chengwym/seismicdetection

Predict the seismic events

Task1: Design a learning method to distinguish Earthquake events from Glacial events or vice versa using the provided 2d image-like data.

Task2: Design a method to determine the source location, depth, and other source parameters from the given datasets.

Task3: Categorize the events and maybe learn some new patterns other than glacial events.

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├── README.md
├── clustering.py
├── config
│   ├── config.py
│   └── constant.py
├── data
│   ├── earthquakes_catalog.txt
│   ├── glacial_catalog.txt
│   └── stations_full.txt
├── data_loader
│   ├── dataloader_classifier.py
│   └── dataloader_regression.py
├── doc
│   └── report.pdf
├── eval.sh
├── models
│   ├── init.py
│   ├── alexnet.py
│   └── vgg16.py
├── supervised_predict.py
├── supervised_train.py
├── train.sh
├── unsupervised_train.py
└── utils
│ ├── iter.py
│ ├── parse_catalog.py
│ ├── preprocess.py
│ └── tools.py

6 directories, 26 files

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$ git clone https://github.com/chengwym/SeismicDetection.git
$ sh train.sh