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:
- ☆54Updated 3 years ago
- Applications of PINOs☆143Updated 3 years ago
- ☆110Updated 4 years ago
- Official implementation of "PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network"☆54Updated 2 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆50Updated 5 years ago
- Characterizing possible failure modes in physics-informed neural networks.☆147Updated 4 years ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆75Updated 2 years ago
- ☆40Updated last year
- ☆164Updated 3 years ago
- ☆13Updated 6 years ago
- ETH Zürich Deep Learning in Scientific Computing Master's course 2023☆122Updated 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…☆43Updated 2 years ago
- ☆195Updated last year
- Sparse Physics-based and Interpretable Neural Networks☆52Updated 4 years ago
- ☆198Updated 9 months ago
- Implementing a physics-informed DeepONet from scratch☆55Updated 2 years ago
- ☆41Updated 2 years ago
- ☆238Updated 4 years ago
- Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics☆66Updated 3 years ago
- Reliable extrapolation of deep neural operators informed by physics or sparse observations☆28Updated 2 years ago
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆75Updated 8 months ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆91Updated 4 years ago
- Encoding physics to learn reaction-diffusion processes☆109Updated 2 years ago
- Examplary code for NN, MFNN, DynNet, PINNs and CNN☆51Updated 4 years ago
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆59Updated 3 years ago
- POD-PINN code and manuscript☆57Updated last year
- Original implementation of fast PINN optimization with RBA weights☆68Updated 4 months ago
- Competitive Physics Informed Networks☆32Updated last year
- Physics-encoded recurrent convolutional neural network☆48Updated 4 years ago
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆93Updated 2 years ago