Catalogue of Tools & Metrics for Trustworthy AI

These tools and metrics are designed to help AI actors develop and use trustworthy AI systems and applications that respect human rights and are fair, transparent, explainable, robust, secure and safe.

OverviewToolsMetricsAbout the catalogue
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Adversarial autoencoders

Github

Adversarial autoencoders

About the tool

You can click on the links to see the associated tools

Tool type(s):

Objective(s):

Purpose(s):

Country of origin:

Lifecycle stage(s):

Type of approach:

Maturity:

Usage rights:

License:

Target users:

Programming languages:

Github stars:

  • 419

Github forks:

  • 119

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Disclaimer: The tools and metrics featured herein are solely those of the originating authors and are not vetted or endorsed by the OECD or its member countries. The Organisation cannot be held responsible for possible issues resulting from the posting of links to third parties' tools and metrics on this catalogue. More on the methodology can be found at https://oecd.ai/catalogue/faq.