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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