Alternatives and similar repositories for SymINDy:

Users that are interested in SymINDy 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…
  ☆54Updated 2 years ago
• luckystarufo / pySINDy
  SINDy (Sparse Identification of Nonlinear Dynamics) algorithms
  ☆74Updated 2 years ago
• dynamicslab / SINDy-PI
  SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamics
  ☆142Updated 3 years ago
• jbramburger / DataDrivenDynSyst
  Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems
  ☆107Updated 2 weeks ago
• josephbakarji / deep-delay-autoencoder
  Discovers high dimensional models from 1D data using deep delay autoencoders
  ☆34Updated 2 years ago
• hyumo / pysindy-gui
  PySINDy GUI
  ☆38Updated last year
• sklus / d3s
  Data-driven dynamical systems toolbox.
  ☆73Updated last month
• baddoo / LANDO
  Codes for Linear and Nonlinear Disambiguation Optimization (LANDO)
  ☆28Updated 3 years ago
• loiseaujc / SINDy
  ☆41Updated 7 years ago
• dynamicslab / pysensors
  PySensors is a Python package for sparse sensor placement
  ☆88Updated 3 weeks ago
• GaloisInc / dlkoopman
  A general-purpose Python package for Koopman theory using deep learning.
  ☆97Updated last month
• eigensteve / pysindy
  A package for the sparse identification of nonlinear dynamical systems from data
  ☆11Updated 5 years ago
• florisvb / PyNumDiff
  Methods for numerical differentiation of noisy data in python
  ☆116Updated 3 weeks ago
• PredictiveIntelligenceLab / GP-NODEs
  ☆29Updated 2 years ago
• ContiPaolo / EKF-SINDy
  Empowering extended Kalman filter (EKF) with Sparse Identification of Nonlinear Dynamics (SINDy)
  ☆49Updated this week
• dynamicslab / pykoopman
  A package for computing data-driven approximations to the Koopman operator.
  ☆345Updated 4 months ago
• dynamicslab / hydrogym
  An RL-Gym for Challenge Problems in Data-Driven Modeling and Control of Fluid Dynamics.
  ☆67Updated this week
• dynamicslab / dominant-balance
  Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)
  ☆56Updated 4 years ago
• mathLab / PyDMD
  mathLab mirror of Python Dynamic Mode Decomposition
  ☆84Updated 3 weeks ago
• clegaard / deep_learning_for_dynamical_systems
  ☆86Updated 2 years ago
• niallmm / Hybrid-SINDy
  Sparse Identification of Nonlinear Dynamics for Hybrid Systems
  ☆23Updated 6 years ago
• hippylib / soupy
  Stochastic Optimization under Uncertainty in Python.
  ☆35Updated 7 months ago
• DS-4-DS / DS4DS_Course
  Data Science for Dynamical System Course
  ☆114Updated 5 months ago
• niallmm / SINDy_AIC
  combination of sparse identification of nonlinear dynamics with Akaike information criteria
  ☆16Updated 7 years ago
• rezaakb / pinns-jax
  PINNs-JAX, Physics-informed Neural Networks (PINNs) implemented in JAX.
  ☆45Updated 6 months ago
• jkneifl / VENI-VINDy-VICI
  An interpretable data-driven framework for building generative reduced order models with embedded uncertainty quantification
  ☆32Updated 3 weeks ago
• Machine-Learning-Dynamical-Systems / kooplearn
  A Python package to learn the Koopman operator.
  ☆55Updated 4 months ago
• dynamicslab / langevin-regression
  Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton
  ☆25Updated 3 years ago
• NickGeneva / blog-code
  Code and files related to random side projects
  ☆21Updated 3 years ago
• decargroup / pykoop
  Koopman operator identification library in Python, compatible with `scikit-learn`
  ☆70Updated 4 months ago