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 • 9.29k
braindecode/cbramod-pretrained
Updated • 2.51k
braindecode/eegpt-pretrained
Updated • 928
braindecode/SignalJEPA-PreLocal-pretrained
Updated • 3.25k
braindecode/SignalJEPA-PostLocal-pretrained
Updated • 3.27k • 1
braindecode/SignalJEPA-Contextual-pretrained
Updated • 3.26k
braindecode/SignalJEPA-pretrained
Updated • 2.47k
braindecode/biot-pretrained-six-datasets-18chs
Updated • 3.45k
braindecode/biot-pretrained-shhs-prest-18chs
Updated • 2.45k
braindecode/biot-pretrained-prest-16chs
Updated • 3.38k
datasets 12
braindecode/example_dataset-raw
Viewer • Updated • 1 • 86
braindecode/example_dataset-eegwindows
Preview • Updated • 64
braindecode/example_dataset-windows
Preview • Updated • 133
braindecode/chbmit
Updated • 3.6k
braindecode/isruc-sleep
Updated • 2.82k
braindecode/faced
Updated • 1.47k
braindecode/physionet
Updated • 3.9k
braindecode/mdd_mumtaz2016
Updated • 1.1k
braindecode/arithmetic_zyma2019
Updated • 517
braindecode/bcic2020-3
Updated • 1.04k