kursatkara Goto Github PK
Name: Kursat Kara
Type: User
Company: Oklahoma State University
Location: Stillwater, OK
Kursat Kara's Projects
18.337_2015
18.337_2018
18330
18.330 Intro to Numerical Analysis
18335
18.335 - Introduction to Numerical Methods course
18s096
18.S096 three-week course at MIT
18s191
Course 18.S191 at MIT, Spring 2021 - Introduction to computational thinking with Julia:
2d_turbulence
This repository contains code for data-driven LES of two-dimensional turbulence.
6s083
Materials for MIT 6.S083 / 18.S190: Computational thinking with Julia + application to the COVID-19 pandemic
a-cfd-tutorial-in-julia
a-cfd-tutorial-in-julia-compressible-blasius
academic-kickstart
ai-feynman
aircraftmesher
A Glyph script demonstrating how to automate viscous meshing for aircraft geometry.
airfoilgenerator
A Glyph script for generating NACA 4-series airfoil geometries.
airfoilmesh
A Glyph script for generating NACA 4-series airfoil geometries and boundary layer meshes.
amrex
AMReX: Software Framework for Block Structured AMR
basic_skills
big-data
Python tools for big data
blogs
Repository for content, code and other related materials for the blogs
caeunssu2
The SU2 CAE solver plugin source code for Pointwise.
cfd_julia
This repository contains fundamental codes related to CFD that can be included in any graduate level CFD coursework.
cfl3d
cm1r19.10
cm1r19.8-lofs
George Bryan's CM1 release 19.8 model with LOFS patches
convertgridtodatabase
Convert domains and connectors to database entities.
coolfluid
The object-oriented HPC platform for CFD, plasma and multi-physics simulations whose development started in 2002 at the Von Karman Institute for Fluid Dynamics is finally open!
createoh
A Glyph script that automatically creates an OH-topology given a loop of four connectors.
cuda-samples
Samples for CUDA Developers which demonstrates features in CUDA Toolkit
databook_python
IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Steven L. Brunton and J. Nathan Kutz
dcgan-mnist-tensorflow
Deep Convolutional Generative Adversarial Network for MNIST [with Tensorflow]
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