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Install
Documentation
API Reference
Development
- PyTorch
- MNE
- MOABB
- TorchMetrics
- Captum

GitHub

Install
Documentation
API Reference
Development
PyTorch
MNE
MOABB
TorchMetrics
Captum

GitHub

Section Navigation

EEG Data and Datasets
- EEGData
- MultiSessEEGData
- SplitEEGData
- EEGDataset
- LoadDataset
- BCICIV2A
- BCICIV2B
- OpenBMI_MI
- HighGamma
- PhysioNet_MI
- MODMA_128_Resting
- save
- load
- save_dataset
Transforms
- Sequential
- SplitTrainTest
- ToEEGData
- split_subjects
- Identity
- Crop
- SlideWin
- Unsqueeze
- Squeeze
- Transpose
- FilterBank
- ApplyFunc
- LabelMapping
- PickLabel
- ZscoreNorm
- MinMaxNorm
- SegRecTime
- SlideWinAug
- GaussTime
Trainer
- Classifier
- ClassifierTwoStage
Experiments
- HoldOut
- KFold
- LOSO_HoldOut
- LOSO_KFold
Models
- EEGNet
- DeepConvNet
- ShallowConvNet
- FBCNet
- IFNet
- LightConvNet
- EEGConformer
- MSVTNet
- Conv2dWithNorm
- LinearWithNorm
Logging and Configuration
Tools
- Timer
- Filer
- Logger

API Reference
Logging and Configuration
unpacked

unpacked#

dpeeg.utils.unpacked(*args) → list[source]#: Positional arguments are unpacked as lists.

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