Alternatives and similar repositories for KernelFlows

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

• josephbakarji / deep-delay-autoencoder
  Discovers high dimensional models from 1D data using deep delay autoencoders
  ☆37Updated 2 years ago
• kpchamp / SindyAutoencoders
  ☆368Updated 3 years ago
• BethanyL / DeepKoopman
  neural networks to learn Koopman eigenfunctions
  ☆426Updated last year
• dynamicslab / pykoopman
  A package for computing data-driven approximations to the Koopman operator.
  ☆376Updated 10 months ago
• Crunch-UQ4MI / neuraluq
  ☆189Updated 5 months ago
• Machine-Learning-Dynamical-Systems / kooplearn
  A Python package to learn the Koopman operator.
  ☆61Updated 9 months ago
• baddoo / LANDO
  Codes for Linear and Nonlinear Disambiguation Optimization (LANDO)
  ☆29Updated 3 years ago
• NickGeneva / blog-code
  Code and files related to random side projects
  ☆21Updated 3 years ago
• loiseaujc / SINDy
  ☆41Updated 7 years ago
• mathLab / PyDMD
  mathLab mirror of Python Dynamic Mode Decomposition
  ☆104Updated 6 months ago
• pmorenoz / HetMOGP
  Heterogeneous Multi-output Gaussian Processes
  ☆52Updated 5 years ago
• ae-foster / pyro
  Deep universal probabilistic programming with Python and PyTorch
  ☆12Updated 5 years ago
• dynamicslab / SINDy-PI
  SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamics
  ☆152Updated 4 years ago
• luckystarufo / pySINDy
  SINDy (Sparse Identification of Nonlinear Dynamics) algorithms
  ☆79Updated 2 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
• helange23 / from_fourier_to_koopman
  Linear and non-linear spectral forecasting algorithms
  ☆137Updated 4 years ago
• erichson / koopmanAE
  Consistent Koopman Autoencoders
  ☆74Updated 2 years ago
• snagcliffs / PDE-FIND
  ☆258Updated 2 years ago
• treforevans / uci_datasets
  Regression datasets from the UCI repository with standardized test-train splits.
  ☆47Updated 3 years ago
• sdascoli / odeformer
  ☆67Updated last year
• GAMES-UChile / mogptk
  Multi-Output Gaussian Process Toolkit
  ☆175Updated 3 months ago
• GaloisInc / dlkoopman
  A general-purpose Python package for Koopman theory using deep learning.
  ☆108Updated 7 months ago
• spdes / computational-sde-intro-lecture
  Lecture "A computational introduction to stochastic differential equations".
  ☆24Updated 2 months ago
• coursekevin / svise
  Accompanying code for "State Estimation of a Physical System without Governing Equations"
  ☆89Updated last year
• JayLago / DLDMD
  Deep learning assisted dynamic mode decomposition
  ☆20Updated 3 years ago
• AaltoML / SDE
  Example codes for the book Applied Stochastic Differential Equations
  ☆197Updated 4 years ago
• sethhirsh / BayesianSindy
  ☆14Updated 3 years ago
• urban-fasel / EnsembleSINDy
  ☆23Updated 3 years ago
• jbramburger / DataDrivenDynSyst
  Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems
  ☆138Updated last month
• biomathlab / PDElearning
  Code repository for the paper "Learning partial differential equations for biological transport models from noisy spatiotemporal data"
  ☆10Updated 6 years ago