Alternatives and similar repositories for pygpc:

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

• cossan-working-group / OpenCossan
  OpenCossan is an open and free toolbox for uncertainty quantification and management.
  ☆51Updated last year
• maziarraissi / NumericalGP
  Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations
  ☆67Updated 4 years ago
• katiana22 / GDM-PCE
  Source code of: "Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models".
  ☆37Updated 2 years ago
• maziarraissi / TutorialGP
  Tutorial on Gaussian Processes
  ☆62Updated 5 years ago
• erichson / DMDpack
  Dynamic Mode Decomposition
  ☆58Updated 7 years ago
• pehersto / mfmc
  Multi Fidelity Monte Carlo
  ☆25Updated 5 years ago
• giaccone / pce
  Polynomial Chaos Expansion
  ☆10Updated last year
• duqbo / optdmd
  A MATLAB package for computing the optimized dynamic mode decomposition (DMD)
  ☆18Updated 6 years ago
• Ohjeah / sparsereg
  a collection of modern sparse (regularized) linear regression algorithms.
  ☆61Updated 4 years ago
• maziarraissi / MultistepNNs
  Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems
  ☆63Updated 5 years ago
• elizqian / mfgsa
  multifidelity global sensitivity analysis
  ☆16Updated 2 years ago
• fernexda / cnm
  ☆18Updated 4 years ago
• paulcon / active_subspaces
  Python Active-subspaces Utility Library
  ☆70Updated 4 years ago
• luckystarufo / pySINDy
  SINDy (Sparse Identification of Nonlinear Dynamics) algorithms
  ☆74Updated 2 years ago
• PredictiveIntelligenceLab / BayesianDifferentiableProgramming
  ☆21Updated 4 years ago
• simetenn / uncertainpy
  Uncertainpy: a Python toolbox for uncertainty quantification and sensitivity analysis, tailored towards computational neuroscience.
  ☆229Updated 2 years ago
• loiseaujc / SINDy
  ☆41Updated 7 years ago
• Adolphus8 / Transitional_Ensemble_MCMC
  Repository to tutorials on the implementation of the Transitional Ensemble Markov Chain Monte Carlo (TEMCMC) sampler for Bayesian Model U…
  ☆17Updated 2 years ago
• mbudisic / koopman
  Koopman Mode Decomposition
  ☆71Updated 7 years ago
• mathLab / ATHENA
  ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis
  ☆51Updated last year
• sandialabs / pyapprox
  Flexible and efficient tools for high-dimensional approximation, scientific machine learning and uncertainty quantification.
  ☆56Updated this week
• zhbai / cDMDc
  Compressive dynamic mode decomposition with control for compressive system identification
  ☆39Updated 7 years ago
• cwrowley / dmdtools
  A library of tools for computing variants of Dynamic Mode Decomposition
  ☆46Updated 7 years ago
• dynamicslab / pysensors
  PySensors is a Python package for sparse sensor placement
  ☆88Updated 2 weeks ago
• CraigGin / PDEKoopman2
  Update PDEKoopman code to Tensorflow 2
  ☆23Updated 3 years ago
• pswpswpsw / SKDMD
  Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems
  ☆28Updated 2 years ago
• Willcox-Research-Group / rom-operator-inference-Python3
  Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.
  ☆72Updated 2 weeks ago
• VandyChris / Global-Sensitivity-Analysis
  Python and Matlab codes to compute the Sobol' indices
  ☆20Updated 8 years ago
• SURGroup / UQpy
  UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical s…
  ☆290Updated this week
• paraklas / NARGP
  Multi-fidelity modeling using Gaussian processes and nonlinear auto-regressive schemes.
  ☆62Updated 8 years ago