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 14
braindecode/codebrain-pretrained
Updated • 27
braindecode/labram-pretrained
Updated • 12.7k
braindecode/cbramod-pretrained
Updated • 2.59k
braindecode/eegpt-pretrained
Updated • 1.18k
braindecode/SignalJEPA-PreLocal-pretrained
Updated • 6.63k
braindecode/SignalJEPA-PostLocal-pretrained
Updated • 6.57k • 1
braindecode/SignalJEPA-Contextual-pretrained
Updated • 6.57k
braindecode/SignalJEPA-pretrained
Updated • 5.09k
braindecode/biot-pretrained-six-datasets-18chs
Updated • 5.93k
braindecode/biot-pretrained-shhs-prest-18chs
Updated • 5.07k
datasets 12
braindecode/example_dataset-raw
Viewer • Updated • 1 • 121
braindecode/example_dataset-eegwindows
Preview • Updated • 99
braindecode/example_dataset-windows
Preview • Updated • 149
braindecode/chbmit
Updated • 5.91k
braindecode/isruc-sleep
Updated • 5.27k
braindecode/faced
Updated • 2.41k
braindecode/physionet
Updated • 6.13k
braindecode/mdd_mumtaz2016
Updated • 1.8k
braindecode/arithmetic_zyma2019
Updated • 826
braindecode/bcic2020-3
Updated • 1.33k