Symplectic Recurrent Neural Networks
- Updated
Jan 18, 2023 - Python
Symplectic Recurrent Neural Networks
Sampling-based approach to analyse neural networks using TensorFlow
Official implementation of the paper "Neural Hamilton: Can A.I. Understand Hamiltonian Mechanics?"
pyHamSys is a Python package for scientific computations involving Hamiltonian systems
Code for the paper "Sparse Symplectically Integrated Neural Networks"
Dash App - Simulation of double pendulum equations of motion
Python Library for Hamiltonian Markov-Chain Monte-Carlo in Computational Statistics (pyHaiCS).
Conjugation method in configuration space for invariant tori of Hamiltonian systems
JAX composable symplectic integrators: multi-map, implicit midpoint and Tao
Renormalization for the break-up of invariant tori in Hamiltonian flows
Generic accelerator elements modeling in JAX
Hamiltonian Lorenz models
Add a description, image, and links to the hamiltonian-dynamics topic page so that developers can more easily learn about it.
To associate your repository with the hamiltonian-dynamics topic, visit your repo's landing page and select "manage topics."