skoohy / GPT-PINNLinks
Generative Pre-Trained Physics-Informed Neural Networks Implementation
☆112Updated 3 months ago
Alternatives and similar repositories for GPT-PINN
Users that are interested in GPT-PINN are comparing it to the libraries listed below
Sorting:
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆260Updated 4 years ago
- Original implementation of fast PINN optimization with RBA weights☆68Updated 3 months ago
- ☆184Updated last year
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆165Updated last year
- ☆186Updated last year
- ☆160Updated 3 years ago
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆223Updated 2 years ago
- ☆232Updated 4 years ago
- when using, please cite "Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems", CMAME, https://doi.org/1…☆81Updated 3 years ago
- PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations☆124Updated last month
- This is the code of my master thesis.☆169Updated 8 months ago
- PINN in solving Navier–Stokes equation☆117Updated 5 years ago
- Physics Informed Neural Network (PINN) for the wave equation.☆198Updated 5 years ago
- Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…☆198Updated 2 years ago
- A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data☆340Updated 2 years ago
- Tutorials on deep learning, Python, and dissipative particle dynamics☆202Updated 3 years ago
- hPINN: Physics-informed neural networks with hard constraints☆150Updated 4 years ago
- IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.☆243Updated last year
- ☆105Updated 4 years ago
- Physics-informed learning of governing equations from scarce data☆166Updated 2 years ago
- ETH Zürich Deep Learning in Scientific Computing Master's course 2023☆121Updated last year
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆152Updated 5 years ago
- DeepXDE and PINN☆140Updated 3 years ago
- A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks☆93Updated 3 years ago
- Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems☆105Updated 3 years ago
- ☆374Updated 3 years ago
- Implementing a physics-informed DeepONet from scratch☆52Updated 2 years ago
- Here I will try to implement the solution of PDEs using PINN on pytorch for educational purpose☆56Updated 3 years ago
- Simple PyTorch Implementation of Physics Informed Neural Network (PINN)☆351Updated last year
- physics-informed neural network for elastodynamics problem☆152Updated 3 years ago