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 ;)

Companion webpage to the book "Mathematics For Machine Learning"

Kubernetes community content

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

A course in reinforcement learning in the wild

TensorFlow Basic Tutorial Labs

Probabilistic reasoning and statistical analysis in TensorFlow

line drawing colorization using chainer

Scenarios, tutorials and demos for Autonomous Driving

Tutorials and implementations for "Self-normalizing networks"

Tensorflow tutorial for various Deep Neural Network visualization techniques

COMS W4995 Applied Machine Learning - Spring 18