li-Pingan / fourier-neural-operatorLinks
☆58Updated 2 years ago
Alternatives and similar repositories for fourier-neural-operator
Users that are interested in fourier-neural-operator are comparing it to the libraries listed below
Sorting:
- A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data☆318Updated 2 years ago
- A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks☆87Updated 2 years ago
- ☆362Updated 2 years ago
- ☆50Updated 8 months ago
- DeepXDE and PINN☆124Updated 3 years ago
- ☆30Updated last year
- ☆147Updated 10 months ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆152Updated last year
- Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.☆337Updated last year
- ☆172Updated last year
- Tutorials on deep learning, Python, and dissipative particle dynamics☆195Updated 3 years ago
- Physics Informed Fourier Neural Operator☆24Updated 9 months ago
- Geometry-Aware Fourier Neural Operator (Geo-FNO)☆267Updated 2 months ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆243Updated 3 years ago
- U-FNO - an enhanced Fourier neural operator-based deep-learning model for multiphase flow☆145Updated 11 months ago
- This is the code of my master thesis.☆141Updated 4 months ago
- Here I will try to implement the solution of PDEs using PINN on pytorch for educational purpose☆50Updated 2 years ago
- ☆147Updated 3 years ago
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆157Updated last year
- ☆21Updated last year
- Fourier_neural_operator☆15Updated 2 years ago
- Implementing a physics-informed DeepONet from scratch☆46Updated 2 years ago
- physics-informed neural network for elastodynamics problem☆146Updated 3 years ago
- ☆58Updated last week
- PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations☆108Updated 2 years ago
- Basic implementation of physics-informed neural network with pytorch.☆75Updated 2 years ago
- Physics-informed learning of governing equations from scarce data☆149Updated 2 years ago
- ☆64Updated 2 years ago
- A large-scale benchmark for machine learning methods in fluid dynamics☆213Updated 8 months ago
- Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems☆97Updated 3 years ago