ML.NET is a cross-platform open-source machine learning (ML) framework for .NET. ML.NET allows developers to easily build, train, deploy, and consume custom models in their .NET applications without ...
The purpose of this research is to provide a baseline understanding of how and where PSTs’ understandings of dyslexia originate to inform teacher educators about sources of misconceptions and to ...
Material Components for the web are architected to be adaptable to various major web frameworks. The following wrapper libraries are available: Material Web Components: MDC Web integration for Web ...
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