A machine translation reading list maintained by Tsinghua Natural Language Processing Group - THUNLP-MT/MT-Reading-List

Haskell 101 and 102: slides and codelabs. Contribute to google/haskell-trainings development by creating an account on GitHub.

Latex code for making neural networks diagrams. Contribute to HarisIqbal88/PlotNeuralNet development by creating an account on GitHub.

Game Engine Black Book: Doom. Contribute to fabiensanglard/gebbdoom development by creating an account on GitHub.

The Data Engineering Cookbook. Contribute to andkret/Cookbook development by creating an account on GitHub.

:page_facing_up: Awesome CV is LaTeX template for your outstanding job application - posquit0/Awesome-CV

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

STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020) - rasbt/stat453-deep-learning-ss20

Classical equations and diagrams in machine learning - soulmachine/machine-learning-cheat-sheet

Bayesian Data Analysis course at Aalto. Contribute to avehtari/BDA_course_Aalto development by creating an account on GitHub.

Complete collection of my PGF/TikZ figures. Contribute to PetarV-/TikZ development by creating an account on GitHub.

Book repository for The Turing Way: a how to guide for reproducible, ethical and collaborative data science - the-turing-way/the-turing-way

Repo for Yale Applied Empirical Methods PHD Course - paulgp/applied-methods-phd

A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between. - aaronwangy/Data-Science-Cheatsheet

The Linux Kernel Module Programming Guide (updated for 5.0+ kernels) - sysprog21/lkmpg