Collection of dataset use to create the fine-tuning arena
AI & ML interests
Braindecode is an open-source Python toolbox for decoding raw electrophysiological brain data with deep learning models. It includes dataset fetchers, data preprocessing and visualization tools, as well as implementations of several deep learning architectures and data augmentations for analysis of EEG, ECoG and MEG.
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models 130
braindecode/ZUNA
Feature Extraction • 0.2B • Updated • 89
braindecode/corteg-stanford-pooled
25.5M • Updated • 26
braindecode/corteg-small-pretrained
Feature Extraction • 25.3M • Updated
braindecode/eegdino-medium-pretrained
Feature Extraction • 34.4M • Updated • 1.14k • 1
braindecode/eegdino-small-pretrained
Feature Extraction • 4.54M • Updated • 862
braindecode/eegpt-pretrained
25.3M • Updated • 18.2k • 2
braindecode/BaRISTA-parcels
Feature Extraction • 839k • Updated • 121
braindecode/BaRISTA-lobes
Feature Extraction • 833k • Updated • 20
braindecode/BaRISTA-coords
Feature Extraction • 870k • Updated • 1.42k
braindecode/signal-jepa_without-chans
Feature Extraction • 3.45M • Updated • 1.21k • 1
datasets 13
braindecode/faced
Updated • 848
braindecode/tutorials
Updated • 25
braindecode/example_dataset-raw
Viewer • Updated • 1 • 49
braindecode/example_dataset-eegwindows
Preview • Updated • 57
braindecode/example_dataset-windows
Preview • Updated • 153
braindecode/chbmit
Updated • 568
braindecode/isruc-sleep
Updated • 553
braindecode/physionet
Updated • 744
braindecode/mdd_mumtaz2016
Updated • 413
braindecode/arithmetic_zyma2019
Updated • 146