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 106
braindecode/EMG2Pose-emg2pose-tracking
Other • 2.95M • Updated • 14
braindecode/EMG2Pose-emg2pose
Other • 2.95M • Updated • 14
braindecode/VEMG2Pose-emg2pose-tracking
Other • 5.97M • Updated • 31
braindecode/VEMG2Pose-emg2pose
Other • 5.98M • Updated • 28
braindecode/NeuroPose-emg2pose
Other • 6.36M • Updated • 32
braindecode/SleepFMStager
2.42M • Updated • 17
braindecode/SleepFM
4.85M • Updated • 20
braindecode/ZUNA
Feature Extraction • 0.4B • Updated • 24
braindecode/plot_dance_event_detection
Updated
braindecode/popt-pretrained
Feature Extraction • 20M • Updated • 10 • 1
datasets 13
braindecode/faced
Updated • 187
braindecode/tutorials
Updated • 23
braindecode/example_dataset-raw
Viewer • Updated • 1 • 38
braindecode/example_dataset-eegwindows
Preview • Updated • 37
braindecode/example_dataset-windows
Preview • Updated • 74
braindecode/chbmit
Updated • 600
braindecode/isruc-sleep
Updated • 37
braindecode/physionet
Updated • 271
braindecode/mdd_mumtaz2016
Updated • 171
braindecode/arithmetic_zyma2019
Updated • 113