Metadata-Version: 2.1
Name: p3k
Version: 0.1.9
Summary: p3k - yet another P300 offline classification tool
Home-page: https://github.com/lokinou/p300_analysis_from_openvibe_and_bci2000
Author: Loic Botrel
Author-email: <loic.botrel@uni-wuerzburg.de>
License: MIT
Keywords: python,bci2000,p300,speller,bci,bmi,eeg,openvibe,lda,mne
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Education
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: Microsoft :: Windows
Requires-Python: >3.7
Requires-Dist: scikit-learn (>=0.22)
Requires-Dist: pandas (>=1.3.2)
Requires-Dist: seaborn (>=0.11.2)
Requires-Dist: numpy (>=1.20.2)
Requires-Dist: mne (>=0.23)
Requires-Dist: matplotlib
Requires-Dist: BCI2kReader

P300 offline classification from BCI2000 P3Speller and OpenVibe P300 scenario


