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 [![Licence](https://www.gnu.org/graphics/lgplv3-88x31.png)](https://www.gnu.org/licenses/lgpl.html)
 [![codecov](https://codecov.io/gh/dasdae/das-anomaly/branch/main/graph/badge.svg)](https://codecov.io/gh/dasdae/das-anomaly)
 
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 _das-anomaly_ is an open-source Python package for unsupervised anomaly detection in distributed acoustic sensing (DAS) datasets using an autoencoder-based deep learning algorithm. It is being developed by Ahmad Tourei under the supervision of Dr. Eileen R. Martin at Colorado School of Mines. 
 
 If you use _das-anomaly_ in your work, please cite the following:
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