FrancescoRegazzoni / model-learningLinks
☆13Updated 3 years ago
Alternatives and similar repositories for model-learning
Users that are interested in model-learning are comparing it to the libraries listed below
Sorting:
- Source code for deep learning-based reduced order models in cardiac electrophysiology. Available on doi.org/10.1371/journal.pone.0239416.☆15Updated last year
- Generative Adversarial Networks are used to super resolve turbulent flow fields from low resolution (RANS/LES) fields to high resolution …☆23Updated 4 years ago
- Nonlinear proper orthogonal decomposition for convection-dominated flows☆13Updated 3 years ago
- Source code for the paper "Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process" …☆31Updated 2 years ago
- Repository to reproduce the experiments in the paper "Deep learning observables in computational fluid dynamics"☆13Updated 5 years ago
- 1D RANS model simulation at fully developed turbulent channel flow.☆17Updated 8 years ago
- Tensor Basis Neural Network for Scalar Mixing☆10Updated 2 years ago
- ☆24Updated 6 years ago
- Deep Learning of Turbulent Scalar Mixing☆17Updated 5 years ago
- Numerical tool for Construction of Reduced-order models for fluid flows.☆30Updated 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…☆24Updated last year
- Update PDEKoopman code to Tensorflow 2☆23Updated 4 years ago
- LES-ML closures for Kraichnan turbulence☆18Updated 5 years ago
- One-dimensional unsteady compressible reacting flow simulation framework, designed for simple prototyping and testing of novel reduced-or…☆28Updated last year
- Data-driven Identification of 2D Partial Differential Equations using Extracted Physical Features☆11Updated 4 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
- Uncertainty Quantification in the POD-NN framework☆22Updated 4 years ago
- Deep learning framework for model reduction of dynamical systems☆21Updated 4 years ago
- ☆18Updated 4 years ago
- Deep Learning based method to try and learn the problem of inverse Navier Stokes and model the flow for an oscillating airfoil.☆20Updated 4 years ago
- Source code for "Probabilistic neural networks for fluid flow model-order reduction and data recovery"☆10Updated 4 years ago
- Spanwise-averaged Navier–Stokes modelling through convolutional neural network☆14Updated last year
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆20Updated 2 years ago
- A Python library for training neural ODEs.☆21Updated 3 months ago
- CU-BEN serial version: geometric and material nonlinear static and transient dynamic structural analysis/ linear acoustic fluid structure…☆11Updated 5 years ago
- Supporting code for "Reduced-order modeling of advection-dominated systems with recurrent neural networks and convolutional autoencoders"☆21Updated 4 years ago
- In computational fluid dynamics (CFD), the SIMPLE algorithm is a widely used numerical procedure to solve the Navier–Stokes equations. SI…☆16Updated 4 years ago
- Multi-fidelity reduced-order surrogate modeling☆23Updated last month
- Control of 2D Rayleigh Benard Convection using Deep Reinforcement Learning with Tensorforce and Shenfun.☆17Updated last year
- Sparse Identification of Nonlinear Dynamics for Boundary Value Problems☆12Updated 4 years ago