PredictiveIntelligenceLab / PINNsNTKLinks
☆97Updated 3 years ago
Alternatives and similar repositories for PINNsNTK
Users that are interested in PINNsNTK are comparing it to the libraries listed below
Sorting:
- ☆210Updated 3 years ago
- ☆53Updated 2 years ago
- ☆165Updated last year
- ☆141Updated 2 years ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆78Updated 2 years ago
- Applications of PINOs☆126Updated 2 years ago
- Example problems in Physics informed neural network in JAX☆80Updated last year
- Sparse Physics-based and Interpretable Neural Networks☆50Updated 3 years ago
- Implementation of PINNs in TensorFlow 2☆78Updated last year
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆85Updated 4 years ago
- Non-adaptive and residual-based adaptive sampling for PINNs☆78Updated 2 years ago
- hPINN: Physics-informed neural networks with hard constraints☆133Updated 3 years ago
- PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations☆99Updated 2 years ago
- when using, please cite "Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems", CMAME, https://doi.org/1…☆70Updated 2 years ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆69Updated last year
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆70Updated 2 years ago
- gPINN: Gradient-enhanced physics-informed neural networks☆91Updated 3 years ago
- Original implementation of fast PINN optimization with RBA weights☆54Updated last month
- Here I will try to implement the solution of PDEs using PINN on pytorch for educational purpose☆49Updated 2 years ago
- PINNs for 2D Incompressible Navier-Stokes Equation☆47Updated last year
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆31Updated 3 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…☆40Updated 2 years ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆229Updated 3 years ago
- physics-informed neural network for elastodynamics problem☆140Updated 3 years ago
- Characterizing possible failure modes in physics-informed neural networks.☆135Updated 3 years ago
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆88Updated last year
- POD-PINN code and manuscript☆51Updated 6 months ago
- MIONet: Learning multiple-input operators via tensor product☆34Updated 2 years ago
- DeepONet extrapolation☆27Updated 2 years ago
- Multifidelity DeepONet☆33Updated last year