torchgan
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GETTING STARTED

  • Installation
    • Pip Installation
    • Conda Installation
    • Install from Source
  • Supporting and Citing
  • Dependencies
    • Mandatory Dependencies
    • Optional Dependencies
  • Philosophy
  • Contributing
    • Contribution Guidelines
    • Contributors
  • Starter Example
  • License

API DOCUMENTATION

  • torchgan.layers
    • Residual Blocks
      • ResidualBlock2d
      • ResidualBlockTranspose2d
    • Densenet Blocks
      • BasicBlock2d
      • BottleneckBlock2d
      • TransitionBlock2d
      • TransitionBlockTranspose2d
      • DenseBlock2d
    • Self Attention
      • SelfAttention2d
    • Spectral Normalization
      • SpectralNorm2d
    • Minibatch Discrimination
      • MinibatchDiscrimination1d
    • Virtual Batch Normalization
      • VirtualBatchNorm
  • torchgan.logging
    • Backends
    • Logger
    • Visualization
      • Visualize
      • LossVisualize
      • GradientVisualize
      • MetricVisualize
      • ImageVisualize
  • torchgan.losses
    • Loss
      • GeneratorLoss
      • DiscriminatorLoss
    • Least Squares Loss
      • LeastSquaresGeneratorLoss
      • LeastSquaresDiscriminatorLoss
    • Minimax Loss
      • MinimaxGeneratorLoss
      • MinimaxDiscriminatorLoss
    • Boundary Equilibrium Loss
      • BoundaryEquilibriumGeneratorLoss
      • BoundaryEquilibriumDiscriminatorLoss
    • Energy Based Loss
      • EnergyBasedGeneratorLoss
      • EnergyBasedDiscriminatorLoss
      • EnergyBasedPullingAwayTerm
    • Wasserstein Loss
      • WassersteinGeneratorLoss
      • WassersteinDiscriminatorLoss
      • WassersteinGradientPenalty
    • Mutual Information Penalty
    • Dragan Loss
      • DraganGradientPenalty
    • Auxillary Classifier Loss
      • AuxiliaryClassifierGeneratorLoss
      • AuxiliaryClassifierDiscriminatorLoss
    • Feature Matching Loss
      • FeatureMatchingGeneratorLoss
    • Historical Averaging
      • HistoricalAverageGeneratorLoss
      • HistoricalAverageDiscriminatorLoss
  • torchgan.metrics
    • Metric
      • EvaluationMetric
    • Classifier Score
  • torchgan.models
    • Vanilla GAN
      • Generator
      • Discriminator
    • Deep Convolutional GAN
      • DCGANGenerator
      • DCGANDiscriminator
    • Conditional GAN
      • ConditionalGANGenerator
      • ConditionalGANDiscriminator
    • InfoGAN
      • InfoGANGenerator
      • InfoGANDiscriminator
    • AutoEncoders
      • AutoEncodingGenerator
      • AutoEncodingDiscriminator
    • Auxiliary Classifier GAN
      • ACGANGenerator
      • ACGANDiscriminator
  • torchgan.trainer
    • Base Trainer
    • Trainer
    • Parallel Trainer
torchgan
  • Docs »
  • Overview: module code

All modules for which code is available

  • torchgan.layers.denseblock
  • torchgan.layers.minibatchdiscrimination
  • torchgan.layers.residual
  • torchgan.layers.selfattention
  • torchgan.layers.spectralnorm
  • torchgan.layers.virtualbatchnorm
  • torchgan.logging.logger
  • torchgan.logging.visualize
  • torchgan.losses.auxclassifier
  • torchgan.losses.boundaryequilibrium
  • torchgan.losses.draganpenalty
  • torchgan.losses.energybased
  • torchgan.losses.featurematching
  • torchgan.losses.historical
  • torchgan.losses.leastsquares
  • torchgan.losses.loss
  • torchgan.losses.minimax
  • torchgan.losses.mutualinfo
  • torchgan.losses.wasserstein
  • torchgan.metrics.classifierscore
  • torchgan.metrics.metric
  • torchgan.models.acgan
  • torchgan.models.autoencoding
  • torchgan.models.conditional
  • torchgan.models.dcgan
  • torchgan.models.infogan
  • torchgan.models.model
  • torchgan.trainer.base_trainer
  • torchgan.trainer.parallel_trainer
  • torchgan.trainer.trainer

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