Plenitude-ai

Data-Storytelling

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.

gatsby_tuto

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

LightGBM

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

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.

OC_node

Plenitude-ai/Data-Storytelling

Plenitude-ai/Dengue-Forecasting

Projet de prévision d'épidémie de dengue proposé par Driven Data. The right notebook to use is the simplest : Projet Python.ipynb

Plenitude-ai/dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

Plenitude-ai/gatsby-portfolio

creative personal & portfolio template based on gatsby. designed so you can showcase your work and write your blogs.

Plenitude-ai/gatsby_tuto

Plenitude-ai/Hackathon-Dauphine

Financial Hackathon of option volatility's prediction. Ranked 1st as part of team MSDS.

Plenitude-ai/iris_prediction

Prediction of iris type, using a restfull application

Plenitude-ai/LightGBM

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

Plenitude-ai/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/OC_node

Plenitude-ai/Plenitude-ai

Config files for my GitHub profile.

Plenitude-ai/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.

Plenitude-ai/Statistics-Election-Forecasting

We used Bayesian Statistics to improve the amount of information given by the polls, and then predict elections with improved accuracy.

Plenitude-ai/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 !