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.