SURGroup / UQpyLinks
UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.
☆323Updated last week
Alternatives and similar repositories for UQpy
Users that are interested in UQpy are comparing it to the libraries listed below
Sorting:
- Introduction to Uncertainty Quantification☆253Updated 3 years ago
- ME 539 - Introduction to Scientific Machine Learning☆122Updated last month
- Python package for solving partial differential equations using finite differences.☆444Updated 3 weeks ago
- ☆187Updated 4 months ago
- Chaospy - Toolbox for performing uncertainty quantification.☆466Updated this week
- Surrogate Modeling Toolbox☆799Updated this week
- Flexible and efficient tools for high-dimensional approximation, scientific machine learning and uncertainty quantification.☆65Updated last week
- Uncertainpy: a Python toolbox for uncertainty quantification and sensitivity analysis, tailored towards computational neuroscience.☆228Updated 2 years ago
- mathLab mirror of Python Dynamic Mode Decomposition☆102Updated 5 months ago
- pyMOR - Model Order Reduction with Python☆325Updated this week
- A Sensitivity and uncertainty analysis toolbox for Python based on the generalized polynomial chaos method☆81Updated last month
- PySensors is a Python package for sparse sensor placement☆92Updated last week
- Probabilistic modelling and uncertainty quantification library☆277Updated last month
- Multi-fidelity modeling using Gaussian processes and nonlinear auto-regressive schemes.☆66Updated 8 years ago
- Python Active-subspaces Utility Library☆74Updated 5 years ago
- Hidden physics models: Machine learning of nonlinear partial differential equations☆146Updated 5 years ago
- ☆46Updated 3 years ago
- OpenCossan is an open and free toolbox for uncertainty quantification and management.☆55Updated 2 years ago
- Easy Reduced Basis method☆86Updated last month
- Sandia Uncertainty Quantification Toolkit☆82Updated 8 months ago
- ☆257Updated 2 years ago
- Python 3 framework to facilitate verification, validation and uncertainty quantification (VVUQ) for a wide variety of simulations.☆97Updated 2 weeks ago
- pyOptSparse is an object-oriented framework for formulating and solving nonlinear constrained optimization problems in an efficient, reus…☆247Updated this week
- Collection of Multi-Fidelity benchmark functions☆28Updated this week
- This is an implementation of Deutsch and Deutsch, "Latin hypercube sampling with multidimensional uniformity", Journal of Statistical Pla…☆82Updated 5 years ago
- Multi-Output Gaussian Process Toolkit☆176Updated 2 months ago
- ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis☆55Updated 2 years ago
- Deep learning for Engineers - Physics Informed Deep Learning☆348Updated last year
- A Bayesian optimization toolbox built on TensorFlow☆239Updated last week
- MATLAB codes for physics-informed dynamic mode decomposition (piDMD)☆157Updated last year