zhaili191105 Goto Github PK
Type: User
Type: User
Source codes for "Convolutional neural networks for fluid flow analysis: toward effective metamodeling and low-dimensionalization," (arxiv:2101.02535)
CFD software for 2D and 3D Navier Stokes Flows.
CReLU layer for TensorFlow/Keras
Illustration of POD and DMD
A framework for fluid flow (Reynolds-averaged Navier Stokes) predictions with deep learning
This repository contains code used to create and train a deep neural network that replicates a RANS solver for aerodynamic prediction over airfoils.
DeepCFD: Efficient Steady-State Laminar Flow Approximation with Deep Convolutional Neural Networks
Deep Learning for Reduced Order Modelling
Source code for deep learning-based reduced order models for nonlinear time-dependent parametrized PDEs. Available on doi.org/10.1007/s10915-021-01462-7.
Enhancing Dynamic Mode Decomposition using Autoencoder Networks.
Early stopping for PyTorch
Laminar flow prediction using graph neural networks
Demo of Multi-scale Deep Convolutional Neural Networks
multi-fidelity neural network
This repository contains the simple source codes of "Convolutional neural network and long short-term memory based reduced order surrogate for minimal turbulent channel flow"
This repository contains the simple source codes of "Machine-learning-based reduced-order modeling for unsteady flows around bluff bodies of various shapes"
Multi-head attention network for airfoil flow field prediction
Research project conducted at Pacific Northwest National Laboratory, exploring the use of physics-informed autoencoders to predict fluid flow dynamics
POD and DMD decomposition of data from fluid dynamics. This work has been produced during my internship at the von Karman Institute for Fluid Dynamics under supervision of Professor Miguel A. Mendez.
Numerical tool for Construction of Reduced-order models for fluid flows.
this repository mainly descript how use vision transfrmer encode airfoil to latent code
Sample codes for training of Voronoi-tessellation-assisted convolutional neural network by Fukami et al. (Nature Machine Intelligence 2021)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.