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.
Recent Activity
models 13
braindecode/labram-pretrained
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braindecode/cbramod-pretrained
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braindecode/eegpt-pretrained
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braindecode/SignalJEPA-PreLocal-pretrained
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braindecode/SignalJEPA-PostLocal-pretrained
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braindecode/SignalJEPA-Contextual-pretrained
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braindecode/SignalJEPA-pretrained
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braindecode/biot-pretrained-six-datasets-18chs
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braindecode/biot-pretrained-shhs-prest-18chs
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braindecode/biot-pretrained-prest-16chs
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• 2.79k
datasets 15
braindecode/chbmit
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braindecode/bcic2a
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braindecode/physionet
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braindecode/bcic2020-3
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braindecode/mdd_mumtaz2016
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braindecode/arithmetic_zyma2019
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braindecode/faced
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braindecode/isruc-sleep
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braindecode/example_dataset-raw
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braindecode/example_dataset-eegwindows
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