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