deeplay.applications.application Module

Classes

Application(*args, **kwargs)
Data([x, edge_index, edge_attr, y, pos, time])	A data object describing a homogeneous graph. The data object can hold node-level, link-level and graph-level attributes. In general, Data tries to mimic the behavior of a regular :python:`Python` dictionary. In addition, it provides useful functionality for analyzing graph structures, and provides basic PyTorch tensor functionalities. See here for the accompanying tutorial.
DeeplayModule(*args, **kwargs)	A base class for creating configurable, extensible modules with dynamic initialization and argument management.
LogHistory()	A keras-like history callback for lightning.
Module(*args, **kwargs)	Base class for all neural network modules.
Optimizer(*args, **kwargs)
PicklingError
RichProgressBar([refresh_rate, leave, ...])	A progress bar for displaying training progress with Rich.
TypeVar(name, *constraints[, bound, ...])	Type variable.