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 ;)

The fastai book, published as Jupyter Notebooks

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

Collection of notebooks about quantitative finance, with interactive python code.

Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.

Solutions of Reinforcement Learning, An Introduction

Official repository for "AM-RADIO: Reduce All Domains Into One"

solved exercises during the Bayesian Filtering and Smoothing course