Introduction to Uncertainty Quantification
☆259Mar 30, 2022Updated 4 years ago
Alternatives and similar repositories for uq-course
Users that are interested in uq-course are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Uncertainpy: a Python toolbox for uncertainty quantification and sensitivity analysis, tailored towards computational neuroscience.☆233Sep 28, 2022Updated 3 years ago
- Chaospy - Toolbox for performing uncertainty quantification.☆480Sep 4, 2025Updated 11 months ago
- ME 697 - Advanced Scientific Machine Learning☆31Feb 3, 2026Updated 6 months ago
- A repository that contains scripts to replicate results in the Deep UQ paper.☆13Sep 13, 2018Updated 7 years ago
- UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical s…☆362Updated this week
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Multi Fidelity Monte Carlo☆25Feb 8, 2020Updated 6 years ago
- Karhunen-Loeve Expansions for Gaussian Random Fields in Python☆16Mar 24, 2014Updated 12 years ago
- ☆13Nov 20, 2019Updated 6 years ago
- A Sensitivity and uncertainty analysis toolbox for Python based on the generalized polynomial chaos method☆86Dec 3, 2025Updated 8 months ago
- Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization☆2,012Mar 5, 2025Updated last year
- Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertaint…☆642Aug 1, 2022Updated 4 years ago
- Onsager coefficients for interstitial and vacancy-mediated diffusion☆15Jan 31, 2025Updated last year
- Implementation and evaluation of different approaches to get uncertainty in neural networks☆141Feb 16, 2018Updated 8 years ago
- ☆63Jul 24, 2019Updated 7 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- ☆17Jul 7, 2026Updated last month
- time-variant reliability analysis method☆18Apr 9, 2020Updated 6 years ago
- Sandia Uncertainty Quantification Toolkit☆88Dec 21, 2024Updated last year
- Fast, matrix-free isogeometric Galerkin method for Karhunen-Loeve approximation of random fields.☆11Mar 22, 2021Updated 5 years ago
- A Python package for visualising 2D CFD datasets.☆63Sep 15, 2025Updated 11 months ago
- A simple Matlab-based plotter for models developed in OpenSees☆14Nov 19, 2019Updated 6 years ago
- MATLAB codes for "Computational Uncertainty Quantification for Inverse Problems," by Johnathan M. Bardsley☆34Mar 11, 2019Updated 7 years ago
- Multi-fidelity Generative Deep Learning Turbulent Flows☆37Jan 13, 2021Updated 5 years ago
- Dynamic mode decomposition with dependent structure among observables (Graph DMD)☆13Dec 17, 2019Updated 6 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- A Matlab/Octave toolbox for stochastic Galerkin methods☆23Jun 1, 2021Updated 5 years ago
- Development and evaluation of different approaches for fibre tracking of diffusion weighted MRI data.☆10May 9, 2022Updated 4 years ago
- Source codes for Probability-Adaptive Kriging in n-Ball (PAK-Bn) (Kim & Song, 2020)☆11Apr 6, 2025Updated last year
- A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, exper…☆673Updated this week
- OpenMC wrapped as a Moose App☆16May 1, 2023Updated 3 years ago
- Python/MATLAB/C++ codes for cubic equation of state.☆15Nov 28, 2022Updated 3 years ago
- ☆11Jul 1, 2021Updated 5 years ago
- ☆13May 10, 2020Updated 6 years ago
- Bayesian deep convolutional encoder-decoder networks for surrogate modeling and uncertainty quantification☆111Aug 4, 2020Updated 6 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Deep autoregressive neural networks for high-dimensional inverse problems☆20May 7, 2019Updated 7 years ago
- Sequential Monte Carlo working on top of pymc☆49Feb 21, 2019Updated 7 years ago
- Multi-fidelity Gaussian Process☆29Jan 10, 2021Updated 5 years ago
- RAVEN is a flexible and multi-purpose probabilistic risk analysis, validation and uncertainty quantification, parameter optimization, mod…☆265Aug 24, 2026Updated last week
- SMT: The Surrogate Modeling Toolbox☆907Aug 10, 2026Updated 3 weeks ago
- Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more☆1,969Oct 20, 2023Updated 2 years ago
- Batched High-dimensional Bayesian Optimization via Structural Kernel Learning☆15Dec 30, 2018Updated 7 years ago