ABDELAZIZ BOUNHAR's repositories
Face-Aging-GAN
In this repository, we provide a Generative Model to adress the Face Aging problematic. We want to translate the input image to the desired class (10-19, 20-29, 30-39, 40-49, 50+) of age given as input too.
Face-Image-Colorization
We use generative networks to tranform a 512x512 input image in the B&W domain to a 512x512 image in the RGB domain.
GTSRB---German-Traffic-Sign-Recognition-Benchmark
The German Traffic Sign Benchmark is a multi-class, single-image classification challenge held at the International Joint Conference on Neural Networks (IJCNN) 2011.
Housing-Price-Prediction
Housing Price Prediction using Data Science and Machine Learning
Python-For-Data-Science
Using Machine Learning and Deep Learning algorithms and technics to train models using Python librairies such as Scikit-Learn, Tensorflow, Pandas, Numpy, Matplotlib..
User-Profiling
In order to provide diverse, tailored and targeted solutions to a member, the system needs to get to know it better. The more active the person is on the social network, the more the system will learn to know it better and will offer him solutions more adapted to his profile. Thus, I start from the fact that knowing the Sentiment (feeling) of the person on each Topic after detecting it with the techniques of Topic Modeling will allow me to better know what she likes to offer more relevant results and more targeted advertising.
WEB-MAPPING
Web application (under Angular 7 and Java EE SpringBoot) for monitoring the expropriation of land in Morocco
Generative-Adversarial-Networks
This repository contains some experiences related to Generative Modeling with Generative Adversarial Nets
Neural-Style-Transfer
This repository contains some experiments with Neural style transfer to applied to images
African-Country-Crisis
The objective of this study is to use some macroeconomics aggregate to predict whether or not the country will be on a crisis.
Face-Age-Classifier
Implementing deep neural networks to estimate the age of a person from its face image.
Legendary-Pokemon-Classification
Legendary Pokemon Classification using Data Science and Machine Learning with Scikit-Learn
ml5-data-and-models
Data sets and pre-trained models for ml5.js
Text-Classification
Text classification methods using Machine Learning and Deep Learning Models to perform NLP Tasks.
TrickyApi
Trying the My JSON Server online service of jsonplaceholder.