Delira

• Data Loading
  • Arbitrary Data
    • Dataset
      • AbstractDataset
      • BaseLazyDataset
      • BaseCacheDataset
      • BaseExtendCacheDataset
      • ConcatDataset
      • BlankDataset
      • Nii3DLazyDataset
      • Nii3DCacheDataset
      • TorchvisionClassificationDataset:
    • Dataloader
      • BaseDataLoader
    • Datamanager
      • BaseDataManager
      • Augmenter
    • Utils
      • norm_range
      • norm_zero_mean_unit_std
      • is_valid_image_file
      • default_load_fn_2d
      • LoadSample
  • Nii
    • load_nii
    • BaseLabelGenerator
    • load_sample_nii
  • Sampler
    • AbstractSampler
    • LambdaSampler
    • RandomSampler
    • PrevalenceRandomSampler
    • StoppingPrevalenceRandomSampler
    • SequentialSampler
    • PrevalenceSequentialSampler
    • StoppingPrevalenceSequentialSampler
    • WeightedRandomSampler
• IO
  • torch_load_checkpoint
  • torch_save_checkpoint
  • torchscript_load_checkpoint
  • torchscript_save_checkpoint
  • tf_load_checkpoint
  • tf_save_checkpoint
  • tf_eager_load_checkpoint
  • tf_eager_save_checkpoint
  • chainer_load_checkpoint
  • chainer_save_checkpoint
  • sklearn_load_checkpoint
  • sklearn_save_checkpoint
• Logging
• Models
  • AbstractNetwork
    • Backends
      • Chainer
        • AbstractChainerNetwork
        • DataParallelChainerNetwork
        • DataParallelChainerOptimizer
        • ParallelOptimizerUpdateModelParameters
        • ParallelOptimizerCumulateGradientsHook
      • SciKit-Learn
        • SklearnEstimator
      • TensorFLow Eager Execution
        • AbstractTfEagerNetwork
        • DataParallelTfEagerNetwork
      • TensorFlow Graph Execution
        • AbstractTfGraphNetwork
      • PyTorch
        • AbstractPyTorchNetwork
        • DataParallelPyTorchNetwork
        • scale_loss
      • TorchScript
        • AbstractTorchScriptNetwork
• Training
  • Parameters
    • Parameters
  • Network Trainer
    • BaseNetworkTrainer
  • Predictor
    • Predictor
  • Experiment
    • BaseExperiment
  • Backends
    • Chainer
      • ChainerNetworkTrainer
      • ChainerExperiment
      • convert_chainer_to_numpy
      • create_chainer_optims_default
    • SciKit-Learn
      • SklearnEstimatorTrainer
      • SklearnExperiment
      • create_sklearn_optims_default
    • TensorFlow Eager Execution
      • TfEagerNetworkTrainer
      • TfEagerExperiment
      • create_tfeager_optims_default
      • convert_tfeager_to_numpy
    • Tensorflow Graph Execution
      • TfGraphNetworkTrainer
      • TfGraphExperiment
      • initialize_uninitialized
    • PyTorch
      • PyTorchNetworkTrainer
      • PyTorchExperiment
      • create_pytorch_optims_default
      • convert_torch_to_numpy
    • TorchScript
      • TorchScriptNetworkTrainer
      • TorchScriptExperiment
  • Callbacks
    • AbstractCallback
    • EarlyStopping
    • DefaultPyTorchSchedulerCallback
    • CosineAnnealingLRCallback
    • ExponentialLRCallback
    • LambdaLRCallback
    • MultiStepLRCallback
    • ReduceLROnPlateauCallback
    • StepLRCallback
    • CosineAnnealingLRCallbackPyTorch
    • ExponentialLRCallbackPyTorch
    • LambdaLRCallbackPyTorch
    • MultiStepLRCallbackPyTorch
    • ReduceLROnPlateauCallbackPyTorch
    • StepLRCallbackPyTorch
  • Losses
    • BCEFocalLossPyTorch
    • BCEFocalLossLogitPyTorch
  • Metrics
    • SklearnClassificationMetric
    • SklearnAccuracyScore
    • SklearnBalancedAccuracyScore
    • SklearnF1Score
    • SklearnFBetaScore
    • SklearnHammingLoss
    • SklearnJaccardSimilarityScore
    • SklearnLogLoss
    • SklearnMatthewsCorrCoeff
    • SklearnPrecisionScore
    • SklearnRecallScore
    • SklearnZeroOneLoss
    • AurocMetric
  • Utilities
    • recursively_convert_elements
    • convert_to_numpy_identity
• Utilities
• Backend Resolution
  • get_backends
• Debug Mode
  • get_current_debug_mode
  • switch_debug_mode
  • set_debug_mode
• Class Hierarchy Diagrams