Simulation of a Double Pendulum. Understanding Chaos Theory. Powered by Python and Streamlit.
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Updated
Aug 31, 2024 - Python
Simulation of a Double Pendulum. Understanding Chaos Theory. Powered by Python and Streamlit.
Learning cartpole swing-up control using Soft-Actor-Critic method
AI-powered chaos detection using Simple Harmonic Motion (SHM) & Double Pendulum examples! Compare a Neural Network (NN) with the Lyapunov exponent method to classify chaotic vs. non-chaotic systems. Features Deep Learning, SHAP explainability, F1-score, precision, recall, and stunning visualizations!
Physics simulation of the simple & double pendulum (deterministic chaos), integrated with RK4. Fully tunable from the command line — Python/NumPy/Matplotlib.
Project for "Computational Physics I" at RUB.
Clean-room replication of Hamiltonian Neural Networks (NeurIPS 2019) on the double pendulum — from Lagrangian to headline figure.
Double pendulum in PyGame with adjustable parameters
Modular Python physics simulations, starting with a real-time double pendulum in matplotlib
Visual reference animations of classic chaotic dynamical systems (double pendulum, Lorenz, logistic map, Kirkwood gaps)
Interactive double pendulum chaos simulator using Lagrangian mechanics and numerical integration
Modeling a double pendulum using Python and Lagrangian mechanics
ROUSSET Clotilde, PREDIERI Tony, PAGES Hugo, PIVARD Antonin, HOUSNI Mohamed 2023 double pendulum simulation with Runge Kutta 4
Double pendulum simulation in Scilab and Python
Render the double pendulum for every pendulum
Explore chaotic double-pendulum motion with hand-written RK4, energy checks, and trajectory-divergence estimates.
Black-box, physics-informed (UDE, Lagrangian NN) and probabilistic neural models for learning double-pendulum dynamics and identifying its physical parameters
Implementation of an assist-as-needed controller in the joint space of gait based on deviations of the ankle.
Physics-Informed Neural Network (PINN) using a custom GRU architecture to predict chaotic double pendulum dynamics. Implements Lagrangian mechanics as a structural loss constraint.
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