a chess engine made with python, tensorflow, and python-chess
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Table of Contents
- python
- python-chess
- tensorflow
What you need to get started
- python3 (tested on 3.11.5)
python3 --version
- Clone the repo.
git clone https://github.com/d3finit/chess-engine.git
- Navigate to the repository folder.
cd Chess-Engine
- Install the required libraries
Depending on your configuration the command
pip install -r requirements.txt
may be necessary to install the libraries.python3 -m pip install -r requirements.txt
Use
python3 main.py -matesd <number> -materialsd <number> [-sf]
to start the engine.
For more examples, please refer to the Documentation
- Increase the model size
- Optimize the code
- Make GitHub wiki
- Usage
- Document how the code works
- Add SAN parsing
See the open issues for a full list of proposed features (and known issues).
Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.
If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingFeature
) - Commit your Changes (
git commit -m 'Add some AmazingFeature'
) - Push to the Branch (
git push origin feature/AmazingFeature
) - Open a Pull Request
Distributed under the GNU GPL v3 License. See LICENSE.txt
for more information.
Project Link: https://github.com/d3finit/chess-engine