Seismology has witnessed significant advancements in recent years with the application of deep learning methods to address a broad range of problems. These techniques have demonstrated their remarkable ability to effectively extract statistical properties from extensive datasets, surpassing the capabilities of traditional approaches to an extent. In this workshop we aim to demonstrate the use of Python Packages SAIPy and its extension on HR-GNSS data for the benefit of seismologists and interested geophysicists.
SAIPy is an open-source python library where we strive to combine our previously published models into an automated pipeline for monitoring continuous seismic data so that it can be easily implemented by seismologists.
