A benchmarking experiment to see if a Mahalanobis autoencoder is better at detecting anomalies than a normal autoencoder.
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bflammers/automahalanobis
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A PyTorch implementation of an autoencoder trained to minimize the Mahalanobis distance between input and reconstruction.
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