Chaotic attractors with python (Lorenz, Rossler, Rikitake etc.)

ParameterEstimation.jl is a Julia package for estimating parameters and initial conditions of ODE models given measurement data.

[TGRS21] Crop Classification under Varying Cloud Cover with Neural Ordinary Differential Equations

Exact reduction of ODE models via linear transformations

Vehicle dynamics with a sophisticated friction model and drive-train model that can be used to augment any multi-body simulation (such as Gazebo) involving vehicles.

Tool to convert an ODE model specified in the YAML format to SBML.

R package for fitting kinetic models with one or more state variables to chemical degradation data

MOCCASIN translates basic ODE-based MATLAB models of biological processes into SBML format.

MPC for spring mass example

A MATLAB suite of initial value problems

This repository deals with analyzing various Neural Network approaches and finding the one with the most accurate reconstruction of motion captured trajectories recorded with missing markers in softwares like Vicon Nexus

Package for modeling glycolysis activity

Going through the tutorial on Physics-informed Neural Networks: https://github.com/madagra/basic-pinn

Virtual population generation, fitting, and benchmarking.

Code for fitting SEIRS transmission models for respiratory syncytial virus (RSV) to incidence data

Source code for "Slow Delayed Rectifier Protects Against Arrhythmic Activity Across Multiple Species - A Computational Study"

This project uses Python to simulate single pendulum and double pendulum. Simultaneously we explore the influence of different parameters on the motion of the system.

MATLAB Toolbox for ODE constrained mixture models