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Generative AI platform that offers you a complete and secure ecosystem, designed to be accessible by all your teams.

Lien vers le site : https://class-code.gitlab.io/iagenerative/

Le parcours IAGenerative est un parcours de ressources éducatives en ligne pour expérimenter, questionner et se questionner autour des IA et surtout des IA génératives. Ces ressources ont pour vocation d’explorer le fonctionnement des IA, leurs enjeux et leurs limitations ainsi que leurs usages professionnels. Ces ressources sont destinées à un public d'enseignants, de formateurs, d'éducateurs, de médiateurs ou d'animateurs, mais aussi plus largement au grand public pour toute personne intéressée de découvrir ou de se perfectionner autour des IA génératives.

This repository contains the official documentation, specifications, and architectural records for the GrowGood platform.

GrowGood is an open-source software platform designed to support regenerative agriculture, from small-scale home gardeners to larger commercial operations. It leverages standards like ValueFlows and JSON-LD to create an interoperable ecosystem for tracking resources, processes, and economic activity.

Here you will find our Architectural Decision Records (ADRs), API and database specifications, UI/UX design documents, user scenarios, and future roadmap. This repository is the single source of truth for the GrowGood project.

Code and model for the paper "Improving Language Understanding by Generative Pre-Training"

The Autonomous Network Agent is a generative AI agent that illustrate how a telecommunication operator can leverage highly scalable GCP technologies (like Gemini, GKE, Spanner Graph,...) to plan, build and operate network services in a fully automated way.

Comprehensive hands-on labs and code samples for the Build with Google AI workshop series. Learn to integrate Gemini API, Vertex AI, and Generative AI into real-world applications.

A DuckDB database and supporting code for generating Greek meander inspired generative designs.

Frontend extension for a community-based reporting system to identify generative AI content.

Generative UI Workbench - Next.js + CopilotKit + ADK

The Magiconic project provides generative models conducting both visual data and language data like vision language model.

AVA - Adversarial Variational Autoencoders to extend and improve generative model.

AI Image Renamer is a Python CLI tool that leverages generative artificial intelligence to rename your images based on what the image shows.

The goal of the project is to implement a simple generative image model. First, we study StyleGAN v1, and after examining its limitations, we move on to a simple DiT.

The goal of the project is to implement a DiT-B generative image model.