Guillem96/madgan-pytorch
Multivariate Anomaly Detection with GAN (MAD-GAN) PyTorch modern implementation.
This project helps operations engineers and data analysts identify unusual patterns or outliers in complex system data. You provide a CSV file containing multiple features describing your system's behavior over time. The output is a trained model capable of detecting anomalies, helping you pinpoint potential issues or deviations from normal operation.
No commits in the last 6 months.
Use this if you need to detect anomalies within multivariate, non-time-series data for systems monitoring, quality control, or fraud detection.
Not ideal if your data is time-series based and requires windowing for anomaly detection, as this feature is not yet supported.
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Python
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Last pushed
Nov 11, 2022
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