Deep learning for NeuroImaging in Python.
API documentation of nidlΒΆ
This is the classes and functions reference in nidl. Please refer to the gallery for further details, as the class and function raw specifications may not be enough to give full guidelines on their uses.
nidl
Deep learning for NeuroImaging in Python.
nidl.callbacks
Common callbacks.
nidl.datasets
Common datasets.
nidl.estimators
Common estimators.
nidl.estimators.linear
Linear estimators.
nidl.estimators.ssl
Self-supervised estimators.
nidl.utils
Various utilities to help with development.
nidl.volume
Definition of common architectures.
nidl.volume.backbones
Definition of common volumic architectures.
Linked plugins
surfify
Helper module for surface integration in PyTorch.
surfify.augmentation
Surface augmentations.
surfify.datasets
Utilities to load datasets, including methods to load and fetch popular reference datasets. It also features some artificial data generators.
surfify.losses
Common losses.
surfify.models
Common architectures.
surfify.nn
Suface dedicated modules.
surfify.plotting
Utilities to display datasets.
surfify.utils
Suface utilities.
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