MinglangYin / PyTorchTutorialLinks
Examplary code for NN, MFNN, DynNet, PINNs and CNN
☆51Updated 4 years ago
Alternatives and similar repositories for PyTorchTutorial
Users that are interested in PyTorchTutorial are comparing it to the libraries listed below
Sorting:
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆61Updated 5 years ago
- Here I will try to implement the solution of PDEs using PINN on pytorch for educational purpose☆57Updated 3 years ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆87Updated 5 months ago
- A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks☆98Updated 3 years ago
- physics-informed neural network for elastodynamics problem☆153Updated 4 years ago
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆36Updated 4 years ago
- Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems☆107Updated 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
- Physics Informed Neural Networks (based on Raissi et al) extended to three dimensions on the heat diffusion equations☆19Updated 3 years ago
- POD-PINN code and manuscript☆57Updated last year
- Physics-guided neural network framework for elastic plates☆50Updated 3 years ago
- A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics☆59Updated last year
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆92Updated 5 years ago
- PINN in solving Navier–Stokes equation☆125Updated 5 years ago
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆94Updated 2 years ago
- A collection of Jupyter notebooks providing tutorials on reduced order modeling techniques like DeepONet, FNO, DL-ROM, and POD-DL-ROM. Ea…☆30Updated last year
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆59Updated 4 years ago
- PINN program for computational mechanics☆131Updated last year
- Pytorch implementation of Bayesian physics-informed neural networks☆71Updated 4 years ago
- Sparse Physics-based and Interpretable Neural Networks☆52Updated 4 years ago
- DeepXDE and PINN☆149Updated 3 years ago
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆92Updated last year
- Examples implementing physics-informed neural networks (PINN) in Pytorch☆84Updated 4 years ago
- We introduce an innovative physics-informed LSTM framework for metamodeling of nonlinear structural systems with scarce data.☆99Updated 2 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆168Updated last year
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆76Updated 3 years ago
- ☆69Updated 3 years ago
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆159Updated 5 years ago
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆28Updated 2 years ago
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆190Updated last year