Mimicry DocumentationΒΆ

Mimicry is a lightweight PyTorch library aimed towards the reproducibility of GAN research.

Comparing GANs is often difficult - mild differences in implementations and evaluation methodologies can result in huge performance differences. Mimicry aims to resolve this by providing:

  • Standardized implementations of popular GANs that closely reproduce reported scores
  • Baseline scores of GANs trained and evaluated under the same conditions
  • A framework for researchers to focus on implementation of GANs without rewriting most of GAN training boilerplate code, with support for multiple GAN evaluation metrics.