Displaying 15 resources
Software resources

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.

Category
Sandboxes and Testbeds
Target audience
ADR Experts and Associations, Researchers and Academic
Software resources

Decentralized-gnn

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

Category
System architectures, Technology methodologies and landscape
Target audience
ADR Experts and Associations, Researchers and Academic
Software resources

CO2A – Contrastive Conditional domain Alignment

A novel unsupervised domain adaptation approach for action recognition from videos, inspired by recent literature on contrastive learning.

Category
Multi-modal interaction, Sensing of motion and mechanical properties
Target audience
ADR Experts and Associations, Researchers and Academic
Software resources

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.

Category
System architectures
Target audience
ADR Experts and Associations, Researchers and Academic

Teachable Machine

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

Category
Sandboxes and Testbeds
Target audience
Individual Citizens/Members of the Society, Researchers and Academic
Professional development resources for teachers/educators

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!

Category
Sandboxes and Testbeds
Target audience
Individual Citizens/Members of the Society, Researchers and Academic