infinitehong-SJTU's Stars
AMReX-Fluids/CAMR
AMR code for compressible flow simulation
fairyflies9/IBAMR-Tutorials
Sample code, powerpoint slides, and videos for using IBAMR
IBAMR/IBAMR
An adaptive and distributed-memory parallel implementation of the immersed boundary (IB) method
ucns3d-team/UCNS3D
Unstructured Compressible Navier Stokes 3D code (UCNS3D)
dutykh/BabenkoSolitaryWave
Matlab scripts to compute a solitary wave for the full Euler equations with the free surface
AmeyaJagtap/Conservative_PINNs
We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation property of cPINN is obtained by enforcing the flux continuity in the strong form along the sub-domain interfaces.
AmeyaJagtap/XPINNs_TensorFlow-2
XPINN code written in TensorFlow 2
nanditadoloi/PINN
Simple PyTorch Implementation of Physics Informed Neural Network (PINN)
wzy6642/Dive-Into-Deep-Learning-PyTorch-PDF
本项目对中文版《动手学深度学习》中的代码进行了PyTorch实现并整理为PDF版本供下载
Shengfeng233/PINN-MPI
parallel PINNs; RANS equations; spatiotemporal parallel; PINNs
zergtant/pytorch-handbook
pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行
MorvanZhou/PyTorch-Tutorial
Build your neural network easy and fast, 莫烦Python中文教学
dragen1860/Deep-Learning-with-TensorFlow-book
深度学习入门开源书,基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
maziarraissi/HFM
Hidden Fluid Mechanics
vc-bonn/Unsupervised_Deep_Learning_of_Incompressible_Fluid_Dynamics
vc-bonn/Spline_PINN
Ceyron/machine-learning-and-simulation
All the handwritten notes 📝 and source code files 🖥️ used in my YouTube Videos on Machine Learning & Simulation (https://www.youtube.com/channel/UCh0P7KwJhuQ4vrzc3IRuw4Q)
a1k12/characterizing-pinns-failure-modes
Characterizing possible failure modes in physics-informed neural networks.
chen-yingfa/pinn-torch
PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations
kf-liu/The-Art-of-Linear-Algebra-zh-CN
Graphic notes on Gilbert Strang's "Linear Algebra for Everyone", 线性代数的艺术中文版, 欢迎PR.
maziarraissi/PINNs
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations