PDE-Net: Learning PDEs from Data
#学习与技能提升#Source code for the Processing Core and Development Environment (PDE)
翻译 - 处理核心和开发环境(PDE)的源代码
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
android 投屏
Graph Neural PDEs
This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means of neural networks using TensorFlow.
Configurable ODE/PDE solver
Experimental Mode for the PDE
UNIVR PDE course project and just for fun
FiPy is a Finite Volume PDE solver written in Python
Official implementation of the paper *PDE-Driven Spatiotemporal Disentanglement*
⇄ http://dev.ipol.im/git/nil/retinex_pde.git mirror (retinex PDE)
DiffNet: A FEM based neural PDE solver package
Pytorch code for learning an underlying PDE from given data.
Using graph network to solve PDEs
Fourier Neural Operators to solve for Allen Cahn PDE equations
Python package for solving partial differential equations using finite differences.
Gaussian processes for computation, inference and uncertainty quantification with PDE measurements; in progress
PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning
Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data