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.

A game theoretic approach to explain the output of any machine learning model.

A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.

A scikit-learn compatible neural network library that wraps PyTorch

We are building an open database of COVID-19 cases with chest X-ray or CT images.

A Haskell kernel for the Jupyter project.

Tutorial on scikit-learn and IPython for parallel machine learning

Data Hacking Project

Python package for dealing with whole slide images (.svs) for machine learning, particularly for fast prototyping. Includes patch sampling and storing using OpenSlide. Patches may be stored in LMDB…