ml-toolkit

This package is for me to have a central and standardized library for designing experiments and collecting data.

Installation

1. create a virtual environment using python 3.10
2. run pip install -r requirements.txt from the project root directory
3. execute the code by calling python -m ml_toolkit
   • run with --help to see your options
4. (optional) run pip install -e . in the project root directory
   • this allows you to execute the code by just calling mltoolkit when your virtual environment is enabled

Configuration Files

Browse the configuration files directory to get an overview of the available models and how to train them