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.

Overview Tools Metrics About the catalogue

Optuna: A hyperparameter optimization framework

Github

Optuna is an automatic hyperparameter optimization software framework, particularly designed for machine learning. It features an imperative, define-by-run style user API. Thanks to our define-by-run API, the code written with Optuna enjoys high modularity, and the user of Optuna can dynamically construct the search spaces for the hyperparameters.

About the tool

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Tool type(s):

Toolkit/software

Objective(s):

Performance
Robustness

Lifecycle stage(s):

Deploy
Verify & validate
Build & interpret model

Type of approach:

Technical

Maturity:

Implemented in multiple projects
In development

Usage rights:

Other

License:

Other

Target users:

Developer

Programming languages:

Python
Shell
Dockerfile
Mako

Github stars:

8854

Github forks:

Modify this tool

Use Cases

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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.