maziarraissi / PDE_GP
Machine learning of linear differential equations using Gaussian processes
☆24Updated 6 years ago
Alternatives and similar repositories for PDE_GP:
Users that are interested in PDE_GP are comparing it to the libraries listed below
- ☆24Updated 6 years ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆67Updated 4 years ago
- Tutorial on a number of topics in Deep Learning☆35Updated 4 years ago
- ☆62Updated 5 years ago
- Variational Neural Networks for the Solution of Partial Differential Equations☆8Updated 5 years ago
- Physics-Informed Neural Networks for solving PDEs (bachelor project)☆9Updated last year
- POD-PINN code and manuscript☆47Updated 3 months ago
- Source code for deep learning-based reduced order models for nonlinear time-dependent parametrized PDEs. Available on doi.org/10.1007/s10…☆22Updated last year
- Tutorial on Gaussian Processes☆62Updated 4 years ago
- ☆17Updated 4 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆47Updated 4 years ago
- Sparse Physics-based and Interpretable Neural Networks☆47Updated 3 years ago
- Deep Learning of Turbulent Scalar Mixing☆16Updated 5 years ago
- Source code for deep learning-based reduced order models in cardiac electrophysiology. Available on doi.org/10.1371/journal.pone.0239416.☆15Updated last year
- Multi Fidelity Monte Carlo☆25Updated 5 years ago
- Update PDEKoopman code to Tensorflow 2☆22Updated 3 years ago
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆19Updated last year
- Multi-fidelity reduced-order surrogate modeling☆19Updated 2 months ago
- This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Network…☆17Updated last year
- Source code for POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decom…☆29Updated last year
- XPINN code written in TensorFlow 2☆27Updated 2 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆24Updated 3 years ago
- Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems☆62Updated 4 years ago
- Python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks. Please cite this work as "A D Jagtap, K Kawa…☆38Updated 2 years ago
- Source code for the paper "Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process" …☆29Updated 2 years ago
- Generative Adversarial Networks are used to super resolve turbulent flow fields from low resolution (RANS/LES) fields to high resolution …☆23Updated 4 years ago
- Sample codes of CNN-SINDy based reduced-order modeling for fluid flows by Fukami et al., JFM 2021.☆24Updated 3 years ago
- Soving heat transfer problems using PINN with tf2.0☆19Updated 3 years ago
- This repository contains the files used in the paper " Reduced-order Model for Fluid Flows via Neural Ordinary Differential Equations"☆16Updated last year
- Discontinuity Computing Using Physics-Informed Neural Network☆22Updated 9 months ago