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 125
braindecode/epint-pretrained
19.2M • Updated • 160
braindecode/duin-pretrained
Feature Extraction • 4.18M • Updated • 301
braindecode/neurorvq-tokenizer-emg-pretrained
0.1B • Updated • 53
braindecode/neurorvq-tokenizer-eeg-pretrained
76M • Updated • 103
braindecode/neurorvq-tokenizer-ecg-pretrained
68.1M • Updated • 49
braindecode/neurorvq-tokenizer-ppg-pretrained
69M • Updated • 48
braindecode/neurorvq-emg-pretrained
5.85M • Updated • 48
braindecode/neurorvq-eeg-pretrained
5.87M • Updated • 707
braindecode/neurorvq-ecg-pretrained
264k • Updated • 39
braindecode/mapa-pretrained
21.3M • Updated • 76
datasets 13
braindecode/faced
Updated • 869
braindecode/tutorials
Updated • 23
braindecode/example_dataset-raw
Viewer • Updated • 1 • 48
braindecode/example_dataset-eegwindows
Preview • Updated • 64
braindecode/example_dataset-windows
Preview • Updated • 85
braindecode/chbmit
Updated • 506
braindecode/isruc-sleep
Updated • 438
braindecode/physionet
Updated • 910
braindecode/mdd_mumtaz2016
Updated • 477
braindecode/arithmetic_zyma2019
Updated • 198