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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 ;)
Python programs, usually short, of considerable difficulty, to perfect particular skills.
A python library for decision tree visualization and model interpretation.
A collection of work related to COVID-19
Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
A C++ monorepo for discrete and continuous optimization. Batteries included!