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ELEP


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ELEP

An ensemble-learning based toolkit for seismologists to make the best pick on earthquake phases by combining multiple predictions into the one.


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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==0.0.2

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Features

workflow

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. 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

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Contact

Congcong Yuan - [email protected]

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Ensemble Learning for Earthquake Processing

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