maia-chess
stockfish
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| maia-chess | stockfish | |
|---|---|---|
| 97 | 3 | |
| 891 | 256 | |
| 3.1% | - | |
| 1.6 | 0.0 | |
| 10 months ago | 2 months ago | |
| Python | Python | |
| GNU General Public License v3.0 only | MIT License |
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maia-chess
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Grandmaster-Level Chess Without Search
This was studied with the Maia series of bots. See:
https://github.com/CSSLab/maia-chess
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Chess-GPT's Internal World Model
There is a very interesting project on this exact problem called Maia, which trains an engine based on millions of human games played on Lichess, specifically targeting varying levels of skill from 1300 to 1900 Elo. I haven't played it myself, by my understanding is that it does a much better job imitating the mistakes of human players. https://maiachess.com
- A chess terminal user interface implementation
- Interested in going to my first tournament and was wondering if there is a place where I can review players classical games around 1700 rating so I can get an idea of what is expected and their strengths?
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Scientists claim >99 percent identification rate of ChatGPT content
In general the goal of these progrms is to win, not to pretend to be human.
In chess, there is a project called Maia which aims at predicting the human move rather than the best move. Even then it blunders less than humans of a similar rating, so it can still be detected.
https://maiachess.com/
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Most human engine to play against?
Maia Chess
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Do you have to buy Maia to use it offline?
It's on GitHub, you just need an interface like Nibbler.
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Anyone know if there are chess AIs trained like chatGPT, as a move predictor instead of a move maximizer as most have been (I think)?
That's exactly what Maia Chess is designed to do. https://maiachess.com/
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Can a 2000 elo bot blunder like this?
If you wanna play a more human like bot check out Maia https://maiachess.com/
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The Q&A Megathread for new and beginner chess players
If you want to play an engine who plays a lot more like a human, you should try Maia Chess.
stockfish
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Beginner projects in Python based on Lichess API / databse?
2.) Something with this, maybe game review/scoring
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Chess vision(?) - convert between an image of a chess board & fen/pgn
Stretch goal: Solve chess images for best moves using stockfish (https://github.com/zhelyabuzhsky/stockfish).
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How can I properly optimize Stockfish? Currently, it is terrible.
According to here the default depth in that package is 2, which is way to low. You should set the depth higher either in the constructor or using set_depth.
What are some alternatives?
Stockfish - UCI chess engine
sunfish - Sunfish: a Python Chess Engine in 111 lines of code
lc0 - The rewritten engine, originally for tensorflow. Now all other backends have been ported here.
chessboard2fen - Converting real images of a chessboard to FEN codes.
Winter - UCI Chess Engine
ChessVision - Extract chess positions from photos of 2D chessboards (chess books, screenshots, etc.)
zahak - A UCI compatible chess AI in Go
pgn-tactics-generator - Generate chess puzzles / tactics from a pgn file
Stockfish - A free and strong UCI chess engine
Auto-Chess - A chess bot that automatically calculates the best moves and plays them for you
lila - ♞ lichess.org: the forever free, adless and open source chess server ♞
irwin - irwin - the protector of lichess from all chess players villainous