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Published 20 hours ago • verified publisher icon bflammers
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A PyTorch implementation of an autoencoder trained to minimize the Mahalanobis distance between input and reconstruction.

Mahalanobis autoencoder for anomaly detection

A benchmarking experiment to see if a Mahalanobis autoencoder is better at detecting anomalies than a normal autoencoder.

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verified publisher icon bflammers

Metadata

A PyTorch implementation of an autoencoder trained to minimize the Mahalanobis distance between input and reconstruction.

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