Delira

• Data Loading
  • Arbitrary Data
    • Dataset
      • AbstractDataset
      • BaseLazyDataset
      • BaseCacheDataset
      • ConcatDataset
    • Dataloader
      • BaseDataLoader
    • Datamanager
      • BaseDataManager
    • Utils
      • default_load_fn_2d
  • Nii
    • BaseLabelGenerator
    • load_sample_nii
  • Sampler
    • AbstractSampler
    • LambdaSampler
    • RandomSampler
    • PrevalenceRandomSampler
    • StoppingPrevalenceRandomSampler
    • SequentialSampler
    • PrevalenceSequentialSampler
    • StoppingPrevalenceSequentialSampler
    • WeightedRandomSampler
• IO
  • torch_load_checkpoint
  • torch_save_checkpoint
  • tf_load_checkpoint
  • tf_save_checkpoint
• Logging
  • MultiStreamHandler
  • TrixiHandler
• Models
  • AbstractNetwork
  • AbstractPyTorchNetwork
  • AbstractTfNetwork
    • Classification
      • ClassificationNetworkBasePyTorch
      • VGG3DClassificationNetworkPyTorch
      • ClassificationNetworkBaseTf
    • Generative Adversarial Networks
      • GenerativeAdversarialNetworkBasePyTorch
    • Segmentation
      • UNet2dPyTorch
      • UNet3dPyTorch
• Training
  • Parameters
    • Parameters
  • Network Trainer
    • AbstractNetworkTrainer
    • PyTorchNetworkTrainer
    • TfNetworkTrainer
  • Experiment
    • AbstractExperiment
    • PyTorchExperiment
    • TfExperiment
  • Callbacks
    • AbstractCallback
    • EarlyStopping
    • DefaultPyTorchSchedulerCallback
    • CosineAnnealingLRCallback
    • ExponentialLRCallback
    • LambdaLRCallback
    • MultiStepLRCallback
    • ReduceLROnPlateauCallback
    • StepLRCallback
    • CosineAnnealingLRCallbackPyTorch
    • ExponentialLRCallbackPyTorch
    • LambdaLRCallbackPyTorch
    • MultiStepLRCallbackPyTorch
    • ReduceLROnPlateauCallbackPyTorch
    • StepLRCallbackPyTorch
  • Losses
    • BCEFocalLossPyTorch
    • BCEFocalLossLogitPyTorch
  • AurocMetricPyTorch
  • AccurarcyMetricPyTorch
  • pytorch_batch_to_numpy
  • pytorch_tensor_to_numpy
  • float_to_pytorch_tensor
  • create_optims_default_pytorch
  • create_optims_gan_default_pytorch
  • create_optims_default_tf
• Utilities
• Class Hierarchy Diagrams
  • Data Loading
    • Sampler
  • Logging
  • Models
  • Training
    • Hyperparameters