A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

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 ;)

[ICCV 2019] Monocular depth estimation from a single image

Lectures on scientific computing with python, as IPython notebooks.

Deep Learning tutorials in jupyter notebooks.

LSTM trained on the first five ASOIAF/GOT books

[UNMAINTAINED] p5.js in the Classic Jupyter Notebook with Jupyter Widgets

A project to generate haikus with recurrent neural networks while enforcing the 5-7-5 syllable structure