API Reference

ashpy.ashtypes	Custom Type-Aliases.
ashpy.callbacks	Callbacks in order to gain control over the training loop.
ashpy.contexts	Contexts help gaining an easier control over the model selection and testing process of the models.
ashpy.keras	Custom extensions of standard Keras components.
ashpy.layers	Collection of layers.
ashpy.losses	Collection of Losses.
ashpy.metrics	Collection of Metrics.
ashpy.models	Collection of Models.
ashpy.modes	Various modalities used to configure certain ash behaviours.
ashpy.restorers	Restorers allow for easy restoration of tracked objects from tf.train.Checkpoint.
ashpy.trainers	Trainers help reducing boilerplate code by bootstrapping models training.