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Predictive maintenance

This is the experimental repo for code related to the predictive maintenance project in collaboration with RUAG. Its goal is to explore different versions of anomaly detection and how to make the training as privacy-preserving as possible.

We looked at the following papers for inspiration:

Currently, the following code is available:

  • patchcore - an implementation of a federated model of patchcore
  • MLP - a first version of running MLP directly after resnet