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Anomalydetection for PubDAS with VAE training

Status

Data

  • Get data from globus
  • Differentiate train and test
  • Split into better sizes

Setup DDP

  • Without torchrun, make setup and destroy function and make sure we can use multiple gpus on idun

Config

  • Hyperparams stored in json file, try to load

Trainer

  • Able to initialize trainer
  • save and load from checkpoint file

Main loop

  • setup full end to end training

Model

VAE

  • Encoder
  • Decoder
  • Elbo loss that works
  • forward pass, sampling and recon works

Anomalydetection

  • Pictures before
  • Pictures after
  • Imgs with found anomlies
  • TP, FP and so on

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PubDAS Julia style

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