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
models 99
braindecode/SleepFM
Updated
braindecode/plot_dance_event_detection
Updated
braindecode/popt-pretrained
Feature Extraction • 20M • Updated • 29 • 1
braindecode/brainbert-pretrained
43.2M • Updated • 543
braindecode/mvpformer-s-fnusa
73.6M • Updated • 14
braindecode/mvpformer-s-mayo
73.6M • Updated • 18
braindecode/mvpformer-m-swec
1B • Updated • 15
braindecode/mvpformer-s-swec
73.6M • Updated • 17
braindecode/mvpformer-m-pretrained
1B • Updated • 14
braindecode/mvpformer-s-pretrained
73.6M • Updated • 18
datasets 13
braindecode/faced
Updated • 50
braindecode/tutorials
Updated • 10
braindecode/example_dataset-raw
Viewer • Updated • 1 • 20
braindecode/example_dataset-eegwindows
Preview • Updated • 18
braindecode/example_dataset-windows
Preview • Updated • 55
braindecode/chbmit
Updated • 55
braindecode/isruc-sleep
Updated • 154
braindecode/physionet
Updated • 204
braindecode/mdd_mumtaz2016
Updated • 44
braindecode/arithmetic_zyma2019
Updated • 91