The most cited deep learning papers

A technical report on convolution arithmetic in the context of deep learning

Classical equations and diagrams in machine learning

Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"

The book "Performance Analysis and Tuning on Modern CPU"

List of articles related to deep learning applied to music

The LaTeX2e kernel

Course notes for CS224N Winter17

Advice for writing LaTeX documents

ACM consolidated LaTeX styles

Low-Level Software Security for Compiler Developers

Repository of my thesis "Understanding Random Forests"

Build Systems à la Carte

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

Materials for Bayesian Methods in Machine Learning Course

My notes from class

review of Deep Learning for Nature

My course project for CSC 2541. The project topic is Intrinsically Motivated Reinforcement Learning. This is a work in progress.

Introduction to applied statistics and regression

Assignment templates, etc.