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 25
braindecode/signal-jepa_without-chans
Updated
braindecode/signal-jepa
Updated
braindecode/plot_data_augmentation_search
Updated
braindecode/plot_sleep_staging_chambon2018
Updated
braindecode/plot_sleep_staging_eldele2021
Updated
braindecode/plot_sleep_staging_usleep
Updated
braindecode/bcic_iv_4_ecog_cropped
Updated
braindecode/bcic_iv_4_ecog_trial
Updated
braindecode/plot_bcic_iv_2a_eegprep_cleaning
Updated
braindecode/plot_bcic_iv_2a_moabb_cropped
Updated
datasets 12
braindecode/example_dataset-raw
Viewer • Updated • 1 • 101
braindecode/example_dataset-eegwindows
Preview • Updated • 90
braindecode/example_dataset-windows
Preview • Updated • 131
braindecode/chbmit
Updated • 12.3k
braindecode/isruc-sleep
Updated • 12.3k
braindecode/faced
Updated • 5.03k
braindecode/physionet
Updated • 12.4k
braindecode/mdd_mumtaz2016
Updated • 3.75k
braindecode/arithmetic_zyma2019
Updated • 1.68k
braindecode/bcic2020-3
Updated • 1.54k