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Merge branch 'main' of https://github.com/xuhongzuo/DeepOD

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xuhongzuo 2023-09-06 18:28:08 +08:00
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@ -18,7 +18,8 @@ Python Deep Outlier/Anomaly Detection (DeepOD)
and `Anomaly Detection <https://en.wikipedia.org/wiki/Anomaly_detection>`_. ``DeepOD`` supports tabular anomaly detection and time-series anomaly detection.
DeepOD includes **25** deep outlier detection / anomaly detection algorithms (in unsupervised/weakly-supervised paradigm). More baseline algorithms will be included later.
DeepOD includes **25** deep outlier detection / anomaly detection algorithms (in unsupervised/weakly-supervised paradigm).
More baseline algorithms will be included later.
@ -183,8 +184,8 @@ Implemented Models
:header: "Model", "Venue", "Year", "Type", "Title"
:widths: 4, 4, 4, 8, 20
TimesNet, ICLR, 2023, unsupervised, TIMESNET: Temporal 2D-Variation Modeling for General Time Series Analysis
AnomalyTransformer, ICLR, 2022, unsupervised, Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy
TimesNet, ICLR, 2023, unsupervised, TIMESNET: Temporal 2D-Variation Modeling for General Time Series Analysis [#Wu2023timesnet]_
AnomalyTransformer, ICLR, 2022, unsupervised, Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy [#Xu2022transformer]_
TranAD, VLDB, 2022, unsupervised, TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data
COUTA, arXiv, 2022, unsupervised, Calibrated One-class Classification for Unsupervised Time Series Anomaly Detection
USAD, KDD, 2020, unsupervised, USAD: UnSupervised Anomaly Detection on Multivariate Time Series
@ -240,3 +241,7 @@ Reference
.. [#Bergman2020GOAD] Bergman, Liron, and Yedid Hoshen. "Classification-Based Anomaly Detection for General Data". ICLR. 2020.
.. [#Qiu2021Neutral] Qiu, Chen, et al. "Neural Transformation Learning for Deep Anomaly Detection Beyond Images". ICML. 2021.
.. [#Xu2022transformer] Xu Jiehui, et al. "Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy". ICLR, 2022.
.. [#Wu2023timesnet] Wu Haixu, et al. "TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis". ICLR. 2023.