qumphy.models package

File: qumphy/models/__init__.py Project: 22HLT01 QUMPHY Contact: oskar.pfeffer@ptb.de Gitlab: https://gitlab.com/qumphy Description: init

Subpackages

• qumphy.models.utils package
  • Submodules
    • qumphy.models.utils.conv_blocks module
      • Inception_Block_V1
      • Inception_Block_V2
    • qumphy.models.utils.embed module
      • DataEmbedding
      • DataEmbedding_inverted
      • DataEmbedding_wo_pos
      • FixedEmbedding
      • PatchEmbedding
      • PositionalEmbedding
      • TemporalEmbedding
      • TimeFeatureEmbedding
      • TokenEmbedding
    • qumphy.models.utils.kgactivation module
      • KGActivation
    • qumphy.models.utils.kgloss module
      • KGLoss
      • KGLoss_unified_prediction
    • qumphy.models.utils.masking module
      • ProbMask
      • TriangularCausalMask
    • qumphy.models.utils.mcdropout module
      • MCDropout
    • qumphy.models.utils.pinballloss module
      • PinballLoss
    • qumphy.models.utils.selfattention_family module
      • AttentionLayer
      • FlashAttention
      • FlowAttention
      • FullAttention
      • ProbAttention
      • ReformerLayer
    • qumphy.models.utils.transformer_encdec module
      • ConvLayer
      • Decoder
      • DecoderLayer
      • Encoder
      • EncoderLayer

Submodules

• qumphy.models.alexnet module
  • AlexNet1D
    • AlexNet1D.forward()
  • AlexNet1D_MCD
    • AlexNet1D_MCD.forward()
• qumphy.models.apnea module
  • SleepApneaModule
    • SleepApneaModule.configure_optimizers()
    • SleepApneaModule.forward()
    • SleepApneaModule.predict_step()
    • SleepApneaModule.set_lr_scheduler()
    • SleepApneaModule.test_step()
    • SleepApneaModule.training_step()
    • SleepApneaModule.validation_step()
• qumphy.models.basic_conv1d module
  • AdaptiveConcatPool1d
    • AdaptiveConcatPool1d.forward()
  • Basic_Conv1d
    • Basic_Conv1d.get_layer_groups()
    • Basic_Conv1d.get_output_layer()
    • Basic_Conv1d.set_output_layer()
  • Flatten
    • Flatten.forward()
  • LambdaLayer
    • LambdaLayer.forward()
  • SqueezeExcite1d
    • SqueezeExcite1d.forward()
  • basic1d()
  • bn_drop_lin()
  • create_head1d()
  • fcn()
  • fcn_wang()
  • schirrmeister()
  • sen()
  • weight_init()
• qumphy.models.cnn-gru module
• qumphy.models.deep_ensemble module
  • DeepEnsemble
    • DeepEnsemble.forward()
• qumphy.models.deepbeat module
  • DeepBeatEnsemble
    • DeepBeatEnsemble.forward()
    • DeepBeatEnsemble.load_models()
    • DeepBeatEnsemble.test_step()
  • DeepBeatModule
    • DeepBeatModule.configure_optimizers()
    • DeepBeatModule.forward()
    • DeepBeatModule.predict_step()
    • DeepBeatModule.set_lr_scheduler()
    • DeepBeatModule.test_step()
    • DeepBeatModule.training_step()
    • DeepBeatModule.validation_step()
  • DeepBeatModule_MCD
    • DeepBeatModule_MCD.test_step()
• qumphy.models.dumbnet module
  • DumbNet
    • DumbNet.forward()
• qumphy.models.inception1d module
  • Inception1d
    • Inception1d.forward()
    • Inception1d.get_layer_groups()
    • Inception1d.get_output_layer()
    • Inception1d.set_output_layer()
  • InceptionBackbone
    • InceptionBackbone.forward()
  • InceptionBlock1d
    • InceptionBlock1d.forward()
  • Shortcut1d
    • Shortcut1d.forward()
  • conv()
  • inception1d()
  • noop()
• qumphy.models.inception_mantas module
  • Inception1DBlock
    • Inception1DBlock.forward()
  • Inception1DNet
    • Inception1DNet.forward()
• qumphy.models.itransformer module
  • iTransformer
    • iTransformer.anomaly_detection()
    • iTransformer.classification()
    • iTransformer.forecast()
    • iTransformer.forward()
    • iTransformer.imputation()
• qumphy.models.minirocket module
  • MiniRocket
    • MiniRocket.forward()
  • MiniRocketFeatures
    • MiniRocketFeatures.extract_features()
    • MiniRocketFeatures.fitting
    • MiniRocketFeatures.forward()
    • MiniRocketFeatures.get_quantiles()
    • MiniRocketFeatures.kernel_size
    • MiniRocketFeatures.num_kernels
  • MiniRocketHead
  • get_minirocket_features()
• qumphy.models.ppnet module
  • PPNet
    • PPNet.forward()
• qumphy.models.pulsedb module
  • PulseDBEnsemble
    • PulseDBEnsemble.denormalize()
    • PulseDBEnsemble.forward()
    • PulseDBEnsemble.load_models()
    • PulseDBEnsemble.test_step()
  • PulseDBGaussianLoss
    • PulseDBGaussianLoss.forward()
  • PulseDBModule
    • PulseDBModule.configure_optimizers()
    • PulseDBModule.denormalize_std()
    • PulseDBModule.denormalize_target()
    • PulseDBModule.forward()
    • PulseDBModule.predict_step()
    • PulseDBModule.set_dataset_stats()
    • PulseDBModule.set_lr_scheduler()
    • PulseDBModule.test_step()
    • PulseDBModule.training_step()
    • PulseDBModule.validation_step()
  • PulseDBModule_MCD
    • PulseDBModule_MCD.test_step()
• qumphy.models.s42 module
  • Activation()
  • HippoSSKernel
    • HippoSSKernel.default_state()
    • HippoSSKernel.forward()
    • HippoSSKernel.step()
  • LinearActivation()
  • S4
    • S4.d_output
    • S4.d_state
    • S4.default_state()
    • S4.forward()
    • S4.state_to_tensor
    • S4.step()
  • SSKernelNPLR
    • SSKernelNPLR.default_state()
    • SSKernelNPLR.double_length()
    • SSKernelNPLR.forward()
    • SSKernelNPLR.register()
    • SSKernelNPLR.setup_step()
    • SSKernelNPLR.step()
  • TransposedLinear
    • TransposedLinear.forward()
  • bilinear()
  • cauchy_conj()
  • embed_c2r()
  • get_initializer()
  • krylov()
  • nplr()
  • power()
  • rank_correction()
  • transition()
• qumphy.models.s4_model module
  • S4Model
    • S4Model.forward()
• qumphy.models.timesnet module
  • FFT_for_Period()
  • TimesBlock
    • TimesBlock.forward()
  • TimesNet
    • TimesNet.anomaly_detection()
    • TimesNet.classification()
    • TimesNet.forecast()
    • TimesNet.forward()
    • TimesNet.imputation()
• qumphy.models.xresnet1d module
  • BatchNorm()
  • ConvLayer
  • MHSA1d
    • MHSA1d.forward()
  • NormType
    • NormType.Batch
    • NormType.BatchZero
  • ResBlock
    • ResBlock.forward()
  • ResBlock_dropout
    • ResBlock_dropout.forward()
  • XResNet1d
    • XResNet1d.get_layer_groups()
    • XResNet1d.get_output_layer()
    • XResNet1d.set_output_layer()
  • XResNet1d101
  • XResNet1d50
  • init_cnn()
  • init_default()
  • xbotnet1d101()
  • xbotnet1d152()
  • xbotnet1d50()
  • xresnet1d101()
  • xresnet1d152()
  • xresnet1d18()
  • xresnet1d18_deep()
  • xresnet1d18_deeper()
  • xresnet1d34()
  • xresnet1d34_deep()
  • xresnet1d34_deeper()
  • xresnet1d50()
  • xresnet1d50_MCD()
  • xresnet1d50_deep()
  • xresnet1d50_deeper()