MinglangYin / PyTorchTutorial
Examplary code for NN, MFNN, DynNet, PINNs and CNN
☆49Updated 3 years ago
Alternatives and similar repositories for PyTorchTutorial:
Users that are interested in PyTorchTutorial are comparing it to the libraries listed below
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆55Updated 4 years ago
- POD-PINN code and manuscript☆51Updated 5 months ago
- Non-adaptive and residual-based adaptive sampling for PINNs☆74Updated 2 years ago
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆30Updated 3 years ago
- Physics Informed Neural Networks (based on Raissi et al) extended to three dimensions on the heat diffusion equations☆18Updated 2 years ago
- Pytorch implementation of Bayesian physics-informed neural networks☆59Updated 3 years ago
- DeepXDE and PINN☆108Updated 2 years ago
- Examples implementing physics-informed neural networks (PINN) in Pytorch☆66Updated 3 years ago
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆70Updated last year
- Implementation of PINNs in TensorFlow 2☆78Updated last year
- Here I will try to implement the solution of PDEs using PINN on pytorch for educational purpose☆48Updated 2 years ago
- A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics☆56Updated 11 months ago
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆88Updated last year
- Implement PINN with high level APIs of TF2.0, including a solution of coupled PDEs with PINN☆27Updated 2 years ago
- Basic implementation of physics-informed neural network with pytorch.☆67Updated 2 years ago
- PINN program for computational mechanics☆106Updated last year
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆70Updated 2 years ago
- physics-informed neural network for elastodynamics problem☆135Updated 3 years ago
- Physics-guided neural network framework for elastic plates☆38Updated 3 years ago
- Burgers equation solved by PINN in PyTorch☆21Updated 3 years ago
- A collection of Jupyter notebooks providing tutorials on reduced order modeling techniques like DeepONet, FNO, DL-ROM, and POD-DL-ROM. Ea…☆25Updated 3 months ago
- A-PINN: Auxiliary physics informed neural networks for forward and inverse problems of nonlinear integro-differential equations☆18Updated 2 years ago
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆51Updated 3 years ago
- Reproduce the first two numerical experiments(Pytorch)☆26Updated 4 years ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆79Updated 2 years ago
- PINN in solving Navier–Stokes equation☆97Updated 4 years ago
- ☆49Updated 4 months ago
- Sparse Physics-based and Interpretable Neural Networks☆48Updated 3 years ago
- gPINN: Gradient-enhanced physics-informed neural networks☆89Updated 3 years ago
- Deep learning library for solving differential equations on top of PyTorch.☆61Updated 4 years ago