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At some moment I realized that my knowledge in ML is very limited, and ideas are poor. I know a couple of dozen models and this is a very small part of the total amount that can be very useful to me.

It seemed to me that if I will understand more models, my qualities as a researcher would certainly increase. This idea strongly motivated me to start meticulously studying articles from the conference.

I had no wish to represent dependencies as a table or a list, I wanted something more natural. A little thought, I realized that to have a strictly fixed graph, with edges between models and their components is interesting. Work in progress, but I believe, together we can do it much better!