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.
Rust-based project exploring chaotic systems through high-performance simulations
Numerical results for deterministic dynamics of a system coupled to a finite and chaotic bath.
Rust-based project exploring chaotic systems through high-performance simulations
A double pendulum uGen with circle map forcing
Implementation of classical and recurrence-free quantum reservoir computing for predicting chaotic dynamics
web-utilized react synthesizer test
Lorenz attractor simulator
Bifurcation Diagrams for Discrete-Time Maps in Python - https://doi.org/10.5281/zenodo.13276873
Implementation of Recurrence-free QRC with denoising for optimal training
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