https://github.com/shayneobrien/generative-models

Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN
https://github.com/shayneobrien/generative-models

autoencoder began discriminator dragan fgan fishergan gan generative-adversarial-network generative-models infogan lsgan machine-learning mmgan nsgan python pytorch ragan vae wasserstein wgan

Last synced: 7 days ago
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Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN

• Host: GitHub
• URL: https://github.com/shayneobrien/generative-models
• Owner: shayneobrien
• License: mit
• Created: 2018-04-17T15:36:19.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2018-11-19T15:42:20.000Z (almost 6 years ago)
• Last Synced: 2024-08-02T07:08:47.787Z (3 months ago)
• Topics: autoencoder, began, discriminator, dragan, fgan, fishergan, gan, generative-adversarial-network, generative-models, infogan, lsgan, machine-learning, mmgan, nsgan, python, pytorch, ragan, vae, wasserstein, wgan
• Language: Jupyter Notebook
• Homepage:
• Size: 143 MB
• Stars: 496
• Watchers: 16
• Forks: 75
• Open Issues: 3
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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