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
• 8.74k
braindecode/cbramod-pretrained
Updated
• 1.63k
braindecode/eegpt-pretrained
Updated
• 421
braindecode/SignalJEPA-PreLocal-pretrained
Updated
• 3.24k
braindecode/SignalJEPA-PostLocal-pretrained
Updated
• 3.24k • 1
braindecode/SignalJEPA-Contextual-pretrained
Updated
• 3.25k
braindecode/SignalJEPA-pretrained
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• 2.43k
braindecode/biot-pretrained-six-datasets-18chs
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• 2.95k
braindecode/biot-pretrained-shhs-prest-18chs
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• 2.45k
braindecode/biot-pretrained-prest-16chs
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• 3.52k
datasets 12
braindecode/example_dataset-raw
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• 76
braindecode/example_dataset-eegwindows
Preview
• Updated
• 53
braindecode/example_dataset-windows
Preview
• Updated
• 106
braindecode/chbmit
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• 10
braindecode/isruc-sleep
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• 32
braindecode/faced
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• 10
braindecode/physionet
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• 8
braindecode/mdd_mumtaz2016
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• 7
braindecode/arithmetic_zyma2019
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• 8
braindecode/bcic2020-3
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• 653