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.)
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
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.
MOCCASIN translates basic ODE-based MATLAB models of biological processes into SBML format.
This repository contains simulations of drones movement according to Autonomous Drone Model.
ODE solvers simulating the loading of atoms into a combined magnetic and optical dipole trap
LayerCake is a framework to design systems of partial differential equations (PDEs), and convert them to ordinary differential equations (ODEs) via Galerkin-type expansions.
An optimization driven ODE-based modeling pipeline for analyzing cell-signaling dynamics over time.
Evaluating numerical methods for approximating ODE using Python
Modeling light inducible protein interaction systems via ODEs.
Putting [A]NODEs ([Augmented] Neural ODEs) to work, for Time Series prediction and simulation
Learning about optimizing objective functions, efficient modeling and simulation algorithms in computational science.
Part of MSc Biology Project (2/2). Ordinary Differential Equations (ODE) model for modelling protein, more specifically Sfp1, translocation.
Tools for numerical analysis of ODE in python
Stochastic Simulator of Chemical Reactions
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.
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