madagra / basic-pinn
Basic implementation of physics-informed neural networks for solving differential equations
☆83Updated 2 months ago
Alternatives and similar repositories for basic-pinn:
Users that are interested in basic-pinn are comparing it to the libraries listed below
- ☆115Updated 5 months ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆212Updated 3 years ago
- Implementation of PINNs in TensorFlow 2☆75Updated last year
- Physics Informed Neural Network (PINN) for the wave equation.☆154Updated 4 years ago
- A Physics-Informed Neural Network to solve 2D steady-state heat equations.☆133Updated 2 months ago
- Physics Informed Neural Network (PINN) for Burgers' equation.☆69Updated 7 months ago
- ☆157Updated last year
- Implementing a physics-informed DeepONet from scratch☆36Updated last year
- ☆194Updated 3 years ago
- Basic implementation of physics-informed neural network with pytorch.☆63Updated 2 years ago
- ☆130Updated 2 years ago
- ☆91Updated 3 years ago
- Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…☆169Updated 2 years ago
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆135Updated 4 years ago
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆181Updated 2 years ago
- ☆169Updated last year
- Original implementation of fast PINN optimization with RBA weights☆49Updated 5 months ago
- A place to share problems solved with SciANN☆272Updated last year
- TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).☆256Updated last year
- gPINN: Gradient-enhanced physics-informed neural networks☆84Updated 2 years ago
- Here I will try to implement the solution of PDEs using PINN on pytorch for educational purpose☆47Updated 2 years ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆68Updated last year
- Physics-informed neural networks package☆296Updated 2 years ago
- physics-informed neural network for elastodynamics problem☆132Updated 3 years ago
- PINNs for 2D Incompressible Navier-Stokes Equation☆43Updated 10 months ago
- Simple PyTorch Implementation of Physics Informed Neural Network (PINN)☆294Updated 8 months ago
- PINNs-TF2, Physics-informed Neural Networks (PINNs) implemented in TensorFlow V2.☆105Updated 10 months ago
- ETH Zürich Deep Learning in Scientific Computing Master's course 2023☆107Updated 8 months ago
- ☆190Updated 7 months ago
- ☆122Updated 2 years ago