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@ -9,6 +9,10 @@ Python Deep Outlier/Anomaly Detection (DeepOD)
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:target: https://deepod.readthedocs.io/en/latest/?badge=latest
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:alt: Documentation Status
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.. image:: https://app.codacy.com/project/badge/Grade/2c587126aac2441abb917c032189fbe8
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:target: https://app.codacy.com/gh/xuhongzuo/DeepOD/dashboard?utm_source=gh&utm_medium=referral&utm_content=&utm_campaign=Badge_grade
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:alt: coveralls
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.. image:: https://coveralls.io/repos/github/xuhongzuo/DeepOD/badge.svg?branch=main
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:target: https://coveralls.io/github/xuhongzuo/DeepOD?branch=main
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:alt: coveralls
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@ -285,4 +289,17 @@ Reference
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.. [#Xu2023SLAD] Xu, Hongzuo et al. "Fascinating supervisory signals and where to find them: deep anomaly detection with scale learning". ICML. 2023.
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.. [#Xu2023RoSAS] Xu, Hongzuo et al. "RoSAS: Deep semi-supervised anomaly detection with contamination-resilient continuous supervision". IP&M. 2023.
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.. [#Xu2023RoSAS] Xu, Hongzuo et al. "RoSAS: Deep semi-supervised anomaly detection with contamination-resilient continuous supervision". IP&M. 2023.
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## Contributors
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<!-- ALL-CONTRIBUTORS-LIST:START - Do not remove or modify this section -->
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