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 • 24.8k • 1
braindecode/signal-jepa
Feature Extraction • Updated • 3.83k
braindecode/signal-jepa_without-chans
Feature Extraction • Updated • 4.67k
braindecode/SignalJEPA-pretrained
Updated • 6.37k
braindecode/SignalJEPA-Contextual-pretrained
Updated • 6.78k
braindecode/SignalJEPA-PreLocal-pretrained
Updated • 7.09k
braindecode/SignalJEPA-PostLocal-pretrained
Updated • 6.78k • 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 • 74
braindecode/example_dataset-eegwindows
Preview • Updated • 64
braindecode/example_dataset-windows
Preview • Updated • 102
braindecode/chbmit
Updated • 9.76k
braindecode/isruc-sleep
Updated • 10.7k
braindecode/faced
Updated • 4.04k
braindecode/physionet
Updated • 9.53k
braindecode/mdd_mumtaz2016
Updated • 2.98k
braindecode/arithmetic_zyma2019
Updated • 1.36k
braindecode/bcic2020-3
Updated • 1.3k