D.4: ML.NET: Difference between revisions
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• '''Short Description''': | • '''Short Description''': | ||
Cross-platform, open-source machine learning framework for machine learning development on .NET. Can be coupled with Azure Digital Twins Core. | |||
• '''Reference, URL''': https://github.com/dotnet/machinelearning-samples | |||
• ''' | • '''Applicable Business Category''': All/Smart Industry | ||
• ''' | • '''Application in relevant Projects/Initiatives''': | ||
• ''' | • '''Asset Type''': Library | ||
• '''AI Breadth''': ML | |||
• ''' | • '''Learning Ability''': Supervised & Unsupervised learning | ||
• ''' | • '''Related technologies''': N.A. | ||
• ''' | • '''Applicable Research Area''': Integrative AI | ||
• ''' | • '''Applicable Technical Category''': Machine Learning | ||
• '''License Information''': | • '''License Information''': MIT license | ||
• '''Related to circularity and sustainability''': | • '''Related to circularity and sustainability''': Not directly | ||
• '''Audience''': | • '''Audience''': Developers | ||
Latest revision as of 10:45, 27 December 2024
• Short Description: Cross-platform, open-source machine learning framework for machine learning development on .NET. Can be coupled with Azure Digital Twins Core.
• Reference, URL: https://github.com/dotnet/machinelearning-samples
• Applicable Business Category: All/Smart Industry
• Application in relevant Projects/Initiatives:
• Asset Type: Library
• AI Breadth: ML
• Learning Ability: Supervised & Unsupervised learning
• Related technologies: N.A.
• Applicable Research Area: Integrative AI
• Applicable Technical Category: Machine Learning
• License Information: MIT license
• Related to circularity and sustainability: Not directly
• Audience: Developers
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