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 130
braindecode/corteg-small-pretrained
Feature Extraction • 25.3M • Updated • 63
braindecode/megxl-pretrained
24.2M • Updated • 62
braindecode/corteg-stanford-pooled
25.5M • Updated • 105
braindecode/epint-pretrained
19.2M • Updated • 4.61k
braindecode/duin-pretrained
Feature Extraction • 4.18M • Updated • 49.9k
braindecode/neurorvq-tokenizer-ppg-pretrained
69M • Updated • 44
braindecode/brainomni-base-pretrained
42.7M • Updated • 2.31k
braindecode/brainomni-tiny-pretrained
15.4M • Updated • 76
braindecode/braintokenizer-pretrained
6.1M • Updated • 58
braindecode/DIVER-1-1s-small
Feature Extraction • 50.6M • Updated • 6.5k
datasets 13
braindecode/faced
Updated • 618
braindecode/tutorials
Updated • 28
braindecode/example_dataset-raw
Viewer • Updated • 1 • 55
braindecode/example_dataset-eegwindows
Preview • Updated • 56
braindecode/example_dataset-windows
Preview • Updated • 163
braindecode/chbmit
Updated • 1.18k
braindecode/isruc-sleep
Updated • 458
braindecode/physionet
Updated • 1.02k
braindecode/mdd_mumtaz2016
Updated • 332
braindecode/arithmetic_zyma2019
Updated • 147