deep_learning_and_the_game_of_go VS GeneticAlgorithmPython

A good book I found is https://www.manning.com/books/deep-learning-and-the-game-of-go

If you want to understand how the new approach used by Leela Zero and Alpha Zero works, the book Deep Learning and the Game of Go is fun and easy to read. Although it's about Go rather than chess, most of the contents are equally relevant to chess.

One of the first hits pointed me to this github repo: https://github.com/maxpumperla/deep_learning_and_the_game_of_go

Docs: https://pygad.readthedocs.io

Depending on how complex you want this system, you could look at how live stock breeding is modelled. For example https://github.com/ahmedfgad/GeneticAlgorithmPython

PyGAD is

My pleasure! I'm assuming you're working in Python, so this repo looks like it could be promising (disclaimer: I haven't used it).

The user can use the tqdm library to show a progress bar. https://github.com/ahmedfgad/GeneticAlgorithmPython/discussions/50

Thanks for mentioning PyGAD. OP Please reach out in case any help is needed to get started with PyGAD: https://pygad.readthedocs.io

PyGAD is an open-sources Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

You can find more in the documentation: https://pygad.readthedocs.io

The code examples in this r/Paperspace tutorial are implemented in Python using the PyGAD library.

PyGAD, a Python library for building the genetic algorithm, played CoinTex and was able to pass a complex level with 2 monsters moving randomly and some thrown fires.