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Basic utils and base classes for training and evaluating models in PyTorch

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Ember

Basic utils and base classes for training and evaluating models in PyTorch. Includes:

  • BaseTrainer
  • BaseDataset
  • EarlyStopping with a PyTorch Scheduler interface plus other methods.

The base classes are designed with the argparse_args functionalities of LeGM in mind. BaseTrainer is also using ExperimentManager from LeGM directly.

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Basic utils and base classes for training and evaluating models in PyTorch

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