master
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
»
Dependencies Graph
Edit on GitHub
Dependencies Graph
¶
ashpy.callbacks
¶
Events
¶
ashpy.models
¶
Convolutional
¶
GANs
¶
GANs models are just aliases.
ashpy.trainers
¶
Adversarial
¶
Classifier
¶
ashpy.restorers
¶
ashpy.layers
¶
Layers
¶
ashpy.losses
¶
Classifier Losses
¶
GAN Losses
¶
ashpy.metrics
¶
Classifier Metrics
¶
GAN Metrics
¶