Examples

Split Dataset Example

Split Dataset Example

Load and save dataset example

Load and save dataset example

MNE Dataset Example

MNE Dataset Example

Custom Dataset Example

Custom Dataset Example

Multiple discrete targets with the TUH EEG Corpus

Multiple discrete targets with the TUH EEG Corpus

Benchmarking preprocessing with parallelization and serialization

Benchmarking preprocessing with parallelization and serialization

MOABB Dataset Example

MOABB Dataset Example

Regression example on fake data

Regression example on fake data

Hyperparameter tuning with scikit-learn

Hyperparameter tuning with scikit-learn

Process a big data EEG resource (TUH EEG Corpus)

Process a big data EEG resource (TUH EEG Corpus)

Sleep staging on the Sleep Physionet dataset using U-Sleep network

Sleep staging on the Sleep Physionet dataset using U-Sleep network

Data Augmentation on BCIC IV 2a Dataset

Data Augmentation on BCIC IV 2a Dataset

Sleep staging on the Sleep Physionet dataset using Eldele2021

Sleep staging on the Sleep Physionet dataset using Eldele2021

Sleep staging on the Sleep Physionet dataset using Chambon2018 network

Sleep staging on the Sleep Physionet dataset using Chambon2018 network

Searching the best data augmentation on BCIC IV 2a Dataset

Searching the best data augmentation on BCIC IV 2a Dataset

Trialwise Decoding on BCIC IV 2a Dataset

Trialwise Decoding on BCIC IV 2a Dataset

Fingers flexion decoding on BCIC IV 4 ECoG Dataset

Fingers flexion decoding on BCIC IV 4 ECoG Dataset

Benchmarking eager and lazy loading

Benchmarking eager and lazy loading

Fingers flexion cropped decoding on BCIC IV 4 ECoG Dataset

Fingers flexion cropped decoding on BCIC IV 4 ECoG Dataset

Cropped Decoding on BCIC IV 2a Dataset

Cropped Decoding on BCIC IV 2a Dataset

Self-supervised learning on EEG with relative positioning

Self-supervised learning on EEG with relative positioning

How to train, test and tune your model

How to train, test and tune your model