nnue-pytorch
chessx
| nnue-pytorch | chessx | |
|---|---|---|
| 14 | 1 | |
| 283 | 117 | |
| 3.5% | - | |
| 6.3 | 6.6 | |
| about 1 month ago | 28 days ago | |
| C++ | C++ | |
| GNU General Public License v3.0 only | GNU General Public License v3.0 only |
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nnue-pytorch
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Are Super-GMs far more cautious in opening choice than they were even ten years ago?
There's extremely detailed information on how Stockfish's neural network evaluation works, but none of this will tell you the why of why the engines' assessment changed: https://github.com/glinscott/nnue-pytorch/blob/master/docs/nnue.md
- Why are people using bitboards for chess input?
- Resources for learning and implementing a NNUE for a chess engine?
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I am the first author of Stockfish. Ask me anything.
If you want a readable explanation of all the details, this document is phenomenal.
- What's a simple engine to modify? (Preferably in Python)
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"RL Fine-Tuning: Scalable Online Planning via Reinforcement Learning Fine-Tuning", Fickinger et al 2021 {FB}
Getting SOTA in chess would be earth-shattering, especially since Stockfish has now adopted very light-weight NNs (called NNUE) and has doubled down on alpha-beta search, regaining the upper hand against A0 style programs.
- Where would an absolute beginner to neural networks start when trying to learn how to build a NNUE evaluation function?
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Stockfish 14 Released
Stockfish NNUE is deep network. You can find out more about it's architecture and internal working here:
https://github.com/glinscott/nnue-pytorch/blob/master/docs/n...
It's pretty interesting read.
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Official release version of Stockfish 14
[0] https://tests.stockfishchess.org/tests/view/60dae5363beab81350aca077 [1] https://nextchessmove.com/dev-builds [2] https://stockfishchess.org/blog/2021/stockfish-13/ [3] https://lczero.org/blog/2021/06/the-importance-of-open-data/ [4] https://github.com/official-stockfish/Stockfish/commit/e8d64af1 [5] https://github.com/glinscott/nnue-pytorch/ [6] https://stockfishchess.org/get-involved/
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How do Neural Networks work?
https://github.com/glinscott/nnue-pytorch/blob/master/docs/nnue.md There is some info there.
chessx
What are some alternatives?
Ceres - Ceres - an MCTS chess engine for research and recreation
Fairy-Stockfish - chess variant engine supporting Xiangqi, Shogi, Janggi, Makruk, S-Chess, Crazyhouse, Bughouse, and many more
Stockfish - A free and strong UCI chess engine
cutechess - Cute Chess is a graphical user interface, command-line interface and a library for playing chess.
KataGo - GTP engine and self-play learning in Go
Gigantua - Gigantua: Single Threaded - 2 Billion Moves/s Chess position enumerator
irwin - irwin - the protector of lichess from all chess players villainous
stockfish.wasm - WebAssembly port of the strong chess engine Stockfish
Koivisto - UCI Chess engine
fishtest - The Stockfish testing framework
lc0 - The rewritten engine, originally for tensorflow. Now all other backends have been ported here.
Ethereal - Ethereal, a UCI Chess Engine by Andrew Grant