There are 3 repositories under hamiltonian-dynamics topic.
A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.
Symplectic Recurrent Neural Networks
Sampling-based approach to analyse neural networks using TensorFlow
Port-Hamiltonian Approach to Neural Network Training
Symplectic integration of Hamiltonian systems. Zymplectic is a pre-compiled GUI and engine with 2D/3D-graphics bundled with more than 80 example dynamical systems in cpp format
The package phlearn for modelling pseudo-Hamiltonian systems by pseudo-Hamiltonian neural networks (PHNN), for ODEs and PDEs
Learn Hamiltonian from Trajectory & Lagrangian Correspondence from in-out data
Dash App - simulation of double pendulum equations of motion
Numerical results for deterministic dynamics of a system coupled to a finite and chaotic bath.
Flows: classical, Hamiltonian, from OCP and more
Python library for quantum systems and simulation
Jerarquía de ecuaciones diferenciales asociadas a una ecuación de evolución bi-Hamiltoniana, con un ejemplo canónico para la ecuación de Korteweg-De Vries.
Theoretical project regarding hamiltonian and lagrangian neural network
Numerical work related to Clock Space Hamiltonian Simulation
Plotted phase space trajectories for different mechanical systems using Python.
Solutions to Mathematical Methods of Classical Mechanics by V.A.Arnold