juansensio / nangsLinks
Solving PDEs with NNs
☆55Updated 3 years ago
Alternatives and similar repositories for nangs
Users that are interested in nangs are comparing it to the libraries listed below
Sorting:
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆92Updated 4 years ago
- Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs☆93Updated 3 years ago
- Hidden physics models: Machine learning of nonlinear partial differential equations☆149Updated 5 years ago
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆94Updated 2 years ago
- Deep learning library for solving differential equations on top of PyTorch.☆62Updated 5 years ago
- hPINN: Physics-informed neural networks with hard constraints☆153Updated 4 years ago
- Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data☆150Updated 6 years ago
- ☆110Updated 4 years ago
- ☆70Updated 2 years ago
- Sparse Physics-based and Interpretable Neural Networks☆52Updated 4 years ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆87Updated 4 months ago
- ☆118Updated 6 years ago
- ☆238Updated 4 years ago
- ☆63Updated 6 years ago
- Example problems in Physics informed neural network in JAX☆81Updated 2 years ago
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆236Updated 2 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆50Updated 5 years ago
- Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed c…☆117Updated 3 years ago
- Applications of PINOs☆144Updated 3 years ago
- ☆115Updated last year
- ☆130Updated 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…☆43Updated 2 years ago
- This is the repository for the code used in the ICML23 paper called "Achieving High Accuracy with PINNs via Energy Natural Gradient Desce…☆26Updated last year
- ☆165Updated 3 years ago
- when using, please cite "Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems", CMAME, https://doi.org/1…☆84Updated 3 years ago
- ☆54Updated 3 years ago
- Neural network based solvers for partial differential equations and inverse problems . Implementation of physics-informed neural networks…☆158Updated last year
- POD-PINN code and manuscript☆57Updated last year
- ☆42Updated 5 years ago
- Deep learning for Engineers - Physics Informed Deep Learning☆361Updated 2 years ago