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-T F.749.4 - Use cases and requirements for multimedia communication enabled vehicle systems using artificial intelligence
Uploaded on Apr 23, 2024This Recommendation specifies use cases and requirements for multimedia communication enabled vehicle systems using artificial intelligence, including overview, use cases, high-layer architecture, service and network requirements, functional requirements, and non-functional requirements.
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mit-deep-learning
TechnicalUnited KingdomUploaded on Apr 22, 2024Tutorials, assignments, and competitions for MIT Deep Learning related courses.
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Operate & monitorDeployVerify & validateBuild & interpret modelCollect & process dataPlan & designlearn-python3
TechnicalFinlandUploaded on Apr 22, 2024Jupyter notebooks for teaching/learning Python 3
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Build & interpret modelmachine-learning-cheat-sheet
TechnicalSpainUploaded on Apr 22, 2024Classical equations and diagrams in machine learning
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Operate & monitorDeployVerify & validateBuild & interpret modelCollect & process dataPlan & designpyaudioanalysis
TechnicalGreeceUploaded on Apr 22, 2024Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications
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Operate & monitorDeployVerify & validateBuild & interpret modelCollect & process dataPlan & designzamba
TechnicalUploaded on Apr 2, 2024A Python package for identifying 42 kinds of animals, training custom models, and estimating distance from camera trap videos
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Build & interpret modelyopo-you-only-propagate-once
TechnicalUnited StatesUploaded on Apr 2, 2024Code for our nips19 paper: You Only Propagate Once: Accelerating Adversarial Training Via Maximal Principle
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Build & interpret modelyolov3-tf2
TechnicalUnited StatesUploaded on Apr 2, 2024YoloV3 Implemented in Tensorflow 2.0
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Build & interpret modelvespa
TechnicalUploaded on Apr 2, 2024The open big data serving engine. https://vespa.ai
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Operate & monitorDeployVerify & validateBuild & interpret modelCollect & process dataPlan & designultralytics
TechnicalUnited StatesUploaded on Apr 2, 2024NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
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Operate & monitorDeployVerify & validateBuild & interpret modelCollect & process dataPlan & designtflearn
TechnicalUploaded on Apr 2, 2024Deep learning library featuring a higher-level API for TensorFlow.
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tensorwatch
TechnicalUnited StatesUploaded on Apr 2, 2024Debugging, monitoring and visualization for Python Machine Learning and Data Science
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tensorpack
TechnicalUploaded on Apr 2, 2024A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
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Build & interpret modeltensorflow-course
TechnicalUnited StatesUploaded on Apr 2, 2024:satellite: Simple and ready-to-use tutorials for TensorFlow
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Collect & process dataDisability-Centered AI And Ethics MOOC
EducationalUploaded on Apr 2, 2024<1 hourApproaches to disability-centered data, models, systems oversight
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Living guidelines on the responsible use of Generative AI in research
ProceduralUploaded on Mar 26, 2024These guidelines focus on one particular area of AI used in the research process, namely generative Artificial Intelligence. There is an important step to prevent misuse and ensure that generative AI plays a positive role in improving research practices.
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SAIF CHECK
ProceduralSaudi ArabiaUploaded on Mar 26, 2024LLM Survey for responsible and transparent and safe AI covering international compliance regulations and data/ model evaluations
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Responsible AI Governance Framework for boards
ProceduralUnited KingdomUploaded on Feb 20, 2024This Responsible AI Governance framework (2024) provides Boards with signposts to high level areas of responsibility and accountability through a checklist of twelve principles which could be at the heart of an AI governance policy. It is for Boards who wish to start their AI journey, or for those who recognize that AI governance may be mission critical since the emergence of generative AI (Gen AI) and large language models (LLMs).
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Privacy Impact Risk Assessment System for Remote Biometrics and Facial Recognition
ProceduralUnited KingdomUploaded on Feb 20, 2024Anekanta® AI’s Privacy Impact Risk Assessment System™ identifies the potential privacy impact risks which arise when using remote biometric AI systems including facial recognition technology. The system creates automated reports which recommended mitigations that consider all risks, including AI governance, human rights, union law, employment rights, privacy rights, impact assessments, prohibitions, voluntary and harmonized standards, and good practice.
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