All

4 repositories

MARBLE
Public
Package for the data-driven representation of non-linear dynamics over manifolds based on a statistical distribution of local phase portrait features. Includes specific example on dynamical systems, synthetic- and real neural datasets.
machine-learning deep-learning data-driven recurrent-neural-networks dynamical-systems dynamical-modeling neural-data-analysis geometric-deep-learning non-linear-dynamics
Python
•
MIT License
•11•72•1•0•Updated Feb 22, 2025Feb 22, 2025
RVGP
Public
A generalised Gaussian process method for learning vector fields over non-Euclidean domains. Particularly useful for EEG data analysis and to regularise vector fields using global structures.
geometry signal-processing eeg manifold gaussian-processes vector-field
HTML
•3•24•3•0•Updated Oct 28, 2024Oct 28, 2024
BCI_hackathon
Public
Python
•0•2•4•1•Updated Aug 5, 2024Aug 5, 2024
geometric_clustering
Public
Graph clustering based on dynamic Ollivier-Ricci curvature.
Python
•1•12•1•1•Updated May 25, 2023May 25, 2023