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DeepAID: Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications https://github.com/dongtsi/DeepAID

Time-Series Aware Precision and Recall for Anomaly Detection: Considering Variety of Detection Result and Addressing Ambiguous Labeling https://github.com/saurf4ng/eTaPR

FluxEV: A Fast and Effective Unsupervised Framework for Time-Series Anomaly Detection https://github.com/jlidw/FluxEV

Practical Approach to Asynchronous Multivariate Time Series Anomaly Detection and Localization https://github.com/eBay/RANSynCoders

tsam Time series aggregation module (tsam). Determines typical operation periods or dereases the temporal resolution

ADRepository: Real-world anomaly detection datasets, including tabular data (categorical and numerical data), time series data, graph data, image data, and video data.

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DeepAID, eTaPR, FluxEV added.

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RANSynCoders paper added.

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tsam added.

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ADRepository added.