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 13
braindecode/labram-pretrained
Updated • 8.95k
braindecode/cbramod-pretrained
Updated • 2.53k
braindecode/eegpt-pretrained
Updated • 1.08k
braindecode/SignalJEPA-PreLocal-pretrained
Updated • 3k
braindecode/SignalJEPA-PostLocal-pretrained
Updated • 3.02k • 1
braindecode/SignalJEPA-Contextual-pretrained
Updated • 3.02k
braindecode/SignalJEPA-pretrained
Updated • 2.29k
braindecode/biot-pretrained-six-datasets-18chs
Updated • 3.27k
braindecode/biot-pretrained-shhs-prest-18chs
Updated • 2.27k
braindecode/biot-pretrained-prest-16chs
Updated • 3.09k
datasets 12
braindecode/example_dataset-raw
Viewer • Updated • 1 • 94
braindecode/example_dataset-eegwindows
Preview • Updated • 70
braindecode/example_dataset-windows
Preview • Updated • 135
braindecode/chbmit
Updated • 4.07k
braindecode/isruc-sleep
Updated • 3.34k
braindecode/faced
Updated • 1.67k
braindecode/physionet
Updated • 4.36k
braindecode/mdd_mumtaz2016
Updated • 1.26k
braindecode/arithmetic_zyma2019
Updated • 582
braindecode/bcic2020-3
Updated • 1.11k