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G.S. Brykin The System.AI Project: Fully Managed Cross-Platform Machine Learning and Data Analysis Stack for .NET Ecosystem |
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Abstract.
In recent years, machine learning technologies have become increasingly popular in widespread tasks such as image stylization, black-and-white image coloring, super-resolution of images, fake data searching, voice and image recognition. In this regard, there is a need to implement a set of tools for integrating artificial intelligence systems into applications for mobile devices, smart home devices, and home PCs. The paper describes a solution that allows developers to integrate data analysis and machine learning systems directly into a user application, which will allow to produce a lightweight, portable, and cross-platform monolithic application, which is often not possible with existing solutions. The main features of the proposed solution are the focus on the Microsoft .NET [1] ecosystem and the use of exclusively standard features of BCL and C# programminglanguage. The implemented package of tools is completely cross-platform and hardware independent. The API is similar in many ways to its Python counterparts, which allows to quickly migrate Python codes into a .NET project.
Keywords:
machine Learning, Data Analysis, .NET Framework, Mono [2], Xamarin [3], .NET Core [1], .NET Standard [1], Managed Code.
PP. 64-72.
DOI: 10.14357/20790279230108
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