anomaly detection

  1. Outlier Detection

    Detect outliers in time series data

    TimeSeries
  2. Fast Anomaly Detection

    A fast Anomaly detection algorithm best used for IoT, Fraud detection and IT Ops

    Wolverine
  3. Spike Detection

    Anomaly detection algorithm that reports sudden changes in a time series

    TimeSeries
  4. Threshold Anomaly Detection

    Detecting & filtering anomalous data

    TimeSeries
  5. Geographic Outlier Detection

    This algorithm finds the most unexpected events in a set of geographic events relative to some reference set of events.

    sklearn
Rows per page: 1-5 of 8
  1. Outlier Detection

    Detect outliers in time series data

    TimeSeries
  2. Fast Anomaly Detection

    A fast Anomaly detection algorithm best used for IoT, Fraud detection and IT Ops

    Wolverine
  3. Spike Detection

    Anomaly detection algorithm that reports sudden changes in a time series

    TimeSeries
  4. Geographic Outlier Detection

    This algorithm finds the most unexpected events in a set of geographic events relative to some reference set of events.

    sklearn
  5. Threshold Anomaly Detection

    Detecting & filtering anomalous data

    TimeSeries
Rows per page: 1-5 of 8
  1. Open Anomaly Detection (PyTorch)

    Detect anomalies in any kind of timeseries data

    TimeSeries
  2. Fast Anomaly Detection

    A fast Anomaly detection algorithm best used for IoT, Fraud detection and IT Ops

    Wolverine
  3. Geographic Outlier Detection

    This algorithm finds the most unexpected events in a set of geographic events relative to some reference set of events.

    sklearn
  4. Spike Detection

    Anomaly detection algorithm that reports sudden changes in a time series

    TimeSeries
Rows per page: 1-5 of 8