Axel Durand's repositories
Dengue-Forecasting
Projet de prévision d'épidémie de dengue proposé par Driven Data. The right notebook to use is the simplest : Projet Python.ipynb
dino
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
gatsby-portfolio
creative personal & portfolio template based on gatsby. designed so you can showcase your work and write your blogs.
Hackathon-Dauphine
Financial Hackathon of option volatility's prediction. Ranked 1st as part of team MSDS.
iris_prediction
Prediction of iris type, using a restfull application
MonteCarlo_Parrallelized_CudaC-
Project of option pricing, using Monte Carlo approach. We used Cuda to highly parrallelize our executions on the GPU, and end up with a 330+ times faster algorithm, compared to the sequential algorithm in CPU.
Plenitude-ai
Config files for my GitHub profile.
Rent-Advising
This project aims to provide assistance in the choice of accommodation via an interactive web page. Displays a city map where the main points (metro stations) are evaluated on two criteria : - distance from the workplace - housing prices per square metre The map makes the search area easy to navigate, with intuitive colour coding.
Statistics-Election-Forecasting
We used Bayesian Statistics to improve the amount of information given by the polls, and then predict elections with improved accuracy.
Wine-Challenge
Wine study : prices, type of productions, creation of a wine menu... Challenge undertaken for a data science position, which I enjoyed a lot, and decided to share !