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 • 32
braindecode/megxl-pretrained
24.2M • Updated • 33
braindecode/corteg-stanford-pooled
25.5M • Updated • 66
braindecode/epint-pretrained
19.2M • Updated • 227
braindecode/duin-pretrained
Feature Extraction • 4.18M • Updated • 532
braindecode/neurorvq-tokenizer-ppg-pretrained
69M • Updated • 17
braindecode/brainomni-base-pretrained
42.7M • Updated • 2.03k
braindecode/brainomni-tiny-pretrained
15.4M • Updated • 49
braindecode/braintokenizer-pretrained
6.1M • Updated • 37
braindecode/DIVER-1-1s-small
Feature Extraction • 50.6M • Updated • 1.78k
datasets 13
braindecode/faced
Updated • 912
braindecode/tutorials
Updated • 26
braindecode/example_dataset-raw
Viewer • Updated • 1 • 48
braindecode/example_dataset-eegwindows
Preview • Updated • 58
braindecode/example_dataset-windows
Preview • Updated • 153
braindecode/chbmit
Updated • 1.16k
braindecode/isruc-sleep
Updated • 532
braindecode/physionet
Updated • 930
braindecode/mdd_mumtaz2016
Updated • 499
braindecode/arithmetic_zyma2019
Updated • 148