Hi All!
Wanted to introduce myself by sharing something with the community. I made 3 NNUE nets for Cfish/Stockfish, all made from human games. The idea here is to allow the neural network to learn from <1200, <1600, and >2300 elo games and hopefully learn a human style from that.
I was initially a fan of the Maia nets; but i've found that it had endgame and tactical problems. These NNUE-style nets, with the help of stockfish search, should help address those limitations.
I would love for the community to give it a whirl and share some feedback!
If you want the nnue files, you can get them here:
https://github.com/kennyfrc/nnue-networks/releases/tag/early-release. This is best enjoyed with the pure=yes and nnue=yes settings in Cfish.
One extra thing with the Lichess bots is that I've also added "dynamic nps" to my Cfish port, which means it has lower nps when time is low. Hopefully this simulates the blunders that might happen on low time controls. The average nps is about 200k.
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https://lichess.org/@/nnuehuman1200 (trained from 60m <1200 elo positions - lichess data)
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https://lichess.org/@/nnuehuman1500 (trained from 60m <1500 elo positions - lichess data)
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https://lichess.org/@/nnuehuman2400 (trained from 120m >2300 elo positions - kingbase data)