sixu0/SeisCLIP
The code of Paper 'SeisCLIP: A seismology foundation model pre-trained by multimodal data for multipurpose seismic feature extraction'
This project helps seismologists analyze seismic data more effectively. By inputting raw seismic waveforms, it extracts meaningful features to classify seismic events (like earthquakes), pinpoint their locations, and determine their focal mechanisms. This tool is designed for geophysicists, seismologists, and researchers working with seismic monitoring and earthquake analysis.
Use this if you need a powerful tool to automatically interpret seismic waveforms for tasks like event classification and localization.
Not ideal if you are looking for a general-purpose machine learning library not specifically tailored for seismological data interpretation.
Stars
54
Forks
2
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Nov 26, 2025
Commits (30d)
0
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