Author (Connor McMonigle):
I've spent a good chunk of my free time this summer writing a chess engine in C++ It should, hopefully, play at around 2900-3000 elo if AVX2 extensions are available (around 300-400 knps should be expected with AVX2). It uses a custom NNUE implementation with training code written in PyTorch and inference code relying on OpenMP SIMD for auto vectorization.
I've spent a good chunk of my free time this summer writing a chess engine in C++ It should, hopefully, play at around 2900-3000 elo if AVX2 extensions are available (around 300-400 knps should be expected with AVX2). It uses a custom NNUE implementation with training code written in PyTorch and inference code relying on OpenMP SIMD for auto vectorization.
Seer 1.0 download
All files (games, tables and engines) - download from page
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