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A reimplementation of the MSCRED paper in Keras, without the Attention layers (since they were not implemented in Keras during the time).

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mscred_keras

A reimplementation of the MSCRED model in Keras, without the Attention layers (since they were not implemented in Keras during the time). A full reimplementation and application experiment could be found here:

https://github.com/y-he2/Efficient-Python-Data-Signal-ML-Lab-Framework/blob/main/poc_signature_anomaly_detection.ipynb

Since its a while ago, I cannot provide any testing, Keras version, documentation, maintenance, input/output data for testing here at the moment. I might in the future if the need has increased. Hopefully it serves as a reference to help your own implementations. Tell me if theres anything missing, but I make no promises.

NOTE! that the MIT part of the license refers to my works reimplementing the original MSCRED in Keras. I do not claim any license rights over any rights that were preserved by the original authers, see https://github.com/7fantasysz/MSCRED

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A reimplementation of the MSCRED paper in Keras, without the Attention layers (since they were not implemented in Keras during the time).

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