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Tutorial and Examples
API Reference
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Index
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A
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B
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C
|
D
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E
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F
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G
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H
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N
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O
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P
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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)
AttentionBaseNet (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)
BDTCN (class in braindecode.models)
BIOT (class in braindecode.models)
BNCI2014001 (class in braindecode.datasets)
braindecode
module
C
calc_padding() (braindecode.models.EEGNeX static method)
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)
construct_filters() (braindecode.models.modules.GeneralizedGaussianFilter method)
ContraWR (class in braindecode.models)
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)
CTNet (class in braindecode.models)
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)
EEGInceptionERP (class in braindecode.models)
EEGInceptionMI (class in braindecode.models)
EEGITNet (class in braindecode.models)
EEGMiner (class in braindecode.models)
EEGModuleMixin (class in braindecode.models)
EEGNetv1 (class in braindecode.models)
EEGNetv4 (class in braindecode.models)
EEGNeX (class in braindecode.models)
EEGRegressor (class in braindecode.regressor)
EEGResNet (class in braindecode.models)
EEGSimpleConv (class in braindecode.models)
EEGTCNet (class in braindecode.models)
exponential_moving_demean() (in module braindecode.preprocessing)
exponential_moving_standardize() (in module braindecode.preprocessing)
exponential_power() (braindecode.models.modules.GeneralizedGaussianFilter static method)
F
file_ids (braindecode.samplers.SequenceSampler attribute)
Filter (class in braindecode.preprocessing)
filterbank() (in module braindecode.preprocessing)
FilterBankLayer (class in braindecode.models.modules)
fit() (braindecode.regressor.EEGRegressor method)
fix_init_weight_and_init_embedding() (braindecode.models.Labram method)
forward() (braindecode.augmentation.Compose method)
(braindecode.augmentation.Transform method)
(braindecode.models.ATCNet method)
(braindecode.models.AttentionBaseNet method)
(braindecode.models.BDTCN method)
(braindecode.models.BIOT method)
(braindecode.models.ContraWR method)
(braindecode.models.CTNet method)
(braindecode.models.DeepSleepNet method)
(braindecode.models.EEGConformer method)
(braindecode.models.EEGInceptionMI method)
(braindecode.models.EEGMiner method)
(braindecode.models.EEGModuleMixin method)
(braindecode.models.EEGNeX method)
(braindecode.models.EEGSimpleConv method)
(braindecode.models.EEGTCNet method)
(braindecode.models.Labram method)
(braindecode.models.modules.FilterBankLayer method)
(braindecode.models.modules.GeneralizedGaussianFilter method)
(braindecode.models.MSVTNet method)
(braindecode.models.SCCNet method)
(braindecode.models.SincShallowNet method)
(braindecode.models.SleepStagerBlanco2020 method)
(braindecode.models.SleepStagerChambon2018 method)
(braindecode.models.SleepStagerEldele2021 method)
(braindecode.models.SPARCNet method)
(braindecode.models.SyncNet method)
(braindecode.models.TIDNet method)
(braindecode.models.TSceptionV1 method)
(braindecode.models.USleep method)
(braindecode.training.CroppedLoss method)
(braindecode.training.TimeSeriesLoss method)
forward_features() (braindecode.models.Labram 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)
GeneralizedGaussianFilter (class in braindecode.models.modules)
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.MaskEncoding method)
(braindecode.augmentation.Mixup method)
(braindecode.augmentation.SegmentationReconstruction method)
(braindecode.augmentation.SensorsRotation method)
(braindecode.augmentation.SmoothTimeMask method)
(braindecode.augmentation.Transform method)
get_classifier() (braindecode.models.Labram 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_num_layers() (braindecode.models.Labram method)
get_output_shape() (braindecode.models.EEGModuleMixin method)
get_torchinfo_statistics() (braindecode.models.EEGModuleMixin method)
H
HGD (class in braindecode.datasets)
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
Labram (class in braindecode.models)
load_concat_dataset() (in module braindecode.datautil)
load_state_dict() (braindecode.models.EEGModuleMixin method)
M
mask_encoding() (in module braindecode.augmentation.functional)
MaskEncoding (class in braindecode.augmentation)
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)
modules() (braindecode.models.EEGModuleMixin method)
MSVTNet (class in braindecode.models)
N
n_recordings (braindecode.samplers.RecordingSampler attribute)
NMT (class in braindecode.datasets)
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.MaskEncoding static method)
(braindecode.augmentation.Mixup static method)
(braindecode.augmentation.SegmentationReconstruction static method)
(braindecode.augmentation.SensorsRotation static method)
(braindecode.augmentation.SignFlip static method)
(braindecode.augmentation.SmoothTimeMask static method)
(braindecode.augmentation.TimeReverse static method)
P
parameters() (braindecode.models.EEGModuleMixin method)
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)
reset_classifier() (braindecode.models.Labram method)
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)
SCCNet (class in braindecode.models)
segmentation_reconstruction() (in module braindecode.augmentation.functional)
SegmentationReconstruction (class in braindecode.augmentation)
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)
SincShallowNet (class in braindecode.models)
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)
SPARCNet (class in braindecode.models)
split() (braindecode.datasets.BaseConcatDataset method)
SyncNet (class in braindecode.models)
T
TIDNet (class in braindecode.models)
time_reverse() (in module braindecode.augmentation.functional)
TimeReverse (class in braindecode.augmentation)
TimeSeriesLoss (class in braindecode.training)
to_dense_prediction_model() (braindecode.models.EEGModuleMixin method)
torch_stft() (braindecode.models.ContraWR method)
Transform (class in braindecode.augmentation)
trial_preds_from_window_preds() (in module braindecode.training)
TSceptionV1 (class in braindecode.models)
TUH (class in braindecode.datasets)
TUHAbnormal (class in braindecode.datasets)
U
USleep (class in braindecode.models)
W
WindowsDataset (class in braindecode.datasets)
