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 • 8.83k
braindecode/cbramod-pretrained
Updated • 2.53k
braindecode/eegpt-pretrained
Updated • 1.08k
braindecode/SignalJEPA-PreLocal-pretrained
Updated • 3.03k
braindecode/SignalJEPA-PostLocal-pretrained
Updated • 3.05k • 1
braindecode/SignalJEPA-Contextual-pretrained
Updated • 3.06k
braindecode/SignalJEPA-pretrained
Updated • 2.31k
braindecode/biot-pretrained-six-datasets-18chs
Updated • 3.27k
braindecode/biot-pretrained-shhs-prest-18chs
Updated • 2.3k
braindecode/biot-pretrained-prest-16chs
Updated • 3.09k
datasets 12
braindecode/example_dataset-raw
Viewer • Updated • 1 • 102
braindecode/example_dataset-eegwindows
Preview • Updated • 78
braindecode/example_dataset-windows
Preview • Updated • 141
braindecode/chbmit
Updated • 4.69k
braindecode/isruc-sleep
Updated • 3.97k
braindecode/faced
Updated • 1.92k
braindecode/physionet
Updated • 4.91k
braindecode/mdd_mumtaz2016
Updated • 1.46k
braindecode/arithmetic_zyma2019
Updated • 651
braindecode/bcic2020-3
Updated • 1.18k