Alternatives and similar repositories for QuaSiModO

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

• sklus / d3s
  Data-driven dynamical systems toolbox.
  ☆80Updated last week
• PredictiveIntelligenceLab / GP-NODEs
  ☆28Updated 3 years ago
• MColbrook / Residual-Dynamic-Mode-Decomposition
  Code for ResDMD: data-driven spectral properties of Koopman Operators
  ☆42Updated last year
• Machine-Learning-Dynamical-Systems / kooplearn
  A Python package to learn the Koopman operator.
  ☆66Updated this week
• MORLab / sss
  sss - Sparse State-Space and System Analysis Toolbox
  ☆12Updated last year
• dynamicslab / modified-SINDy
  Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…
  ☆61Updated 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
• n-takeishi / bayesiandmd
  Bayesian Dynamic Mode Decomposition (Bayesian DMD)
  ☆18Updated 4 years ago
• luckystarufo / pySINDy
  SINDy (Sparse Identification of Nonlinear Dynamics) algorithms
  ☆79Updated 3 years ago
• n-takeishi / learning-kis
  Demo implementation of Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition
  ☆40Updated 4 years ago
• petergchang / sarkka-jax
  ☆12Updated 3 years ago
• mbudisic / koopman
  Koopman Mode Decomposition
  ☆74Updated 8 years ago
• TUM-ITR / koopcore
  Koopman Kernels for Learning Dynamical Systems from Trajectory Data
  ☆32Updated 2 years ago
• decargroup / pykoop
  Koopman operator identification library in Python, compatible with `scikit-learn`
  ☆103Updated 4 months ago
• cagatayyildiz / npode
  Learning unknown ODE models with Gaussian processes
  ☆27Updated 7 years ago
• urban-fasel / SEIR_SINDY_MPC
  ☆45Updated 4 years ago
• DS-4-DS / DS4DS_Course
  Data Science for Dynamical System Course
  ☆146Updated 2 months ago
• pygpc-polynomial-chaos / pygpc
  A Sensitivity and uncertainty analysis toolbox for Python based on the generalized polynomial chaos method
  ☆85Updated 2 months ago
• sabean / Koopman
  Learning dynamical systems from data: Koopman
  ☆19Updated 6 years ago
• dynamicslab / dominant-balance
  Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)
  ☆62Updated 5 years ago
• andreikitaitsev / SymINDy
  Symbolic Identification of Non-linear Dynamics. The method generalizes the SINDy algorithm by combining sparse and genetic-programming-ba…
  ☆85Updated 3 years ago
• janstenner / DistributedConvRL-PDE-Control
  ☆14Updated 2 years ago
• paulxshen / neural-ode-cartpole
  ☆24Updated 5 years ago
• leakec / tfc
  The Theory of Functional Connections: A functional interpolation method with applications in solving differential equations.
  ☆41Updated last month
• dynamicslab / hydrogym
  An RL-Gym for Challenge Problems in Data-Driven Modeling and Control of Fluid Dynamics.
  ☆93Updated 2 weeks ago
• loiseaujc / SINDy
  ☆43Updated 8 years ago
• baddoo / LANDO
  Codes for Linear and Nonlinear Disambiguation Optimization (LANDO)
  ☆32Updated 4 years ago
• dynamicslab / SINDy-PI
  SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamics
  ☆161Updated 4 years ago
• Zymrael / PortHamiltonianNN
  Port-Hamiltonian Approach to Neural Network Training
  ☆27Updated 6 years ago
• erichson / DMDpack
  Dynamic Mode Decomposition
  ☆61Updated 8 years ago