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

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Origin

Scope

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Objective Reskill or upskill

TechnicalUnited StatesUploaded on Apr 22, 2024
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

Objective(s)

Related lifecycle stage(s)

Build & interpret model

TechnicalUnited KingdomUploaded on Apr 22, 2024
Tutorials, assignments, and competitions for MIT Deep Learning related courses.

TechnicalFinlandUploaded on Apr 22, 2024
Jupyter notebooks for teaching/learning Python 3

Objective(s)

Related lifecycle stage(s)

Build & interpret model

TechnicalSpainUploaded on Apr 22, 2024
Classical equations and diagrams in machine learning

TechnicalGreeceUploaded on Apr 22, 2024
Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications

TechnicalUnited StatesUploaded on Apr 22, 2024
NVIDIA® TensorRT™, an SDK for high-performance deep learning inference, includes a deep learning inference optimizer and runtime that delivers low latency and high throughput for inference applications.

Objective(s)

Related lifecycle stage(s)

Build & interpret modelPlan & design

TechnicalUploaded on Apr 2, 2024
A Python package for identifying 42 kinds of animals, training custom models, and estimating distance from camera trap videos

Objective(s)

Related lifecycle stage(s)

Build & interpret model

TechnicalUnited StatesUploaded on Apr 2, 2024
Code for our nips19 paper: You Only Propagate Once: Accelerating Adversarial Training Via Maximal Principle

Objective(s)

Related lifecycle stage(s)

Build & interpret model

TechnicalUnited StatesUploaded on Apr 2, 2024
YoloV3 Implemented in Tensorflow 2.0

Objective(s)

Related lifecycle stage(s)

Build & interpret model

TechnicalUploaded on Apr 2, 2024
The open big data serving engine. https://vespa.ai

TechnicalUnited StatesUploaded on Apr 2, 2024
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite

TechnicalUploaded on Apr 2, 2024
trustworthy AI related projects

Objective(s)


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

TechnicalUnited StatesUploaded on Apr 2, 2024
Debugging, monitoring and visualization for Python Machine Learning and Data Science

Objective(s)

Related lifecycle stage(s)

Build & interpret modelPlan & design

TechnicalUploaded on Apr 2, 2024
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

Objective(s)

Related lifecycle stage(s)

Build & interpret model

TechnicalUnited StatesUploaded on Apr 2, 2024
:satellite: Simple and ready-to-use tutorials for TensorFlow

Objective(s)

Related lifecycle stage(s)

Collect & process data

EducationalUploaded on Mar 14, 2024
Teeny-Tiny Castle is a collection of tutorials on how to use tools for AI Ethics and Safety research.

TechnicalChinaUploaded on Dec 15, 2023
Text classification models implemented in Keras, including: FastText, TextCNN, TextRNN, TextBiRNN, TextAttBiRNN, HAN, RCNN, RCNNVariant, etc.

Objective(s)

Related lifecycle stage(s)

Build & interpret model

TechnicalUploaded on Dec 15, 2023
Repository for PyImageSearch Crash Course on Computer Vision and Deep Learning

Objective(s)

Related lifecycle stage(s)

Verify & validateBuild & interpret model

TechnicalUnited StatesUploaded on Dec 15, 2023
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

Objective(s)

Related lifecycle stage(s)

Build & interpret model

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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.