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ahmadtourei merged 1 commit into from
Dec 10, 2025
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4 changes: 4 additions & 0 deletions README.md
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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)

<p align="center">
<img src="docs/figures/logo_v1.png" alt="Logo" width="300">
</p>

_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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