aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

The fastai deep learning library

An adversarial example library for constructing attacks, building defenses, and benchmarking both

From the basics to slightly more interesting applications of Tensorflow

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

A collection of miscellaneous thoughts that aren't on my blog.

Ways of doing Data Science Engineering and Machine Learning in R and Python

ASAP: Prioritizing Attention via Time Series Smoothing