An 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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- 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==0.0.2
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.
Please see the notebooks under the folder tutorials
for more details.
Yuan, C., Ni, Y., Lin, Y. and Denolle, M. (2023) Better Together: Ensemble Learning for Earthquake Detection and Phase Picking. IEEE Transactions on Geoscience and Remote Sensing. 10.1109/TGRS.2023.3320148
Congcong Yuan - [email protected]