Skip to main content
Back to top
Ctrl
+
K
Site Navigation
Install
Cite
Tutorial and Examples
API Reference
Get help
What’s new
Site Navigation
Install
Cite
Tutorial and Examples
API Reference
Get help
What’s new
Index
_
|
A
|
B
|
C
|
D
|
E
|
F
|
G
|
H
|
I
|
L
|
M
|
N
|
O
|
P
|
R
|
S
|
T
|
U
|
W
_
_criteria (braindecode.classifier.EEGClassifier attribute)
(braindecode.regressor.EEGRegressor attribute)
_modules (braindecode.classifier.EEGClassifier attribute)
(braindecode.regressor.EEGRegressor attribute)
_optimizers (braindecode.classifier.EEGClassifier attribute)
(braindecode.regressor.EEGRegressor attribute)
A
apply() (braindecode.preprocessing.Preprocessor method)
ATCNet (class in braindecode.models)
AugmentedDataLoader (class in braindecode.augmentation)
B
BalancedSequenceSampler (class in braindecode.samplers)
bandstop_filter() (in module braindecode.augmentation.functional)
BandstopFilter (class in braindecode.augmentation)
BaseConcatDataset (class in braindecode.datasets)
BaseDataset (class in braindecode.datasets)
BCICompetitionIVDataset4 (class in braindecode.datasets)
BNCI2014001 (class in braindecode.datasets)
braindecode
module
C
callbacks_ (braindecode.classifier.EEGClassifier attribute)
(braindecode.regressor.EEGRegressor attribute)
channels_dropout() (in module braindecode.augmentation.functional)
channels_permute() (in module braindecode.augmentation.functional)
channels_shuffle() (in module braindecode.augmentation.functional)
ChannelsDropout (class in braindecode.augmentation)
ChannelsShuffle (class in braindecode.augmentation)
ChannelsSymmetry (class in braindecode.augmentation)
classes_ (braindecode.classifier.EEGClassifier attribute)
Compose (class in braindecode.augmentation)
compute_amplitude_gradients() (in module braindecode.visualization)
create_fixed_length_windows() (in module braindecode.preprocessing)
create_from_mne_epochs() (in module braindecode.datasets)
create_from_mne_raw() (in module braindecode.datasets)
create_from_X_y() (in module braindecode.datasets)
create_windows_from_events() (in module braindecode.preprocessing)
create_windows_from_target_channels() (in module braindecode.preprocessing)
criterion_ (braindecode.classifier.EEGClassifier attribute)
(braindecode.regressor.EEGRegressor attribute)
Crop (class in braindecode.preprocessing)
CroppedLoss (class in braindecode.training)
CroppedTimeSeriesEpochScoring (class in braindecode.training)
CroppedTrialEpochScoring (class in braindecode.training)
cuda_dependent_attributes_ (braindecode.classifier.EEGClassifier attribute)
(braindecode.regressor.EEGRegressor attribute)
D
Deep4Net (class in braindecode.models)
DeepSleepNet (class in braindecode.models)
download() (braindecode.datasets.BCICompetitionIVDataset4 static method)
DropChannels (class in braindecode.preprocessing)
E
EEGClassifier (class in braindecode.classifier)
EEGConformer (class in braindecode.models)
EEGInception (class in braindecode.models)
EEGInceptionERP (class in braindecode.models)
EEGInceptionMI (class in braindecode.models)
EEGITNet (class in braindecode.models)
EEGModuleMixin (class in braindecode.models)
EEGNetv1 (class in braindecode.models)
EEGNetv4 (class in braindecode.models)
EEGRegressor (class in braindecode.regressor)
EEGResNet (class in braindecode.models)
exponential_moving_demean() (in module braindecode.preprocessing)
exponential_moving_standardize() (in module braindecode.preprocessing)
F
file_ids (braindecode.samplers.SequenceSampler attribute)
Filter (class in braindecode.preprocessing)
filterbank() (in module braindecode.preprocessing)
fit() (braindecode.regressor.EEGRegressor method)
forward() (braindecode.augmentation.Compose method)
(braindecode.augmentation.Transform method)
(braindecode.models.ATCNet method)
(braindecode.models.DeepSleepNet method)
(braindecode.models.EEGConformer method)
(braindecode.models.EEGInceptionMI method)
(braindecode.models.HybridNet method)
(braindecode.models.SleepStagerBlanco2020 method)
(braindecode.models.SleepStagerChambon2018 method)
(braindecode.models.SleepStagerEldele2021 method)
(braindecode.models.TCN method)
(braindecode.models.TIDNet method)
(braindecode.models.TimeDistributed method)
(braindecode.models.USleep method)
(braindecode.training.CroppedLoss method)
(braindecode.training.TimeSeriesLoss method)
frequency_shift() (in module braindecode.augmentation.functional)
FrequencyShift (class in braindecode.augmentation)
ft_surrogate() (in module braindecode.augmentation.functional)
FTSurrogate (class in braindecode.augmentation)
G
gaussian_noise() (in module braindecode.augmentation.functional)
GaussianNoise (class in braindecode.augmentation)
get_augmentation_params() (braindecode.augmentation.BandstopFilter method)
(braindecode.augmentation.ChannelsDropout method)
(braindecode.augmentation.ChannelsShuffle method)
(braindecode.augmentation.ChannelsSymmetry method)
(braindecode.augmentation.FrequencyShift method)
(braindecode.augmentation.FTSurrogate method)
(braindecode.augmentation.GaussianNoise method)
(braindecode.augmentation.Mixup method)
(braindecode.augmentation.SensorsRotation method)
(braindecode.augmentation.SmoothTimeMask method)
(braindecode.augmentation.Transform method)
get_fc_size() (braindecode.models.EEGConformer method)
get_iterator() (braindecode.classifier.EEGClassifier method)
(braindecode.regressor.EEGRegressor method)
get_loss() (braindecode.classifier.EEGClassifier method)
get_metadata() (braindecode.datasets.BaseConcatDataset method)
get_output_shape() (braindecode.models.EEGModuleMixin method)
(in module braindecode.models)
get_torchinfo_statistics() (braindecode.models.EEGModuleMixin method)
H
HGD (class in braindecode.datasets)
HybridNet (class in braindecode.models)
I
identity() (in module braindecode.augmentation.functional)
IdentityTransform (class in braindecode.augmentation)
info (braindecode.samplers.RecordingSampler attribute)
(braindecode.samplers.SequenceSampler attribute)
initialized_ (braindecode.classifier.EEGClassifier attribute)
(braindecode.regressor.EEGRegressor attribute)
L
load_concat_dataset() (in module braindecode.datautil)
load_state_dict() (braindecode.models.EEGModuleMixin method)
M
Mixup (class in braindecode.augmentation)
mixup() (in module braindecode.augmentation.functional)
mixup_criterion() (in module braindecode.training)
MOABBDataset (class in braindecode.datasets)
module
braindecode
module_ (braindecode.classifier.EEGClassifier attribute)
(braindecode.regressor.EEGRegressor attribute)
N
n_recordings (braindecode.samplers.RecordingSampler attribute)
O
on_batch_end() (braindecode.training.CroppedTrialEpochScoring method)
on_epoch_end() (braindecode.training.CroppedTimeSeriesEpochScoring method)
(braindecode.training.CroppedTrialEpochScoring method)
(braindecode.training.PostEpochTrainScoring method)
operation() (braindecode.augmentation.BandstopFilter static method)
(braindecode.augmentation.ChannelsDropout static method)
(braindecode.augmentation.ChannelsShuffle static method)
(braindecode.augmentation.ChannelsSymmetry static method)
(braindecode.augmentation.FrequencyShift static method)
(braindecode.augmentation.FTSurrogate static method)
(braindecode.augmentation.GaussianNoise static method)
(braindecode.augmentation.IdentityTransform static method)
(braindecode.augmentation.Mixup static method)
(braindecode.augmentation.SensorsRotation static method)
(braindecode.augmentation.SignFlip static method)
(braindecode.augmentation.SmoothTimeMask static method)
(braindecode.augmentation.TimeReverse static method)
P
Pick (class in braindecode.preprocessing)
plot_confusion_matrix() (in module braindecode.visualization)
PostEpochTrainScoring (class in braindecode.training)
predict() (braindecode.classifier.EEGClassifier method)
predict_proba() (braindecode.classifier.EEGClassifier method)
(braindecode.regressor.EEGRegressor method)
predict_trials() (braindecode.classifier.EEGClassifier method)
(braindecode.regressor.EEGRegressor method)
(in module braindecode.training)
prefixes_ (braindecode.classifier.EEGClassifier attribute)
(braindecode.regressor.EEGRegressor attribute)
preprocess() (in module braindecode.preprocessing)
Preprocessor (class in braindecode.preprocessing)
presample() (braindecode.samplers.RelativePositioningSampler method)
R
RecordingSampler (class in braindecode.samplers)
RelativePositioningSampler (class in braindecode.samplers)
Resample (class in braindecode.preprocessing)
S
sample_class() (braindecode.samplers.BalancedSequenceSampler method)
sample_recording() (braindecode.samplers.RecordingSampler method)
sample_window() (braindecode.samplers.RecordingSampler method)
save() (braindecode.datasets.BaseConcatDataset method)
save_concat_dataset() (in module braindecode.datautil)
sensors_rotation() (in module braindecode.augmentation.functional)
SensorsRotation (class in braindecode.augmentation)
SensorsXRotation (class in braindecode.augmentation)
SensorsYRotation (class in braindecode.augmentation)
SensorsZRotation (class in braindecode.augmentation)
SequenceSampler (class in braindecode.samplers)
set_description() (braindecode.datasets.BaseConcatDataset method)
(braindecode.datasets.BaseDataset method)
(braindecode.datasets.WindowsDataset method)
set_random_seeds() (in module braindecode.util)
SetEEGReference (class in braindecode.preprocessing)
ShallowFBCSPNet (class in braindecode.models)
sign_flip() (in module braindecode.augmentation.functional)
SignFlip (class in braindecode.augmentation)
SleepPhysionet (class in braindecode.datasets)
SleepStagerBlanco2020 (class in braindecode.models)
SleepStagerChambon2018 (class in braindecode.models)
SleepStagerEldele2021 (class in braindecode.models)
smooth_time_mask() (in module braindecode.augmentation.functional)
SmoothTimeMask (class in braindecode.augmentation)
split() (braindecode.datasets.BaseConcatDataset method)
T
TCN (class in braindecode.models)
TIDNet (class in braindecode.models)
time_reverse() (in module braindecode.augmentation.functional)
TimeDistributed (class in braindecode.models)
TimeReverse (class in braindecode.augmentation)
TimeSeriesLoss (class in braindecode.training)
to_dense_prediction_model() (braindecode.models.EEGModuleMixin method)
Transform (class in braindecode.augmentation)
trial_preds_from_window_preds() (in module braindecode.training)
TUH (class in braindecode.datasets)
TUHAbnormal (class in braindecode.datasets)
U
USleep (class in braindecode.models)
W
WindowsDataset (class in braindecode.datasets)