Python 3 code for my new book series Probabilistic Machine Learning. This is work in progress, so expect rough edges.

The scripts directory contains python files to generate individual figures from vol 1 and vol 2 of the book. To manually execute an individual script from the command line, follow this example:

cd pyprobml
python3 scripts/softmax_plot.py 

This will save files to the pyprobml/figures directory.

To browse the code using VScode instead of the gihub file viewer, you can just replace https://github.com/probml/pyprobml/tree/master/scripts with https://github1s.com/probml/pyprobml/tree/master/scripts (see this tweet). The output should look like this:

The notebooks directory contains various examples that illustrate concepts and/or generate figures from vol 1 and vol 2 of the book. In addition, we automatically combine all the figure scripts into a single notebook per chapter. These are stored here.

When you open a notebook, there will be a button at the top that says 'Open in colab'. If you click on this, it will start a virtual machine (VM) instance on Google Cloud Platform (GCP), running Colab. This has most of the libraries you will need (e.g., scikit-learn, JAX) pre-installed, and gives you access to a free GPU. See this tutorial for details on how to use Colab.

See this guide for how to contribute code.

I would like to thank the following people for contributing to the code (list autogenerated from this page):

murphyk	mjsML	ashishpapanai	Drishttii	Duane321	gerdm	animesh-007	Nirzu97	always-newbie161	karalleyna	nappaillav	jdf22	shivaditya-meduri	Neoanarika	andrewnc	Abdelrahman350	Garvit9000c	kzymgch	alen1010	adamnemecek	galv	krasserm	nealmcb	petercerno	Prahitha	khanshehjad	hieuza	jlh2018	mvervuurt	TripleTop