Alternatives and similar repositories for UQpy:

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

• jonathf / chaospy
  Chaospy - Toolbox for performing uncertainty quantification.
  ☆458Updated last month
• simetenn / uncertainpy
  Uncertainpy: a Python toolbox for uncertainty quantification and sensitivity analysis, tailored towards computational neuroscience.
  ☆229Updated 2 years ago
• pygpc-polynomial-chaos / pygpc
  A Sensitivity and uncertainty analysis toolbox for Python based on the generalized polynomial chaos method
  ☆80Updated 2 weeks ago
• PredictiveScienceLab / data-analytics-se
  ME 539 - Introduction to Scientific Machine Learning
  ☆118Updated this week
• PredictiveScienceLab / uq-course
  Introduction to Uncertainty Quantification
  ☆247Updated 3 years ago
• Crunch-UQ4MI / neuraluq
  ☆177Updated 3 weeks ago
• zwicker-group / py-pde
  Python package for solving partial differential equations using finite differences.
  ☆434Updated 2 weeks ago
• pymor / pymor
  pyMOR - Model Order Reduction with Python
  ☆317Updated last week
• dynamicslab / pysensors
  PySensors is a Python package for sparse sensor placement
  ☆90Updated this week
• openturns / openturns
  Uncertainty treatment library
  ☆262Updated last week
• SMTorg / smt
  Surrogate Modeling Toolbox
  ☆751Updated 3 weeks ago
• UCL-CCS / EasyVVUQ
  Python 3 framework to facilitate verification, validation and uncertainty quantification (VVUQ) for a wide variety of simulations.
  ☆93Updated 3 weeks ago
• PredictiveIntelligenceLab / USNCCM15-Short-Course-Recent-Advances-in-Physics-Informed-Deep-Learning
  ☆116Updated 5 years ago
• mathLab / PyDMD
  mathLab mirror of Python Dynamic Mode Decomposition
  ☆87Updated last month
• luckystarufo / pySINDy
  SINDy (Sparse Identification of Nonlinear Dynamics) algorithms
  ☆74Updated 2 years ago
• sandialabs / pyapprox
  Flexible and efficient tools for high-dimensional approximation, scientific machine learning and uncertainty quantification.
  ☆57Updated this week
• baddoo / piDMD
  MATLAB codes for physics-informed dynamic mode decomposition (piDMD)
  ☆142Updated last year
• rezaakb / pinns-tf2
  PINNs-TF2, Physics-informed Neural Networks (PINNs) implemented in TensorFlow V2.
  ☆113Updated 11 months ago
• maziarraissi / HPM
  Hidden physics models: Machine learning of nonlinear partial differential equations
  ☆145Updated 5 years ago
• mathLab / PINA
  Physics-Informed Neural networks for Advanced modeling
  ☆481Updated this week
• Photon-AI-Research / NeuralSolvers
  Neural network based solvers for partial differential equations and inverse problems . Implementation of physics-informed neural networks…
  ☆149Updated 3 months ago
• ehsanhaghighat / sciann
  Deep learning for Engineers - Physics Informed Deep Learning
  ☆336Updated last year
• mathLab / EZyRB
  Easy Reduced Basis method
  ☆84Updated last month
• CUQI-DTU / CUQIpy
  ☆48Updated 2 weeks ago
• paulcon / active_subspaces
  Python Active-subspaces Utility Library
  ☆71Updated 4 years ago
• maziarraissi / NumericalGP
  Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations
  ☆67Updated 4 years ago
• PyDMD / PyDMD
  Python Dynamic Mode Decomposition
  ☆978Updated 3 weeks ago
• cossan-working-group / OpenCossan
  OpenCossan is an open and free toolbox for uncertainty quantification and management.
  ☆52Updated last year
• snagcliffs / PDE-FIND
  ☆249Updated 2 years ago
• mdolab / pyoptsparse
  pyOptSparse is an object-oriented framework for formulating and solving nonlinear constrained optimization problems in an efficient, reus…
  ☆243Updated this week