Alternatives and similar repositories for learning-kis

Users that are interested in learning-kis are comparing it to the libraries listed below

• sisl / deep_flow_control
  Source code for "Deep Dynamical Modeling and Control of Unsteady Fluid Flows" from NeurIPS 2018
  ☆48Updated 6 years ago
• eurika-kaiser / KRONIC
  Koopman Reduced-Order Nonlinear Identification and Control
  ☆90Updated 5 years ago
• arbabiha / DMD-for-ergodic-systems
  Computing the discrete spectrum of the Koopman operator using Dynamic Mode Decomposition
  ☆10Updated 5 years ago
• mbudisic / koopman
  Koopman Mode Decomposition
  ☆71Updated 7 years ago
• erichson / koopmanAE
  Consistent Koopman Autoencoders
  ☆74Updated 2 years ago
• panweihit / BSID
  Bayesian System IDentification
  ☆28Updated 7 years ago
• SheffieldML / multigp
  Multiple output Gaussian processes in MATLAB including the latent force model.
  ☆51Updated 9 years ago
• loiseaujc / SINDy
  ☆41Updated 7 years ago
• sisl / variational_koopman
  Source code for "Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control" fro…
  ☆40Updated 6 years ago
• maziarraissi / MultistepNNs
  Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems
  ☆63Updated 5 years ago
• ManshaP / KoopmanNets
  project for my essay on how to use neural networks to linearise nonlinear dynamical systems
  ☆9Updated 4 years ago
• arbabiha / StochasticModelingwData
  Data-driven modeling of chaotic systems in the form of SDEs and nonlinear observation maps
  ☆18Updated 4 years ago
• cagatayyildiz / npode
  Learning unknown ODE models with Gaussian processes
  ☆26Updated 6 years ago
• Machine-Learning-Dynamical-Systems / kooplearn
  A Python package to learn the Koopman operator.
  ☆57Updated 6 months ago
• PredictiveIntelligenceLab / GP-NODEs
  ☆29Updated 2 years ago
• kpchamp / MultiscaleDiscovery
  ☆29Updated 6 years ago
• sklus / d3s
  Data-driven dynamical systems toolbox.
  ☆74Updated 3 weeks ago
• zhbai / cDMDc
  Compressive dynamic mode decomposition with control for compressive system identification
  ☆40Updated 7 years ago
• sabean / Koopman
  Learning dynamical systems from data: Koopman
  ☆16Updated 5 years ago
• LeeLinJun / KoopmanControl
  ☆19Updated 5 years ago
• locuslab / stable_dynamics
  Companion code to "Learning Stable Deep Dynamics Models" (Manek and Kolter, 2019)
  ☆33Updated 5 years ago
• pswpswpsw / SKDMD
  Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems
  ☆29Updated 2 years ago
• YunzhuLi / CompositionalKoopmanOperators
  [ICLR 2020] Learning Compositional Koopman Operators for Model-Based Control
  ☆90Updated 4 years ago
• RogerFrigola / VGPSSM
  Variational Gaussian Process State-Space Models
  ☆24Updated 9 years ago
• urban-fasel / SEIR_SINDY_MPC
  ☆43Updated 3 years ago
• maziarraissi / TutorialGP
  Tutorial on Gaussian Processes
  ☆62Updated 5 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
• xl402 / deep-koopman
  IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control
  ☆45Updated 4 years ago
• sethhirsh / BayesianSindy
  ☆14Updated 3 years ago
• baddoo / LANDO
  Codes for Linear and Nonlinear Disambiguation Optimization (LANDO)
  ☆29Updated 3 years ago