Alternatives and similar repositories for nfoursid

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

• dynamicslab / modified-SINDy
  Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…
  ☆56Updated 3 years ago
• decargroup / pykoop
  Koopman operator identification library in Python, compatible with `scikit-learn`
  ☆85Updated last month
• ContiPaolo / EKF-SINDy
  Empowering extended Kalman filter (EKF) with Sparse Identification of Nonlinear Dynamics (SINDy)
  ☆62Updated 4 months ago
• dynamicslab / pykoopman
  A package for computing data-driven approximations to the Koopman operator.
  ☆375Updated 9 months ago
• luckystarufo / pySINDy
  SINDy (Sparse Identification of Nonlinear Dynamics) algorithms
  ☆79Updated 2 years ago
• jbramburger / DataDrivenDynSyst
  Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems
  ☆136Updated last month
• florisvb / PyNumDiff
  Methods for numerical differentiation of noisy data in python
  ☆122Updated this week
• dynamicslab / SINDy-PI
  SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamics
  ☆152Updated 4 years ago
• dynamicslab / pysensors
  PySensors is a Python package for sparse sensor placement
  ☆92Updated last week
• mathLab / PyDMD
  mathLab mirror of Python Dynamic Mode Decomposition
  ☆102Updated 5 months ago
• eigensteve / pysindy
  A package for the sparse identification of nonlinear dynamical systems from data
  ☆11Updated 5 years ago
• andreikitaitsev / SymINDy
  Symbolic Identification of Non-linear Dynamics. The method generalizes the SINDy algorithm by combining sparse and genetic-programming-ba…
  ☆76Updated 3 years ago
• hyumo / pysindy-gui
  PySINDy GUI
  ☆40Updated 2 years ago
• baddoo / LANDO
  Codes for Linear and Nonlinear Disambiguation Optimization (LANDO)
  ☆29Updated 3 years ago
• DS-4-DS / DS4DS_Course
  Data Science for Dynamical System Course
  ☆124Updated 10 months ago
• nasa / SMCPy
  Python module for uncertainty quantification using a parallel sequential Monte Carlo sampler
  ☆121Updated last month
• sklus / d3s
  Data-driven dynamical systems toolbox.
  ☆75Updated last month
• python-control / Slycot
  Python wrapper for the Subroutine Library in Systems and Control Theory (SLICOT)
  ☆144Updated 3 weeks ago
• stur86 / tvregdiff
  Python version of Rick Chartrand's algorithm for numerical differentiation of noisy data
  ☆73Updated 4 years ago
• mattja / sdeint
  Numerical integration of Ito or Stratonovich SDEs
  ☆167Updated 2 years ago
• BYU-PRISM / Seeq
  Hybrid (Physics-Informed) Machine Learning
  ☆48Updated 3 weeks ago
• hippylib / soupy
  Stochastic Optimization under Uncertainty in Python.
  ☆36Updated 3 months ago
• Machine-Learning-Dynamical-Systems / kooplearn
  A Python package to learn the Koopman operator.
  ☆61Updated 9 months ago
• wilsonrljr / sysidentpy
  A Python Package For System Identification Using NARMAX Models
  ☆459Updated this week
• baddoo / piDMD
  MATLAB codes for physics-informed dynamic mode decomposition (piDMD)
  ☆157Updated last year
• forgi86 / dynonet
  "dynoNet: A neural network architecture for learning dynamical systems" by Marco Forgione and Dario Piga
  ☆46Updated last year
• AndyLamperski / pyN4SID
  A Python Implementation of the N4SID algorithm
  ☆30Updated 5 years ago
• andgoldschmidt / derivative
  Optimal numerical differentiation of noisy time series data in python.
  ☆65Updated last month
• GaloisInc / dlkoopman
  A general-purpose Python package for Koopman theory using deep learning.
  ☆107Updated 6 months ago
• horchler / SDETools
  Matlab Toolbox for the Numerical Solution of Stochastic Differential Equations
  ☆102Updated 4 years ago