nguyenkhoa0209 / pinns_tutorialLinks
Tutorials for Physics-Informed Neural Networks
☆76Updated last year
Alternatives and similar repositories for pinns_tutorial
Users that are interested in pinns_tutorial are comparing it to the libraries listed below
Sorting:
- Basic implementation of physics-informed neural networks for solving differential equations☆90Updated 6 months ago
- when using, please cite "Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems", CMAME, https://doi.org/1…☆73Updated 3 years ago
- Physics Informed Neural Network (PINN) for Burgers' equation.☆70Updated 10 months ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆236Updated 3 years ago
- Original implementation of fast PINN optimization with RBA weights☆57Updated 2 months ago
- PINNs for 2D Incompressible Navier-Stokes Equation☆48Updated last year
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆149Updated 5 years ago
- Implementation of PINNs in TensorFlow 2☆79Updated last year
- Generative Pre-Trained Physics-Informed Neural Networks Implementation☆97Updated 4 months ago
- PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations☆105Updated 2 years ago
- ☆138Updated 8 months ago
- ☆128Updated 2 years ago
- PINNs-TF2, Physics-informed Neural Networks (PINNs) implemented in TensorFlow V2.☆129Updated last year
- Basic implementation of physics-informed neural network with pytorch.☆71Updated 2 years ago
- gPINN: Gradient-enhanced physics-informed neural networks☆93Updated 3 years ago
- A Physics-Informed Neural Network to solve 2D steady-state heat equations.☆144Updated 6 months ago
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆201Updated 2 years ago
- ☆167Updated last year
- Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…☆180Updated 2 years ago
- Physics-informed neural networks package☆315Updated 2 years ago
- ☆214Updated 3 years ago
- Here I will try to implement the solution of PDEs using PINN on pytorch for educational purpose☆49Updated 2 years ago
- ☆97Updated 3 years ago
- TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).☆261Updated last year
- PINN in solving Navier–Stokes equation☆106Updated 5 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆150Updated last year
- Playing around with Phyiscs-Informed Neural Networks☆80Updated last week
- Implementing a physics-informed DeepONet from scratch☆44Updated 2 years ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆70Updated last year
- Simple PyTorch Implementation of Physics Informed Neural Network (PINN)☆316Updated last year