C

classification

A landcover classification tool based for humans. Classifier does "traditional" supervised and unsupervised learning. Image segmentation and soon also object detection

Supervised learning pipeline for rare event operational failure prediction, integrating leakage resistant preprocessing, class weighted modeling, precision recall threshold calibration, ROC AUC benchmarking, and permutation based feature importance to analyze production stress drivers.

API FastAPI permettant d’identifier des espèces de pingouins à partir de données tabulaires optionnelles et/ou d’une image.

L’API renvoie une liste d’espèces probables avec leurs probabilités et inclut :

Classification Machine Learning (RF, KNN, LR) Fusion multimodale (tabulaire + image) Journalisation des requêtes/réponses (SQLite) Interface web pour consulter les logs Interface web pour tester les prédictions Notebooks pour exploration et entraînement

Projet réalisé dans le cadre de la formation Développeur en Intelligence Artificielle (Simplon).

Fresh Class🍎, A deep learning web application that classifies 6 types of fruits into 'Good' or 'Bad' quality using MobileNetV2 CNN. Features a Next.js frontend with real-time image classification. Team members: -Salah Eddine Berredjem -Ziad Abadlia -Tesnim Lala Bouali -Ines Goutel -Imen Kanoua -Mohamed Saber Tata

This repository contains data and code utilized for the metric-learning based classification of the “human E3 ligome”–an extensive set of catalytic human E3s–by integrating multi-layered data, including protein sequences, domain architectures, 3D structures, functions, and expression pattern. Manuscript: https://www.biorxiv.org/content/10.1101/2025.03.09.642240v1.full.pdf

对不同尺寸的交通信号灯图片做红黄绿分类

Microservice for detecting intermittent job failures from regular ones

Subject Classification of the DFG-funded project FID BAUdigital (2020-2023). The project is no longer active, but we will read and evaluate incoming issues.

Using Natural Language Processing (NLP) on job ads for applications in Econometrics.

Projet personnel de classification des maladies des feuilles d'arbre. Article technique disponible sur mon blog : https://boulayc.gitlab.io/blog/

A Live Evaluation of Computational Methods for Metagenome Investigation

An example of tabular data regression (parameter estimates) using TabNet

My attempts to solve homework from the Moscow Institute of Physics and Technology course

Collection of completed data-mining (university course) on python

Propaganda Detection in Arabic Social Media Text

[mirror] Attributes about whether foods are vegan/vegetarian for the USDA FDC FoodData database | https://v3gtb.github.io/fooddata-vegattributes/