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 • 62
braindecode/megxl-pretrained
24.2M • Updated • 59
braindecode/corteg-stanford-pooled
25.5M • Updated • 102
braindecode/epint-pretrained
19.2M • Updated • 3.76k
braindecode/duin-pretrained
Feature Extraction • 4.18M • Updated • 41.4k
braindecode/neurorvq-tokenizer-ppg-pretrained
69M • Updated • 39
braindecode/brainomni-base-pretrained
42.7M • Updated • 2.21k
braindecode/brainomni-tiny-pretrained
15.4M • Updated • 70
braindecode/braintokenizer-pretrained
6.1M • Updated • 57
braindecode/DIVER-1-1s-small
Feature Extraction • 50.6M • Updated • 5.27k
datasets 13
braindecode/faced
Updated • 573
braindecode/tutorials
Updated • 28
braindecode/example_dataset-raw
Viewer • Updated • 1 • 56
braindecode/example_dataset-eegwindows
Preview • Updated • 55
braindecode/example_dataset-windows
Preview • Updated • 165
braindecode/chbmit
Updated • 1.18k
braindecode/isruc-sleep
Updated • 563
braindecode/physionet
Updated • 1.02k
braindecode/mdd_mumtaz2016
Updated • 357
braindecode/arithmetic_zyma2019
Updated • 146