Source code of: "Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models".
☆38Jun 14, 2022Updated 3 years ago
Alternatives and similar repositories for GDM-PCE
Users that are interested in GDM-PCE are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Tools to construct surrogate models based on Hermitian polynomial bases. Includes full-factorial and sparse polynomial chaos expansions v…☆10Nov 8, 2018Updated 7 years ago
- Codes related to our paper "Sparse Polynomial Chaos Expansions via D-optimal Designs and Compressed Sensing." https://www.sciencedirect.…☆20Jun 14, 2019Updated 6 years ago
- Randomized Greedy Polynomial Chaos Expansions☆11May 11, 2019Updated 7 years ago
- A Sensitivity and uncertainty analysis toolbox for Python based on the generalized polynomial chaos method☆85Dec 3, 2025Updated 5 months ago
- Subset simulation is a method of estimating low probability events. Here I adapt SS to perform well with correlated inputs.☆11Jan 9, 2019Updated 7 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Source codes for Probability-Adaptive Kriging in n-Ball (PAK-Bn) (Kim & Song, 2020)☆11Apr 6, 2025Updated last year
- ☆14Mar 3, 2022Updated 4 years ago
- ☆26Aug 19, 2025Updated 9 months ago
- ☆11Aug 3, 2022Updated 3 years ago
- Final project of Convex Optimization II to solve AC Optimal Power Flow with convex relaxations☆35Dec 27, 2021Updated 4 years ago
- A library implementing the kernels for and experiments using extrinsic gauge equivariant vector field Gaussian Processes☆26Oct 28, 2021Updated 4 years ago
- ☆12Oct 15, 2023Updated 2 years ago
- UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical s…☆354Apr 7, 2026Updated last month
- ☆13May 31, 2023Updated 2 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Code for computing Hypergraph Co-Optimal Transport distances☆17Jan 19, 2023Updated 3 years ago
- A framework for solving reliability analysis (aka design uncertainty quantification) and reliability-based robust design optimization (ak…☆14Feb 13, 2024Updated 2 years ago
- Code for the paper "Unlocking Slot Attention by Changing Optimal Transport Costs"☆13Sep 19, 2023Updated 2 years ago
- Matlab codes for Arbitrary Polynomial Chaos Expansion☆15May 18, 2020Updated 6 years ago
- Time-series modeling project that predicts the future number of electric vehicles in Washington state counties to identify locations with…☆17Jul 30, 2021Updated 4 years ago
- Code for "Theoretical Foundations of Deep Selective State-Space Models" (NeurIPS 2024)☆16Jan 7, 2025Updated last year
- Code to produce demos of Metroplis-Hastings and Hamiltonian Monte Carlo samplers.☆36Mar 27, 2014Updated 12 years ago
- Code for blog post on Bayesian inference in PyStan☆20Apr 12, 2021Updated 5 years ago
- ☆40Sep 11, 2023Updated 2 years ago
- 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.
- DEFT-FUNNEL: An open-source global optimization solver for constrained grey-box and black-box problems in Matlab.☆11Jun 29, 2021Updated 4 years ago
- Bayesian optimization and active learning with likelihood-weighted acquisition functions☆15Jun 17, 2024Updated last year
- A basic implementation of the paper Eigengame : PCA as a Nash Equilibrium☆21Jun 7, 2021Updated 4 years ago
- Core of System of Systems☆12May 9, 2026Updated last week
- Uncertainty Quantification using Polynomial Chaos Expansion (UQPCE) is an open-source, python-based research code for use in parametric, …☆61May 4, 2026Updated 2 weeks ago
- ☆10Oct 11, 2022Updated 3 years ago
- Official Implementation of "Graph Neural Network-Inspired Kernels for Gaussian Processes in Semi-Supervised Learning"☆18Feb 11, 2023Updated 3 years ago
- ☆17Mar 16, 2022Updated 4 years ago
- Conic relaxations of the optimal power flow problem☆25May 2, 2022Updated 4 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Code to reproduce experiments in Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing Flows☆14May 23, 2024Updated last year
- This repository contains the files used in the paper " Reduced-order Model for Fluid Flows via Neural Ordinary Differential Equations"☆20Mar 23, 2023Updated 3 years ago
- Store collections of experimental data based on TileDB☆11Updated this week
- The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-…☆20Sep 14, 2022Updated 3 years ago
- Code for Dataset and Benchmarks Submission, Neurips 2022☆13Aug 16, 2022Updated 3 years ago
- [ICLR 2022] "Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How" by Yuning You, Yue Cao, Tianl…☆14Aug 19, 2022Updated 3 years ago
- ☆18Jun 26, 2023Updated 2 years ago