Aboubakiri's Projects
Config files for my GitHub profile.
The goal of this project is to build and train a convolutional neural network (CNN) that will serve to classify photos of the three football players (Iniesta, Neymar and Messi).
Support de cours casa 2020
Open-source codebase for EfficientZero, from "Mastering Atari Games with Limited Data" at NeurIPS 2021.
π Generate GitHub profile README easily with the latest add-ons like visitors count, GitHub stats, etc using minimal UI.
The Unified Machine Learning Framework
Machine learning model k-means from scratch
Official listmonk install button for Heroku.
In this project, we build a machine learning model to predict the score of Premier League matches. For this we have data from the last 3 seasons.
This project consists in creating an interface using Shiny wich is an R package that makes it easy to build interactive web apps straight from R.
Creation of a recommendation system algorithm using the SVD (Singular value decomposition) method.
Dans ce mini projet nous allons mettre au point un rΓ©seau word2vec et nous en servir pour construire un outils de complΓ©tion de playlist (suggestion de morceaux).
My deep learning work during my learning phase: CNN, RNN etc...
Work on NLP (Natural language processing) algorithms
Value at Risk (VaR) and conditional Ralue at Risk (CVaR) Here is the basics of these two concepts and explain . We will implement three methodologies for calculating VaR and CVaR slowly with Python!