flaviagiammarino/encdec-ad-tensorflow
TensorFlow implementation of EncDec-AD model for multivariate time series anomaly detection with LSTM-based encoder-decoder.
This helps operations engineers, data analysts, or system administrators automatically find unusual patterns in their sensor data or system logs. It takes in streams of data collected over time from multiple sources, like temperature readings or server metrics, and tells you when something looks abnormal. The output highlights specific points in your data where anomalies are detected, helping you spot critical issues quickly.
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Use this if you need to automatically detect unexpected events or outliers within continuous streams of multivariate time series data from sensors or system monitors.
Not ideal if your data is not time-series based, you have only a single data stream, or you need to predict future values rather than detect current anomalies.
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18
Forks
4
Language
Python
License
MIT
Category
Last pushed
Apr 15, 2024
Commits (30d)
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