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SKTBrain/DiscoGAN

0
View on GitHub↗
0 stars·0 forks·9 views

DiscoGAN

Features

  • Generative Models - Official implementation of DiscoGAN.
  • Model Implementations - Official implementation of cross-domain relation discovery.

Star history

Star history chart for sktbrain/discoganStar history chart for sktbrain/discogan

How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.

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Frequently asked questions

What are the main features of sktbrain/discogan?

The main features of sktbrain/discogan are: Generative Models, Model Implementations.

What are some open-source alternatives to sktbrain/discogan?

Open-source alternatives to sktbrain/discogan include: bengxy/fastneuralstyle — Fast Neural Style for Image Style Transform by Pytorch. caogang/wgan-gp — A pytorch implementation of Paper "Improved Training of Wasserstein GANs". alexis-jacq/pytorch-sketch-rnn. alexis-jacq/pytorch-tutorials. blade6570/photographicimagesynthesiswithcascadedrefinementnetworks-pytorch. carpedm20/began-pytorch.