Package qute
This is the documentation of the qute library (version 0.3.0).
qute leverages and extends several PyTorch-based framework and tools.
For getting-started instructions, see qute on GitHub.
Sub-modules
qute.campaigns-
Full training campaign definitions.
qute.config-
Manage qute configurations.
qute.data-
Datasets and dataloaders.
qute.device-
Simplify multi-platform device support.
qute.director-
Training directors.
qute.hash-
Functions for model hashing.
qute.losses-
Custom loss functions.
qute.metrics-
Custom metrics.
qute.mode-
Trainer mode.
qute.models-
Models and architectures.
qute.postprocess-
Postprocessing functions.
qute.preprocess-
Preprocessing functions.
qute.project-
Manage training projects.
qute.random-
Seed the random number generator.
qute.tools-
Various tools.
qute.transforms-
Custom transforms.