Alternatives and similar repositories for dlkoopman:

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

• EthanJamesLew / AutoKoopman
  AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.
  ☆67Updated 9 months ago
• eurika-kaiser / KRONIC
  Koopman Reduced-Order Nonlinear Identification and Control
  ☆86Updated 4 years ago
• dynamicslab / SINDy-PI
  SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamics
  ☆139Updated 3 years ago
• dynamicslab / pykoopman
  A package for computing data-driven approximations to the Koopman operator.
  ☆334Updated 3 months ago
• Machine-Learning-Dynamical-Systems / kooplearn
  A Python package to learn the Koopman operator.
  ☆53Updated 3 months ago
• sklus / d3s
  Data-driven dynamical systems toolbox.
  ☆72Updated last month
• dynamicslab / modified-SINDy
  Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…
  ☆54Updated 2 years ago
• decargroup / pykoop
  Koopman operator identification library in Python, compatible with `scikit-learn`
  ☆67Updated 3 months ago
• mathLab / PyDMD
  mathLab mirror of Python Dynamic Mode Decomposition
  ☆82Updated 4 months ago
• clegaard / deep_learning_for_dynamical_systems
  ☆83Updated 2 years ago
• erichson / koopmanAE
  Consistent Koopman Autoencoders
  ☆70Updated last year
• asikist / nnc
  A framework for neural network control of dynamical systems over graphs.
  ☆57Updated 2 years ago
• MilanKorda / KoopmanMPC
  ☆65Updated 6 years ago
• urban-fasel / SEIR_SINDY_MPC
  ☆41Updated 3 years ago
• urban-fasel / EnsembleSINDy
  ☆19Updated 3 years ago
• ContiPaolo / EKF-SINDy
  Empowering extended Kalman filter (EKF) with Sparse Identification of Nonlinear Dynamics (SINDy)
  ☆46Updated last month
• BethanyL / DeepKoopman
  neural networks to learn Koopman eigenfunctions
  ☆390Updated 10 months ago
• dynamicslab / hydrogym
  An RL-Gym for Challenge Problems in Data-Driven Modeling and Control of Fluid Dynamics.
  ☆61Updated last month
• MLDS-NUS / KoopmanDL
  Learning Koopman operator by EDMD with trainable dictionary
  ☆22Updated 2 years ago
• xl402 / deep-koopman
  IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control
  ☆44Updated 4 years ago
• TUM-ITR / koopcore
  Koopman Kernels for Learning Dynamical Systems from Trajectory Data
  ☆24Updated last year
• coursekevin / svise
  Accompanying code for "State Estimation of a Physical System without Governing Equations"
  ☆84Updated 7 months ago
• wuwushrek / physics_constrained_nn
  Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling
  ☆46Updated 3 years ago
• baddoo / LANDO
  Codes for Linear and Nonlinear Disambiguation Optimization (LANDO)
  ☆28Updated 3 years ago
• josephbakarji / deep-delay-autoencoder
  Discovers high dimensional models from 1D data using deep delay autoencoders
  ☆31Updated 2 years ago
• Jonas-Nicodemus / PINNs-based-MPC
  We discuss nonlinear model predictive control (NMPC) for multi-body dynamics via physics-informed machine learning methods. Physics-infor…
  ☆94Updated last year
• loiseaujc / SINDy
  ☆41Updated 7 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…
  ☆19Updated last year
• mbudisic / koopman
  Koopman Mode Decomposition
  ☆71Updated 7 years ago
• MColbrook / Residual-Dynamic-Mode-Decomposition
  Code for ResDMD: data-driven spectral properties of Koopman Operators
  ☆33Updated 11 months ago