senli1073/SeisT
[TGRS] SeisT: A Foundational Deep-Learning Model for Earthquake Monitoring Tasks
This tool helps seismologists and geophysicists analyze raw seismic signal data more efficiently. It takes earthquake waveform data as input and can output detailed information like earthquake detections, phase arrival times, magnitude estimates, and event locations. Researchers and monitoring station operators who need to process vast amounts of seismic data will find this beneficial.
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Use this if you need a flexible and powerful deep-learning model to automate and improve the accuracy of various earthquake monitoring tasks.
Not ideal if you're looking for a plug-and-play application without any deep learning or programming knowledge.
Stars
22
Forks
6
Language
Python
License
MIT
Category
Last pushed
Jun 10, 2025
Commits (30d)
0
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