PredictiveIntelligenceLab / UQDeepONet
☆10Updated 2 years ago
Alternatives and similar repositories for UQDeepONet:
Users that are interested in UQDeepONet are comparing it to the libraries listed below
- DeepONet extrapolation☆27Updated last year
- ☆29Updated last month
- ☆20Updated last year
- This is the implementation of the RecFNO.☆20Updated 2 years ago
- Code for "Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains"☆18Updated 11 months ago
- Multifidelity DeepONet☆31Updated last year
- Variational Neural Networks for the Solution of Partial Differential Equations☆8Updated 5 years ago
- ☆26Updated 9 months ago
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆28Updated last year
- Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems☆28Updated last month
- MIONet: Learning multiple-input operators via tensor product☆34Updated 2 years ago
- Learning two-phase microstructure evolution using neural operators and autoencoder architectures☆23Updated 11 months ago
- Discontinuity Computing Using Physics-Informed Neural Network☆23Updated last year
- Multi-fidelity reduced-order surrogate modeling☆21Updated 4 months ago
- ☆28Updated 2 years ago
- ☆35Updated 9 months ago
- ☆41Updated 2 years ago
- Deep finite volume method☆21Updated 9 months ago
- ☆12Updated last week
- ☆32Updated last year
- Code accompanying "Inverse-Dirichlet Weighting Enables Reliable Training of Physics Informed Neural Networks", Maddu et al., 2021☆11Updated 3 years ago
- This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Network…☆18Updated last year
- ☆9Updated 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 novel DeepONet architecture that is specifically designed for generating predictions on different 3D geometries discretized by differen…☆13Updated 9 months ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆24Updated last year
- Data preprocess method on Physics-informed neural networks☆15Updated 2 months ago
- Accelerating Physics Informed Neural Networks (PINNs) using Meshless Discretizations☆25Updated 2 years ago
- Differential equation neural operator☆20Updated last year
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆36Updated 2 weeks ago