Sampling-based approach to analyse neural networks using TensorFlow
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Updated
Apr 10, 2019 - Python
Sampling-based approach to analyse neural networks using TensorFlow
Code for the paper "Sparse Symplectically Integrated Neural Networks"
Conjugation method in configuration space for invariant tori of Hamiltonian systems
Symplectic Recurrent Neural Networks
Renormalization for the break-up of invariant tori in Hamiltonian flows
Dash App - Simulation of double pendulum equations of motion
pyHamSys is a Python package for scientific computations involving Hamiltonian systems
Official implementation of the paper "Neural Hamilton: Can A.I. Understand Hamiltonian Mechanics?"
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