janiechen8 / DeepLSMethodLinks
☆10Updated 4 years ago
Alternatives and similar repositories for DeepLSMethod
Users that are interested in DeepLSMethod are comparing it to the libraries listed below
Sorting:
- Python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks. Please cite this work as "A D Jagtap, K Kawa…☆42Updated 2 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆49Updated 5 years ago
- POD-PINN code and manuscript☆53Updated 11 months ago
- ☆63Updated 6 years ago
- Different methods of solving partial differential equations with neural networks☆17Updated 3 years ago
- This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Network…☆19Updated last year
- ☆21Updated 4 years ago
- when using, please cite "Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems", CMAME, https://doi.org/1…☆78Updated 3 years ago
- Reproduce the first two numerical experiments(Pytorch)☆26Updated 5 years ago
- XPINN code written in TensorFlow 2☆28Updated 2 years ago
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆91Updated 2 years ago
- ☆42Updated 5 years ago
- Physics Informed Neural Network (PINN) for Burgers' equation.☆71Updated last year
- Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems☆63Updated 5 years ago
- Sparse Physics-based and Interpretable Neural Networks☆52Updated 4 years ago
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆20Updated 2 years ago
- Competitive Physics Informed Networks☆31Updated last year
- Implementation of the Deep Ritz method and the Deep Galerkin method☆59Updated 5 years ago
- This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means…☆178Updated 4 years ago
- Sample codes of CNN-SINDy based reduced-order modeling for fluid flows by Fukami et al., JFM 2021.☆26Updated 4 years ago
- DAS: A deep adaptive sampling method for solving high-dimensional partial differential equations☆38Updated 10 months ago
- Deep learning library for solving differential equations on top of PyTorch.☆61Updated 5 years ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆88Updated 4 years ago
- Source code for deep learning-based reduced order models for nonlinear time-dependent parametrized PDEs. Available on doi.org/10.1007/s10…☆25Updated 2 years ago
- Deep Learning of Vortex Induced Vibrations☆98Updated 5 years ago
- PINN, DGM and DRM☆20Updated 2 years ago
- ☆26Updated 7 years ago
- ☆12Updated last year
- Machine learning of linear differential equations using Gaussian processes☆23Updated 7 years ago
- Physics Informed Neural Networks (PINNs) + SPINNs + HyperPINNs + Adaptative Loss Weights with JAX 📓 Check out our various notebooks to g…☆37Updated last week