Software Design by Example: a tool-based introduction with Python

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"

Open Machine Learning Course

scikit-learn: machine learning in Python

Apache Superset is a Data Visualization and Data Exploration Platform

Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs,…

The fast.ai course notebooks

Code for the paper "Language Models are Unsupervised Multitask Learners"

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

Notebooks for the O'Reilly book "Learning Ray"

Code files for the book "Modern Data Visualization in R"

The fastai book, published as Jupyter Notebooks

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

Dive into Deep Learning (D2L book)

Discussion and and code examples for the book Hands-on Scala Programming

This is the official upstream of the Subsurface divelog program

Hackers' Guide to Language Models

A tiling window manager for macOS based on binary space partitioning

Scaling Python Machine Learning

Simple hotkey daemon for macOS

Convolutions for Sequence Modeling