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[ascl:2010.012] Astronomaly: Flexible framework for anomaly detection in astronomy

Astronomaly actively detects anomalies in astronomical data. A python back-end runs anomaly detection based on machine learning; a JavaScript front-end provides data viewing and labeling. The package works on many common astronomy data types, including one-dimensional data and images, and offering extendable techniques for preprocessing, feature extraction, and machine learning.

Code site:
https://github.com/MichelleLochner/astronomaly
Used in:
https://ui.adsabs.harvard.edu/abs/2020MNRAS.498.3077W
Described in:
https://ui.adsabs.harvard.edu/abs/2020arXiv201011202L
Bibcode:
2020ascl.soft10012L

Views: 165

ascl:2010.012
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