The repository contains сode for ML and DL used in paper - TBA.

• notebooks - contains scripts (jupyter notebooks) for training and testing algoritms
• utils - contains defenition of DL models and useful functions for data processing

1. Install poetry

2. Install deps:

poetry install

python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements_mac_arm.txt

The dataset should be in the root of the repository in the ./data folder

On Linux:

poetry run jupyter-notebook notebooks

On MacOS:

jupyter-notebook notebooks