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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SubmitAI Emissions Scenario Generator
ProceduralFranceUploaded on Oct 25, 2024Online tool for estimating the carbon emissions generated by AI model usage.
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Related lifecycle stage(s)
Plan & designITU-T L.1305 - Data centre infrastructure management system based on big data and artificial intelligence technology
ProceduralUploaded on Jul 2, 2024This Recommendation describes specifications of a data centre infrastructure management (DCIM) system based on big data and artificial intelligence (AI) technology.
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ITU-T F.748.12 - Deep learning software framework evaluation methodology
ProceduralUploaded on Jul 2, 2024Evaluating deep learning software frameworks to help manufactures take full advantage of certain frameworks and avoid the disadvantages of others.
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ITU-T L Supplement 42 - Guidelines on the environmental efficiency of machine learning processes in supply chain management
ProceduralUploaded on Jul 2, 2024This guidance document is intended to support machine learning (ML) researchers and operators to measure and improve the environmental efficiency of ML, artificial intelligence (AI) and other emerging technologies use in supply chain management.
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IEEE 2937-2022 - IEEE Standard for Performance Benchmarking for Artificial Intelligence Server Systems
ProceduralUploaded on Jul 2, 2024Formal methods for the performance benchmarking for AI server systems are provided in this standard, including approaches for test, metrics, and measure
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BS EN ISO/IEC 15067-3-51 - Information technology. Home Electronic System (HES) application model. Part 51. Framework of a Protected On-Premises Narrow AI Engine for an Energy Management System using Energy Management Agents (EMAs)
ProceduralUploaded on Jul 2, 2024This standard specifies a framework for adding artificial intelligence (AI) functions to support the energy management agent (EMA) specified in ISO/IEC for EMAs located on customer premises.
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ISO/IEC 15938-17:2022 - Information technology. Multimedia content description interface. Part 17. Compression of neural networks for multimedia content description and analysis
ProceduralUploaded on Jul 2, 2024This document specifies Neural Network Coding (NNC) as a compressed representation of the parameters/weights of a trained neural network and a decoding process for the compressed representation, complementing the description of the network topology in existing (exchange) formats for neural networks.
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ITU-T M.3381 - Requirements for energy saving management of 5G radio access network (RAN) systems with artificial intelligence (AI)
ProceduralUploaded on Jul 1, 2024Recommendation ITU-T M.3381 provides requirements for energy saving management of a 5G radio access network (RAN) system with artificial intelligence (AI).
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ITU-T L Supplement 41 - Requirements on energy efficiency measurement models and the role of artificial intelligence and big data
Uploaded on Jul 1, 2024This Supplement aims to investigate appropriate models to evaluate urban energy efficiency with a special focus on the emerging adoption of AI and big data.
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ITU-T L Supplement 43 - Smart energy saving of 5G base stations: Traffic forecasting and strategy optimization of 5G wireless network energy consumption based on artificial intelligence and other emerging technologies
ProceduralUploaded on Jun 28, 2024This tool examines energy-saving technology for fifth generation (5G) base stations (BSs).
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yopo-you-only-propagate-once
TechnicalUnited StatesUploaded on Apr 22, 2024Code for our nips19 paper: You Only Propagate Once: Accelerating Adversarial Training Via Maximal Principle
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Operate & monitorDeployVerify & validateBuild & interpret modelCollect & process dataPlan & designxlearn
TechnicalChinaUploaded on Apr 22, 2024High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.
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whisper-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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tensorrt
TechnicalUnited StatesUploaded on Apr 2, 2024NVIDIA® 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.
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smartbin
TechnicalSingaporeUploaded on Apr 2, 2024Spring 2018 - 10.009 Digital World 1D Project
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Build & interpret modelKotlinDL: 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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EfficientFormerV2
TechnicalUploaded on Dec 15, 2023EfficientFormerV2 [ICCV 2023] & EfficientFormer [NeurIPs 2022]
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Operate & monitorDeployVerify & validateBuild & interpret modelCollect & process dataPlan & designrecycle
TechnicalPhilippinesUploaded on Dec 15, 2023Created recycling data set to test transfer learning for classification and object detection of recycling (glass bottles, metal cans and plastic bottles)
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Optuna: A hyperparameter optimization framework
TechnicalUploaded on Dec 11, 2023A hyperparameter optimization framework
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NVIDIA Deep Learning Examples for Tensor Cores
TechnicalUnited StatesUploaded on Dec 11, 2023State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
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Related lifecycle stage(s)
Operate & monitorDeployVerify & validateBuild & interpret modelCollect & process dataPlan & design