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.

pytorch-forecasting



pytorch-forecasting

Search, make inferences in, and organize vectors, tensors, text and structured data, at serving time and any scale.

This repository contains all the code required to build and run all of Vespa yourself, and where you can see all development as it is happening. All the content in this repository is licensed under the Apache 2.0 license.

A new release of Vespa is made from this repository's master branch every morning CET Monday through Thursday. Build status: Vespa Build Status

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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.