chessai | A self-learning chess artificial intelligence | Artificial Intelligence library

 by   JHurricane96 Python Version: Current License: No License

kandi X-RAY | chessai Summary

kandi X-RAY | chessai Summary

chessai is a Python library typically used in Institutions, Learning, Education, Artificial Intelligence, Deep Learning, Tensorflow applications. chessai has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

A self-learning chess artificial intelligence
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            kandi-support Support

              chessai has a low active ecosystem.
              It has 5 star(s) with 2 fork(s). There are 2 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              chessai has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of chessai is current.

            kandi-Quality Quality

              chessai has no bugs reported.

            kandi-Security Security

              chessai has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              chessai does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              chessai releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              Installation instructions are available. Examples and code snippets are not available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed chessai and discovered the below as its top functions. This is intended to give you an instant insight into chessai implemented functionality, and help decide if they suit your requirements.
            • Learn the parameters of the optimizer
            • Find the features of a piece
            • Return the best possible position for a given board
            • Abort an algoax
            • Evaluate a piece
            • Implementation of MPT
            • Display a human move
            • Pretty print a board
            • Write weights to file
            • Handle AIK move
            • Selects a move from the given board
            • Make a move
            • Print a move
            • Clear screen
            • Set weights and final positions
            • Clears the table
            • Closes the weights file
            • Returns tuple of weights
            Get all kandi verified functions for this library.

            chessai Key Features

            No Key Features are available at this moment for chessai.

            chessai Examples and Code Snippets

            No Code Snippets are available at this moment for chessai.

            Community Discussions

            QUESTION

            Move Ordering in Javascript Chess Engine chess.js
            Asked 2021-Feb-17 at 01:35

            i am by far a javascript specialist but i am trying to learn it a little.

            For the move ordering in my chess engine (i follow a tutorial), i would like to check for captures first. In the chess.js library the capture moves are listed with the flag 'c'.

            ...

            ANSWER

            Answered 2021-Feb-17 at 01:00

            Based on the documentation at https://github.com/jhlywa/chess.js/blob/master/README.md#moves-options-, the flags are not passed into moves(), but rather, are returned from moves() as an attribute associated with each legal move. Therefore, to get a list of all captures, you will need to apply a filter on the resulting array of all legal moves. Something along the following lines...

            Source https://stackoverflow.com/questions/66230687

            QUESTION

            How can I force UI updated in Swift?
            Asked 2019-May-30 at 14:30

            I am using swift to develop a chess game. When the computer is playing itself, the display does not get updated when a move completed until it is out of the loop (in this case the game is ended).

            I have tried to dispatch it in a background queue to generate a move and dispatch it back to main queue to make the move and update the display. While it seems to help updating the display, but I have no way to predict the completion of each background queue. That messes up the order of the moves.

            Is there a better way to make computer playing itself and properly update the display after each move is completed?

            ...

            ANSWER

            Answered 2019-May-29 at 05:25

            You can force display immediately (by calling displayIfNeeded), but it won't help.

            The problem is that the while loop does not pause between iterations: it just keeps looping at top speed. Thus the while loop is a poor strategy.

            Instead, use recursion. This puts control of when to do the next iteration in your hands, namely, you recurse after a delay. That is a loop where you get to pause between iterations.

            Pseudocode:

            Source https://stackoverflow.com/questions/56334321

            QUESTION

            OutOfRangeError when reading TFRecordDataset
            Asked 2019-Feb-23 at 14:39

            I am using

            ...

            ANSWER

            Answered 2019-Feb-23 at 14:39

            QUESTION

            Setting structured array field in Numba
            Asked 2018-Apr-18 at 20:07

            I would like to set an entire field of a NumPy structured scalar from within a Numba compiled nopython function. The desired_fn in the code below is a simple example of what I would like to do, and working_fn is an example of how I can currently accomplish this task.

            ...

            ANSWER

            Answered 2018-Apr-18 at 20:02

            The following works (numba 0.37):

            Source https://stackoverflow.com/questions/49907604

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install chessai

            Note: main.py and self_play.py both have MAX_DEPTH constants that can be adjusted to change the AI's strength. Increase it to increase the strength and decrease it to decrease the strength.
            Clone the repo.
            Install python and virtualenv.
            Download pypy binary.
            Run virtualenv -p <pypy binary location here> venv to set up your virtual environment.
            Run source venv/bin/activate to activate your virtual environment.
            Run pip install -r requirements.txt to install dependencies.
            Run pypy main.py to play against the AI and pypy self_play.py to watch the AI play against itself.
            Run deactivate to deactivate the virtual environment.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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