Code material for AI experiments with Magoh's contributions

This documentation enables to understand all the content of this repository and how to handle it to go further in experimenting AI models to imitate the contributors of the Magoh app.

Run some code

See the Installation section to reproduce all the development environment to run the experiments.

Once the environment is set, you can compose, train and evaluate the models in following the How-to pages.

To understand how the repository has been structured and the software architecture opinions, see the Explanation section. A reference of the Python classes is also reachable in this section.

About the project

All the acquired knowledge about the data is described in the references directory of the repository.

The current caveats in the code and its initially wanted, but incomplete features are reported in this section.