yews 0.0.4

Deep Learning toolbox for seismic waveform processing.

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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.

Installation

It is recommened to first install PyTorch using the offical guide: https://pytorch.org/get-started/locally/ . Then, install Yews via one of the following approaches:

conda:

conda install -c lijunzhu -c pytorch yews

pip:

pip install yews

From source:

python setup.py install

Note:

1. These assume that you have PyTorch installed via the default method.

2. If, however, yews is installed without going through the official PyTorch installation, it will still be installed properly using the pip method

3. The lateset PyTorch 1.0.1 has been manually uploaded to lijunzhu channel on anaconda cloud, which makes it possible to install PyTorch automatically as a dependency using the conda method. However, it does not support older PyTorch versions for now. Future updates of PyTorch will be added ASAP.

4. Yews can be installed via conda-forge with all dependencies handled automatically; however, it only supports the CPU version as PyTorch does not have a GPU version for the conda-forge channel.

Documentation

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

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.