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

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.

Exact reduction of ODE models via linear transformations

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

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

MPC for spring mass example

MCSim Models in R

No description provided.

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

ManiDyn is a MATLAB toolbox for symbolic modelling of serial-link robot Manipulators.

Virtual population generation, fitting, and benchmarking.

No description provided.

Package for modeling glycolysis activity

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

Implementation of a recurrent neural network based Observer/Identifier for highly Non-Linear Dynamical Systems, using the Lorenz Attractor as a test case.

Interactive MATLAB-based SEIRSVBH Simulator for COVID-19 modeling and analysis. Performs error quantification, parameter estimation, and direct simulations using officially reported data for Bulgaria (2020–2023).

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

LayerCake is a framework to design systems of partial differential equations (PDEs), and convert them to ordinary differential equations (ODEs) via Galerkin-type expansions.

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.

Code for mitochondrial dynamics ODE manuscript.

A set of codes in MATLAB for ODE reconstruction using least-square method

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

ODE solvers simulating the loading of atoms into a combined magnetic and optical dipole trap

MATLAB Toolbox for ODE constrained mixture models

Going through the tutorials for integrating PyMC with ODEs

Multi-condensate state as a functional strategy to optimize the cell signaling output