Alternatives and similar repositories for UQpy:

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

• PredictiveScienceLab / uq-course
  Introduction to Uncertainty Quantification
  ☆245Updated 3 years ago
• jonathf / chaospy
  Chaospy - Toolbox for performing uncertainty quantification.
  ☆455Updated 3 weeks ago
• pygpc-polynomial-chaos / pygpc
  A Sensitivity and uncertainty analysis toolbox for Python based on the generalized polynomial chaos method
  ☆80Updated last week
• simetenn / uncertainpy
  Uncertainpy: a Python toolbox for uncertainty quantification and sensitivity analysis, tailored towards computational neuroscience.
  ☆229Updated 2 years ago
• Crunch-UQ4MI / neuraluq
  ☆170Updated last year
• zwicker-group / py-pde
  Python package for solving partial differential equations using finite differences.
  ☆433Updated this week
• SMTorg / smt
  Surrogate Modeling Toolbox
  ☆747Updated this week
• openturns / openturns
  Uncertainty treatment library
  ☆254Updated last week
• pymor / pymor
  pyMOR - Model Order Reduction with Python
  ☆316Updated this week
• ehsanhaghighat / sciann
  Deep learning for Engineers - Physics Informed Deep Learning
  ☆334Updated last year
• cdslaborg / paramonte
  ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.
  ☆285Updated 3 months ago
• sandialabs / pyapprox
  Flexible and efficient tools for high-dimensional approximation, scientific machine learning and uncertainty quantification.
  ☆56Updated this week
• maziarraissi / HPM
  Hidden physics models: Machine learning of nonlinear partial differential equations
  ☆143Updated 5 years ago
• PredictiveScienceLab / data-analytics-se
  ME 539 - Introduction to Scientific Machine Learning
  ☆116Updated 7 months ago
• Photon-AI-Research / NeuralSolvers
  Neural network based solvers for partial differential equations and inverse problems . Implementation of physics-informed neural networks…
  ☆146Updated 2 months ago
• dynamicslab / pysensors
  PySensors is a Python package for sparse sensor placement
  ☆88Updated 2 weeks ago
• PredictiveIntelligenceLab / USNCCM15-Short-Course-Recent-Advances-in-Physics-Informed-Deep-Learning
  ☆116Updated 5 years ago
• CUQI-DTU / CUQIpy
  ☆48Updated this week
• cossan-working-group / OpenCossan
  OpenCossan is an open and free toolbox for uncertainty quantification and management.
  ☆51Updated last year
• sandialabs / UQTk
  Sandia Uncertainty Quantification Toolkit
  ☆79Updated 3 months ago
• equadratures / equadratures
  ☆99Updated last year
• UCL-CCS / EasyVVUQ
  Python 3 framework to facilitate verification, validation and uncertainty quantification (VVUQ) for a wide variety of simulations.
  ☆92Updated this week
• QMCSoftware / QMCSoftware
  ☆66Updated this week
• paulcon / active_subspaces
  Python Active-subspaces Utility Library
  ☆70Updated 4 years ago
• sahilm89 / lhsmdu
  This is an implementation of Deutsch and Deutsch, "Latin hypercube sampling with multidimensional uniformity", Journal of Statistical Pla…
  ☆81Updated 4 years ago
• ICB-DCM / pyPESTO
  python Parameter EStimation TOolbox
  ☆238Updated last week
• mathLab / EZyRB
  Easy Reduced Basis method
  ☆84Updated 3 weeks ago
• pints-team / pints
  Probabilistic Inference on Noisy Time Series
  ☆234Updated last month
• prmiles / pymcmcstat
  Python implementation of MATLAB toolbox "mcmcstat"
  ☆70Updated 2 years ago
• mdolab / pyoptsparse
  pyOptSparse is an object-oriented framework for formulating and solving nonlinear constrained optimization problems in an efficient, reus…
  ☆238Updated this week