EP-PINNs implementation for 1D and 2D forward and inverse solvers for the Aliev-Panfilov cardiac electrophysiology model. Also includes Matlab finite-differences solver for data generation.

Code repository for machine learning for cardiac electrophysiology

Source code for deep learning-based reduced order models in cardiac electrophysiology. Available on doi.org/10.1371/journal.pone.0239416.

Machine Learning for Cardiac Electrical Imaging

A Simulation Framework for Modeling Cardiac Electrophysiology and 12-Lead ECG Generation

Cardiac Electrophysiology MPI implementation for the Numerical Methods for PDEs (NMPDE) Course @POLIMI (Prof. Alfio Maria Quarteroni, TA Michele Bucelli)

Code associated with a publication on the action potential model parameter representing missing charge

Cocoro enables fully GPU-resident fast cardiac electrophysiological simulations on the Web through the modern WebGPU standard

gHH: Generalised Hodgkin–Huxley Model

ELECTRA is software for cardiac electrophysiology simulation

Julia, Python, C and WASM live demo codes to solve the minimal Calicium Cycling model, described in https://doi.org/10.1063/1.5000709

Non-parameteric Bayesian Inference of Myocardial Fiber Orientations from Electrical Activation Data