Notebooks

Open Source

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Free books from generous authors.

Biology

An Owner's Guide to the Human Genome: an introduction to human population genetics, variation and disease by Jonathan Pritchard

English usage

Common Errors in English Usage

Philosophy/Classics

Digital Library of Darshan Manisha (Texts on Indian Philosophy)
Open Greek and Latin Perseus Digital Library

Physics

Online course on topology in condensed matter
Feynman lectures
Electrodynamics by Phil Nelson (excellent!)
Understanding the Properties of Matter by Michael de Podesta
Entropy by John Baez
Group Theory in Physics: An Introduction with Mathematica by Balasubramanian Ananthanarayan, Souradeep Das, Amitabha Lahiri, Suhas Sheikh, Sarthak Talukdar
Lecture notes on Statistical Physics by Lydéric Bocquet
Lecture notes on Soft Matter and Interfaces by Lydéric Bocquet

Machine Learning

Interpretable Machine Learning by Christoph Molnar
Deep Learning for Molecules and Materials by Andrew D. White
Information Theory, Inference, and Learning Algorithms by David MacKay
The Elements of Statistical Learning by Trevor Hastie, Robert Tibshirani, Jerome Friedman
An Introduction to Statistical Learning by Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani
Model-Based Machine Learning by John Winn
The Little Book of Deep Learning by François Fleuret. He formatted the book for reading on smartphones—such innovative people!