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

Deep Learning Book Chinese Translation

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

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

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

• deep-learning
• machine-learning
• book
• notebook

Machine Learning Systems: Foundations, Scaling, Agentic AI, and Physical AI (Vols I–IV) • Harvard CS249r | https://mlsysbook.ai

• artificial-intelligence
• cloud-ml
• computer-systems
• courseware

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

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.

This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."

• reinforcement-learning
• book
• courses
• tutorials

Rust By Practice will evolve into Origin.

• rust
• practice
• example
• exercise

Python Implementation of Reinforcement Learning: An Introduction

• reinforcement-learning
• artificial-intelligence

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.

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

• deep-learning
• machine-learning
• linear-algebra
• mit

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

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

Bartosz Milewski's 'Category Theory for Programmers' unofficial PDF and LaTeX source

• haskell
• category-theory
• functional-programming
• pdf

An open access book on scientific visualization using python and matplotlib

• python
• matplotlib
• dataviz
• scientific-publications

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

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

Main Web Site (Online Books)

• book
• raytracing
• ray-tracing
• markdeep

A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems", which is `dmls-book`

• data-science
• machine-learning-production
• mlops

The Concise TypeScript Book: A Concise Guide to Effective Development in TypeScript. Free and Open Source.

• book
• learn-typescript
• typescript
• typescript-book

Lisp code for the textbook "Paradigms of Artificial Intelligence Programming"