Chaotic attractors with python (Lorenz, Rossler, Rikitake etc.)
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Updated
Jan 13, 2024 - Python
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.
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.
Exact reduction of ODE models via linear transformations
MPC for spring mass example
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
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"
MATLAB Toolbox for ODE constrained mixture models
Basic script for modelling aircraft 'phugoid motion'.
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