shaandesai1 / TransferDELinks
One-Shot Transfer Learning of PINNs
☆11Updated 2 years ago
Alternatives and similar repositories for TransferDE
Users that are interested in TransferDE are comparing it to the libraries listed below
Sorting:
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆49Updated 5 years ago
- ☆54Updated 2 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…☆41Updated 2 years ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆87Updated 4 years ago
- Characterizing possible failure modes in physics-informed neural networks.☆141Updated 3 years ago
- Reliable extrapolation of deep neural operators informed by physics or sparse observations☆27Updated 2 years ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆73Updated 2 years ago
- ☆150Updated 3 years ago
- ☆112Updated 7 months ago
- Implementing a physics-informed DeepONet from scratch☆46Updated 2 years ago
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆89Updated 2 years ago
- ☆98Updated 3 years ago
- Here I will try to implement the solution of PDEs using PINN on pytorch for educational purpose☆52Updated 2 years ago
- Encoding physics to learn reaction-diffusion processes☆103Updated 2 years ago
- Original implementation of fast PINN optimization with RBA weights☆59Updated last week
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆69Updated 4 months ago
- POD-PINN code and manuscript☆53Updated 10 months ago
- Official implementation of "PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network"☆50Updated 2 years ago
- ☆175Updated last year
- ☆50Updated 2 years ago
- ☆38Updated last year
- Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs☆93Updated 3 years ago
- Applications of PINOs☆133Updated 2 years ago
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆36Updated this week
- ☆59Updated last month
- ☆63Updated 6 years ago
- ☆154Updated 11 months ago
- ☆191Updated 5 months ago
- MIONet: Learning multiple-input operators via tensor product☆37Updated 2 years ago
- Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data☆150Updated 5 years ago