Over the last few years and months, I gathered some material that I used to study reinforcement learning and deep reinforcement learning, mostly by myself, as part of my PhD formation.

Recently, I have taken an interest in graph neural networks. These are the libraries I found online to work with different types of GNN, in no particular order:

This is a Python implementation of the Dunn index, which is used to evaluate clustering results. While, officially, I followed the reference below, unnoficially, Wikipedia was a lot more helpful in this endeavour.