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.