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Zhiteng Gao's Projects

cactus icon cactus

CACTUS (Code for Axial and Cross-flow TUrbine Simulation) is a turbine performance simulation code, based on a free wake vortex method, to study wind turbines and marine hydrokinetic (MHK) devices.

caffe icon caffe

Caffe: a fast open framework for deep learning.

cfdpython icon cfdpython

A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/

cntk icon cntk

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

co-blade icon co-blade

Software for Analysis and Design of Composite Rotors

dugksfoam icon dugksfoam

An OpenFOAM solver for Boltzmann model equation using discrete unified gas kinetic scheme

fvlbm icon fvlbm

finite volume lattice Boltzmann metood

fvtool icon fvtool

Finite volume toolbox for Matlab/Octave

helyx-os icon helyx-os

The market leading open-source GUI for OpenFOAM®

interplicfoam icon interplicfoam

Solver for two incompressible, isothermal and immiscible fluids using the PLIC-VOF method.

lesgo icon lesgo

The Large-Eddy Simulation framework from the Turbulence Research Group at Johns Hopkins University

mbc icon mbc

A MATLAB®-based postprocessor for Multi-Blade Coordinate transformation of wind turbine state-space models

openhfdib icon openhfdib

Hybrid Fictitious-Domain/Immersed-Boundary library for OpenFOAM

openmdao icon openmdao

OpenMDAO is a high-performance computing platform for systems analysis and optimization that enables you to decompose your models, making them easier to build and maintain, while still solving them in a tightly-coupled manner with efficient parallel numerical methods.

openqbmm icon openqbmm

An open-source implementation of Quadrature-Based Moment Methods

osccar-doc icon osccar-doc

Documentation on our model development, currently only notes on the use of OpenFOAM

rocalphago icon rocalphago

An independent, student-led replication of DeepMind's 2016 Nature publication, "Mastering the game of Go with deep neural networks and tree search" (Nature 529, 484-489, 28 Jan 2016), details of which can be found on their website https://deepmind.com/publications.html.

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