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/braindecode-bendr
Updated • 17.6k • 1
braindecode/signal-jepa
Feature Extraction • Updated • 1.77k
braindecode/signal-jepa_without-chans
Feature Extraction • Updated • 1.46k
braindecode/SignalJEPA-pretrained
Updated • 5.78k
braindecode/SignalJEPA-Contextual-pretrained
Updated • 6.93k
braindecode/SignalJEPA-PreLocal-pretrained
Updated • 7.22k
braindecode/SignalJEPA-PostLocal-pretrained
Updated • 6.92k • 1
braindecode/SignalJEPA
Updated
braindecode/plot_data_augmentation_search
Updated
braindecode/plot_sleep_staging_chambon2018
Updated
datasets 12
braindecode/example_dataset-raw
Viewer • Updated • 1 • 88
braindecode/example_dataset-eegwindows
Preview • Updated • 73
braindecode/example_dataset-windows
Preview • Updated • 120
braindecode/chbmit
Updated • 10.9k
braindecode/isruc-sleep
Updated • 12k
braindecode/faced
Updated • 5.26k
braindecode/physionet
Updated • 11.1k
braindecode/mdd_mumtaz2016
Updated • 3.91k
braindecode/arithmetic_zyma2019
Updated • 1.77k
braindecode/bcic2020-3
Updated • 1.44k