Alternatives and similar repositories for svise:

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

• GaloisInc / dlkoopman
  A general-purpose Python package for Koopman theory using deep learning.
  ☆96Updated last month
• decargroup / pykoop
  Koopman operator identification library in Python, compatible with `scikit-learn`
  ☆68Updated 3 months ago
• EEA-sensors / Bayesian-Filtering-and-Smoothing
  Companion Matlab and Python codes for the book Bayesian Filtering and Smoothing by Simo Särkkä and Lennart Svensson
  ☆68Updated last year
• EthanJamesLew / AutoKoopman
  AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.
  ☆69Updated 10 months ago
• dynamicslab / pykoopman
  A package for computing data-driven approximations to the Koopman operator.
  ☆340Updated 4 months ago
• MColbrook / Residual-Dynamic-Mode-Decomposition
  Code for ResDMD: data-driven spectral properties of Koopman Operators
  ☆33Updated 11 months ago
• sklus / d3s
  Data-driven dynamical systems toolbox.
  ☆73Updated 3 weeks ago
• liouvill / NeuralEKF
  Neural Extended Kalman Filters
  ☆12Updated last year
• asikist / nnc
  A framework for neural network control of dynamical systems over graphs.
  ☆57Updated 2 years ago
• urban-fasel / SEIR_SINDY_MPC
  ☆41Updated 3 years ago
• loiseaujc / SINDy
  ☆41Updated 7 years ago
• ContiPaolo / EKF-SINDy
  Empowering extended Kalman filter (EKF) with Sparse Identification of Nonlinear Dynamics (SINDy)
  ☆48Updated last month
• sethhirsh / BayesianSindy
  ☆13Updated 3 years ago
• dynamicslab / modified-SINDy
  Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…
  ☆54Updated 2 years ago
• josephbakarji / deep-delay-autoencoder
  Discovers high dimensional models from 1D data using deep delay autoencoders
  ☆32Updated 2 years ago
• zgbkdlm / ssdgp
  State-space deep Gaussian processes in Python and Matlab
  ☆30Updated 2 years ago
• baddoo / LANDO
  Codes for Linear and Nonlinear Disambiguation Optimization (LANDO)
  ☆28Updated 3 years ago
• ymchen0 / torchEnKF
  Code for the paper "Auto differentiable Ensemble Kalman Filters" (https://arxiv.org/abs/2107.07687), accepted for publication in SIAM Jou…
  ☆29Updated 2 years ago
• urban-fasel / EnsembleSINDy
  ☆19Updated 3 years ago
• dynamicslab / pysensors
  PySensors is a Python package for sparse sensor placement
  ☆86Updated this week
• dynamicslab / SINDy-PI
  SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamics
  ☆141Updated 3 years ago
• BethanyL / DeepKoopman
  neural networks to learn Koopman eigenfunctions
  ☆397Updated 11 months ago
• japlatt / BasicReservoirComputing
  Implementation of a reservoir computer with functions to optimize the parameters and calculate the Lyapunov exponents
  ☆27Updated 2 years ago
• mathLab / PyDMD
  mathLab mirror of Python Dynamic Mode Decomposition
  ☆83Updated this week
• Koopman-Laboratory / KoopmanLab
  A library for Koopman Neural Operator with Pytorch.
  ☆263Updated 5 months ago
• HildoBijl / GPRT
  Gaussian Process Regression Techniques - The source code corresponding to the Ph.D. thesis.
  ☆72Updated 7 years ago
• dgedon / DeepSSM_SysID
  Official PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.
  ☆90Updated 3 years ago
• wuwushrek / physics_constrained_nn
  Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling
  ☆46Updated 3 years ago
• pvlachas / RNN-Lyapunov-Spectrum
  A data-driven method to calculate the Lyapunov exponent of a dynamical system employing a GRU-RNN.
  ☆41Updated 7 months ago