rezaakb / pinns-torch

PyTorch Implementation of Physics-informed Neural Networks

#计算机科学#A library for scientific machine learning and physics-informed learning

Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.

The purpose of this code is to assist academics in Einstein's Theory of General Relativity. This code allows the user to input a spacetime metric of their own design and output the Christoffel symbols...

Investigating PINNs

A pytorch implementaion of physics informed neural networks for two dimensional NS equation

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

A 2D Python Implementation of Smoothed Particle Hydrodynamics

Let us control diffusion models!

#计算机科学#Physics-informed neural network for solving fluid dynamics problems

A repository for solving heat equation in a rectangular fin with Physics Informed Neural Networks and Surrogate Models.

PyTorch implementation for SDEdit: Image Synthesis and Editing with Stochastic Differential Equations

#计算机科学#A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods

Finite Volume simulation of the Kelvin-Helmholtz Instability