machine learning

Welcome to the "AI_Course_Template" - the basic repository template for students enrolled in the Artificial Intelligence course in the Department of Computer Science. This repository is designed to provide a standardized structure and set of guidelines for student projects, facilitating organized development, easy navigation, and consistent documentation.

Key Features:

Structured directory: Includes predefined folders for data (both raw and processed), source code, tests, and documentation, ensuring a clean and organized project workspace.

Comprehensive README Template: A guide to help students effectively document their project overview, goals, installation process, data descriptions, usage instructions, and contribution guidelines.

Resource Hub: Serves as a central location for essential resources, reference materials, and project-specific instructions.

Collaboration Ready: Configured to support collaborative projects, encouraging students to work together efficiently and share their progress.

Purpose:

This template is designed to streamline the project setup process, allowing students to focus more on the innovative aspects of AI and machine learning, rather than the initial setup and organization. By following this template, students will learn the importance of project organization, clear documentation, and consistent coding practices that are essential for any aspiring AI professional.

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(Front-End) Mobile application developed through the use of artificial intelligence to automatically generate school assignments, only giving a few specific parameters to generate the document to be exported in PDF.

✭ MAGNETRON ™ ✭: The official Exploit Database repository

Spyros Mouselinos Reasearch Blog

A ruby library for interacting with compute devices.

This project is about machine learning for business.

Patrick but better.

Frontend - IMT Lille Douai school project - Mobile app communicating with a Django REST API combined with a conventional neural network in order to analyses pictures.

The website of SkyAI : https://skyai.gitlab.io/