Alternatives and similar repositories for DeepKoopman

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

• dynamicslab / pykoopman
  A package for computing data-driven approximations to the Koopman operator.
  ☆387Updated 11 months ago
• kpchamp / SindyAutoencoders
  ☆373Updated 4 years ago
• GaloisInc / dlkoopman
  A general-purpose Python package for Koopman theory using deep learning.
  ☆110Updated last month
• dynamicslab / SINDy-PI
  SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamics
  ☆153Updated 4 years ago
• Koopman-Laboratory / KoopmanLab
  A library for Koopman Neural Operator with Pytorch.
  ☆306Updated last year
• sklus / d3s
  Data-driven dynamical systems toolbox.
  ☆77Updated this week
• greydanus / hamiltonian-nn
  Code for our paper "Hamiltonian Neural Networks"
  ☆486Updated 4 years ago
• Machine-Learning-Dynamical-Systems / kooplearn
  A Python package to learn the Koopman operator.
  ☆63Updated this week
• snagcliffs / PDE-FIND
  ☆264Updated 2 years ago
• erichson / koopmanAE
  Consistent Koopman Autoencoders
  ☆74Updated 2 years ago
• zabaras / transformer-physx
  Transformers for modeling physical systems
  ☆144Updated 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
• josephbakarji / deep-delay-autoencoder
  Discovers high dimensional models from 1D data using deep delay autoencoders
  ☆37Updated 2 years ago
• baddoo / piDMD
  MATLAB codes for physics-informed dynamic mode decomposition (piDMD)
  ☆160Updated last year
• MilesCranmer / lagrangian_nns
  Lagrangian Neural Networks
  ☆517Updated last month
• PyDMD / PyDMD
  Python Dynamic Mode Decomposition
  ☆1,051Updated 3 weeks ago
• Crunch-UQ4MI / neuraluq
  ☆194Updated 6 months ago
• baddoo / LANDO
  Codes for Linear and Nonlinear Disambiguation Optimization (LANDO)
  ☆31Updated 3 years ago
• loiseaujc / SINDy
  ☆41Updated 7 years ago
• lukebhan / PDEControlGym
  This gym provides implementations of various PDEs for easy testing and comparison of data-driven and classical PDE control algorithms.
  ☆33Updated 3 months ago
• eurika-kaiser / KRONIC
  Koopman Reduced-Order Nonlinear Identification and Control
  ☆91Updated 5 years ago
• maziarraissi / DeepHPMs
  Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations
  ☆280Updated 3 years ago
• mbudisic / koopman
  Koopman Mode Decomposition
  ☆73Updated 8 years ago
• wuwushrek / physics_constrained_nn
  Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling
  ☆52Updated 3 years ago
• mathLab / PyDMD
  mathLab mirror of Python Dynamic Mode Decomposition
  ☆106Updated 7 months ago
• helange23 / from_fourier_to_koopman
  Linear and non-linear spectral forecasting algorithms
  ☆138Updated 4 years ago
• dynamicslab / hydrogym
  An RL-Gym for Challenge Problems in Data-Driven Modeling and Control of Fluid Dynamics.
  ☆81Updated 3 months ago
• eigensteve / pysindy
  A package for the sparse identification of nonlinear dynamical systems from data
  ☆11Updated 5 years ago
• d-biswa / Symplectic-ODENet
  ☆15Updated 4 years ago
• asikist / nnc
  A framework for neural network control of dynamical systems over graphs.
  ☆56Updated 3 years ago