytorch-tutorials-cn
• deep-learning

The "Python Machine Learning (1st edition)" book code repository and info resource

• machine-learning
• machine-learning-algorithms
• logistic-regression
• data-science

PRML algorithms implemented in Python

• jupyter
• prml
• notebook
• python

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

• numpy
• python
• linear-algebra
• data-science

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

TranslatedBook_3_"Elements of Mathematics" | Iris Book series: from addition, subtraction, multiplication and division to machine learning; now on sale; corrections are still welcome, and readers who submit many corrections will also receive free books!

• data-science
• linear-algebra
• machine-learning
• mathematics

The "Python Machine Learning (2nd edition)" book code repository and info resource

• machine-learning
• deep-learning
• python
• scikit-learn

Python code for "Probabilistic Machine learning" book by Kevin Murphy

• jupyter-notebooks
• machine-learning
• colab
• pml

Code for Tensorflow Machine Learning Cookbook

• tensorflow
• tensorflow-cookbook
• linear-regression
• neural-network

Implement a reasoning LLM in PyTorch from scratch, step by step

• ai
• artificial-intelligence
• deep-learning
• large-language-models