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 112
braindecode/SleepFMStager
6.59M • Updated • 92
braindecode/popt-pretrained
Feature Extraction • 20M • Updated • 17 • 1
braindecode/DIVER-1-1s-small
Feature Extraction • 50.6M • Updated • 43
braindecode/DIVER-1-0.1s-tiny
Feature Extraction • 12.7M • Updated • 75
braindecode/BaRISTA-lobes
Feature Extraction • 833k • Updated • 52
braindecode/BaRISTA-parcels
Feature Extraction • 839k • Updated • 59
braindecode/BaRISTA-coords
Feature Extraction • 870k • Updated • 56
braindecode/brainbert-pretrained
43.2M • Updated • 1.62k
braindecode/mirepnet-pretrained
5.14M • Updated • 31
braindecode/NeuroPose-emg2pose
Other • 6.36M • Updated • 37
datasets 13
braindecode/faced
Updated • 215
braindecode/tutorials
Updated • 9
braindecode/example_dataset-raw
Viewer • Updated • 1 • 43
braindecode/example_dataset-eegwindows
Preview • Updated • 37
braindecode/example_dataset-windows
Preview • Updated • 83
braindecode/chbmit
Updated • 106
braindecode/isruc-sleep
Updated • 174
braindecode/physionet
Updated • 119
braindecode/mdd_mumtaz2016
Updated • 81
braindecode/arithmetic_zyma2019
Updated • 60