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 123
braindecode/neurorvq-tokenizer-emg-pretrained
0.1B • Updated
braindecode/neurorvq-tokenizer-eeg-pretrained
76M • Updated
braindecode/neurorvq-tokenizer-ecg-pretrained
68.1M • Updated
braindecode/neurorvq-tokenizer-ppg-pretrained
69M • Updated
braindecode/neurorvq-emg-pretrained
5.85M • Updated
braindecode/neurorvq-eeg-pretrained
5.87M • Updated
braindecode/neurorvq-ecg-pretrained
264k • Updated
braindecode/mapa-pretrained
21.3M • Updated • 19
braindecode/brainomni-base-pretrained
42.7M • Updated • 32
braindecode/brainomni-tiny-pretrained
15.4M • Updated • 32
datasets 13
braindecode/faced
Updated • 293
braindecode/tutorials
Updated • 13
braindecode/example_dataset-raw
Viewer • Updated • 1 • 37
braindecode/example_dataset-eegwindows
Preview • Updated • 40
braindecode/example_dataset-windows
Preview • Updated • 84
braindecode/chbmit
Updated • 99
braindecode/isruc-sleep
Updated • 218
braindecode/physionet
Updated • 232
braindecode/mdd_mumtaz2016
Updated • 128
braindecode/arithmetic_zyma2019
Updated • 130