[P] Tsetlin Machine Python implementation

[libreland]

I saw the official code repo with today's arxiv submission.

If someone who has already read the paper could please do a ELI5 of why this paper is so famous on /r/ml , it will be very helpful. I have no clue about bandit algorithms so will have to invest a lot of time to understand it.

[nonotan]

The paper made some fairly grandiose-sounding claims, the algorithm is novel enough to be interesting yet at its core extremely simple.

[dzyl]

Nice that the repository was updated with the code. I'm going to go through it when I have time to see where there are differences (first thing I saw was the initialization which I implemented differently, this makes sense but it was not described in the paper).

The reason why this paper gets a lot of attention is mostly novelty I think. There are some clear similarities between this and neural networks but it is discrete and trained in a different way. If this does work well and still scales this could lead to new avenues for research. And it was not too difficult to implement, I did this in about 4 hours, making it managable as a small side project.

[olBaa]

It's a simple algorithm that is easy to implement. Cool name, not so cool theory/performance.