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 ;)

Instruct-tune LLaMA on consumer hardware

Companion webpage to the book "Mathematics For Machine Learning"

A Haskell kernel for the Jupyter project.

[RETIRED] See Voilà as a supported replacement