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
  ☆254Updated 3 years ago
• Crunch-UQ4MI / neuraluq
  ☆194Updated 6 months ago
• jonathf / chaospy
  Chaospy - Toolbox for performing uncertainty quantification.
  ☆466Updated last month
• sandialabs / pyapprox
  Flexible and efficient tools for high-dimensional approximation, scientific machine learning and uncertainty quantification.
  ☆65Updated this week
• simetenn / uncertainpy
  Uncertainpy: a Python toolbox for uncertainty quantification and sensitivity analysis, tailored towards computational neuroscience.
  ☆229Updated 3 years ago
• PredictiveScienceLab / data-analytics-se
  ME 539 - Introduction to Scientific Machine Learning
  ☆122Updated last month
• zwicker-group / py-pde
  Python package for solving partial differential equations using finite differences.
  ☆446Updated last week
• snagcliffs / PDE-FIND
  ☆264Updated 2 years ago
• pygpc-polynomial-chaos / pygpc
  A Sensitivity and uncertainty analysis toolbox for Python based on the generalized polynomial chaos method
  ☆81Updated this week
• dynamicslab / pysensors
  PySensors is a Python package for sparse sensor placement
  ☆105Updated this week
• pymor / pymor
  pyMOR - Model Order Reduction with Python
  ☆331Updated this week
• mathLab / PyDMD
  mathLab mirror of Python Dynamic Mode Decomposition
  ☆106Updated 7 months ago
• SMTorg / smt
  Surrogate Modeling Toolbox
  ☆819Updated 2 weeks ago
• paulcon / active_subspaces
  Python Active-subspaces Utility Library
  ☆75Updated 5 years ago
• analysiscenter / pydens
  PyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks
  ☆313Updated last year
• openturns / openturns
  Probabilistic modelling and uncertainty quantification library
  ☆286Updated this week
• maziarraissi / HPM
  Hidden physics models: Machine learning of nonlinear partial differential equations
  ☆147Updated 5 years ago
• luckystarufo / pySINDy
  SINDy (Sparse Identification of Nonlinear Dynamics) algorithms
  ☆79Updated 2 years ago
• mathLab / ATHENA
  ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis
  ☆55Updated 2 years ago
• paraklas / NARGP
  Multi-fidelity modeling using Gaussian processes and nonlinear auto-regressive schemes.
  ☆67Updated 8 years ago
• maroba / findiff
  Python package for numerical derivatives and partial differential equations in any number of dimensions.
  ☆484Updated last month
• Photon-AI-Research / NeuralSolvers
  Neural network based solvers for partial differential equations and inverse problems . Implementation of physics-informed neural networks…
  ☆157Updated 9 months ago
• PredictiveIntelligenceLab / USNCCM15-Short-Course-Recent-Advances-in-Physics-Informed-Deep-Learning
  ☆116Updated 6 years ago
• cossan-working-group / OpenCossan
  OpenCossan is an open and free toolbox for uncertainty quantification and management.
  ☆54Updated 2 years ago
• UCL-CCS / EasyVVUQ
  Python 3 framework to facilitate verification, validation and uncertainty quantification (VVUQ) for a wide variety of simulations.
  ☆97Updated 2 months ago
• PhIMaL / DeePyMoD
  ☆49Updated last year
• sandialabs / UQTk
  Sandia Uncertainty Quantification Toolkit
  ☆84Updated 10 months ago
• CUQI-DTU / CUQIpy
  ☆50Updated this week
• mathLab / EZyRB
  Easy Reduced Basis method
  ☆88Updated last month
• FuhgJan / StateOfTheArtAdaptiveSampling
  ☆48Updated 4 years ago