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

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 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.

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

Official implementation of XMorph: An explainable brain tumor classification framework fusing deep learning, nonlinear chaotic features, and LLM-generated clinical narratives.

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.

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

Refinements of reservoir neural networks for chaotic time series forecasting

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

A clean numerical simulation (CNS) library

Implementation of Recurrence-free QRC with denoising for optimal training

ESGP: A Hybrid ESN Architecture with Gated Dynamics

A double pendulum uGen with circle map forcing

Lorenz attractor simulator

A Python simulation of the double pendulum system using Lagrangian mechanics to demonstrate chaotic behavior.