Displaying 32 resources
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Tutorial/How To/Guides Tutorial/How To/Guides

AI Fairness 360 (AIF360)

A GitHub repository for AIF360. The AI Fairness 360 toolkit is an extensible open-source library containing techniques developed by the research community to help detect and mitigate bias in machine learning models throughout the AI application lifec
Category
Other
Target audience
Other
Source
Adra-e
Software resources Software resources
Tutorial/How To/Guides Tutorial/How To/Guides

What-If Tool

A GitHub repository for the What-If Tool. The What-If Tool (WIT) provides an easy-to-use interface for expanding understanding of a black-box classification or regression ML model.
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
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

Decentralized-gnn

A package for implementing and simulating decentralized Graph Neural Network algorithms for classification of peer-to-peer nodes. Developed code supports the publication p2pGNN: A Decentralized Graph Neural Network for Node Classification i
Category
System architectures, Technology methodologies and landscape
Target audience
ADR Experts and Associations, Researchers and Academic
Source
Adra-e
Software resources Software resources

JGNN library for native Java implementation of graph neural networks

Graph Neural Networks (GNNs) have seen a dramatic increase in popularity thanks to their ability to understand relations between graph nodes.
Category
Technology methodologies and landscape
Target audience
ADR Experts and Associations, Researchers and Academic
Source
Adra-e