🎱 API Reference

algorithms	Efficiency methods for training.
callbacks	Callbacks that run at each training loop Event.
core	Central components used by other modules.
datasets	Natively supported datasets.
functional	Functional API for applying algorithms in your own training loop.
loggers	Loggers to store metrics and artifacts.
models	The models module contains the ComposerModel base class along with reference implementations of many common models.
optim	Optimizers and learning rate schedulers.
profiler	Performance profiling tools.
trainer	Train models with flexible insertion of algorithms.
utils	Helper utilities.