fsahli / MFclassLinks
Multi-fidelity classification with Gaussian process
☆17Updated 2 years ago
Alternatives and similar repositories for MFclass
Users that are interested in MFclass are comparing it to the libraries listed below
Sorting:
- Multi-fidelity reduced-order surrogate modeling☆24Updated 2 months ago
- Multi-fidelity modeling using Gaussian processes and nonlinear auto-regressive schemes.☆66Updated 8 years ago
- ☆37Updated last year
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆20Updated 2 years ago
- ☆63Updated 6 years ago
- Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of n…☆35Updated 2 years ago
- Source code for POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decom…☆32Updated last year
- ☆41Updated 2 years ago
- Sparse Physics-based and Interpretable Neural Networks☆51Updated 3 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆49Updated 5 years ago
- Sparse Identification of Nonlinear Dynamics for Boundary Value Problems☆13Updated 4 years ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 5 years ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆24Updated 2 years ago
- XPINN code written in TensorFlow 2☆28Updated 2 years ago
- Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics☆63Updated 3 years ago
- Multi-fidelity Bayesian Optimization via Deep Neural Nets☆32Updated 4 years ago
- Proper Orthogonal Decomposition - Radial Basis Function (POD-RBF) Network☆68Updated last year
- Discontinuity Computing Using Physics-Informed Neural Network☆24Updated last year
- POD-PINN code and manuscript☆52Updated 9 months ago
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆32Updated 3 years ago
- Multifidelity Kriging, Efficient Global Optimization☆18Updated 6 years ago
- ☆21Updated 4 years ago
- Source code for deep learning-based reduced order models for nonlinear time-dependent parametrized PDEs. Available on doi.org/10.1007/s10…☆25Updated last year
- This repository contains the files used in the paper " Reduced-order Model for Fluid Flows via Neural Ordinary Differential Equations"☆19Updated 2 years ago
- Dimensionless learning codes for our paper called "Data-driven discovery of dimensionless numbers and governing laws from scarce measurem…☆39Updated last year
- Physics-Informed Neural Networks for solving PDEs (bachelor project)☆10Updated 2 years ago
- Rheology-informed Machine Learning Projects☆21Updated last year
- This repository contains the simple source codes of "Machine-learning-based reduced-order modeling for unsteady flows around bluff bodies…☆16Updated 4 years ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆73Updated 2 years ago
- Soving heat transfer problems using PINN with tf2.0☆19Updated 4 years ago