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 81
braindecode/emg2qwerty-generic
Updated • 14
braindecode/USleep
Feature Extraction • Updated
braindecode/TSception
Feature Extraction • Updated
braindecode/TIDNet
Feature Extraction • Updated
braindecode/SleepStagerChambon2018
Feature Extraction • Updated
braindecode/SyncNet
Feature Extraction • Updated
braindecode/SleepStagerBlanco2020
Feature Extraction • Updated
braindecode/SincShallowNet
Feature Extraction • Updated
braindecode/SignalJEPA_PostLocal
Feature Extraction • Updated
braindecode/SignalJEPA_PreLocal
Feature Extraction • Updated
datasets 13
braindecode/faced
Updated • 3.15k
braindecode/tutorials
Updated • 52
braindecode/example_dataset-raw
Viewer • Updated • 1 • 50
braindecode/example_dataset-eegwindows
Preview • Updated • 161
braindecode/example_dataset-windows
Preview • Updated • 101
braindecode/chbmit
Updated • 5.79k
braindecode/isruc-sleep
Updated • 7.97k
braindecode/physionet
Updated • 7.21k
braindecode/mdd_mumtaz2016
Updated • 2.39k
braindecode/arithmetic_zyma2019
Updated • 874