Index

_

__call__() (deeplay.applications.application.Application method) (deeplay.applications.detection.lodestar.transforms.Transform method) (deeplay.applications.detection.lodestar.transforms.Transforms method) (deeplay.decorators.Callback method) (deeplay.list.ReferringLayerList method) (deeplay.meta.ExtendedConstructorMeta method) (deeplay.module.DeeplayModule method) (deeplay.shapes.Computed method) (deeplay.shapes.Variable method)

A

activated() (deeplay.blocks.base.BaseBlock method) activation (deeplay.components.cnn.cnn.ConvolutionalNeuralNetwork attribute) (deeplay.components.mlp.MultiLayerPerceptron attribute) (deeplay.components.rnn.RecurrentNeuralNetwork attribute) (deeplay.models.recurrentmodel.RecurrentModel attribute) ActiveLearningCriterion (class in deeplay.activelearning.criterion) ActiveLearningDataset (class in deeplay.activelearning.data) Adam (class in deeplay.external.optimizers.adam) AdamW (class in deeplay.external.optimizers.adam) Add (class in deeplay.ops.merge) add_detached_configuration() (deeplay.module.Config method) add_self_loops() (deeplay.components.gnn.gcn.normalization.sparse_laplacian_normalization method) AddDict (class in deeplay.components.dict) AdversarialStrategy (class in deeplay.activelearning.strategies.adversarial.adversarial)

after_build() (in module deeplay.decorators) after_init() (in module deeplay.decorators) annotate() (deeplay.activelearning.data.ActiveLearningDataset method) annotate_random() (deeplay.activelearning.data.ActiveLearningDataset method) append() (deeplay.blocks.sequential.SequentialBlock method) (deeplay.list.LayerList method) (deeplay.module.Selection method) append_dropout() (deeplay.blocks.sequence.sequence1d.Sequence1dBlock method) (deeplay.blocks.sequential.SequentialBlock method) (deeplay.module.Selection method) Application (class in deeplay.applications.application) assert_not_positional_only_and_variadic() (deeplay.external.external.External method) AttentionBlock (class in deeplay.components.diffusion.attention_unet) AttentionUNet (class in deeplay.components.diffusion.attention_unet) available_styles() (deeplay.module.DeeplayModule class method)

B

BackboneResnet18 (class in deeplay.models.backbones.resnet18) BaseBlock (class in deeplay.blocks.base) BaseResidual (class in deeplay.blocks.residual) before_build() (in module deeplay.decorators) bidirectional() (deeplay.blocks.sequence.sequence1d.Sequence1dBlock method) (deeplay.components.rnn.RecurrentNeuralNetwork method) BinaryClassifier (class in deeplay.applications.classification.binary) Block (class in deeplay.blocks.block) (class in deeplay.components.diffusion.attention_unet)

blocks (deeplay.components.cnn.encdec.ConvolutionalEncoderDecoder2d attribute) build() (deeplay.applications.application.Application method) (deeplay.blocks.base.BaseBlock method) (deeplay.external.external.External method) (deeplay.module.DeeplayModule method) build_arguments_from() (deeplay.external.external.External method) builder() (in module deeplay.module)

C

call_with_dummy_data() (deeplay.blocks.base.BaseBlock method) (deeplay.blocks.conv.conv2d.Conv2dBlock method) (deeplay.blocks.linear.linear.LinearBlock method) Callback (class in deeplay.decorators) calling_stateful() (deeplay.module.DeeplayModule method) Cat (class in deeplay.ops.merge) CategoricalClassifier (class in deeplay.applications.classification.categorical) channel (deeplay.components.cnn.encdec.ConvolutionalEncoder2d attribute) Classifier (class in deeplay.applications.classification.classifier) clone_metrics() (deeplay.applications.application.Application static method) CombineLayerActivation (class in deeplay.components.gnn.mpn.cla) CombineTransform (class in deeplay.components.gnn.mpn.ct) compute_IMQ() (deeplay.applications.autoencoders.wae.WassersteinAutoEncoder method) compute_kernel() (deeplay.applications.autoencoders.wae.WassersteinAutoEncoder method) compute_loss() (deeplay.applications.application.Application method) (deeplay.applications.autoencoders.vae.VariationalAutoEncoder method) (deeplay.applications.autoencoders.wae.WassersteinAutoEncoder method) (deeplay.applications.classification.binary.BinaryClassifier method) (deeplay.applications.classification.categorical.CategoricalClassifier method) (deeplay.applications.classification.classifier.Classifier method) (deeplay.applications.classification.multilabel.MultiLabelClassifier method) (deeplay.applications.detection.lodestar.lodestar.LodeSTAR method) compute_mmd() (deeplay.applications.autoencoders.wae.WassersteinAutoEncoder method) Computed (class in deeplay.shapes) computed() (deeplay.module.DeeplayModule method) Config (class in deeplay.module) ConfigItem (class in deeplay.module) ConfigItemList (class in deeplay.module) configurables (deeplay.blocks.block.Block attribute) (deeplay.module.DeeplayModule attribute) configure() (deeplay.blocks.base.DeferredConfigurableLayer method) (deeplay.blocks.block.Block method) (deeplay.blocks.la.LayerActivation method) (deeplay.blocks.lan.LayerActivationNormalization method) (deeplay.blocks.land.LayerActivationNormalizationDropout method) (deeplay.blocks.lanu.LayerActivationNormalizationUpsample method) (deeplay.blocks.ls.LayerSkip method) (deeplay.blocks.plan.PoolLayerActivationNormalization method) (deeplay.blocks.recurrentblock.RecurrentBlock method) (deeplay.blocks.sequential.SequentialBlock method) (deeplay.components.cnn.cnn.ConvolutionalNeuralNetwork method) (deeplay.components.cnn.encdec.ConvolutionalDecoder2d method) (deeplay.components.cnn.encdec.ConvolutionalEncoder2d method) (deeplay.components.cnn.encdec.UNet2d method) (deeplay.components.diffusion.attention_unet.AttentionUNet method) (deeplay.components.gnn.gcn.gcn.GraphConvolutionalNeuralNetwork method) (deeplay.components.gnn.mpn.cla.CombineLayerActivation method) (deeplay.components.gnn.mpn.ct.CombineTransform method) (deeplay.components.gnn.mpn.mpn.MessagePassingNeuralNetwork method) (deeplay.components.gnn.mpn.rmpn.ResidualMessagePassingNeuralNetwork method) (deeplay.components.gnn.tpu.TransformPropagateUpdate method) (deeplay.components.mlp.MultiLayerPerceptron method) (deeplay.components.rnn.RecurrentNeuralNetwork method) (deeplay.components.transformer.enc.TransformerEncoderLayer method) (deeplay.components.transformer.ldsn.LayerDropoutSkipNormalization method) (deeplay.external.external.External method) (deeplay.external.layer.Layer method) (deeplay.list.LayerList method) (deeplay.models.generators.cyclegan.CycleGANResnetGenerator method) (deeplay.models.recurrentmodel.RecurrentModel method) (deeplay.module.DeeplayModule method) (deeplay.module.Selection method)

configure_optimizers() (deeplay.activelearning.strategies.adversarial.adversarial.AdversarialStrategy method) (deeplay.applications.application.Application method) Constant (class in deeplay.activelearning.criterion) (class in deeplay.initializers.constant) Conv2dBlock (class in deeplay.blocks.conv.conv2d) Conv2dResidual (class in deeplay.blocks.residual) ConvolutionalDecoder2d (class in deeplay.components.cnn.encdec) ConvolutionalEncoder2d (class in deeplay.components.cnn.encdec) ConvolutionalEncoderDecoder2d (class in deeplay.components.cnn.encdec) ConvolutionalNeuralNetwork (class in deeplay.components.cnn.cnn) create() (deeplay.external.external.External method) (deeplay.module.DeeplayModule method) create_data() (deeplay.applications.application.Application method) create_optimizer_with_params() (deeplay.applications.application.Application method) CycleGANDiscriminator (class in deeplay.models.discriminators.cyclegan) CycleGANResnetGenerator (class in deeplay.models.generators.cyclegan)

D

dcgan_discriminator() (in module deeplay.models.discriminators.dcgan) dcgan_generator() (in module deeplay.models.generators.dcgan) DCGANDiscriminator (class in deeplay.models.discriminators.dcgan) DCGANGenerator (class in deeplay.models.generators.dcgan) decode() (deeplay.applications.autoencoders.vae.VariationalAutoEncoder method) (deeplay.applications.autoencoders.wae.WassersteinAutoEncoder method) deeplay.activelearning.criterion module deeplay.activelearning.data module deeplay.activelearning.strategies.adversarial.adversarial module deeplay.activelearning.strategies.strategy module deeplay.activelearning.strategies.uncertainty module deeplay.activelearning.strategies.uniform module deeplay.applications.application module deeplay.applications.autoencoders.vae module deeplay.applications.autoencoders.wae module deeplay.applications.classification.binary module deeplay.applications.classification.categorical module deeplay.applications.classification.classifier module deeplay.applications.classification.multilabel module deeplay.applications.detection.lodestar.dataset module deeplay.applications.detection.lodestar.lodestar module deeplay.applications.detection.lodestar.transforms module deeplay.applications.regression.regressor module deeplay.blocks.base module deeplay.blocks.block module deeplay.blocks.conv.conv2d module deeplay.blocks.la module deeplay.blocks.lan module deeplay.blocks.land module deeplay.blocks.lanu module deeplay.blocks.linear.linear module deeplay.blocks.ls module deeplay.blocks.plan module deeplay.blocks.recurrentblock module deeplay.blocks.residual module deeplay.blocks.sequence.sequence1d module deeplay.blocks.sequential module deeplay.callbacks.history module deeplay.callbacks.progress module deeplay.components.cnn.cnn module deeplay.components.cnn.encdec module deeplay.components.dict module deeplay.components.diffusion.attention_unet module deeplay.components.gnn.gcn.gcn module deeplay.components.gnn.gcn.normalization module deeplay.components.gnn.mpn.cla module deeplay.components.gnn.mpn.ct module deeplay.components.gnn.mpn.ldw module deeplay.components.gnn.mpn.mpn module deeplay.components.gnn.mpn.propagation module deeplay.components.gnn.mpn.rmpn module deeplay.components.gnn.mpn.transformation module

deeplay.components.gnn.mpn.update module deeplay.components.gnn.tpu module deeplay.components.mlp module deeplay.components.rnn module deeplay.components.transformer.enc module deeplay.components.transformer.ldsn module deeplay.components.transformer.pemb module deeplay.components.transformer.satt module deeplay.decorators module deeplay.external.external module deeplay.external.layer module deeplay.external.optimizers.adam module deeplay.external.optimizers.optimizer module deeplay.external.optimizers.rmsprop module deeplay.external.optimizers.sgd module deeplay.initializers.constant module deeplay.initializers.initializer module deeplay.initializers.kaiming module deeplay.initializers.normal module deeplay.list module deeplay.meta module deeplay.models.backbones.resnet18 module deeplay.models.discriminators.cyclegan module deeplay.models.discriminators.dcgan module deeplay.models.generators.cyclegan module deeplay.models.generators.dcgan module deeplay.models.gnn.gtoeMAGIK module deeplay.models.gnn.gtoempm module deeplay.models.gnn.gtogmpm module deeplay.models.gnn.gtonmpm module deeplay.models.gnn.mpm module deeplay.models.mlp.sized module deeplay.models.recurrentmodel module deeplay.models.visiontransformer module deeplay.module module deeplay.ops.attention.cross module deeplay.ops.attention.self module deeplay.ops.logs module deeplay.ops.merge module deeplay.ops.shape module deeplay.shapes module deeplay.trainer module DeeplayModule (class in deeplay.module) DeferredConfigurableLayer (class in deeplay.blocks.base) degree() (deeplay.components.gnn.gcn.normalization.dense_laplacian_normalization method) (deeplay.components.gnn.gcn.normalization.sparse_laplacian_normalization method) dense_laplacian_normalization (class in deeplay.components.gnn.gcn.normalization) DetachedConfigItem (class in deeplay.module) detect() (deeplay.applications.detection.lodestar.lodestar.LodeSTAR method) detect_single() (deeplay.applications.detection.lodestar.lodestar.LodeSTAR method) device (deeplay.module.DeeplayModule attribute) disable_history() (deeplay.trainer.Trainer method) disable_progress_bar() (deeplay.trainer.Trainer method) dropout (deeplay.components.mlp.MultiLayerPerceptron attribute) (deeplay.components.rnn.RecurrentNeuralNetwork attribute) (deeplay.models.recurrentmodel.RecurrentModel attribute) dtype (deeplay.module.DeeplayModule attribute)

E

encode() (deeplay.applications.autoencoders.vae.VariationalAutoEncoder method) (deeplay.applications.autoencoders.wae.WassersteinAutoEncoder method) Entropy (class in deeplay.activelearning.criterion) error_on_failed_forward() (deeplay.blocks.base.BaseBlock method) expected_input_shape (deeplay.blocks.conv.conv2d.Conv2dBlock attribute)

extend() (deeplay.list.LayerList method) ExtendedConstructorMeta (class in deeplay.meta) External (class in deeplay.external.external) extra_repr() (deeplay.components.dict.FromDict method) (deeplay.components.gnn.mpn.ldw.LearnableDistancewWeighting method)

F

FeatureIntegrationModule (class in deeplay.components.diffusion.attention_unet) feed_forward (deeplay.components.transformer.enc.TransformerEncoderLayer attribute) fetch_embeddings() (deeplay.components.transformer.pemb.IndexedPositionalEmbedding method) filter() (deeplay.module.Selection method) find_local_maxima() (deeplay.applications.detection.lodestar.lodestar.LodeSTAR static method) fit() (deeplay.applications.application.Application method) Flatten (class in deeplay.ops.shape) forward() (deeplay.activelearning.strategies.adversarial.adversarial.AdversarialStrategy method) (deeplay.activelearning.strategies.uncertainty.UncertaintyStrategy method) (deeplay.activelearning.strategies.uniform.UniformStrategy method) (deeplay.applications.application.Application method) (deeplay.applications.autoencoders.vae.VariationalAutoEncoder method) (deeplay.applications.autoencoders.wae.WassersteinAutoEncoder method) (deeplay.applications.classification.binary.BinaryClassifier method) (deeplay.applications.classification.categorical.CategoricalClassifier method) (deeplay.applications.classification.classifier.Classifier method) (deeplay.applications.classification.multilabel.MultiLabelClassifier method) (deeplay.applications.detection.lodestar.lodestar.LodeSTAR method) (deeplay.applications.regression.regressor.Regressor method) (deeplay.blocks.base.BaseBlock method) (deeplay.blocks.ls.LayerSkip method) (deeplay.blocks.residual.BaseResidual method) (deeplay.blocks.sequence.sequence1d.Sequence1dBlock method) (deeplay.blocks.sequence.sequence1d.SequenceDropout method) (deeplay.blocks.sequential.SequentialBlock method) (deeplay.components.cnn.cnn.ConvolutionalNeuralNetwork method) (deeplay.components.cnn.encdec.ConvolutionalDecoder2d method) (deeplay.components.cnn.encdec.ConvolutionalEncoder2d method) (deeplay.components.cnn.encdec.ConvolutionalEncoderDecoder2d method) (deeplay.components.cnn.encdec.UNet2d method) (deeplay.components.dict.AddDict method) (deeplay.components.dict.FromDict method) (deeplay.components.diffusion.attention_unet.AttentionBlock method) (deeplay.components.diffusion.attention_unet.AttentionUNet method) (deeplay.components.diffusion.attention_unet.FeatureIntegrationModule method) (deeplay.components.diffusion.attention_unet.UNetDecoder method) (deeplay.components.diffusion.attention_unet.UNetEncoder method) (deeplay.components.gnn.gcn.gcn.GraphConvolutionalNeuralNetwork method) (deeplay.components.gnn.gcn.normalization.dense_laplacian_normalization method) (deeplay.components.gnn.gcn.normalization.sparse_laplacian_normalization method) (deeplay.components.gnn.mpn.cla.CombineLayerActivation method) (deeplay.components.gnn.mpn.ct.CombineTransform method) (deeplay.components.gnn.mpn.ldw.LearnableDistancewWeighting method) (deeplay.components.gnn.mpn.mpn.MessagePassingNeuralNetwork method) (deeplay.components.gnn.mpn.propagation.Max method) (deeplay.components.gnn.mpn.propagation.Mean method) (deeplay.components.gnn.mpn.propagation.Min method) (deeplay.components.gnn.mpn.propagation.Prod method) (deeplay.components.gnn.mpn.propagation.Sum method) (deeplay.components.gnn.mpn.propagation.WeightedSum method) (deeplay.components.gnn.mpn.rmpn.ResidualMessagePassingNeuralNetwork method) (deeplay.components.mlp.MultiLayerPerceptron method) (deeplay.components.rnn.RecurrentNeuralNetwork method) (deeplay.components.transformer.enc.TransformerEncoderLayer method) (deeplay.components.transformer.ldsn.LayerDropoutSkipNormalization method) (deeplay.components.transformer.pemb.IndexedPositionalEmbedding method) (deeplay.components.transformer.pemb.PositionalEmbedding method) (deeplay.components.transformer.satt.MultiheadSelfAttention method) (deeplay.external.layer.Layer method) (deeplay.list.Parallel method) (deeplay.list.Sequential method) (deeplay.models.backbones.resnet18.BackboneResnet18 method) (deeplay.models.discriminators.dcgan.DCGANDiscriminator method) (deeplay.models.generators.cyclegan.CycleGANResnetGenerator method) (deeplay.models.generators.dcgan.DCGANGenerator method) (deeplay.models.gnn.gtogmpm.GlobalMeanPool method) (deeplay.models.gnn.mpm.MPM method) (deeplay.models.recurrentmodel.RecurrentModel method) (deeplay.models.visiontransformer.Patchify method) (deeplay.models.visiontransformer.ViT method) (deeplay.module.DeeplayModule method) (deeplay.ops.attention.cross.MultiheadCrossAttention method) (deeplay.ops.attention.self.MultiheadSelfAttention method) (deeplay.ops.logs.FromLogs method) (deeplay.ops.merge.Add method) (deeplay.ops.merge.Cat method) (deeplay.ops.merge.Lambda method) (deeplay.ops.merge.MergeOp method) (deeplay.ops.shape.Flatten method) (deeplay.ops.shape.Permute method) (deeplay.ops.shape.Squeeze method) (deeplay.ops.shape.Unsqueeze method) (deeplay.ops.shape.View method)

FractionCriterion (class in deeplay.activelearning.criterion) FromDict (class in deeplay.components.dict) FromLogs (class in deeplay.ops.logs)

G

get_annotated_data() (deeplay.activelearning.data.ActiveLearningDataset method) get_annotated_labels() (deeplay.activelearning.data.ActiveLearningDataset method) get_annotated_samples() (deeplay.activelearning.data.ActiveLearningDataset method) get_argspec() (deeplay.external.external.External method) (deeplay.module.DeeplayModule class method) get_default_activation() (deeplay.blocks.base.BaseBlock method) (deeplay.blocks.conv.conv2d.Conv2dBlock method) (deeplay.blocks.linear.linear.LinearBlock method) get_default_merge() (deeplay.blocks.base.BaseBlock method) (deeplay.blocks.conv.conv2d.Conv2dBlock method) (deeplay.blocks.linear.linear.LinearBlock method) get_default_normalization() (deeplay.blocks.base.BaseBlock method) (deeplay.blocks.conv.conv2d.Conv2dBlock method) (deeplay.blocks.linear.linear.LinearBlock method) (deeplay.blocks.sequence.sequence1d.Sequence1dBlock method) get_default_shortcut() (deeplay.blocks.base.BaseBlock method) (deeplay.blocks.conv.conv2d.Conv2dBlock method) (deeplay.blocks.linear.linear.LinearBlock method) get_detection_score() (deeplay.applications.detection.lodestar.lodestar.LodeSTAR class method) get_forward_args() (deeplay.components.gnn.mpn.cla.CombineLayerActivation method) (deeplay.components.gnn.mpn.ct.CombineTransform method) (deeplay.components.gnn.mpn.transformation.Transform method) (deeplay.components.gnn.mpn.update.Update method)

get_from_user_config() (deeplay.module.DeeplayModule method) get_init_args() (deeplay.external.external.External method) (deeplay.module.DeeplayModule method) get_num_annotated() (deeplay.activelearning.data.ActiveLearningDataset method) get_signature() (deeplay.external.external.External method) (deeplay.module.DeeplayModule class method) get_subconfig() (deeplay.module.DeeplayModule method) get_unannotated_data() (deeplay.activelearning.data.ActiveLearningDataset method) get_unannotated_labels() (deeplay.activelearning.data.ActiveLearningDataset method) get_unannotated_samples() (deeplay.activelearning.data.ActiveLearningDataset method) get_user_configuration() (deeplay.module.DeeplayModule method) getitem_with_selections() (deeplay.module.DeeplayModule method) GlobalMeanPool (class in deeplay.models.gnn.gtogmpm) gradient_penalty() (deeplay.activelearning.strategies.adversarial.adversarial.AdversarialStrategy method) GraphConvolutionalNeuralNetwork (class in deeplay.components.gnn.gcn.gcn) GraphToEdgeMAGIK (class in deeplay.models.gnn.gtoeMAGIK) GraphToEdgeMPM (class in deeplay.models.gnn.gtoempm) GraphToGlobalMPM (class in deeplay.models.gnn.gtogmpm) GraphToNodeMPM (class in deeplay.models.gnn.gtonmpm) GRU() (deeplay.blocks.sequence.sequence1d.Sequence1dBlock method)

H

hasattr() (deeplay.module.Selection method) hidden (deeplay.components.cnn.cnn.ConvolutionalNeuralNetwork attribute) (deeplay.components.gnn.gcn.gcn.GraphConvolutionalNeuralNetwork attribute) (deeplay.components.gnn.mpn.mpn.MessagePassingNeuralNetwork attribute) (deeplay.components.gnn.mpn.rmpn.ResidualMessagePassingNeuralNetwork attribute) (deeplay.components.mlp.MultiLayerPerceptron attribute) (deeplay.components.rnn.RecurrentNeuralNetwork attribute) (deeplay.components.transformer.enc.TransformerEncoderLayer attribute) (deeplay.models.recurrentmodel.RecurrentModel attribute) (deeplay.models.visiontransformer.ViT attribute)

history (deeplay.callbacks.history.LogHistory attribute) (deeplay.trainer.Trainer attribute)

I

IndexedPositionalEmbedding (class in deeplay.components.transformer.pemb) initialize() (deeplay.initializers.initializer.Initializer method) (deeplay.module.DeeplayModule method) initialize_tensor() (deeplay.initializers.constant.Constant method) (deeplay.initializers.initializer.Initializer method) (deeplay.initializers.kaiming.Kaiming method) (deeplay.initializers.normal.Normal method) Initializer (class in deeplay.initializers.initializer) input (deeplay.components.cnn.cnn.ConvolutionalNeuralNetwork attribute) (deeplay.components.gnn.gcn.gcn.GraphConvolutionalNeuralNetwork attribute) (deeplay.components.gnn.mpn.mpn.MessagePassingNeuralNetwork attribute) (deeplay.components.gnn.mpn.rmpn.ResidualMessagePassingNeuralNetwork attribute) (deeplay.components.mlp.MultiLayerPerceptron attribute) (deeplay.components.rnn.RecurrentNeuralNetwork attribute) (deeplay.components.transformer.enc.TransformerEncoderLayer attribute) (deeplay.models.recurrentmodel.RecurrentModel attribute) (deeplay.models.visiontransformer.ViT attribute)

insert() (deeplay.blocks.sequential.SequentialBlock method) (deeplay.list.LayerList method) (deeplay.module.Selection method) insert_dropout() (deeplay.blocks.sequence.sequence1d.Sequence1dBlock method) (deeplay.blocks.sequential.SequentialBlock method) (deeplay.module.Selection method) instance_count (deeplay.decorators.Callback attribute) is_constructing (deeplay.module.DeeplayModule attribute) is_recurrent (deeplay.blocks.sequence.sequence1d.Sequence1dBlock attribute) isinstance() (deeplay.module.Selection method)

J

JointDataset (class in deeplay.activelearning.data)

K

Kaiming (class in deeplay.initializers.kaiming) kwargs (deeplay.external.external.External attribute) (deeplay.external.optimizers.optimizer.Optimizer attribute) (deeplay.module.DeeplayModule attribute)

L

L1Upper (class in deeplay.activelearning.criterion) L2Upper (class in deeplay.activelearning.criterion) Lambda (class in deeplay.ops.merge) LargeMLP (class in deeplay.models.mlp.sized) Layer (class in deeplay.external.layer) layer (deeplay.components.cnn.cnn.ConvolutionalNeuralNetwork attribute) (deeplay.components.mlp.MultiLayerPerceptron attribute) (deeplay.components.rnn.RecurrentNeuralNetwork attribute) (deeplay.models.recurrentmodel.RecurrentModel attribute) LayerActivation (class in deeplay.blocks.la) LayerActivationNormalization (class in deeplay.blocks.lan) LayerActivationNormalizationDropout (class in deeplay.blocks.land) LayerActivationNormalizationUpsample (class in deeplay.blocks.lanu) LayerDropoutSkipNormalization (class in deeplay.components.transformer.ldsn) LayerList (class in deeplay.list) LayerSkip (class in deeplay.blocks.ls)

LearnableDistancewWeighting (class in deeplay.components.gnn.mpn.ldw) LeastConfidence (class in deeplay.activelearning.criterion) LinearBlock (class in deeplay.blocks.linear.linear) list_names() (deeplay.module.Selection method) local_consistency() (deeplay.applications.detection.lodestar.lodestar.LodeSTAR static method) LodeSTAR (class in deeplay.applications.detection.lodestar.lodestar) log() (deeplay.applications.application.Application method) log_input() (deeplay.module.DeeplayModule method) (deeplay.module.Selection method) log_metrics() (deeplay.applications.application.Application method) log_output() (deeplay.module.DeeplayModule method) (deeplay.module.Selection method) log_tensor() (deeplay.module.DeeplayModule method) LogHistory (class in deeplay.callbacks.history) logs (deeplay.module.DeeplayModule attribute) LSTM() (deeplay.blocks.sequence.sequence1d.Sequence1dBlock method)

M

Margin (class in deeplay.activelearning.criterion) Max (class in deeplay.components.gnn.mpn.propagation) Mean (class in deeplay.components.gnn.mpn.propagation) MediumMLP (class in deeplay.models.mlp.sized) MergeOp (class in deeplay.ops.merge) MessagePassingNeuralNetwork (class in deeplay.components.gnn.mpn.mpn) metrics_preprocess() (deeplay.applications.application.Application method) (deeplay.applications.classification.binary.BinaryClassifier method) Min (class in deeplay.components.gnn.mpn.propagation) module deeplay.activelearning.criterion deeplay.activelearning.data deeplay.activelearning.strategies.adversarial.adversarial deeplay.activelearning.strategies.strategy deeplay.activelearning.strategies.uncertainty deeplay.activelearning.strategies.uniform deeplay.applications.application deeplay.applications.autoencoders.vae deeplay.applications.autoencoders.wae deeplay.applications.classification.binary deeplay.applications.classification.categorical deeplay.applications.classification.classifier deeplay.applications.classification.multilabel deeplay.applications.detection.lodestar.dataset deeplay.applications.detection.lodestar.lodestar deeplay.applications.detection.lodestar.transforms deeplay.applications.regression.regressor deeplay.blocks.base deeplay.blocks.block deeplay.blocks.conv.conv2d deeplay.blocks.la deeplay.blocks.lan deeplay.blocks.land deeplay.blocks.lanu deeplay.blocks.linear.linear deeplay.blocks.ls deeplay.blocks.plan deeplay.blocks.recurrentblock deeplay.blocks.residual deeplay.blocks.sequence.sequence1d deeplay.blocks.sequential deeplay.callbacks.history deeplay.callbacks.progress deeplay.components.cnn.cnn deeplay.components.cnn.encdec deeplay.components.dict deeplay.components.diffusion.attention_unet deeplay.components.gnn.gcn.gcn deeplay.components.gnn.gcn.normalization deeplay.components.gnn.mpn.cla deeplay.components.gnn.mpn.ct deeplay.components.gnn.mpn.ldw deeplay.components.gnn.mpn.mpn deeplay.components.gnn.mpn.propagation deeplay.components.gnn.mpn.rmpn deeplay.components.gnn.mpn.transformation deeplay.components.gnn.mpn.update deeplay.components.gnn.tpu deeplay.components.mlp deeplay.components.rnn deeplay.components.transformer.enc deeplay.components.transformer.ldsn deeplay.components.transformer.pemb deeplay.components.transformer.satt deeplay.decorators deeplay.external.external deeplay.external.layer deeplay.external.optimizers.adam deeplay.external.optimizers.optimizer deeplay.external.optimizers.rmsprop deeplay.external.optimizers.sgd deeplay.initializers.constant deeplay.initializers.initializer deeplay.initializers.kaiming deeplay.initializers.normal deeplay.list deeplay.meta deeplay.models.backbones.resnet18 deeplay.models.discriminators.cyclegan deeplay.models.discriminators.dcgan deeplay.models.generators.cyclegan deeplay.models.generators.dcgan deeplay.models.gnn.gtoeMAGIK deeplay.models.gnn.gtoempm deeplay.models.gnn.gtogmpm deeplay.models.gnn.gtonmpm deeplay.models.gnn.mpm deeplay.models.mlp.sized deeplay.models.recurrentmodel deeplay.models.visiontransformer deeplay.module deeplay.ops.attention.cross deeplay.ops.attention.self deeplay.ops.logs deeplay.ops.merge deeplay.ops.shape deeplay.shapes deeplay.trainer

MPM (class in deeplay.models.gnn.mpm) multi() (deeplay.blocks.base.BaseBlock method) multihead (deeplay.components.transformer.enc.TransformerEncoderLayer attribute) MultiheadCrossAttention (class in deeplay.ops.attention.cross) MultiheadSelfAttention (class in deeplay.components.transformer.satt) (class in deeplay.ops.attention.self) MultiLabelClassifier (class in deeplay.applications.classification.multilabel) MultiLayerPerceptron (class in deeplay.components.mlp)

N

named_children() (deeplay.applications.application.Application method) new() (deeplay.module.DeeplayModule method) Normal (class in deeplay.initializers.normal) normalization (deeplay.components.cnn.cnn.ConvolutionalNeuralNetwork attribute) (deeplay.components.cnn.encdec.ConvolutionalEncoderDecoder2d attribute) (deeplay.components.mlp.MultiLayerPerceptron attribute) (deeplay.components.rnn.RecurrentNeuralNetwork attribute) (deeplay.models.recurrentmodel.RecurrentModel attribute)

normalize() (deeplay.applications.detection.lodestar.lodestar.LodeSTAR method) (deeplay.components.gnn.gcn.normalization.dense_laplacian_normalization method) (deeplay.components.gnn.gcn.normalization.sparse_laplacian_normalization method) normalized() (deeplay.blocks.base.BaseBlock method) (deeplay.blocks.conv.conv2d.Conv2dBlock method) (deeplay.components.cnn.cnn.ConvolutionalNeuralNetwork method) normed_leaky() (in module deeplay.models.mlp.sized) not_top_level() (in module deeplay.meta)

O

on_train_batch_end() (deeplay.callbacks.history.LogHistory method) on_train_end() (deeplay.applications.detection.lodestar.lodestar.LodeSTAR method) on_train_epoch_end() (deeplay.callbacks.history.LogHistory method) on_train_start() (deeplay.activelearning.strategies.strategy.Strategy method) on_validation_epoch_end() (deeplay.callbacks.history.LogHistory method) Optimizer (class in deeplay.external.optimizers.optimizer) output (deeplay.components.cnn.cnn.ConvolutionalNeuralNetwork attribute) (deeplay.components.gnn.gcn.gcn.GraphConvolutionalNeuralNetwork attribute) (deeplay.components.gnn.mpn.mpn.MessagePassingNeuralNetwork attribute) (deeplay.components.gnn.mpn.rmpn.ResidualMessagePassingNeuralNetwork attribute) (deeplay.components.mlp.MultiLayerPerceptron attribute) (deeplay.components.rnn.RecurrentNeuralNetwork attribute) (deeplay.components.transformer.enc.TransformerEncoderLayer attribute) (deeplay.models.recurrentmodel.RecurrentModel attribute) (deeplay.models.visiontransformer.ViT attribute)

P

Parallel (class in deeplay.list) params() (deeplay.external.optimizers.optimizer.Optimizer method) Patchify (class in deeplay.models.visiontransformer) Permute (class in deeplay.ops.shape) plot() (deeplay.callbacks.history.LogHistory method) pool (deeplay.components.cnn.encdec.ConvolutionalEncoderDecoder2d attribute) pooled() (deeplay.applications.detection.lodestar.lodestar.LodeSTAR method) (deeplay.blocks.conv.conv2d.Conv2dBlock method) (deeplay.components.cnn.cnn.ConvolutionalNeuralNetwork method) PoolLayerActivationNormalization (class in deeplay.blocks.plan) pop() (deeplay.list.LayerList method) PositionalEmbedding (class in deeplay.components.transformer.pemb) predict() (deeplay.module.DeeplayModule method)

predict_step() (deeplay.applications.application.Application method) prefix() (deeplay.module.Config method) (deeplay.module.ConfigItem method) (deeplay.module.DetachedConfigItem method) prepend() (deeplay.blocks.sequential.SequentialBlock method) (deeplay.module.Selection method) prepend_dropout() (deeplay.blocks.sequence.sequence1d.Sequence1dBlock method) (deeplay.blocks.sequential.SequentialBlock method) (deeplay.module.Selection method) Prod (class in deeplay.components.gnn.mpn.propagation) ProductCriterion (class in deeplay.activelearning.criterion) propagate (deeplay.components.gnn.gcn.gcn.GraphConvolutionalNeuralNetwork attribute) (deeplay.components.gnn.mpn.mpn.MessagePassingNeuralNetwork attribute) (deeplay.components.gnn.mpn.rmpn.ResidualMessagePassingNeuralNetwork attribute)

Q

query() (deeplay.activelearning.strategies.strategy.Strategy method) query_and_update() (deeplay.activelearning.strategies.strategy.Strategy method) query_strategy() (deeplay.activelearning.strategies.adversarial.adversarial.AdversarialStrategy method) (deeplay.activelearning.strategies.strategy.Strategy method) (deeplay.activelearning.strategies.uncertainty.UncertaintyStrategy method) (deeplay.activelearning.strategies.uniform.UniformStrategy method)

query_train() (deeplay.activelearning.strategies.strategy.Strategy method) query_val() (deeplay.activelearning.strategies.strategy.Strategy method)

R

RandomRotation2d (class in deeplay.applications.detection.lodestar.transforms) RandomTranslation2d (class in deeplay.applications.detection.lodestar.transforms) RecurrentBlock (class in deeplay.blocks.recurrentblock) RecurrentModel (class in deeplay.models.recurrentmodel) RecurrentNeuralNetwork (class in deeplay.components.rnn) reduce() (deeplay.applications.detection.lodestar.lodestar.LodeSTAR method) ReferringLayerList (class in deeplay.list) register_after_build_hook() (deeplay.module.DeeplayModule method) register_after_init_hook() (deeplay.module.DeeplayModule method) register_before_build_hook() (deeplay.module.DeeplayModule method) register_computed() (deeplay.external.layer.Layer class method) register_style() (deeplay.module.DeeplayModule class method) Regressor (class in deeplay.applications.regression.regressor) remove() (deeplay.blocks.sequential.SequentialBlock method) (deeplay.list.LayerList method) (deeplay.module.Selection method) remove_derived_configurations() (deeplay.module.Config method) remove_dropout() (deeplay.blocks.sequential.SequentialBlock method) (deeplay.module.Selection method)

reparameterize() (deeplay.applications.autoencoders.vae.VariationalAutoEncoder method) replace() (deeplay.module.DeeplayModule method) (deeplay.module.Selection method) reset_model() (deeplay.activelearning.strategies.strategy.Strategy method) Reshape (class in deeplay.ops.shape) residual() (in module deeplay.blocks.conv.conv2d) ResidualMessagePassingNeuralNetwork (class in deeplay.components.gnn.mpn.rmpn) resnet() (in module deeplay.models.backbones.resnet18) resnet18() (in module deeplay.models.backbones.resnet18) resnet18_input() (in module deeplay.models.backbones.resnet18) reverse_two_operation() (in module deeplay.shapes) rich_progress_bar() (deeplay.trainer.Trainer method) RichProgressBar (class in deeplay.callbacks.progress) RMSprop (class in deeplay.external.optimizers.rmsprop) RNN() (deeplay.blocks.sequence.sequence1d.Sequence1dBlock method) root_module (deeplay.module.DeeplayModule attribute) run_with_dummy_data() (deeplay.blocks.sequence.sequence1d.Sequence1dBlock method)

S

score() (deeplay.activelearning.criterion.ActiveLearningCriterion method) (deeplay.activelearning.criterion.Constant method) (deeplay.activelearning.criterion.Entropy method) (deeplay.activelearning.criterion.FractionCriterion method) (deeplay.activelearning.criterion.L1Upper method) (deeplay.activelearning.criterion.L2Upper method) (deeplay.activelearning.criterion.LeastConfidence method) (deeplay.activelearning.criterion.Margin method) (deeplay.activelearning.criterion.ProductCriterion method) (deeplay.activelearning.criterion.SumCriterion method) Selection (class in deeplay.module) Sequence1dBlock (class in deeplay.blocks.sequence.sequence1d) SequenceDropout (class in deeplay.blocks.sequence.sequence1d) Sequential (class in deeplay.list) SequentialBlock (class in deeplay.blocks.sequential) set() (deeplay.blocks.base.BaseBlock method) (deeplay.module.DeeplayModule method) set_dropout() (deeplay.blocks.sequential.SequentialBlock method) (deeplay.module.Selection method) set_for_tags() (deeplay.module.Config method) set_input_map() (deeplay.blocks.block.Block method) (deeplay.list.LayerList method) (deeplay.module.DeeplayModule method) (deeplay.module.Selection method) set_output_map() (deeplay.blocks.block.Block method) (deeplay.list.LayerList method) (deeplay.module.DeeplayModule method) (deeplay.module.Selection method)

set_root_module() (deeplay.module.DeeplayModule method) SGD (class in deeplay.external.optimizers.sgd) shortcut() (deeplay.blocks.base.BaseBlock method) sinusoidal_init_() (in module deeplay.components.transformer.pemb) SmallMLP (class in deeplay.models.mlp.sized) source_depth (deeplay.module.ConfigItem attribute) (deeplay.module.DetachedConfigItem attribute) sparse_laplacian_normalization (class in deeplay.components.gnn.gcn.normalization) spatial_cross_attention() (in module deeplay.blocks.conv.conv2d) spatial_self_attention() (in module deeplay.blocks.conv.conv2d) spatial_transformer() (in module deeplay.blocks.conv.conv2d) Squeeze (class in deeplay.ops.shape) stateful() (in module deeplay.decorators) step_history (deeplay.callbacks.history.LogHistory attribute) Strategy (class in deeplay.activelearning.strategies.strategy) strided() (deeplay.blocks.conv.conv2d.Conv2dBlock method) (deeplay.components.cnn.cnn.ConvolutionalNeuralNetwork method) (deeplay.components.cnn.encdec.ConvolutionalEncoder2d method) style() (deeplay.module.DeeplayModule method) styled() (deeplay.module.DeeplayModule method) Sum (class in deeplay.components.gnn.mpn.propagation) (deeplay.components.gnn.mpn.propagation.Mean attribute) SumCriterion (class in deeplay.activelearning.criterion)

T

tags (deeplay.module.DeeplayModule attribute) take() (deeplay.module.Config method) test() (deeplay.applications.application.Application method) test_dataloader() (deeplay.activelearning.strategies.strategy.Strategy method) test_preprocess() (deeplay.applications.application.Application method) (deeplay.applications.detection.lodestar.lodestar.LodeSTAR method) test_step() (deeplay.activelearning.strategies.strategy.Strategy method) (deeplay.applications.application.Application method) tqdm_progress_bar() (deeplay.trainer.Trainer method) TQDMProgressBar (class in deeplay.callbacks.progress) train_dataloader() (deeplay.activelearning.strategies.adversarial.adversarial.AdversarialStrategy method) (deeplay.activelearning.strategies.strategy.Strategy method) train_preprocess() (deeplay.applications.application.Application method) (deeplay.applications.detection.lodestar.lodestar.LodeSTAR method) Trainer (class in deeplay.trainer) trainer (deeplay.applications.application.Application attribute) training_step() (deeplay.activelearning.strategies.adversarial.adversarial.AdversarialStrategy method) (deeplay.activelearning.strategies.uncertainty.UncertaintyStrategy method) (deeplay.activelearning.strategies.uniform.UniformStrategy method) (deeplay.applications.application.Application method) (deeplay.applications.autoencoders.vae.VariationalAutoEncoder method) (deeplay.applications.autoencoders.wae.WassersteinAutoEncoder method)

Transform (class in deeplay.applications.detection.lodestar.transforms) (class in deeplay.components.gnn.mpn.transformation) transform (deeplay.components.gnn.gcn.gcn.GraphConvolutionalNeuralNetwork attribute) (deeplay.components.gnn.mpn.mpn.MessagePassingNeuralNetwork attribute) (deeplay.components.gnn.mpn.rmpn.ResidualMessagePassingNeuralNetwork attribute) transform_data() (deeplay.applications.detection.lodestar.lodestar.LodeSTAR method) TransformerEncoderLayer (class in deeplay.components.transformer.enc) TransformPropagateUpdate (class in deeplay.components.gnn.tpu) Transforms (class in deeplay.applications.detection.lodestar.transforms) transposed() (deeplay.blocks.conv.conv2d.Conv2dBlock method) try_attach_detached_configurations() (deeplay.module.Config method) two_operation() (in module deeplay.shapes)

U

unary_operation() (in module deeplay.shapes) UncertaintyStrategy (class in deeplay.activelearning.strategies.uncertainty) UNet2d (class in deeplay.components.cnn.encdec) UNetDecoder (class in deeplay.components.diffusion.attention_unet) UNetEncoder (class in deeplay.components.diffusion.attention_unet) UniformStrategy (class in deeplay.activelearning.strategies.uniform) Unsqueeze (class in deeplay.ops.shape)

Update (class in deeplay.components.gnn.mpn.update) update (deeplay.components.gnn.gcn.gcn.GraphConvolutionalNeuralNetwork attribute) (deeplay.components.gnn.mpn.mpn.MessagePassingNeuralNetwork attribute) (deeplay.components.gnn.mpn.rmpn.ResidualMessagePassingNeuralNetwork attribute) update() (deeplay.module.Config method) upsample (deeplay.components.cnn.encdec.ConvolutionalEncoderDecoder2d attribute) upsampled() (deeplay.blocks.conv.conv2d.Conv2dBlock method) (deeplay.components.cnn.encdec.ConvolutionalDecoder2d method)

V

val_preprocess() (deeplay.applications.application.Application method) (deeplay.applications.detection.lodestar.lodestar.LodeSTAR method) validate_after_build() (deeplay.blocks.residual.Conv2dResidual method) validation_step() (deeplay.activelearning.strategies.strategy.Strategy method) (deeplay.applications.application.Application method)

Variable (class in deeplay.shapes) VariationalAutoEncoder (class in deeplay.applications.autoencoders.vae) View (class in deeplay.ops.shape) ViT (class in deeplay.models.visiontransformer)

W

WassersteinAutoEncoder (class in deeplay.applications.autoencoders.wae)

WeightedSum (class in deeplay.components.gnn.mpn.propagation)

X

XLargeMLP (class in deeplay.models.mlp.sized)