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 ;)

Neural Networks: Zero to Hero

💿 Free software that works great, and also happens to be open-source Python.

Companion webpage to the book "Mathematics For Machine Learning"

A course in reinforcement learning in the wild

Create delightful software with Jupyter Notebooks

Language-Agnostic SEntence Representations

The fast.ai course notebooks

🪼 a python library for doing approximate and phonetic matching of strings.

Deep Learning tutorials in jupyter notebooks.

Demo of running NNs across different frameworks

A simple Python data-structure visualization tool for lists of lists, lists, dictionaries; primarily for use in Jupyter notebooks / presentations

(Deprecated) Experimental PyMC interface for TensorFlow Probability. Official work on this project has been discontinued.

DeltaPy - Tabular Data Augmentation (by @firmai)

[Coursera] Reinforcement Learning Specialization by "University of Alberta" & "Alberta Machine Intelligence Institute"

Create publication-quality books from Jupyter notebooks