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

Animation of the motion a double-pendulum. Both Julia and Python versions of the code are given.

Non-Linear Dynamic Systems

Official PyTorch implementation of PTS/PSRN: Fast and efficient symbolic expression discovery through parallelized tree search. Evaluates millions of expressions simultaneously on GPU with automated subtree reuse.

Official implementation of Learning Dissipative Chaos In A Linear Way

A collection of chaotic ODEs.

Neural network that has been trained to detect temporal correlation and distinguish chaotic from stochastic signals

An interactive exploration tool for dynamics in chaotic systems.

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.

0-1 Test for Chaos - Distinguish between regular and chaotic dynamics in deterministic dynamical systems.

A clean numerical simulation (CNS) library

Numerical results for deterministic dynamics of a system coupled to a finite and chaotic bath.

A double pendulum uGen with circle map forcing

Rust-based project exploring chaotic systems through high-performance simulations

Implementation of classical and recurrence-free quantum reservoir computing for predicting chaotic dynamics

Chaotic Systems with initial conditions modelled in Python

Bifurcation Diagrams for Discrete-Time Maps in Python - https://doi.org/10.5281/zenodo.13276873

A collection of programs that provide numerical solutions to and applications of differential equations, and model chaotic attractors.

Julia and Auto-07p codes for the paper "From chimeras to extensive chaos in networks of heterogeneous Kuramoto oscillator populations", by Pol Floriach, Jordi Garcia-Ojalvo, and Pau Clusella.

web-utilized react synthesizer test