Posted by codetiger 2 days ago
nano up to 16 KiB
micro up to 128 KiB
mini up to 1 MiB
small up to 8 MiB
large up to 64 MiB> model and manifest bytes together pick the class
What?
How hard is it to write something like "your weight class is determined by the total size of the model and manifest" (if I understood it correctly).
Current version both sounds very AI-sloppy and is ambiguous.
The doc page [0] is even more painful to read.
Just yesterday I published my reworked GoNEAT library that implements HyperNEAT combined with phased search and backpropagation [1].
But it's kind of impossible to enter for me because of the hard pytorch requirements :( would love to see the project as a gym, so that you can run your own ANN design algorithm.
I get that most data science students still use python, but the evolutionary world is kinda in C++ and other native languages.
Anyways, great project nonetheless.
It would help to delete all the text on the page, and write it without AI.
For example, "model and manifest bytes together pick the class; every version also plays on Open"