alirezaafzalaghaei / PINN-tutorialLinks
A minimal implementation of Physics-Informed Neural Networks (PINNs) in PyTorch
☆20Updated 2 years ago
Alternatives and similar repositories for PINN-tutorial
Users that are interested in PINN-tutorial are comparing it to the libraries listed below
Sorting:
- ☆10Updated 2 years ago
- Simple demo on implementing data driven and physics informed Deep O Nets in pytorch☆19Updated last year
- DON-LSTM: Multi-Resolution Learning with DeepONets and Long-Short Term Memory Neural Networks☆11Updated 4 months ago
- This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Network…☆19Updated 2 years ago
- TensorFlow PINN study for a couple of Fokker-Planck equations.☆12Updated 3 years ago
- PINN Implementation for IJCAI paper, "Physics-Informed Neural Networks: Minimizing Residual Loss with Wide Networks and Effective Activat…☆20Updated last year
- ☆12Updated last month
- ☆14Updated 4 years ago
- Physics-Informed Super-Resolution☆10Updated 2 years ago
- ☆23Updated 4 years ago
- Transformed Generative Pre-Trained Physics-Informed Neural Networks (TGPT-PINN), a framework that extends Physics-Informed Neural Network…☆18Updated last year
- ☆14Updated last year
- ☆10Updated 2 years ago
- This is the official implementation of "Deep Fuzzy Physics-Informed Neural Networks for Forward and Inverse PDE Problems" (Neural Network…☆27Updated 2 months ago
- Physics Informed Sparse Identification of Nonlinear Dynamics☆12Updated last year
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆21Updated 2 years ago
- Data preprocess method on Physics-informed neural networks☆26Updated 10 months ago
- library for querying the Johns Hopkins Turbulence Database (JHTDB)☆18Updated 2 weeks ago
- ☆36Updated 3 years ago
- Official Code for ICML 2024 paper "TENG: Time-Evolving Natural Gradient for Solving PDEs With Deep Neural Nets Toward Machine Precision"☆15Updated last year
- Implementation of Physics-Informed PointNet (PIPN) for weakly-supervised learning of 2D linear elasticity (plane stress) on multiple sets…☆12Updated last year
- Simplified implementation of locally adaptive activation functions (LAAF) with slope recovery for deep and physics-informed neural networ…☆31Updated 4 years ago
- Dynamic weight strategy of physics-informed neural networks for the 2D Navier-Stokes equations☆14Updated 3 years ago
- ☆11Updated last year
- XPINN code written in TensorFlow 2☆28Updated 2 years ago
- Sample codes of CNN-SINDy based reduced-order modeling for fluid flows by Fukami et al., JFM 2021.☆28Updated 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…☆43Updated 2 years ago
- PDE Preserved Neural Network☆59Updated 7 months ago
- Code for "Robust flow field reconstruction from limited measurements vis sparse representation" (J. Callaham, K. Maeda, and S. Brunton 20…☆14Updated 7 years ago
- The repository contains implementations of examples provided in the literature on energy minimization based approach to Physics Informed …☆11Updated 5 years ago