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ai_airfoil_cfd

This folder hold some techniques associated with Artificial Intelligence to examine the aerodynamics of airfoils

airfoilpreppy

ccblade-1

A blade element momentum method for analyzing wind turbine aerodynamic performance that is robust (guaranteed convergence), fast (superlinear convergence rate), and smooth (continuously differentiable).

ccblade.jl

Blade Element Momentum Method for Propellers and Turbines

comment_mfmetamodel

Reproduction of the paper: Shu, L., Jiang, P., Song, X., and Zhou, Q., “Novel approach for selecting low-fidelity scale factor in multifidelity metamodeling,” AIAA Journal, Vol. 57, No. 12, 2019, pp. 5320–5330. doi: 10.2514/1.J057989

flowunsteady

Mixed-fidelity unsteady aerodynamics and aeroacoustics

flowvpm.jl

Meshless large eddy simulation through the reformulated vortex particle method

gxbeam.jl

Pure Julia Implementation of Geometrically Exact Beam Theory

intro_ml_with_python_2nd_revised

<파이썬 라이브러리를 활용한 머신러닝 (번역개정2판)>의 코드 저장소

introduction_to_ml_with_python

도서 "[개정판] 파이썬 라이브러리를 활용한 머신 러닝"의 주피터 노트북과 코드입니다.

korali

High-performance framework for uncertainty quantification, optimization and reinforcement learning.

korali-tutorial

Source Code for Korali Tutorials

ngv_project

pareto.py

Nondominated sorting for multi-objective problems

sl-nirom

Soft local non-intrusive reduced-order modeling based on soft clustering and classification

subdamian

Surrogate-based Data Mining Analysis