Xiao-dong-Wang / Multifidelity-GPLinks
Multi-fidelity Gaussian Process
☆29Updated 4 years ago
Alternatives and similar repositories for Multifidelity-GP
Users that are interested in Multifidelity-GP are comparing it to the libraries listed below
Sorting:
- ☆40Updated 2 years ago
- ☆43Updated 2 years ago
- Multi-fidelity regression with neural networks☆16Updated 2 months ago
- Multi-fidelity Bayesian Optimization via Deep Neural Nets☆34Updated 5 years ago
- ☆63Updated 6 years ago
- Multi-fidelity modeling using Gaussian processes and nonlinear auto-regressive schemes.☆70Updated 9 years ago
- Tools to construct surrogate models based on Hermitian polynomial bases. Includes full-factorial and sparse polynomial chaos expansions v…☆10Updated 7 years ago
- multi-fidelity neural network☆21Updated 2 years ago
- Pytorch implementation of Bayesian physics-informed neural networks☆68Updated 4 years ago
- Multi-fidelity reduced-order surrogate modeling☆28Updated 6 months ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆50Updated 5 years ago
- Multi-fidelity probability machine learning☆20Updated last month
- Physcial Informed Extreme Learning Machine(PIELM) method to solve PDEs, such as Possion problem☆16Updated last year
- Python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks. Please cite this work as "A D Jagtap, K Kawa…☆43Updated 2 years ago
- ☆14Updated 3 years ago
- PECANNs: Physics and Equality Constrained Artificial Neural Networks☆24Updated 2 years ago
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.☆27Updated 4 years ago
- an active-learning method for reliability analysis based on multi-fidelity kriging model☆42Updated 2 years ago
- Multifidelity Kriging, Efficient Global Optimization☆19Updated 7 years ago
- Bayesian deep convolutional encoder-decoder networks for surrogate modeling and uncertainty quantification☆107Updated 5 years ago
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆93Updated 2 years ago
- Boosting the training of physics informed neural networks with transfer learning☆27Updated 4 years ago
- Data-guided physics-informed neural networks☆15Updated last year
- This repository comprises Jupyter Notebooks that serve as supplementary material to the journal article titled "Review of Multifidelity M…☆12Updated 2 years ago
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆38Updated 2 years ago
- Research/development of physics-informed neural networks for dynamic systems☆32Updated last year
- Source code for POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decom…☆35Updated 2 years ago
- A MATLAB implementation of the co-kriging process using the DACE toolbox☆41Updated 8 years ago
- ☆12Updated 3 weeks ago
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆28Updated 2 years ago