ELEP 0.0.2

Ensemble Learning for Earthquake Processing

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 · Report Bug · Request Feature

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
  

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Features

This toolkit contains the following features:

1. It provides broadband and multiband prediction workflows.
2. It provides three ensemble estimation or combination approaches.
3. It provides GPU-supported batch predictions on avilable datasets.
4. It supports parallel predictions for real-time earthquake monitoring.
5. It possess a good generalization capability.

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Demo

Please see the notebooks under the folder tutorials for more details.

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Citation

Yuan, C., Ni, Y., Lin, Y., Denolle, M., Ensemble Learning for Earthquake Detection and Phase Picking, 2023, in preparation.

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Contact

Congcong Yuan - [e-mail]

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