KTH-Nek5000 / BO_GP
Bayesian optimization based on Gaussian processes
☆11Updated 2 years ago
Alternatives and similar repositories for BO_GP:
Users that are interested in BO_GP are comparing it to the libraries listed below
- This repository contains the simple source codes of "Machine-learning-based reduced-order modeling for unsteady flows around bluff bodies…☆15Updated 3 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
- Frame-independent vector-cloud neural network for nonlocal constitutive modelling on arbitrary grids.☆11Updated 3 years ago
- Sample codes of CNN-SINDy based reduced-order modeling for fluid flows by Fukami et al., JFM 2021.☆25Updated 3 years ago
- Supporting code for "Reduced-order modeling of advection-dominated systems with recurrent neural networks and convolutional autoencoders"☆21Updated 4 years ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆24Updated last year
- Source code for the paper "Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process" …☆30Updated 2 years ago
- Python code to calculate proper orthogonal decomposition modes (aka principal components), which are then used to generate reduced order …☆35Updated 9 years ago
- CFD-DeepLearning-UNET☆14Updated 3 years ago
- Source code for POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decom…☆30Updated last year
- I am doing a surrogate optimization of a transonic airfoil. I am using an artificial neural network as my surrogate model to approximate …☆8Updated 4 years ago
- The lid-driven cavity is a popular problem within the field of computational fluid dynamics (CFD) for validating computational methods. I…☆14Updated 3 years ago
- Non-intrusive reduced order models using proper orthogonal decomposition (POD) and radial basis function (RBF) interpolation for shallow …☆18Updated 3 years ago
- Predicting 2D Steady State Fluid Flow Fields using Convolutional Neural Networks☆10Updated 4 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
- ☆37Updated 2 years ago
- code for active flow control of flow around cynder using Deep Reinforcement Learning☆46Updated 3 years ago
- OpenFOAM examples for data-driven ML and ROM☆16Updated last year
- Multi-fidelity reduced-order surrogate modeling☆21Updated 4 months ago
- This is the source code for our paper "Towards high-accuracy deep learning inference of compressible turbulent flows over aerofoils"☆29Updated last year
- An interfacing library to deploy machine-learning models in CFD codes easily☆31Updated 3 months ago
- One-dimensional unsteady compressible reacting flow simulation framework, designed for simple prototyping and testing of novel reduced-or…☆28Updated last year
- OpenFOAM simulations of transonic shock buffets at a NACA-0012 airfoil☆26Updated last year
- Numerical tool for Construction of Reduced-order models for fluid flows.☆30Updated 4 years ago
- Physics-Informed Neural Networks for solving PDEs (bachelor project)☆10Updated 2 years ago
- Python scripts to run resolution of the Reynolds-Averaged-Navier-Stokes equations over NACA 4 and 5 digits airfoils.☆22Updated 3 months ago
- Python tools for non-intrusive reduced order modeling☆19Updated 3 weeks ago
- Deep learning framework for model reduction of dynamical systems☆21Updated 4 years ago
- Theory-guided physics-informed neural networks for boundary layer problems with singular perturbation☆17Updated 2 years ago
- Deep reinforcement learning with OpenFOAM☆41Updated last year