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.

Type

Origin

Scope

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TechnicalUnited StatesUploaded on Apr 18, 2024
An end-to-end model risk management platform that automates model documentation and dramatically simplifies AI model validation.

TechnicalUploaded on Apr 18, 2024
Tool to scrape local business data from Google Maps

Objective(s)


TechnicalProceduralIsraelUploaded on Apr 11, 2024
Citrusx offers a multifaceted solution to connect all stakeholders in the company through an SDK, user-friendly UI, and automated reporting system.

TechnicalUploaded on Apr 2, 2024
Deep learning library featuring a higher-level API for TensorFlow.

TechnicalUnited StatesUploaded on Apr 2, 2024
A toolkit for making real world machine learning and data analysis applications in C++

TechnicalUnited KingdomUploaded on Apr 2, 2024
Ready-to-run Docker images containing Jupyter applications

TechnicalUnited StatesUploaded on Apr 2, 2024
FinRL: Financial Reinforcement Learning.



TechnicalUnited KingdomUploaded on Apr 2, 2024
OpenFace – a state-of-the art tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation.

TechnicalJapanUploaded on Apr 2, 2024
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

Related lifecycle stage(s)

Plan & design

TechnicalUnited StatesUploaded on Apr 2, 2024
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

TechnicalUnited StatesUploaded on Apr 2, 2024
Open-source large language models that run locally on your CPU and nearly any GPU.


TechnicalUnited StatesUploaded on Apr 2, 2024
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

TechnicalUploaded on Apr 2, 2024
Investment Research for Everyone, Everywhere.


TechnicalUnited StatesUploaded on Apr 2, 2024
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

TechnicalUploaded on Apr 2, 2024
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

TechnicalUnited StatesUploaded on Apr 2, 2024
Multi-user server for Jupyter notebooks

Related lifecycle stage(s)

Plan & design

catalogue Logos

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.