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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 <https://github.com/pytorch/pytorch>
_ for researchers interested in
applying deep learning techniques on seismic waveform data.
.. image:: https://travis-ci.org/yewsg/yews.svg?branch=master :target: https://travis-ci.org/yewsg/yews
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.. image:: https://anaconda.org/lijunzhu/yews/badges/version.svg :target: https://anaconda.org/lijunzhu/yews
.. image:: https://badge.fury.io/py/yews.svg :target: https://badge.fury.io/py/yews
.. image:: https://pepy.tech/badge/yews :target: https://pepy.tech/project/yews
To ensure the GPU-powered PyTorch <https://github.com/pytorch/pytorch>
,
first isntall PyTorch using the offical guide:
https://pytorch.org/get-started/locally/ and then install
Yews <https://github.com/lijunzh/yews>
via one of the following approaches:
conda:
.. code:: bash
conda install -c lijunzhu -c pytorch yews
conda-forge:
.. code:: bash
conda install -c conda-forge yews
pip:
.. code:: bash
pip install yews
From source:
.. code:: bash
python setup.py install
Note:
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.
yews
by itself is noarch
, which means it is pure Python and OSindependent. Most inconsistenciews between OS's are primarily due to the upstream difference (e.g. PyTorch and NumPy).
obspy
is an optional dependency, which is used for seismic waveform I/O;however, yews
's core functionalities do not depend on obspy
.
yews
optional dependencies viapip install yews[all]
.
separately in conda
.
========== ======================================
Dependency Instructions
========== ======================================
obspy
conda install -c conda-forge obspy
scipy
conda install scipy
tqdm
conda install tqdm
========== ======================================
You can find the API documentation on the yews website: https://www.yews.info/docs/
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.