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Seismic S-wave arrival time prediction using deep learning algorithm

Basic Information:

This project aims to develop a machine learning algorithm that can predict (1) the seismic S-wave arrival time and (2) can classify the wave types, either seismic or noise, based on fixed-sized signal/noise.

Codes and Libraies

In this project I used python 3.8. The following libraries are also required:

  • NumPy
  • Pandas
  • matplotlib
  • scikit-learn
  • Pytorch
  • Tensorflow
  • Cuda

    Datasets

    Datasets are not included in this project due to size. Please email me sabbers@gmail.com if you need the datasets.

    Contributors

    Me and Eric daub worked on the project.

    License

    MIT