XuhuiM / Multi-Fidelity-DNNs-PINNsView external linksLinks
☆40Sep 11, 2023Updated 2 years ago
Alternatives and similar repositories for Multi-Fidelity-DNNs-PINNs
Users that are interested in Multi-Fidelity-DNNs-PINNs are comparing it to the libraries listed below
Sorting:
- ☆43May 10, 2023Updated 2 years ago
- Multi-fidelity Gaussian Process☆29Jan 10, 2021Updated 5 years ago
- Multi-fidelity regression with neural networks☆16Oct 29, 2025Updated 3 months ago
- A Multi-objective Multi-fidelity acquisition function for Bayesian optimization based on EHVI method.☆14May 18, 2022Updated 3 years ago
- Multi-fidelity Bayesian Optimization via Deep Neural Nets☆35Dec 27, 2020Updated 5 years ago
- Collection of Multi-Fidelity benchmark functions☆29Aug 29, 2025Updated 5 months ago
- Multi-fidelity modeling using Gaussian processes and nonlinear auto-regressive schemes.☆71Dec 28, 2016Updated 9 years ago
- multi-fidelity neural network☆22Jul 18, 2023Updated 2 years ago
- POD-PINN code and manuscript☆57Nov 10, 2024Updated last year
- scalable multi-fidelity machine learning☆10Jul 16, 2021Updated 4 years ago
- Implementation of physics-informed PointNet (PIPN) for weakly-supervised learning of incompressible flows and thermal fields on irregular…☆14Jun 27, 2025Updated 7 months ago
- Multi-fidelity probability machine learning☆22Nov 3, 2025Updated 3 months ago
- Examplary code for NN, MFNN, DynNet, PINNs and CNN☆51Sep 12, 2021Updated 4 years ago
- Demo code for PPINN paper: https://www.sciencedirect.com/science/article/pii/S0045782520304357☆10Oct 23, 2020Updated 5 years ago
- Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of n…☆39Jul 12, 2023Updated 2 years ago
- Use SINDY algorithm to discover a dynamical system from coronavirus data☆13Apr 9, 2024Updated last year
- Multi-fidelity Generative Deep Learning Turbulent Flows☆37Jan 13, 2021Updated 5 years ago
- ☆15Jun 13, 2023Updated 2 years ago
- Bayesian optimization and active learning with likelihood-weighted acquisition functions☆15Jun 17, 2024Updated last year
- Multi-fidelity classification with Gaussian process☆18Jul 18, 2023Updated 2 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆50Jul 23, 2020Updated 5 years ago
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆21Mar 25, 2023Updated 2 years ago
- ☆15Sep 27, 2024Updated last year
- KTH-FlowAI / Towards-extraction-of-orthogonal-and-parsimonious-non-linear-modes-from-turbulent-flows☆11Apr 5, 2023Updated 2 years ago
- Repository for sharing code and data assocaited with En-DeepONet architecture☆35Jan 15, 2024Updated 2 years ago
- ☆63Jul 24, 2019Updated 6 years ago
- Leaning Proper Orthogonal Decomposition coefficients using Deep Neural Networks.☆10Dec 4, 2019Updated 6 years ago
- The repository contains implementations of examples provided in the literature on energy minimization based approach to Physics Informed …☆11Apr 8, 2020Updated 5 years ago
- ☆45May 18, 2022Updated 3 years ago
- 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
- ☆10Mar 18, 2023Updated 2 years ago
- ☆10Mar 31, 2021Updated 4 years ago
- A MATLAB implementation of the co-kriging process using the DACE toolbox☆42Apr 28, 2017Updated 8 years ago
- ☆200Apr 3, 2025Updated 10 months ago
- Multi-Information Source Optimization☆24May 15, 2019Updated 6 years ago
- ☆15Nov 20, 2023Updated 2 years ago
- Contains implementation of PINN using Tensorflow 2.4.0☆14Apr 28, 2023Updated 2 years ago
- Data-driven Identification of 2D Partial Differential Equations using Extracted Physical Features☆12Apr 23, 2021Updated 4 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