pyRiemann is a Python machine learning library based on scikit-learn API. It provides a high-level interface for classification and manipulation of multivariate signal through Riemannian Geometry of covariance matrices. pyRiemann aims at being a generic package for multivariate signal classification but has been designed around applications of biosignal (M/EEG, EMG, etc) classification.
Keywords for this software
References in zbMATH (referenced in 2 articles )
Showing results 1 to 2 of 2.
- Absil, Pierre-Antoine (ed.); Herzog, Roland (ed.); Steidl, Gabriele (ed.): Mini-workshop: Computational optimization on manifolds. Abstracts from the mini-workshop held November 15--21, 2020 (online meeting) (2020)
- Miolane, Nina; Guigui, Nicolas; Le Brigant, Alice; Mathe, Johan; Hou, Benjamin; Thanwerdas, Yann; Heyder, Stefan; Peltre, Olivier; Koep, Niklas; Zaatiti, Hadi; Hajri, Hatem; Cabanes, Yann; Gerald, Thomas; Chauchat, Paul; Shewmake, Christian; Brooks, Daniel; Kainz, Bernhard; Donnat, Claire; Holmes, Susan; Pennec, Xavier: Geomstats: a Python package for Riemannian geometry in machine learning (2020)