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carpedm20/BEGAN-pytorch

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0 stars·0 forks·12 views

BEGAN Pytorch

Features

  • Generative Models - Boundary Equilibrium GAN implementation.
  • Model Implementations - Boundary equilibrium GAN implementation.

Star history

Star history chart for carpedm20/began-pytorchStar history chart for carpedm20/began-pytorch

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 carpedm20/began-pytorch?

The main features of carpedm20/began-pytorch are: Generative Models, Model Implementations.

What are some open-source alternatives to carpedm20/began-pytorch?

Open-source alternatives to carpedm20/began-pytorch 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/discogan-pytorch — PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks".