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Generative Adversarial Networks Library: pygan

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Welcome to pygan’s documentation!¶

Contents:

  • Generative Adversarial Networks Library: pygan
    • Installation
      • Source code
      • Python package index(PyPI)
      • Dependencies
    • Documentation
    • Description
      • Structural extension for Conditional GANs (or cGANs).
      • Structural extension for Adversarial Auto-Encoders(AAEs).
      • Structural extension for Energy-based Generative Adversarial Network(EBGAN).
      • Structural coupling between AAEs and EBGAN.
      • Usecase: Image Generation by GANs.
      • Usecase: Image Generation by EBGANs.
      • Usecase: Image Generation by AAEs.
    • References
      • Related PoC
    • Author
    • Author URI
    • License
  • pygan package
    • Submodules
    • pygan.ebaae_image_generator module
    • pygan.ebgan_image_generator module
    • pygan.gan_image_generator module
    • Module contents
  • pygan
    • pygan package
      • Submodules
      • pygan.ebaae_image_generator module
      • pygan.ebgan_image_generator module
      • pygan.gan_image_generator module
      • Module contents

Indices and tables¶

  • Index
  • Module Index
  • Search Page

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