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xuhongzuo/README.md

Glad to see you here !

  • 🌱 I’m a CS Ph.D. student at National University of Defense Technology, China.

  • 🔭 My current research interests include unsupervised(self-supervised)/weakly-supervised outlier/anomaly detection/interpretation for tabular/time series/graph data.

  • 📫 Contact me via hongzuoxu [aT] 126 [dot] com

Github Stats

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  1. DeepOD DeepOD Public

    Deep learning-based outlier/anomaly detection

    Python 435 50

  2. scale-learning scale-learning Public

    Deep anomaly detection with scale learning

    Python 8 2

  3. couta couta Public

    a time series anomaly detection method based on the calibrated one-class classifier

    Python 56 18

  4. outlier-interpretation outlier-interpretation Public

    (WWW'21) ATON - an Outlier Interpreation / Outlier explanation method

    Python 198 30

  5. deep-iforest deep-iforest Public

    offical implementation of TKDE paper "Deep isolation forest for anomaly detection"

    Python 85 18

  6. MIX MIX Public

    ICDM19 - Anomaly Detection / Outlier Detection for Mixed data

    Python 13 2