Alternatives and similar repositories for PortHamiltonianNN

Users that are interested in PortHamiltonianNN are comparing it to the libraries listed below

• mfinzi / constrained-hamiltonian-neural-networks
  ☆110Updated 4 years ago
• PredictiveIntelligenceLab / GP-NODEs
  ☆29Updated 2 years ago
• sklus / d3s
  Data-driven dynamical systems toolbox.
  ☆75Updated last month
• dynamicslab / modified-SINDy
  Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…
  ☆56Updated 3 years ago
• luckystarufo / multiscale_HiTS
  ☆73Updated 5 years ago
• DiffEqML / diffeqml-research
  This repository contains code released by DiffEqML Research
  ☆90Updated 3 years ago
• cagatayyildiz / npde
  Nonparametric Differential Equation Modeling
  ☆54Updated last year
• jpzxshi / sympnets
  ☆28Updated 4 years ago
• luckystarufo / pySINDy
  SINDy (Sparse Identification of Nonlinear Dynamics) algorithms
  ☆79Updated 2 years ago
• Physics-aware-AI / Symplectic-ODENet
  ☆45Updated 4 years ago
• zhengdao-chen / SRNN
  Symplectic Recurrent Neural Networks
  ☆28Updated 2 years ago
• NBoulle / RationalNets
  Code for the paper "Rational neural networks", NeurIPS 2020
  ☆27Updated 4 years ago
• niallmm / Hybrid-SINDy
  Sparse Identification of Nonlinear Dynamics for Hybrid Systems
  ☆25Updated 7 years ago
• PredictiveIntelligenceLab / BayesianDifferentiableProgramming
  ☆21Updated 4 years ago
• cselab / LED
  ☆21Updated 2 years ago
• william-redman / Koopman-Neural-Network-Training
  Software to train neural networks via Koopman operator theory (see Dogra and Redman "Optimizing Neural Networks via Koopman Operator Theo…
  ☆21Updated 2 years ago
• peterparity / symder
  SymDer: Symbolic Derivative Approach to Discovering Sparse Interpretable Dynamics from Partial Observations
  ☆21Updated 3 years ago
• loiseaujc / SINDy
  ☆41Updated 7 years ago
• afqueiruga / StatefulOdeNets
  Refining continuous-in-depth neural networks
  ☆42Updated 3 years ago
• pswpswpsw / SKDMD
  Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems
  ☆30Updated 3 years ago
• lindonroberts / trust-region
  Python trust-region subproblem solvers for nonlinear optimization
  ☆28Updated last year
• clegaard / deep_learning_for_dynamical_systems
  ☆88Updated 2 years ago
• martenlienen / finite-element-networks
  Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…
  ☆69Updated last year
• IvanYashchuk / jax-fenics
  Differentiable interface to FEniCS for JAX
  ☆57Updated 4 years ago
• hippylib / soupy
  Stochastic Optimization under Uncertainty in Python.
  ☆36Updated 3 months ago
• MColbrook / Residual-Dynamic-Mode-Decomposition
  Code for ResDMD: data-driven spectral properties of Koopman Operators
  ☆37Updated last year
• cagatayyildiz / npode
  Learning unknown ODE models with Gaussian processes
  ☆26Updated 7 years ago
• paulxshen / neural-ode-cartpole
  ☆24Updated 5 years ago
• remcovandermeer / Optimally-Weighted-PINNs
  ☆42Updated 5 years ago
• lorenzrichter / PDE-backward-solver
  ☆21Updated 10 months ago