Index

_

__call__() (autoencoder.__main__.kwargs_append_action method) __getitem__() (autoencoder.datasets.DiffusionMRIDataset method) __len__() (autoencoder.datasets.DiffusionMRIDataset method)

__mod__() (autoencoder.logger.BraceString method) __str__() (autoencoder.logger.BraceString method) _shared_eval() (autoencoder.models.BaseDecoder method) (autoencoder.models.ConcreteAutoencoder method)

A

add_arguments_to_parser() (autoencoder.__main__.MyLightningCLI method) autoencoder module autoencoder.__main__ module autoencoder.datasets module autoencoder.logger module

autoencoder.models module autoencoder.spherical module autoencoder.spherical.convolution module autoencoder.spherical.transform module

B

BaseDecoder (class in autoencoder.models)

bold_red (autoencoder.logger.ColorFormatter attribute) BraceString (class in autoencoder.logger)

C

calc_mean_max() (autoencoder.models.Encoder method) cli (in module autoencoder.__main__) ColorFormatter (class in autoencoder.logger)

ConcreteAutoencoder (class in autoencoder.models) configure_optimizers() (autoencoder.models.BaseDecoder method) (autoencoder.models.ConcreteAutoencoder method)

D

Decoder (class in autoencoder.models)

DiffusionMRIDataset (class in autoencoder.datasets)

E

Encoder (class in autoencoder.models)

F

FCNDecoder (class in autoencoder.models) format() (autoencoder.logger.ColorFormatter method) FORMATS (autoencoder.logger.ColorFormatter attribute) FORMATTER (in module autoencoder.logger) forward() (autoencoder.models.ConcreteAutoencoder method) (autoencoder.models.Decoder method) (autoencoder.models.Encoder method) (autoencoder.models.FCNDecoder method) (autoencoder.models.SphericalDecoder method) (autoencoder.spherical.convolution.QuadraticNonLinearity method) (autoencoder.spherical.convolution.S2Convolution method) (autoencoder.spherical.convolution.SO3Convolution method) (autoencoder.spherical.transform.S2ToSignal method) (autoencoder.spherical.transform.SignalToS2 method) (autoencoder.spherical.transform.SO3ToSignal method)

G

get_logger() (in module autoencoder.logger) get_metadata_by_subject_id() (autoencoder.datasets.DiffusionMRIDataset method) get_subject_id_by_batch_id() (autoencoder.datasets.DiffusionMRIDataset method)

gram_schmidt_sh_inv() (autoencoder.spherical.transform.SignalToS2 method) grey (autoencoder.logger.ColorFormatter attribute) group_b_values() (in module autoencoder.spherical.transform) group_te_ti_b_values() (in module autoencoder.spherical.transform)

I

init_weights_orthogonal() (in module autoencoder.models)

K

kwargs_append_action (class in autoencoder.__main__)

L

latent_features (autoencoder.models.Encoder property) lms_laplace_beltrami_sh_inv() (autoencoder.spherical.transform.SignalToS2 method) lms_sh_inv() (autoencoder.spherical.transform.SignalToS2 method)

lms_tikhonov_sh_inv() (autoencoder.spherical.transform.SignalToS2 method) logger (in module autoencoder.logger) LOGGER_NAME (in module autoencoder.logger)

M

module autoencoder autoencoder.__main__ autoencoder.datasets autoencoder.logger autoencoder.models autoencoder.spherical autoencoder.spherical.convolution autoencoder.spherical.transform

MRIDataModule (class in autoencoder.datasets) MyLightningCLI (class in autoencoder.__main__)

N

n_sh (autoencoder.spherical.transform.S2ToSignal property) (autoencoder.spherical.transform.SignalToS2 property)

O

on_epoch_end() (autoencoder.models.ConcreteAutoencoder method)

on_train_epoch_start() (autoencoder.models.ConcreteAutoencoder method)

P

process() (autoencoder.logger.StyleAdapter method)

Q

QuadraticNonLinearity (class in autoencoder.spherical.convolution)

R

red (autoencoder.logger.ColorFormatter attribute)

regularization() (autoencoder.models.Encoder method) reset (autoencoder.logger.ColorFormatter attribute)

S

S2Convolution (class in autoencoder.spherical.convolution) S2ToSignal (class in autoencoder.spherical.transform) set_log_level() (in module autoencoder.logger) setup() (autoencoder.datasets.MRIDataModule method)

SignalToS2 (class in autoencoder.spherical.transform) SO3Convolution (class in autoencoder.spherical.convolution) SO3ToSignal (class in autoencoder.spherical.transform) SphericalDecoder (class in autoencoder.models) StyleAdapter (class in autoencoder.logger)

T

test_dataloader() (autoencoder.datasets.MRIDataModule method) test_step() (autoencoder.models.BaseDecoder method) (autoencoder.models.ConcreteAutoencoder method)

train_dataloader() (autoencoder.datasets.MRIDataModule method) training_step() (autoencoder.models.BaseDecoder method) (autoencoder.models.ConcreteAutoencoder method)

U

update_temp() (autoencoder.models.Encoder method)

V

val_dataloader() (autoencoder.datasets.MRIDataModule method)

validation_step() (autoencoder.models.BaseDecoder method) (autoencoder.models.ConcreteAutoencoder method)

Y

yellow (autoencoder.logger.ColorFormatter attribute)