IFaay / pyRFMLinks
A Python package for Random Feature Method (RFM)
☆27Updated last week
Alternatives and similar repositories for pyRFM
Users that are interested in pyRFM are comparing it to the libraries listed below
Sorting:
- A large-scale benchmark for machine learning methods in fluid dynamics☆250Updated last month
- A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data☆340Updated 2 years ago
- Geometry-Aware Fourier Neural Operator (Geo-FNO)☆290Updated 6 months ago
- ☆374Updated 3 years ago
- ☆45Updated this week
- ☆160Updated 3 years ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆86Updated 3 months ago
- A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks☆93Updated 3 years ago
- About code release of "Transolver: A Fast Transformer Solver for PDEs on General Geometries", ICML 2024 Spotlight. https://arxiv.org/abs/…☆244Updated last month
- Implementation of the Deep Ritz method and the Deep Galerkin method☆61Updated 5 years ago
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆181Updated last year
- physics-informed neural network for elastodynamics problem☆152Updated 3 years ago
- ☆71Updated 2 years ago
- Tutorials on deep learning, Python, and dissipative particle dynamics☆202Updated 3 years ago
- Physics Informed Neural Networks (based on Raissi et al) extended to three dimensions on the heat diffusion equations☆19Updated 3 years ago
- PINN in solving Navier–Stokes equation☆118Updated 5 years ago
- Physics-informed neural network for solving fluid dynamics problems☆255Updated 4 years ago
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆74Updated 2 years ago
- Here I will try to implement the solution of PDEs using PINN on pytorch for educational purpose☆56Updated 3 years ago
- ☆186Updated last year
- PINN program for computational mechanics☆128Updated last year
- Characterizing possible failure modes in physics-informed neural networks.☆145Updated 4 years ago
- This is the code of my master thesis.☆169Updated 8 months ago
- Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…☆199Updated 2 years ago
- ☆56Updated 2 years ago
- ☆32Updated 11 months ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆165Updated last year
- Fourier_neural_operator☆16Updated 2 years ago
- Basic implementation of physics-informed neural network with pytorch.☆83Updated 3 years ago
- ☆45Updated 6 months ago