PredictiveIntelligenceLab / ImprovedDeepONets
☆25Updated 2 years ago
Alternatives and similar repositories for ImprovedDeepONets:
Users that are interested in ImprovedDeepONets are comparing it to the libraries listed below
- ☆52Updated 2 years ago
- MIONet: Learning multiple-input operators via tensor product☆31Updated 2 years ago
- Multifidelity DeepONet☆27Updated last year
- Accelerating Physics Informed Neural Networks (PINNs) using Meshless Discretizations☆22Updated last year
- DeepONet extrapolation☆25Updated last year
- ☆30Updated last year
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆56Updated 6 months 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 of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆67Updated last year
- POD-PINN code and manuscript☆47Updated 3 months ago
- Sparse Physics-based and Interpretable Neural Networks☆47Updated 3 years ago
- Original implementation of fast PINN optimization with RBA weights☆47Updated 4 months ago
- A collection of Jupyter notebooks providing tutorials on reduced order modeling techniques like DeepONet, FNO, DL-ROM, and POD-DL-ROM. Ea…☆22Updated last month
- XPINN code written in TensorFlow 2☆27Updated 2 years ago
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆25Updated last year
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆24Updated last year
- ☆25Updated this week
- Discontinuity Computing Using Physics-Informed Neural Network☆22Updated 10 months ago
- ☆46Updated last month
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆63Updated 2 years ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆82Updated 4 years ago
- Competitive Physics Informed Networks☆26Updated 5 months ago
- Non-adaptive and residual-based adaptive sampling for PINNs☆65Updated 2 years ago
- Code for "Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains"☆17Updated 9 months ago
- ☆22Updated 7 months ago
- ☆23Updated 2 years ago
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆31Updated 7 months ago
- PDE Preserved Neural Network☆45Updated 7 months ago
- In this repository, you will find the different python scripts to train the available models on the AirfRANS dataset proposed at the Neur…☆46Updated last month
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆49Updated 3 years ago