rodsveiga / PINNsLinks
Physics Informed Neural Networks
☆20Updated 4 years ago
Alternatives and similar repositories for PINNs
Users that are interested in PINNs are comparing it to the libraries listed below
Sorting:
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆88Updated last year
- Deep learning library for solving differential equations on top of PyTorch.☆61Updated 4 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
- gPINN: Gradient-enhanced physics-informed neural networks☆91Updated 3 years ago
- hPINN: Physics-informed neural networks with hard constraints☆133Updated 3 years ago
- POD-PINN code and manuscript☆51Updated 6 months ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆85Updated 4 years ago
- ☆97Updated 3 years ago
- ☆53Updated 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
- Non-adaptive and residual-based adaptive sampling for PINNs☆78Updated 2 years ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆69Updated last year
- Group project for Deep Learning: Algorithms and Applications in Peking University 2018 Spring. This is a brief survey, discussion and imp…☆44Updated 6 years ago
- Implementation of the Deep Ritz method and the Deep Galerkin method☆55Updated 5 years ago
- ☆63Updated 5 years ago
- Sparse Physics-based and Interpretable Neural Networks☆50Updated 3 years ago
- ☆62Updated 2 years ago
- PECANNs: Physics and Equality Constrained Artificial Neural Networks☆22Updated 2 years ago
- A-PINN: Auxiliary physics informed neural networks for forward and inverse problems of nonlinear integro-differential equations☆18Updated 2 years ago
- ☆11Updated 3 years ago
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆55Updated 4 years ago
- Physics Informed Neural Network (PINN) for Burgers' equation.☆70Updated 9 months ago
- XPINN code written in TensorFlow 2☆27Updated 2 years ago
- Examplary code for NN, MFNN, DynNet, PINNs and CNN☆49Updated 3 years ago
- DeepONet extrapolation☆27Updated 2 years ago
- Contains implementation of PINN using Tensorflow 2.4.0☆14Updated 2 years ago
- ☆117Updated 5 years ago
- ☆210Updated 3 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆49Updated 4 years ago
- Reproduce the first two numerical experiments(Pytorch)☆26Updated 4 years ago