Skip to main content

Ctrl+K

Deeplay 0.1.3 documentation

Documentation

Documentation

Section Navigation

Contents:

deeplay.decorators Module
deeplay.list Module
deeplay.meta Module
- not_top_level
- ExtendedConstructorMeta
deeplay.module Module
deeplay.shapes Module
deeplay.trainer Module
- Trainer
deeplay.activelearning.criterion Module
deeplay.activelearning.data Module
- ActiveLearningDataset
- JointDataset
deeplay.activelearning.strategies.strategy Module
- Strategy
deeplay.activelearning.strategies.uncertainty Module
- UncertaintyStrategy
deeplay.activelearning.strategies.uniform Module
- UniformStrategy
deeplay.activelearning.strategies.adversarial.adversarial Module
- AdversarialStrategy
deeplay.applications.application Module
- Application
deeplay.applications.autoencoders.vae Module
- VariationalAutoEncoder
deeplay.applications.autoencoders.wae Module
- WassersteinAutoEncoder
deeplay.applications.classification.binary Module
- BinaryClassifier
deeplay.applications.classification.categorical Module
- CategoricalClassifier
deeplay.applications.classification.classifier Module
- Classifier
deeplay.applications.classification.multilabel Module
- MultiLabelClassifier
deeplay.applications.detection.lodestar.dataset Module
deeplay.applications.detection.lodestar.lodestar Module
- LodeSTAR
deeplay.applications.detection.lodestar.transforms Module
deeplay.applications.regression.regressor Module
- Regressor
deeplay.blocks.base Module
- BaseBlock
- DeferredConfigurableLayer
deeplay.blocks.block Module
- Block
deeplay.blocks.la Module
- LayerActivation
deeplay.blocks.lan Module
- LayerActivationNormalization
deeplay.blocks.land Module
- LayerActivationNormalizationDropout
deeplay.blocks.lanu Module
- LayerActivationNormalizationUpsample
deeplay.blocks.ls Module
- LayerSkip
deeplay.blocks.plan Module
- PoolLayerActivationNormalization
deeplay.blocks.recurrentblock Module
- RecurrentBlock
deeplay.blocks.residual Module
- BaseResidual
- Conv2dResidual
deeplay.blocks.sequential Module
- SequentialBlock
deeplay.blocks.conv.conv2d Module
deeplay.blocks.linear.linear Module
- LinearBlock
deeplay.blocks.sequence.sequence1d Module
- Sequence1dBlock
- SequenceDropout
deeplay.callbacks.history Module
- LogHistory
deeplay.callbacks.progress Module
- RichProgressBar
- TQDMProgressBar
deeplay.components.dict Module
- AddDict
- FromDict
deeplay.components.mlp Module
- MultiLayerPerceptron
deeplay.components.rnn Module
- RecurrentNeuralNetwork
deeplay.components.cnn.cnn Module
- ConvolutionalNeuralNetwork
deeplay.components.cnn.encdec Module
deeplay.components.diffusion.attention_unet Module
deeplay.components.gnn.tpu Module
- TransformPropagateUpdate
deeplay.components.gnn.gcn.gcn Module
- GraphConvolutionalNeuralNetwork
deeplay.components.gnn.gcn.normalization Module
- dense_laplacian_normalization
- sparse_laplacian_normalization
deeplay.components.gnn.mpn.cla Module
- CombineLayerActivation
deeplay.components.gnn.mpn.ct Module
- CombineTransform
deeplay.components.gnn.mpn.ldw Module
- LearnableDistancewWeighting
deeplay.components.gnn.mpn.mpn Module
- MessagePassingNeuralNetwork
deeplay.components.gnn.mpn.propagation Module
- Max
- Mean
- Min
- Prod
- Sum
- WeightedSum
deeplay.components.gnn.mpn.rmpn Module
- ResidualMessagePassingNeuralNetwork
deeplay.components.gnn.mpn.transformation Module
- Transform
deeplay.components.gnn.mpn.update Module
- Update
deeplay.components.transformer.enc Module
- TransformerEncoderLayer
deeplay.components.transformer.ldsn Module
- LayerDropoutSkipNormalization
deeplay.components.transformer.pemb Module
deeplay.components.transformer.satt Module
- MultiheadSelfAttention
deeplay.external.external Module
- External
deeplay.external.layer Module
- Layer
deeplay.external.optimizers.adam Module
- Adam
- AdamW
deeplay.external.optimizers.optimizer Module
- Optimizer
deeplay.external.optimizers.rmsprop Module
- RMSprop
deeplay.external.optimizers.sgd Module
- SGD
deeplay.initializers.constant Module
- Constant
deeplay.initializers.initializer Module
- Initializer
deeplay.initializers.kaiming Module
- Kaiming
deeplay.initializers.normal Module
- Normal
deeplay.models.recurrentmodel Module
- RecurrentModel
deeplay.models.visiontransformer Module
- Patchify
- ViT
deeplay.models.backbones.resnet18 Module
deeplay.models.discriminators.cyclegan Module
- CycleGANDiscriminator
deeplay.models.discriminators.dcgan Module
- dcgan_discriminator
- DCGANDiscriminator
deeplay.models.generators.cyclegan Module
- CycleGANResnetGenerator
deeplay.models.generators.dcgan Module
- dcgan_generator
- DCGANGenerator
deeplay.models.gnn.gtoeMAGIK Module
- GraphToEdgeMAGIK
deeplay.models.gnn.gtoempm Module
- GraphToEdgeMPM
deeplay.models.gnn.gtogmpm Module
- GlobalMeanPool
- GraphToGlobalMPM
deeplay.models.gnn.gtonmpm Module
- GraphToNodeMPM
deeplay.models.gnn.mpm Module
- MPM
deeplay.models.mlp.sized Module
deeplay.ops.logs Module
- FromLogs
deeplay.ops.merge Module
- MergeOp
- Add
- Cat
- Lambda
deeplay.ops.shape Module
- Flatten
- View
- Reshape
- Squeeze
- Unsqueeze
- Permute
deeplay.ops.attention.cross Module
- MultiheadCrossAttention
deeplay.ops.attention.self Module
- MultiheadSelfAttention

Documentation
deeplay.external.optimizers.adam Module
AdamW

AdamW#

class deeplay.external.optimizers.adam.AdamW(*args, **kwargs)#: Bases: Optimizer

On this page

AdamW

This Page

Show Source

Created using Sphinx 7.4.7.

Built with the PyData Sphinx Theme 0.16.1.