stockfish
Integrates the Stockfish chess engine with Python (by zhelyabuzhsky)
maia-chess
Maia is a human-like neural network chess engine trained on millions of human games. (by CSSLab)
stockfish | maia-chess | |
---|---|---|
3 | 97 | |
258 | 894 | |
- | 1.8% | |
0.0 | 1.6 | |
3 months ago | 10 months ago | |
Python | Python | |
MIT License | GNU General Public License v3.0 only |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
stockfish
Posts with mentions or reviews of stockfish.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-01-03.
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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.
maia-chess
Posts with mentions or reviews of maia-chess.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-01-06.
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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.
What are some alternatives?
When comparing stockfish and maia-chess you can also consider the following projects:
sunfish - Sunfish: a Python Chess Engine in 111 lines of code
Stockfish - UCI chess engine