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GAN-based Unsupervised Anomaly Identification Architecture (GUSAIA)

To be published in IISE Transactions Journal

How to cite

Citation details will be shared later

Requirements

  • PyTorch
  • SKLearn
  • numpy
  • pandas
  • matplotlib
  • seaborn

Running the Software

All the codes for building basic GUSAIA architecture can be found in GUSAIA.py. A pre-tarined model is also available as model.pth The file GUSAIA.ipynb explains how to train the GUSAIA architecture using a dataset, an example with [SWaT dataset] is deployed

Copyright and licensing

The license file will be updated later

Publication

To be added asp

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Unsupervised anomaly detection

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