The most cited deep learning papers

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

Classical equations and diagrams in machine learning

A modern LaTeX Beamer theme

A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.

Pen and paper exercises in machine learning

Advanced R: a book

A Survey of Reinforcement Learning for Large Reasoning Models

📙 The probability and statistics cookbook

Bayesian Data Analysis course at Aalto

Repo for Yale Applied Empirical Methods PHD Course

minted is a LaTeX package that provides syntax highlighting using the Pygments library. Highlighted source code can be customized using fancyvrb.

Code repository for Think Bayes.

📕 Clarity in the current fast-paced mess of Open Source innovation

Course notes for CS224N Winter17

A book about compiling Racket and Python to x86-64 assembly

A fresh implementation of Common Lisp

Using Git and GitHub with R, Rstudio, and R Markdown

The Dao of Functional Programming

Build Systems à la Carte

Minimalist alternatives to "best practices" paper

Source files for "Lectures in Quantitative Economics" -- Julia version

An Introduction to Statistical Inference and Regression

Drawing graphical models for causal inference using LaTeX

chapters of a book Hogg will never write

Riemann Hypothesis book

Some notes about MCMC

Repository for all lecture notes, code, and data relating to the Stan workshop at FGME 2017 in Tuebingen, Germany.