Ma-Lab-Berkeley/deep-representation-learning-book

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

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

Repository for the book Grokking Machine Learning, by Manning Editors

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

Sutskever 30 implementations inspired by https://papercode.vercel.app/ | For Agents, use https://github.com/pageman/Sutskever-Agent | Polyglot / Multi-Backed version at https://github.com/pageman/sutskever-30-beyond-numpy

The code from the Machine Learning Bookcamp book

The fastai book, published as Jupyter Notebooks

A collection of machine learning examples and tutorials.

Code / solutions for Mathematics for Machine Learning (MML Book)