A Python Toolbox for Statistics and Neurophysiological Signal Processing (EEG, EDA, ECG, EMG...).

Boundary value problem (BVP) solvers for scientific machine learning (SciML)

MFM community development code

This repository contains an Imperial College ReCoDE Exemplar, featuring a Fortran-based PDE solver with detailed learning annotations. It's designed as a research computing resource for doctoral students and researchers.

A collection of python implementations using SWIG, Instant, F2PY... Optimization like Least Squares Levenberg-Marquardt. Boundary Value problem solvers. Integration Simpson/Trapezoidal. Interpolation like Cubic spline. Tridiagonal/pentadiagonal system of equations solver. Linear algebra like Matrix inversion (Gauss-Jordan) and much more

Almost block diagonal matrices factorization and solving in Julia

FacePulseRate: A suite of features to facilitate the use of pulse-rate algorithms included in iPhys Toolbox.

A Modern Fortran translation of the TWOPNT program for Boundary Value Problems

MathSoftDevelopment

Solving boundary value problem (BVP) using Legendre Gauss Lobatto (LGL) collocation

End-to-end physiological stress detection pipeline using WESAD dataset — multi-modal signal processing (ECG, EDA, BVP), feature extraction, XGBoost/MLP/Random Forest with LOSO cross-validation, and ONNX export.

Python package for solving two-point boundary value problems that wraps BVP_SOLVER

Open-rPPG Backend is a comprehensive Python-based backend system for Remote Photoplethysmography (rPPG) inference, enabling physiological signal measurement such as heart rate and heart rate variability from facial videos using state-of-the-art deep learning models and scalable API architecture.

A set of tools for BVP (Blocky Volume Package)

A premium web application for solving Ordinary Differential Equations (ODEs) using advanced numerical methods like Finite Difference and Shooting Techniques.

Open-rppg is a comprehensive Python toolbox designed for Remote Photoplethysmography (rPPG) inference. It provides a unified interface for state-of-the-art deep learning models, enabling physiological signal measurement (such as heart rate and heart rate variability) from facial videos.

Sane Extensions to MATLAB