Backends

The following section contains all backends which are implemented, developed and maintained for usage with delira.

A single backend usually contains at least a trainer, an experiment and some models (which are capsuled in the `models<../../models/models>`_ section.

• 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