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
Sorting:
- DeepONet extrapolation☆27Updated last year
- ☆20Updated last year
- Learning two-phase microstructure evolution using neural operators and autoencoder architectures☆23Updated last year
- Simple demo on implementing data driven and physics informed Deep O Nets in pytorch☆11Updated 10 months ago
- Code for "Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains"☆18Updated last year
- Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems☆29Updated 2 months ago
- This is the implementation of the RecFNO.☆20Updated 2 years ago
- ☆35Updated 2 months ago
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆28Updated last year
- Reduced-Order Modeling of Fluid Flows with Transformers☆24Updated last year
- Variational Neural Networks for the Solution of Partial Differential Equations☆8Updated 5 years ago
- ☆41Updated 2 years ago
- ☆12Updated 2 years ago
- ☆32Updated last year
- ☆26Updated 10 months ago
- Multi-fidelity reduced-order surrogate modeling☆22Updated 2 weeks ago
- Pseudospectral Kolmogorov Flow Solver☆39Updated last year
- ☆37Updated 10 months ago
- ☆14Updated 3 years ago
- Multifidelity DeepONet☆32Updated last year
- ☆12Updated 2 weeks ago
- ☆12Updated last year
- Deep finite volume method☆21Updated 10 months ago
- The MegaFlow2D dataset package☆21Updated last year
- [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch☆32Updated this week
- Semi-supervised Invertible Neural Operators for Bayesian Inverse Problems☆13Updated 11 months ago
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆36Updated last month
- The public repository about our joint FINN research project☆36Updated 2 years ago
- Data preprocess method on Physics-informed neural networks☆15Updated 2 months ago
- A sequential DeepONet model implementation that uses a recurrent neural network (GRU and LSTM) in the branch and a feed-forward neural ne…☆14Updated last year