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Deep Learning toolbox for seismic waveform processing.

Project description

Yews Logo

Yews is a deep learning toolbox for processing seismic waveform made with flexibility, speed, and usability in mind. It is built upon PyTorch for researchers interested in applying deep learning techniques on seismic waveform data.

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Installation

To ensure the GPU-powered PyTorch , first isntall PyTorch using the offical guide: https://pytorch.org/get-started/locally/ and then install Yews via one of the following approaches:

conda:

conda install -c lijunzhu -c pytorch yews

conda-forge:

conda install -c conda-forge yews

pip:

pip install yews

From source:

python setup.py install

Note:

  1. Running the above command without first installing PyTorch may still work. Depending on the OS, you may get either the GPU or CPU version of PyTorch. For example, MacOS currently will get the CPU Pytorch while Linux will get the GPU PyTorch by default. Please refer to https://pytorch.org/get-started/locally/ for details.

  2. yews by itself is noarch, which means it is pure Python and OS independent. Most inconsistenciews between OS’s are primarily due to the upstream difference (e.g. PyTorch and NumPy).

  3. obspy is an optional dependency, which is used for seismic waveform I/O; however, yews’s core functionalities do not depend on obspy.

  4. You can install all yews optional dependencies via pip install yews[all].

  5. Below are the instructions to each optional dependencies to install them separately in conda.

    Dependency Instructions
    obspy conda install -c conda-forge obspy
    scipy conda install scipy
    tqdm conda install tqdm

Documentation

You can find the API documentation on the yews website: https://www.yews.info/docs/

Contributing

We appreciate all contributions. If you are planning to contribute back bug-fixes, please do so without any further discussion. If you plan to contribute new features, utility functions or extensions, please first open an issue and discuss the feature with us.

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