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The public codes and datasets of Tsinghua Netman Lab.


  1. donut Public

    WWW 2018: Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications

    Python 397 141

  2. ISSRE'20: Unsupervised Detection of Microservice Trace Anomalies through Service-Level Deep Bayesian Networks

    Python 267 59

  3. OmniAnomaly Public

    KDD 2019: Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network

    Python 434 142

  4. Squeeze Public

    ISSRE 2019: Generic and Robust Localization of Multi-Dimensional Root Cause

    Python 54 15

  5. 2018AIOps: The 1st match for AIOps

    38 14

  6. The published dataset of AIOps Challenge 2020

    26 6


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