All modules for which code is available
- nnsa.annotations.annotation
- nnsa.annotations.annotation_set
- nnsa.annotations.sleep_stages
- nnsa.artefacts.artefact_detection
- nnsa.artefacts.clean_detector_cnn
- nnsa.containers.datasets
- nnsa.containers.time_series
- nnsa.cwt.mothers
- nnsa.cwt.plotting
- nnsa.cwt.transforms
- nnsa.cwt.utils
- nnsa.decompositions.fourier
- nnsa.decompositions.side_obsp
- nnsa.edfreadpy.anonymization.anonymization
- nnsa.edfreadpy.io.config
- nnsa.edfreadpy.io.reader
- nnsa.edfreadpy.io.utils
- nnsa.feature_extraction.aeeg
- nnsa.feature_extraction.brain_age
- nnsa.feature_extraction.brain_age_cnn
- nnsa.feature_extraction.brainagemodel.core.config
- nnsa.feature_extraction.brainagemodel.core.ensemblemodels
- nnsa.feature_extraction.brainagemodel.models.sincnetwork
- nnsa.feature_extraction.brainagemodel.pretrained.prenorm
- nnsa.feature_extraction.brainagemodel.pretrained.pretrainedsincmodel
- nnsa.feature_extraction.common
- nnsa.feature_extraction.connectivity
- nnsa.feature_extraction.correlation
- nnsa.feature_extraction.discontinuity
- nnsa.feature_extraction.dynamic_coupling
- nnsa.feature_extraction.entropy
- nnsa.feature_extraction.envelope
- nnsa.feature_extraction.feature_sets.base
- nnsa.feature_extraction.feature_sets.eeg
- nnsa.feature_extraction.fractality
- nnsa.feature_extraction.frequency_analysis
- nnsa.feature_extraction.kernels
- nnsa.feature_extraction.result
- nnsa.feature_extraction.sleep_stages
- nnsa.feature_extraction.statistics
- nnsa.feature_extraction.time_domain
- nnsa.feature_extraction.wavelets
- nnsa.io.hdf5
- nnsa.io.readers
- nnsa.io.routines
- nnsa.keras.callbacks
- nnsa.keras.layers
- nnsa.keras.losses
- nnsa.keras.utils
- nnsa.models.conformal_prediction
- nnsa.models.evaluation
- nnsa.models.losses
- nnsa.models.regressors
- nnsa.parameters.parameters
- nnsa.preprocessing.combine_channels
- nnsa.preprocessing.data_cleaning
- nnsa.preprocessing.detrending
- nnsa.preprocessing.eeg
- nnsa.preprocessing.expansions
- nnsa.preprocessing.filter
- nnsa.preprocessing.resample
- nnsa.preprocessing.saved_filters
- nnsa.stats.intervals
- nnsa.stats.paired
- nnsa.stats.partially_paired
- nnsa.stats.statistics
- nnsa.stats.surrogates
- nnsa.stats.utils
- nnsa.training.cross_validation
- nnsa.training.feature_importance
- nnsa.training.feature_selection
- nnsa.training.utils
- nnsa.utils.arrays
- nnsa.utils.code_performance
- nnsa.utils.conversions
- nnsa.utils.dataframes
- nnsa.utils.dictionaries
- nnsa.utils.dummy_data
- nnsa.utils.event_detections
- nnsa.utils.keras
- nnsa.utils.mathematics
- nnsa.utils.normalization
- nnsa.utils.objects
- nnsa.utils.other
- nnsa.utils.paths
- nnsa.utils.pkl
- nnsa.utils.plotting
- nnsa.utils.scalebars
- nnsa.utils.segmentation
- nnsa.utils.testing
- nnsa.visualization.eeg