skoohy / GPT-PINNLinks
Generative Pre-Trained Physics-Informed Neural Networks Implementation
☆110Updated 2 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]☆255Updated 4 years ago
- ☆170Updated last year
- Original implementation of fast PINN optimization with RBA weights☆66Updated 2 months ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆160Updated last year
- ☆155Updated 3 years ago
- when using, please cite "Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems", CMAME, https://doi.org/1…☆78Updated 3 years ago
- ☆227Updated 4 years ago
- A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data☆334Updated 2 years ago
- ☆180Updated last year
- PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations☆121Updated 3 weeks ago
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆220Updated 2 years ago
- Implementing a physics-informed DeepONet from scratch☆51Updated 2 years ago
- A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks☆91Updated 3 years ago
- PINN in solving Navier–Stokes equation☆114Updated 5 years ago
- ☆132Updated 3 years ago
- Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems☆100Updated 3 years ago
- Tutorials on deep learning, Python, and dissipative particle dynamics☆201Updated 3 years ago
- Here I will try to implement the solution of PDEs using PINN on pytorch for educational purpose☆54Updated 2 years ago
- hPINN: Physics-informed neural networks with hard constraints☆149Updated 3 years ago
- Physics-informed learning of governing equations from scarce data☆157Updated 2 years ago
- physics-informed neural network for elastodynamics problem☆151Updated 3 years ago
- This is the code of my master thesis.☆164Updated 7 months ago
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆150Updated 5 years ago
- Physics Informed Neural Network (PINN) for the wave equation.☆195Updated 5 years ago
- Basic implementation of physics-informed neural network with pytorch.☆81Updated 3 years ago
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆175Updated last year
- DeepXDE and PINN☆136Updated 3 years ago
- Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…☆197Updated 2 years ago
- ☆110Updated last year
- ☆369Updated 2 years ago