Displaying 8 resources
Software resources Software resources
Tutorial/How To/Guides Tutorial/How To/Guides

What-If Tool

A GitHub repository for the What-If Tool.

Category
Reasoning and decision-making Technologies, Other
Target audience
Researchers and Academic, Other
Source
Adra-e
Software resources Software resources
Tutorial/How To/Guides Tutorial/How To/Guides

Fairlearn

Fairlearn is an open-source, community-driven project to help data scientists improve fairness of AI systems.

Category
Data for AI, Reasoning and decision-making Technologies, Other
Target audience
Researchers and Academic, Other
Source
Adra-e
Online Course Online Course

Online course on Data Spaces for Mobility

Discover the world of mobility data spaces in this online course tailored for mobility professionals with a solid background in mobility planning, operations, data, and management.

Category
Other
Target audience
Individual Citizens/Members of the Society, Researchers and Academic
Source
Adra-e
Software 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
Source
Adra-e
Software resources Software resources

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
Source
Adra-e
Professional development resources for teachers/educators 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
Source
Adra-e