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TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
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 ;)
Python programs, usually short, of considerable difficulty, to perfect particular skills.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Automatic extraction of relevant features from time series:
Image restoration with neural networks but without learning.
An adversarial example library for constructing attacks, building defenses, and benchmarking both
Real numbers, data science and chaos: How to fit any dataset with a single parameter
Lectures from the Machine Learning course