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1.15

API

  • Model
  • Experiment and ModelBundle
  • Metrics
  • Callbacks
  • Layers
  • Utils

Examples

  • Introduction to PyTorch and Poutyne
  • Tips and Tricks
  • Sequence Tagging With an RNN
  • Interface of policy
  • Transfer learning example
  • Image Reconstruction Using Poutyne
  • Gender Classification and Eyes Location Detection: A Two Task Problem
  • Semantic segmentation using Poutyne
Poutyne
  • Overview: module code

All modules for which code is available

  • poutyne.framework.callbacks.best_model_restore
  • poutyne.framework.callbacks.callbacks
  • poutyne.framework.callbacks.checkpoint
  • poutyne.framework.callbacks.clip_grad
  • poutyne.framework.callbacks.delay
  • poutyne.framework.callbacks.earlystopping
  • poutyne.framework.callbacks.gradient_tracker
  • poutyne.framework.callbacks.lambda_
  • poutyne.framework.callbacks.logger
  • poutyne.framework.callbacks.lr_scheduler
  • poutyne.framework.callbacks.mlflow_logger
  • poutyne.framework.callbacks.notification
  • poutyne.framework.callbacks.periodic
  • poutyne.framework.callbacks.policies
  • poutyne.framework.callbacks.progress
  • poutyne.framework.callbacks.terminate_on_nan
  • poutyne.framework.callbacks.wandb_logger
  • poutyne.framework.metrics.base
  • poutyne.framework.metrics.predefined.accuracy
  • poutyne.framework.metrics.predefined.fscores
  • poutyne.framework.metrics.predefined.sklearn_metrics
  • poutyne.framework.model
  • poutyne.framework.model_bundle
  • poutyne.layers.utils
  • poutyne.plotting
  • poutyne.utils

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