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

This is a 'hands-on' tutorial for the RIKEN International School on Data Assimilation (RISDA2018).

This repository contains the code for encrypting an image using various techniques and PRNGs.

Benchmarking tools for applying AI/ML to data assimilation

3D animation of the Lorenz Attractor trajectory, implemented in Python using the 4th order Runge-Kutta method. [Personal project]

Lyapunov exponent of maps and ODE in Python 3, example with Henon Map and Lorenz System

Python App for solving the Lorenz Equation

Chaos Equations (Lorenz Attractors) in python3 using the pygame, scipy and numpy libaries.

5 types of Kalman Filters and examples.

[🧬] Sphinx is image encryption software with DNA coding, spatial chaos and a unique key. It converts the RGB components into DNA matrices, combines them with XOR, scrambles them with a random sequence and decrypts them to recover the image.

Algoritmos de cifrado basados en la dinamica de sistemas caoticos

This program implements the Lorenz Attractor in python 3.7.4. The model consists of three coupled first order ordinary differential equations which has been implemented using a simple Euler approach. The implementation is based on a project template for the Aalborg University course "Scientific Computing using Python, part 1" (found at https://g…

Implementation of different Lorenz models (Matlab and Python)

Here, we can find different simulations of chaotic scenarios in physics. The codes were written as part of the University dissertation and intend to visualise and provide meaningful explanation to the system's characteristics.

Implicit Dynamical Flow Fusion (IDFF) for Generative Modeling

Lorenz Attractor

This repository contains the code for the blog post on Solving the Lorenz system using Runge-Kutta methods. For further details, please refer to this post.

Learning processing - python-mode

Non Linear Dynamics and Chaos (Analysis of 3D Lorenz System)

Graphical User Interface implementation of the Lorenz Attractor differential equations system for easy selection of initial conditions, time-step and sampling range.