Ensemble Learning for Earthquake Processing
Project description
ELEP
ELEP
A ensemble-learning based toolkit for seismologists to make the best pick on earthquake phases by combining multiple predictions into the one.
Tutorials
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Prerequisites & installations
- create a new environment using Anaconda
>>> conda create --name myenv
- install Seisbench
>>> pip install seisbench
- install other packages
>>> pip install jupyter mpi4py
- install our toolkit (under development)
>>> pip install ELEP
Features
This toolkit contains the following features:
- It provides broadband and multiband prediction workflows.
- It provides three ensemble estimation or combination approaches.
- It provides GPU-supported batch predictions on avilable datasets.
- It supports parallel predictions for real-time earthquake monitoring.
- It possess a good generalization capability.
Demo
Please see the notebooks under the folder tutorials
for more details.
Citation
Yuan, C., Ni, Y., Lin, Y., Denolle, M., Ensemble Learning for Earthquake Detection and Phase Picking, 2023, in preparation.
Contact
Congcong Yuan - cyuan@g.harvard.edu
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