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.
  ☆399Updated last year
• kpchamp / SindyAutoencoders
  ☆377Updated 4 years ago
• GaloisInc / dlkoopman
  A general-purpose Python package for Koopman theory using deep learning.
  ☆116Updated 3 months ago
• Machine-Learning-Dynamical-Systems / kooplearn
  A Python package to learn the Koopman operator.
  ☆65Updated this week
• dynamicslab / SINDy-PI
  SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamics
  ☆157Updated 4 years ago
• Koopman-Laboratory / KoopmanLab
  A library for Koopman Neural Operator with Pytorch.
  ☆311Updated last year
• sklus / d3s
  Data-driven dynamical systems toolbox.
  ☆78Updated 2 months ago
• erichson / koopmanAE
  Consistent Koopman Autoencoders
  ☆75Updated 2 years ago
• greydanus / hamiltonian-nn
  Code for our paper "Hamiltonian Neural Networks"
  ☆498Updated 4 years ago
• snagcliffs / PDE-FIND
  ☆273Updated 3 years ago
• josephbakarji / deep-delay-autoencoder
  Discovers high dimensional models from 1D data using deep delay autoencoders
  ☆37Updated 2 years ago
• MilesCranmer / lagrangian_nns
  Lagrangian Neural Networks
  ☆531Updated 3 months ago
• zabaras / transformer-physx
  Transformers for modeling physical systems
  ☆145Updated 2 years ago
• eurika-kaiser / KRONIC
  Koopman Reduced-Order Nonlinear Identification and Control
  ☆92Updated 5 years ago
• mbudisic / koopman
  Koopman Mode Decomposition
  ☆74Updated 8 years ago
• helange23 / from_fourier_to_koopman
  Linear and non-linear spectral forecasting algorithms
  ☆138Updated 4 years ago
• n-takeishi / learning-kis
  Demo implementation of Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition
  ☆40Updated 3 years ago
• baddoo / LANDO
  Codes for Linear and Nonlinear Disambiguation Optimization (LANDO)
  ☆31Updated 3 years ago
• asikist / nnc
  A framework for neural network control of dynamical systems over graphs.
  ☆56Updated 3 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
• coursekevin / svise
  Accompanying code for "State Estimation of a Physical System without Governing Equations"
  ☆93Updated last year
• lukebhan / PDEControlGym
  This gym provides implementations of various PDEs for easy testing and comparison of data-driven and classical PDE control algorithms.
  ☆35Updated last week
• mathLab / PyDMD
  mathLab mirror of Python Dynamic Mode Decomposition
  ☆110Updated 9 months ago
• loiseaujc / SINDy
  ☆42Updated 7 years ago
• PyDMD / PyDMD
  Python Dynamic Mode Decomposition
  ☆1,137Updated last week
• maziarraissi / DeepHPMs
  Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations
  ☆284Updated 3 years ago
• eurika-kaiser / SINDY-MPC
  ☆296Updated 5 years ago
• EthanJamesLew / AutoKoopman
  AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.
  ☆82Updated last year
• Crunch-UQ4MI / neuraluq
  ☆197Updated 8 months ago
• eigensteve / pysindy
  A package for the sparse identification of nonlinear dynamical systems from data
  ☆10Updated 5 years ago