A free audio dataset of spoken digits. Think MNIST for audio.

Simple, online, and realtime tracking of multiple objects in a video sequence.

Anatomy of Matplotlib -- tutorial developed for the SciPy conference

Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison

Feature exploration for supervised learning

This is an attempt to modify Dive into Deep Learning, Berkeley STAT 157 (Spring 2019) textbook's code into PyTorch.

Original Apollo 11 Guidance Computer (AGC) source code for the command and lunar modules.

Compression algorithms (like the well-known zip file compression) can be used for machine learning purposes, specifically for classifying hand-written digits (MNIST)

A Harder ImageNet Test Set

PyTorch Tutorial for Deep Learning Researchers

PyTorch 101 series covering everything from the basic building blocks all the way to building custom architectures.

this repository accompanies my forthcoming book "Grokking Deep Learning"

XLNet: Generalized Autoregressive Pretraining for Language Understanding

Reading list for research topics in multimodal machine learning

Presented at Scipy Conference 2019

Monocular depth estimation from a single image

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

My projects for fast.ai's Deep Learning from the Foundations course

Official Code for Invertible Residual Networks

A collection of various deep learning architectures, models, and tips

Repository of code for the NAACL tutorial on Transfer Learning in NLP

Reference models and tools for Cloud TPUs.

VIP cheatsheets for Stanford's CS 221 Artificial Intelligence

Pytorch implementation of Augmented Neural ODEs 🌻

Code for SplitNet paper