Alternatives and similar repositories for UQpy

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

• Crunch-UQ4MI / neuraluq
  ☆199Updated 9 months ago
• PredictiveScienceLab / uq-course
  Introduction to Uncertainty Quantification
  ☆257Updated 3 years ago
• jonathf / chaospy
  Chaospy - Toolbox for performing uncertainty quantification.
  ☆468Updated 4 months ago
• simetenn / uncertainpy
  Uncertainpy: a Python toolbox for uncertainty quantification and sensitivity analysis, tailored towards computational neuroscience.
  ☆231Updated 3 years ago
• sandialabs / pyapprox
  Flexible and efficient tools for high-dimensional approximation, scientific machine learning and uncertainty quantification.
  ☆68Updated last week
• zwicker-group / py-pde
  Python package for solving partial differential equations using finite differences.
  ☆453Updated this week
• SMTorg / smt
  Surrogate Modeling Toolbox
  ☆845Updated last week
• dynamicslab / pysensors
  PySensors is a Python package for sparse sensor placement
  ☆109Updated last week
• PredictiveScienceLab / data-analytics-se
  ME 539 - Introduction to Scientific Machine Learning
  ☆123Updated last month
• mathLab / PyDMD
  mathLab mirror of Python Dynamic Mode Decomposition
  ☆113Updated 10 months ago
• pygpc-polynomial-chaos / pygpc
  A Sensitivity and uncertainty analysis toolbox for Python based on the generalized polynomial chaos method
  ☆85Updated last month
• analysiscenter / pydens
  PyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks
  ☆312Updated last year
• UCL-CCS / EasyVVUQ
  Python 3 framework to facilitate verification, validation and uncertainty quantification (VVUQ) for a wide variety of simulations.
  ☆98Updated this week
• pymor / pymor
  pyMOR - Model Order Reduction with Python
  ☆338Updated last week
• maziarraissi / HPM
  Hidden physics models: Machine learning of nonlinear partial differential equations
  ☆149Updated 5 years ago
• PredictiveIntelligenceLab / USNCCM15-Short-Course-Recent-Advances-in-Physics-Informed-Deep-Learning
  ☆118Updated 6 years ago
• snagcliffs / PDE-FIND
  ☆274Updated 3 years ago
• jkneifl / VENI-VINDy-VICI
  An interpretable data-driven framework for building generative reduced order models with embedded uncertainty quantification
  ☆37Updated 10 months ago
• rohitkt10 / deep-uq-paper
  A repository that contains scripts to replicate results in the Deep UQ paper.
  ☆12Updated 7 years ago
• ehsanhaghighat / sciann
  Deep learning for Engineers - Physics Informed Deep Learning
  ☆361Updated 2 years ago
• openturns / openturns
  Probabilistic modelling and uncertainty quantification library
  ☆297Updated last week
• andreikitaitsev / SymINDy
  Symbolic Identification of Non-linear Dynamics. The method generalizes the SINDy algorithm by combining sparse and genetic-programming-ba…
  ☆84Updated 3 years ago
• dynamicslab / SINDy-PI
  SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamics
  ☆160Updated 4 years ago
• paulcon / active_subspaces
  Python Active-subspaces Utility Library
  ☆76Updated 5 years ago
• GAMES-UChile / mogptk
  Multi-Output Gaussian Process Toolkit
  ☆183Updated 7 months ago
• paraklas / NARGP
  Multi-fidelity modeling using Gaussian processes and nonlinear auto-regressive schemes.
  ☆70Updated 9 years ago
• luckystarufo / pySINDy
  SINDy (Sparse Identification of Nonlinear Dynamics) algorithms
  ☆79Updated 3 years ago
• NREL / phygnn
  physics-guided neural networks (phygnn)
  ☆102Updated 4 months ago
• baddoo / piDMD
  MATLAB codes for physics-informed dynamic mode decomposition (piDMD)
  ☆162Updated last year
• PhIMaL / DeePyMoD
  ☆50Updated 2 years ago