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Contents:

  • Welcome To AshPy!
    • AshPy
      • Quick Example
      • Features
      • Set up
        • Pip install
        • Source install
      • Usage
        • Classifier
      • GAN - Generative Adversarial Network
      • Dataset Output Format
      • Test
  • Write The Docs!
    • The Whys
      • Why Sphinx?
      • Why reST?
      • Why Google Style for Docstrings?
    • Documentation Architecture
      • Tutorials, Guides, Complex Examples
      • API Reference
        • Automate all the docs!
        • Autosummary & submodules with imports: A painful story
      • Inheritance Diagrams
    • Additional Materials
  • Getting Started
    • Datasets
      • Classification
      • GANs
    • Models
      • Using an AshPy model
      • Creating a Model
      • Inheriting from ashpy.models.Conv2DInterface
    • Creating a new Trainer
    • Complete Examples
      • Classifier
      • GANs
        • BiGAN
        • MNIST
        • Facades (Pix2Pix)
  • Advanced AshPy
    • Custom Metrics
      • Wrapping Keras Metrics
      • Creating your own Metric
        • Custom Computation inside Metric.update_state()
    • Custom Callbacks
  • AshPy Internals
    • Context
      • Classifier Context
      • GAN Context
      • GANEncoder Context
    • Executor
      • An Executor Example
  • API Reference
    • ashpy.ashtypes
    • ashpy.callbacks
      • Callback
      • CounterCallback
      • LogClassifierCallback
      • Event
      • LogImageGANCallback
      • LogImageGANEncoderCallback
      • SaveCallback
      • SaveFormat
      • SaveSubFormat
      • callback
        • Callback
      • classifier
        • LogClassifierCallback
      • counter_callback
        • CounterCallback
      • events
        • Event
      • gan
        • LogImageGANCallback
        • LogImageGANEncoderCallback
      • save_callback
        • SaveCallback
        • SaveFormat
        • SaveSubFormat
    • ashpy.contexts
      • Context
      • ClassifierContext
      • GANContext
      • GANEncoderContext
      • context
        • Context
      • classifier
        • ClassifierContext
      • gan
        • GANContext
        • GANEncoderContext
    • ashpy.keras
      • losses
        • DHingeLoss
        • DLeastSquare
        • DMinMax
        • GHingeLoss
        • L1
    • ashpy.layers
      • InstanceNormalization
      • Attention
    • ashpy.losses
      • Executor
      • SumExecutor
      • ClassifierLoss
      • GANExecutor
      • AdversarialLossType
      • GeneratorAdversarialLoss
      • DiscriminatorAdversarialLoss
      • GeneratorBCE
      • GeneratorLSGAN
      • GeneratorL1
      • GeneratorHingeLoss
      • FeatureMatchingLoss
      • CategoricalCrossEntropy
      • Pix2PixLoss
      • Pix2PixLossSemantic
      • EncoderBCE
      • DiscriminatorMinMax
      • DiscriminatorLSGAN
      • DiscriminatorHingeLoss
      • ashpy.losses.gan.get_adversarial_loss_discriminator
      • ashpy.losses.gan.get_adversarial_loss_generator
      • classifier
        • ClassifierLoss
      • executor
        • Executor
        • SumExecutor
      • gan
        • ashpy.losses.gan.get_adversarial_loss_discriminator
        • ashpy.losses.gan.get_adversarial_loss_generator
        • AdversarialLossType
        • CategoricalCrossEntropy
        • DiscriminatorAdversarialLoss
        • DiscriminatorHingeLoss
        • DiscriminatorLSGAN
        • DiscriminatorMinMax
        • EncoderBCE
        • FeatureMatchingLoss
        • GANExecutor
        • GeneratorAdversarialLoss
        • GeneratorBCE
        • GeneratorHingeLoss
        • GeneratorL1
        • GeneratorLSGAN
        • Pix2PixLoss
        • Pix2PixLossSemantic
    • ashpy.metrics
      • Metric
      • ClassifierLoss
      • ClassifierMetric
      • DiscriminatorLoss
      • GeneratorLoss
      • EncoderLoss
      • InceptionScore
      • EncodingAccuracy
      • SlicedWassersteinDistance
      • SSIM_Multiscale
      • classifier
        • ClassifierLoss
        • ClassifierMetric
      • gan
        • DiscriminatorLoss
        • EncoderLoss
        • EncodingAccuracy
        • GeneratorLoss
        • InceptionScore
      • metric
        • Metric
      • sliced_wasserstein_metric
        • SingleSWD
        • SlicedWassersteinDistance
      • ssim_multiscale
        • SSIM_Multiscale
    • ashpy.models
      • convolutional
        • Conv2DInterface
        • Decoder
        • FCNNDecoder
        • Encoder
        • FCNNEncoder
        • Autoencoder
        • FCNNAutoencoder
        • UNet
        • SUNet
        • ashpy.models.convolutional.unet.FUNet
        • MultiScaleDiscriminator
        • PatchDiscriminator
        • LocalEnhancer
        • GlobalGenerator
        • autoencoders
        • discriminators
        • decoders
        • encoders
        • interfaces
        • unet
        • pix2pixhd
      • fc
        • FCInterface
        • Decoder
        • Encoder
        • Autoencoder
        • autoencoders
        • decoders
        • encoders
        • interfaces
      • gans
        • ConvGenerator
        • DenseGenerator
        • ConvDiscriminator
        • DenseDiscriminator
        • ConvEncoder
        • DenseEncoder
    • ashpy.modes
      • LogEvalMode
    • ashpy.restorers
      • Restorer
      • AdversarialRestorer
      • AdversarialEncoderRestorer
      • ClassifierRestorer
      • restorer
        • Restorer
        • ashpy.restorers.restorer.ModelNotConstructedError
      • classifier
        • ClassifierRestorer
      • gan
        • AdversarialEncoderRestorer
        • AdversarialRestorer
    • ashpy.trainers
      • Trainer
      • AdversarialTrainer
      • EncoderTrainer
      • trainer
        • Trainer
      • classifier
        • ClassifierTrainer
      • gan
        • AdversarialTrainer
        • EncoderTrainer
  • Dependencies Graph
    • ashpy.callbacks
      • Events
    • ashpy.models
      • Convolutional
      • GANs
    • ashpy.trainers
      • Adversarial
      • Classifier
    • ashpy.restorers
    • ashpy.layers
      • Layers
    • ashpy.losses
      • Classifier Losses
      • GAN Losses
    • ashpy.metrics
      • Classifier Metrics
      • GAN Metrics
  • About
AshPy
  • Docs »
  • Welcome to ASHPY’s documentation!
  • Edit on GitHub

Welcome to ASHPY’s documentation!¶

Contents:

  • Welcome To AshPy!
    • AshPy
  • Write The Docs!
    • The Whys
    • Documentation Architecture
    • Additional Materials
  • Getting Started
    • Datasets
    • Models
    • Creating a new Trainer
    • Complete Examples
  • Advanced AshPy
    • Custom Metrics
    • Custom Callbacks
  • AshPy Internals
    • Context
    • Executor
  • API Reference
    • ashpy.ashtypes
    • ashpy.callbacks
    • ashpy.contexts
    • ashpy.keras
    • ashpy.layers
    • ashpy.losses
    • ashpy.metrics
    • ashpy.models
    • ashpy.modes
    • ashpy.restorers
    • ashpy.trainers
  • Dependencies Graph
    • ashpy.callbacks
    • ashpy.models
    • ashpy.trainers
    • ashpy.restorers
    • ashpy.layers
    • ashpy.losses
    • ashpy.metrics
  • About

Indices and tables¶

  • Index
  • Module Index
  • Search Page
Next

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