API DocumentationΒΆ
- Delira
- Data Loading
- IO
- Logging
- Models
- Training
- Parameters
- Network Trainer
- Predictor
- Experiment
- Callbacks
- AbstractCallback
- EarlyStopping
- DefaultPyTorchSchedulerCallback
- CosineAnnealingLRCallback
- ExponentialLRCallback
- LambdaLRCallback
- MultiStepLRCallback
- ReduceLROnPlateauCallback
- StepLRCallback
- CosineAnnealingLRCallbackPyTorch
- ExponentialLRCallbackPyTorch
- LambdaLRCallbackPyTorch
- MultiStepLRCallbackPyTorch
- ReduceLROnPlateauCallbackPyTorch
- StepLRCallbackPyTorch
- Losses
- Metrics
- convert_batch_to_numpy_identity
- float_to_pytorch_tensor
- create_optims_default_pytorch
- create_optims_gan_pytorch
- convert_torch_tensor_to_npy
- create_optims_default_tf
- initialize_uninitialized
- convert_tf_tensor_to_npy
- Utilities
- Backend Resolution
- Class Hierarchy Diagrams