GapNet API Documentation Modules Classes Names
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Class Hierarchy

  • DisplayedTransform
    • src.dnn_modelling.dataloader.datablock.TensorTemporalSubsamplingTransform - Undocumented
  • dnn_modelling.modules.NonTorchModel
    • src.dnn_modelling.models.moore_and_glasberg_1996.MooreAndGlasberg1996 - Undocumented
  • enum.Enum
    • src.config.paths.LocationNames - Enum for locations
  • fastai.callback.core.Callback
    • src.dnn_modelling.callbacks.SaveStatedictEveryNEpochCallback - Callback that saves the models statedict at each Nth epoch.
  • fastai.callback.tracker.TrackerCallback
    • src.dnn_modelling.callbacks.SaveStatedictCallback - Callback used with fastai when training the neural-network models for saving the statedict of the model after each epoch, given the model improved over the best model so far.
  • src.dnn_modelling.modules.NonTorchModel - Undocumented
  • src.psychoacoustics.updown.UpDownDetector - UpDownDetector
  • src.testing.print.PrintContext - Undocumented
    • src.testing.print.TimeAndPrintContext - Undocumented
  • src.typing_tools.annotation_checkers.AnnotatedTypeChecker - Parent class required for any annotation checker
    • src.typing_tools.annotation_checkers.ExactLen - No class docstring; 1/1 instance variable, 0/2 method documented
    • src.typing_tools.annotation_checkers.MaxLen - No class docstring; 2/2 instance variables, 0/2 method documented
    • src.typing_tools.annotation_checkers.MinLen - No class docstring; 2/2 instance variables, 0/2 method documented
    • src.typing_tools.annotation_checkers.PathExists - Undocumented
    • src.typing_tools.annotation_checkers.ValueRange - No class docstring; 4/4 instance variables, 0/3 method documented
  • torch.nn.AvgPool2d
    • src.dnn_modelling.modules.AvgPool2dSamePadding - Undocumented
  • torch.nn.Conv2d
    • src.dnn_modelling.modules.Conv2dSamePadding - Undocumented
  • torch.nn.MaxPool2d
    • src.dnn_modelling.modules.MaxPool2dSamePadding - Undocumented
  • torch.nn.Module
    • src.dnn_modelling.models.kell_et_al_2018.KellEtAl2018 - Undocumented
    • src.dnn_modelling.models.neural_metric__lindahl_2022.NeuralMetric - Undocumented
    • src.dnn_modelling.modules.WeightedAvgPool2d - Undocumented
      • src.dnn_modelling.modules.HannAvgPool2d - As specified by Saddler et al 2020 The Hann window H size follows from the stride:
      • src.dnn_modelling.modules.WeightedAvgPool2dSamePadding - Undocumented
  • torch.nn.Sequential
    • src.dnn_modelling.models.haro_2019.HaroEtAl2020_noSplit_nClass - Undocumented
    • src.dnn_modelling.models.kell_et_al_2018.KellEtAl2018_noSplit_nClass - Undocumented
    • src.dnn_modelling.models.kell_et_al_2018.KellEtAl2018_smaller - Same as KellEtAll2018 no split, n-class but with a reduced number of channels and possibility to set size of hidden layer
    • src.dnn_modelling.models.lindahl_2022.Lindahl_model_1 - Similar to Kell et al., but using temporally wider filters
    • src.dnn_modelling.models.lindahl_2022.Lindahl_model_2 - Similar to Kell et al., but using temporal convolutions only
    • src.dnn_modelling.models.lindahl_2022.Lindahl_model_3 - Similar to Kell et al., but using temporal convolutions only
    • src.dnn_modelling.models.lindahl_2022.Lindahl_model_3b - Similar to Kell et al., but using temporal convolutions only
    • src.dnn_modelling.models.lindahl_2022.Lindahl_model_3c - Similar to Kell et al., but using temporal convolutions only
    • src.dnn_modelling.models.lindahl_2022.Lindahl_model_4 - Similar to Kell et al., but using temporal convolutions only
    • src.dnn_modelling.models.lindahl_2022.Lindahl_model_5 - Similar to Kell et al., but using temporal convolutions only
    • src.dnn_modelling.models.lindahl_2022.Lindahl_model_6 - Similar to Kell et al., but using temporal convolutions only
    • src.dnn_modelling.models.saddler_et_al_2020.SaddlerEtAl2020 - Undocumented
  • typing.Protocol
    • src.data_creation.ramp.ramp.RampFunction - Protocol signature for ramp functions
    • src.data_creation.stimulus.gapdetection.GapLengthGenerator - Protocol signature for ramp functions
    • src.data_creation.stimulus.noise.WhiteNoiseFunction - Undocumented
API Documentation for GapNet, generated by pydoctor 23.4.1 at 2023-06-28 16:52:51.