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 • 185
braindecode/popt-pretrained
Feature Extraction • 20M • Updated • 55 • 1
braindecode/DIVER-1-1s-small
Feature Extraction • 50.6M • Updated • 340
braindecode/DIVER-1-0.1s-tiny
Feature Extraction • 12.7M • Updated • 435
braindecode/BaRISTA-lobes
Feature Extraction • 833k • Updated • 53
braindecode/BaRISTA-parcels
Feature Extraction • 839k • Updated • 64
braindecode/BaRISTA-coords
Feature Extraction • 870k • Updated • 57
braindecode/brainbert-pretrained
43.2M • Updated • 1.93k
braindecode/mirepnet-pretrained
5.14M • Updated • 30
braindecode/NeuroPose-emg2pose
Other • 6.36M • Updated • 36
datasets 13
braindecode/faced
Updated • 186
braindecode/tutorials
Updated • 8
braindecode/example_dataset-raw
Viewer • Updated • 1 • 34
braindecode/example_dataset-eegwindows
Preview • Updated • 33
braindecode/example_dataset-windows
Preview • Updated • 79
braindecode/chbmit
Updated • 46
braindecode/isruc-sleep
Updated • 198
braindecode/physionet
Updated • 60
braindecode/mdd_mumtaz2016
Updated • 50
braindecode/arithmetic_zyma2019
Updated • 41