A multi-region deep learning framework for low-frequency earthquake detection: application to the Guerrero seismic gap

The code implements a multi-region deep learning framework for detecting low-frequency earthquakes (LFEs) and includes the scripts required for data preprocessing, model training. The code is developed in Python. The required dependencies are listed in the accompanying environment or requirements file.