Déa Chibouti's Projects
100 Days of ML Coding
Honours research project on an analytical aeroacoustic model for coaxial rotors in Urban Air Vehicles
Experiment code associated with our paper: "Aerodynamic Design Optimization and Shape Exploration using Generative Adversarial Networks"
Notebooks about Bayesian methods for machine learning
A Python implementation of global optimization with gaussian processes.
reunions sur le couplage
Comparison of various numerical methods for computational fluid dynamics
The repository contains the work done on computation of Couette flow
I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks!
✨ special ✨ repository
An interactional aerodynamics and acoustics solver for multirotor aircraft and wind energy
Post-processing framework to predict rotor noise using PSU-WOPWOP from CAMRAD II simulation results
HVAC Simulation - OpenFOAM
Simple one-dimensional examples of various hydrodynamics techniques
Latex_First_Template
Mixed-Integer Parallel Efficient Global Optimization
Matlab code of machine learning algorithms in book PRML
Rotor geometry files used in rotor-rotor investigation
Bayesian and Gaussian Process regression using scikit-learn libraries for a simple test
Sequential model-based optimization with a `scipy.optimize` interface