
Holistic framework for AI in critical network infrastructures
This document establishes the main foundations of the AI4REALNET project, in particular, the following key outcomes: - The formal specification of domain-specific use cases (UCs), replicating real-world operating scenarios involving human operator

gnntf: A Flexible Deep Graph Neural Network Framework
This repository provides a framework for easy experimentation with Graph Neural Network (GNN) architectures by separating them from predictive components.

Decentralized-gnn
A package for implementing and simulating decentralized Graph Neural Network algorithms for classification of peer-to-peer nodes.

PandA: Unsupervised learning of parts and appearances in the feature maps of GANs
We propose an architecture-agnostic approach that jointly discovers factors representing spatial parts and their appearances in an entirely unsupervised fashion.

Teachable Machine
This web-based tool is an easy way to create machine learning models for your sites, apps with no coding knowledge required.

Bee-Bot
Bee-Bot is an exciting robot designed specifically for use by young children. It is a perfect tool for teaching control, directional language and programming, sequencing, estimation, problem-solving, and just having fun!