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
SUBMIT A TOOL
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SUBMITITU-R BT.2447-2/ITU-R BT.2447 - Artificial intelligence systems for programme production and exchange
ProceduralUploaded on Jul 2, 2024New broadcasting technologies driven by artificial intelligence (AI) are being introduced to the broadcasting workflow. This Report discusses current applications and efforts underway and evaluated that are relevant to broadcast programme and production pathway.
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ITU-T Y.3531 - Cloud computing - Functional requirements for machine learning as a service
ProceduralUploaded on Jul 2, 2024This Recommendation provides system context, functional requirements and use cases for machine learning as a service (MLaaS).
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DVMS NIST Cybersecurity Framework Overlay System
EducationalUploaded on Jul 11, 2024<1 weekThe DVMS NIST Cybersecurity Framework Overlay System (DVMS NIST-CSF) provides organizations of any size, scale, or complexity an affordable way to mitigate cybersecurity risk to assure digital business performance, resilience & trust
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Advai Advance
EducationalUnited KingdomUploaded on Jun 5, 2024Advai Advance is a tool to help organisations understand their AI capabilities securely and responsibly. The process mirrors a comprehensive auditing phase, giving organisations insights into their current state and actionable steps to enhance their AI capabilities.
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Plan & designyolov3-tf2
TechnicalUnited StatesUploaded on Apr 22, 2024YoloV3 Implemented in Tensorflow 2.0
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wildbook
TechnicalUnited StatesUploaded on Apr 22, 2024Wild Me's first product, Wildbook supports researchers by allowing collaboration across the globe and automation of photo ID matching
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Related lifecycle stage(s)
Operate & monitorDeployVerify & validateBuild & interpret modelCollect & process dataPlan & designwhisper-jax
TechnicalUnited KingdomUploaded on Apr 22, 2024JAX implementation of OpenAI's Whisper model for up to 70x speed-up on TPU.
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traingenerator
TechnicalGermanyUploaded on Apr 2, 2024🧙 A web app to generate template code for machine learning
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tflearn
TechnicalUploaded on Apr 2, 2024Deep learning library featuring a higher-level API for TensorFlow.
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Operate & monitorDeployVerify & validateBuild & interpret modelCollect & process dataPlan & designstanford-tensorflow-tutorials
TechnicalPhilippinesUploaded on Apr 2, 2024This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
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Build & interpret modelseq2seq-signal-prediction
TechnicalCanadaUploaded on Apr 2, 2024Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier
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Build & interpret modelTeeny-Tiny Castle
EducationalUploaded on Mar 14, 2024Teeny-Tiny Castle is a collection of tutorials on how to use tools for AI Ethics and Safety research.
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Text classification Keras
TechnicalChinaUploaded on Dec 15, 2023Text classification models implemented in Keras, including: FastText, TextCNN, TextRNN, TextBiRNN, TextAttBiRNN, HAN, RCNN, RCNNVariant, etc.
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Build & interpret modelPyImageSearch CV/DL CrashCourse
TechnicalUploaded on Dec 15, 2023Repository for PyImageSearch Crash Course on Computer Vision and Deep Learning
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robuststl
TechnicalKoreaUploaded on Dec 15, 2023Unofficial Implementation of RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series (AAAI 2019)
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Pixel-Perfect Structure-from-Motion
TechnicalSwitzerlandUploaded on Dec 15, 2023Pixel-Perfect Structure-from-Motion with Featuremetric Refinement (ICCV 2021, Best Student Paper Award)
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Related lifecycle stage(s)
Verify & validateBuild & interpret modelCollect & process dataPlan & designBuilding ML Powered Applications
TechnicalUnited StatesUploaded on Dec 15, 2023Companion repository for the book Building Machine Learning Powered Applications.
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KotlinDL: High-level Deep Learning API in Kotlin
TechnicalUploaded on Dec 15, 2023High-level Deep Learning Framework written in Kotlin and inspired by Keras
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Interpretable machine learning
TechnicalGermanyUploaded on Dec 15, 2023Book about interpretable machine learning.
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reinforcement-learning-with-tensorflow
TechnicalUploaded on Dec 15, 2023Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
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