PredictiveIntelligenceLab / UQPINNs
☆61Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for UQPINNs
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆44Updated 4 years ago
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆79Updated last year
- POD-PINN code and manuscript☆45Updated 4 years ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆81Updated 3 years ago
- Sparse Physics-based and Interpretable Neural Networks☆46Updated 3 years ago
- Pytorch implementation of Bayesian physics-informed neural networks☆38Updated 3 years ago
- Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs☆86Updated 2 years ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆75Updated 2 years ago
- Source code for POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decom…☆27Updated last year
- Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data☆137Updated 5 years ago
- Proper Orthogonal Decomposition - Radial Basis Function (POD-RBF) Network☆54Updated last year
- Python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks. Please cite this work as "A D Jagtap, K Kawa…☆38Updated last year
- Deep Learning of Vortex Induced Vibrations☆86Updated 4 years ago
- Machine learning of linear differential equations using Gaussian processes☆22Updated 6 years ago
- ☆114Updated 2 years ago
- ☆35Updated last year
- ☆38Updated 4 years ago
- Bayesian deep convolutional encoder-decoder networks for surrogate modeling and uncertainty quantification☆102Updated 4 years ago
- Multi-fidelity classification with Gaussian process☆15Updated last year
- DeepONet extrapolation☆24Updated last year
- Non-adaptive and residual-based adaptive sampling for PINNs☆56Updated 2 years ago
- Multifidelity DeepONet☆27Updated last year
- ☆24Updated 6 years ago
- XPINN code written in TensorFlow 2☆26Updated last year
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆56Updated last year
- when using, please cite "Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems", CMAME, https://doi.org/1…☆56Updated 2 years ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆66Updated 4 years ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆61Updated last year
- Multi-fidelity Generative Deep Learning Turbulent Flows☆37Updated 3 years ago
- ☆51Updated 2 years ago