pierremtb / POD-UQNNLinks
Uncertainty Quantification in the POD-NN framework
☆22Updated 4 years ago
Alternatives and similar repositories for POD-UQNN
Users that are interested in POD-UQNN are comparing it to the libraries listed below
Sorting:
- ☆13Updated last week
- DAFI: Ensemble based data assimilation and field inversion, repository for internal development☆60Updated last year
- Python tools for non-intrusive reduced order modeling☆19Updated 2 months ago
- Data-driven Identification of 2D Partial Differential Equations using Extracted Physical Features☆11Updated 4 years ago
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆20Updated 2 years ago
- One-dimensional DNS and LES of Burgers turbulence written in Python☆29Updated last year
- Supporting code for "Reduced-order modeling of advection-dominated systems with recurrent neural networks and convolutional autoencoders"☆21Updated 4 years ago
- Implementation of Shallow Water Equations (works with Python 3.5 and Python 2.7)☆9Updated 2 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆49Updated 4 years ago
- This repository contains the simple source codes of "Convolutional neural network and long short-term memory based reduced order surrogat…☆13Updated 4 years ago
- Dimension reduced surrogate construction for parametric PDE maps☆37Updated 2 months ago
- Course notes for a course based on R.J. LeVeque's "Finite Volume Methods for Hyperbolic Problems"☆22Updated 3 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
- ☆37Updated 11 months ago
- ☆13Updated 4 years ago
- Physics informed neural network for learning seepage flow models☆17Updated 2 years ago
- ☆24Updated 7 years ago
- Non-intrusive reduced order models using proper orthogonal decomposition (POD) and radial basis function (RBF) interpolation for shallow …☆19Updated 4 years ago
- Physics-Informed Neural Networks for solving PDEs (bachelor project)☆10Updated 2 years ago
- This repository contains the files used in the paper " Reduced-order Model for Fluid Flows via Neural Ordinary Differential Equations"☆19Updated 2 years ago
- This repository contains codes related to our work on physics-guided machine learning.☆15Updated 3 years ago
- ☆21Updated 4 years ago
- ☆13Updated 3 years ago
- ☆13Updated 5 years ago
- Conservative discretizations for the Saint Venant (shallow water) equations☆32Updated 6 years ago
- Source code for the paper "Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process" …☆32Updated 2 years ago
- ☆63Updated 5 years ago
- Source code for "Probabilistic neural networks for fluid flow model-order reduction and data recovery"☆10Updated 4 years ago
- ☆35Updated this week
- pyPCGA: fast and scalable inverse modeling approach☆24Updated 6 months ago