xiaoyuxie-vico / Sci-ML-BookLinks
☆33Updated last year
Alternatives and similar repositories for Sci-ML-Book
Users that are interested in Sci-ML-Book are comparing it to the libraries listed below
Sorting:
- ☆24Updated last year
- physics-informed neural network for elastodynamics problem☆152Updated 4 years ago
- This is the code of my master thesis.☆176Updated 9 months ago
- ☆78Updated 2 years ago
- U-FNO - an enhanced Fourier neural operator-based deep-learning model for multiphase flow☆162Updated last year
- ☆54Updated last year
- DeepXDE and PINN☆146Updated 3 years ago
- A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks☆97Updated 3 years ago
- Examplary code for NN, MFNN, DynNet, PINNs and CNN☆51Updated 4 years ago
- ☆197Updated last year
- Physics Informed Fourier Neural Operator☆27Updated last year
- Here I will try to implement the solution of PDEs using PINN on pytorch for educational purpose☆57Updated 3 years ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆87Updated 4 months ago
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆185Updated last year
- Fourier_neural_operator☆16Updated 2 years ago
- A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data☆350Updated 2 years ago
- Implementing a physics-informed DeepONet from scratch☆55Updated 2 years ago
- PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations☆129Updated 2 months ago
- 2D wave equation simulated by PINN and FDM☆12Updated 3 years ago
- ☆165Updated 3 years ago
- ☆195Updated last year
- Basic implementation of physics-informed neural network with pytorch.☆85Updated 3 years ago
- A-PINN: Auxiliary physics informed neural networks for forward and inverse problems of nonlinear integro-differential equations☆23Updated 3 years ago
- PINN in solving Navier–Stokes equation☆124Updated 5 years ago
- ☆380Updated 3 years ago
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆76Updated 2 years ago
- ☆54Updated 3 years ago
- Implementation of PINNs in TensorFlow 2☆81Updated last month
- Implementation of Fourier Neural Operator using PyTorch☆27Updated 2 months ago
- Geometry-Aware Fourier Neural Operator (Geo-FNO)☆300Updated 7 months ago