The most cited deep learning papers

Bootstrap yourself to write an OS from scratch. A book for self-learner.

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

Book of Elementary Functional Algorithms and Data structures

VimTeX: A modern Vim and neovim filetype plugin for LaTeX files.

A high-speed network driver written in C, Rust, C++, Go, C#, Java, OCaml, Haskell, Swift, Javascript, and Python

A textbook on informal homotopy type theory

A free book: "The Science of Functional Programming"

This note presents in a technical though hopefully pedagogical way the three most common forms of neural network architectures: Feedforward, Convolutional and Recurrent.

🚀 Starter templates for Obsidian.md

A Course in Machine Learning

Examples using emacs org mode babel inline source code with different backend languages

LaTeX code for some of my lecture notes

[ARCHIVED] Moved to https://docs.ipfs.io — papers to read to understand IPFS

Selective Applicative Functors: Declare Your Effects Statically, Select Which to Execute Dynamically

A repository for pandoc templates. Geared for Obsidian.

being the scrapings of my stackoverflow answers

A LaTeX package for formatting meta-theory.

A talk on parametricity

Seminar paper about hardware caches and how to use them effectively

This is a pre-made Obsidian.md vault with templates and plugins.

the millions of gestures that constitute life on earth

A McCord Functor for Alexandroff Categories

Adpated demo vault to support learning a workflow incorporating Obsidian and Zotero