Alternatives and similar repositories for StochasticModelingwData

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

• kpchamp / MultiscaleDiscovery
  ☆28Updated 7 years ago
• pygpc-polynomial-chaos / pygpc
  A Sensitivity and uncertainty analysis toolbox for Python based on the generalized polynomial chaos method
  ☆80Updated last week
• n-takeishi / learning-kis
  Demo implementation of Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition
  ☆40Updated 3 years ago
• arbabiha / DMD-for-ergodic-systems
  Computing the discrete spectrum of the Koopman operator using Dynamic Mode Decomposition
  ☆10Updated 5 years ago
• helange23 / from_fourier_to_koopman
  Linear and non-linear spectral forecasting algorithms
  ☆137Updated 4 years ago
• loiseaujc / SINDy
  ☆41Updated 7 years ago
• luckystarufo / pySINDy
  SINDy (Sparse Identification of Nonlinear Dynamics) algorithms
  ☆78Updated 2 years ago
• cagatayyildiz / npode
  Learning unknown ODE models with Gaussian processes
  ☆26Updated 6 years ago
• PredictiveIntelligenceLab / GP-NODEs
  ☆29Updated 2 years ago
• dynamicslab / modified-SINDy
  Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…
  ☆56Updated 3 years ago
• Machine-Learning-Dynamical-Systems / kooplearn
  A Python package to learn the Koopman operator.
  ☆60Updated 7 months ago
• gatsby-sahani / gp-sde
  ☆14Updated 2 years ago
• erichson / koopmanAE
  Consistent Koopman Autoencoders
  ☆74Updated 2 years ago
• biomathlab / PDElearning
  Code repository for the paper "Learning partial differential equations for biological transport models from noisy spatiotemporal data"
  ☆10Updated 6 years ago
• baddoo / LANDO
  Codes for Linear and Nonlinear Disambiguation Optimization (LANDO)
  ☆29Updated 3 years ago
• niallmm / iSINDy
  implicit-SINDy code example from paper "Inferring Biological Networks by Sparse Identification fo Nonlinear Dynamics" http://ieeexplore.i…
  ☆30Updated 7 years ago
• BethanyL / DeepKoopman
  neural networks to learn Koopman eigenfunctions
  ☆422Updated last year
• MatthieuDarcy / KernelFlows
  ☆12Updated 2 years ago
• panweihit / BSID
  Bayesian System IDentification
  ☆28Updated 7 years ago
• mbudisic / koopman
  Koopman Mode Decomposition
  ☆71Updated 7 years ago
• ae-foster / pyro
  Deep universal probabilistic programming with Python and PyTorch
  ☆12Updated 5 years ago
• PredictiveIntelligenceLab / BayesianDifferentiableProgramming
  ☆21Updated 4 years ago
• sethhirsh / BayesianSindy
  ☆14Updated 3 years ago
• sklus / d3s
  Data-driven dynamical systems toolbox.
  ☆74Updated 2 months ago
• BruntonUWBio / STIMD
  ☆11Updated 7 years ago
• josephbakarji / deep-delay-autoencoder
  Discovers high dimensional models from 1D data using deep delay autoencoders
  ☆34Updated 2 years ago
• katiana22 / GDM-PCE
  Source code of: "Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models".
  ☆37Updated 3 years ago
• pmorenoz / HetMOGP
  Heterogeneous Multi-output Gaussian Processes
  ☆52Updated 5 years ago
• RogerFrigola / VGPSSM
  Variational Gaussian Process State-Space Models
  ☆24Updated 9 years ago
• thangbui / sparseGP_powerEP
  Unifying sparse approximations for Gaussian process regression and classification, using Power EP
  ☆22Updated 8 years ago