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generative-models

Simple implementations from scratch to learn and get started.

  • train a simple GAN on MNIST
  • compute FID
  • corrupt MNIST using ImageNet-C corruptions
  • code to train digit and noise classifiers on MNIST
  • explore GAN to interpolate between samples, find noise direction using classifier...

Sources

ImageNet-C
FID score for PyTorch

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