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.
Recent Activity
View all activity
models 125
braindecode/epint-pretrained
19.2M • Updated • 139
braindecode/duin-pretrained
Feature Extraction • 4.18M • Updated • 290
braindecode/neurorvq-tokenizer-emg-pretrained
0.1B • Updated • 49
braindecode/neurorvq-tokenizer-eeg-pretrained
76M • Updated • 96
braindecode/neurorvq-tokenizer-ecg-pretrained
68.1M • Updated • 44
braindecode/neurorvq-tokenizer-ppg-pretrained
69M • Updated • 44
braindecode/neurorvq-emg-pretrained
5.85M • Updated • 47
braindecode/neurorvq-eeg-pretrained
5.87M • Updated • 695
braindecode/neurorvq-ecg-pretrained
264k • Updated • 37
braindecode/mapa-pretrained
21.3M • Updated • 74
datasets 13
braindecode/faced
Updated • 862
braindecode/tutorials
Updated • 22
braindecode/example_dataset-raw
Viewer • Updated • 1 • 44
braindecode/example_dataset-eegwindows
Preview • Updated • 67
braindecode/example_dataset-windows
Preview • Updated • 66
braindecode/chbmit
Updated • 497
braindecode/isruc-sleep
Updated • 406
braindecode/physionet
Updated • 902
braindecode/mdd_mumtaz2016
Updated • 477
braindecode/arithmetic_zyma2019
Updated • 227