Alternatives and similar repositories for PortHamiltonianNN

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

• PredictiveIntelligenceLab / GP-NODEs
  ☆29Updated 2 years ago
• dynamicslab / modified-SINDy
  Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…
  ☆55Updated 2 years ago
• mfinzi / constrained-hamiltonian-neural-networks
  ☆107Updated 4 years ago
• sklus / d3s
  Data-driven dynamical systems toolbox.
  ☆74Updated last week
• cagatayyildiz / npde
  Nonparametric Differential Equation Modeling
  ☆53Updated last year
• IlyaOrson / Control-NeuralODE
  Neural ODEs as Feedback Policies for Nonlinear Optimal Control (IFAC 2023) https://doi.org/10.1016/j.ifacol.2023.10.1248
  ☆16Updated last year
• 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
• afqueiruga / StatefulOdeNets
  Refining continuous-in-depth neural networks
  ☆39Updated 3 years ago
• Physics-aware-AI / Symplectic-ODENet
  ☆45Updated 4 years ago
• clegaard / deep_learning_for_dynamical_systems
  ☆87Updated 2 years ago
• IvanYashchuk / jax-fenics
  Differentiable interface to FEniCS for JAX
  ☆53Updated 3 years ago
• DiffEqML / torchcontrol
  A PyTorch library for all things nonlinear control and reinforcement learning.
  ☆46Updated 3 years ago
• luckystarufo / multiscale_HiTS
  ☆72Updated 4 years ago
• cagatayyildiz / npode
  Learning unknown ODE models with Gaussian processes
  ☆26Updated 6 years ago
• jpzxshi / sympnets
  ☆27Updated 4 years ago
• niallmm / Hybrid-SINDy
  Sparse Identification of Nonlinear Dynamics for Hybrid Systems
  ☆24Updated 6 years ago
• coursekevin / weakformghnn
  Accompanying code for "Weak form generalized Hamiltonian learning"
  ☆9Updated 4 years ago
• asikist / nnc
  A framework for neural network control of dynamical systems over graphs.
  ☆58Updated 2 years ago
• paulxshen / neural-ode-cartpole
  ☆23Updated 4 years ago
• lorenzrichter / PDE-backward-solver
  ☆21Updated 6 months ago
• ManshaP / KoopmanNets
  project for my essay on how to use neural networks to linearise nonlinear dynamical systems
  ☆9Updated 4 years ago
• DiffEqML / diffeqml-research
  This repository contains code released by DiffEqML Research
  ☆90Updated 3 years ago
• d-biswa / Symplectic-ODENet
  ☆15Updated 4 years ago
• remcovandermeer / Optimally-Weighted-PINNs
  ☆41Updated 5 years ago
• PredictiveIntelligenceLab / JAX-BO
  ☆30Updated 2 years ago
• kpchamp / MultiscaleDiscovery
  ☆29Updated 6 years ago
• zhengdao-chen / SRNN
  Symplectic Recurrent Neural Networks
  ☆28Updated 2 years ago
• loiseaujc / SINDy
  ☆41Updated 7 years ago
• peterparity / symder
  SymDer: Symbolic Derivative Approach to Discovering Sparse Interpretable Dynamics from Partial Observations
  ☆21Updated 2 years ago
• hippylib / soupy
  Stochastic Optimization under Uncertainty in Python.
  ☆35Updated this week