Alternatives and similar repositories for pyapprox

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

• maziarraissi / NumericalGP
  Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations
  ☆69Updated 5 years ago
• sandialabs / UQTk
  Sandia Uncertainty Quantification Toolkit
  ☆84Updated 11 months ago
• UCL-CCS / EasyVVUQ
  Python 3 framework to facilitate verification, validation and uncertainty quantification (VVUQ) for a wide variety of simulations.
  ☆98Updated last month
• Willcox-Research-Group / rom-operator-inference-Python3
  Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.
  ☆75Updated last month
• paulcon / active_subspaces
  Python Active-subspaces Utility Library
  ☆76Updated 5 years ago
• hippylib / hippyflow
  Dimension reduced surrogate construction for parametric PDE maps
  ☆38Updated 3 months ago
• pygpc-polynomial-chaos / pygpc
  A Sensitivity and uncertainty analysis toolbox for Python based on the generalized polynomial chaos method
  ☆81Updated 2 weeks ago
• mathLab / ATHENA
  ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis
  ☆55Updated 2 years ago
• dynamicslab / modified-SINDy
  Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…
  ☆59Updated 3 years ago
• wedeling / EasySurrogate
  The VECMA toolkit for creating surrogate models of multiscale systems.
  ☆20Updated 10 months ago
• lanl / SEPIA
  Simulation-Enabled Prediction, Inference, and Analysis: physics-informed statistical learning.
  ☆35Updated 2 years ago
• SURGroup / UQpy
  UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical s…
  ☆337Updated this week
• CUQI-DTU / CUQIpy
  ☆51Updated this week
• maziarraissi / HPM
  Hidden physics models: Machine learning of nonlinear partial differential equations
  ☆147Updated 5 years ago
• caidao22 / pnode
  A Python library for training neural ODEs.
  ☆25Updated 9 months ago
• yifanc96 / GaussianProcessPDEs
  An integrated demo: Gaussian processes for PDEs and inverse problems
  ☆16Updated 4 months ago
• pswpswpsw / nif
  A library for dimensionality reduction on spatial-temporal PDE
  ☆70Updated last year
• ASEM000 / Physics-informed-neural-network-in-JAX
  Example problems in Physics informed neural network in JAX
  ☆82Updated 2 years ago
• LLNL / LaSDI
  ☆54Updated 2 years ago
• PredictiveScienceLab / data-analytics-se
  ME 539 - Introduction to Scientific Machine Learning
  ☆122Updated 2 weeks ago
• MagriLab / KolSol
  Pseudospectral Kolmogorov Flow Solver
  ☆41Updated 2 years ago
• pehersto / mfmc
  Multi Fidelity Monte Carlo
  ☆24Updated 5 years ago
• dynamicslab / pysensors
  PySensors is a Python package for sparse sensor placement
  ☆106Updated last month
• CraigGin / PDEKoopman2
  Update PDEKoopman code to Tensorflow 2
  ☆23Updated 4 years ago
• PhIMaL / DeePyMoD
  ☆49Updated 2 years ago
• Crunch-UQ4MI / neuraluq
  ☆197Updated 7 months ago
• maziarraissi / TutorialGP
  Tutorial on Gaussian Processes
  ☆63Updated 5 years ago
• yifanc96 / NonLinPDEs-GPsolver
  Code for the paper: Solving and Learning Nonlinear PDEs with Gaussian Processes
  ☆40Updated 4 months ago
• mingdeyu / DGP
  Python package 'dgpsi' for deep and linked Gaussian process emulations
  ☆28Updated last week
• dynamicslab / langevin-regression
  Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton
  ☆26Updated 3 years ago