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 107
braindecode/brainbert-pretrained
43.2M • Updated • 114
braindecode/mirepnet-pretrained
5.14M • Updated • 34
braindecode/NeuroPose-emg2pose
Other • 6.36M • Updated • 75
braindecode/EMG2Pose-emg2pose-tracking
Other • 2.95M • Updated • 25
braindecode/EMG2Pose-emg2pose
Other • 2.95M • Updated • 25
braindecode/VEMG2Pose-emg2pose-tracking
Other • 5.97M • Updated • 46
braindecode/VEMG2Pose-emg2pose
Other • 5.98M • Updated • 115
braindecode/SleepFMStager
2.42M • Updated • 15
braindecode/SleepFM
4.85M • Updated • 211
braindecode/ZUNA
Feature Extraction • 0.4B • Updated • 67
datasets 13
braindecode/faced
Updated • 351
braindecode/tutorials
Updated • 13
braindecode/example_dataset-raw
Viewer • Updated • 1 • 57
braindecode/example_dataset-eegwindows
Preview • Updated • 41
braindecode/example_dataset-windows
Preview • Updated • 83
braindecode/chbmit
Updated • 678
braindecode/isruc-sleep
Updated • 72
braindecode/physionet
Updated • 405
braindecode/mdd_mumtaz2016
Updated • 138
braindecode/arithmetic_zyma2019
Updated • 116