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With ML.NET, you can create custom ML models using C# or F# without having to leave the .NET ecosystem. ML.NET lets you re-use all the knowledge, skills, code, and libraries you already have as a .NET developer so that you can easily integrate machine learning into your web, mobile, desktop, games, and IoT apps. ML.NET offers Model Builder (a simple UI tool) and ML.NET CLI to make it super easy to build custom ML Models. These tools use Automated ML (AutoML), a cutting edge technology that automates the process of building best performing models for your Machine Learning scenario. ...

You can now find us at https://linksmart.eu -- along with files for download, repositories for code, forums for support, and wikis for documentation.

Otter Unit Test Framework is a tool which performs automated Unit Test in .NET 4,0 or above applications. It works similarly to the JUnit and it used as part of the application being tested, in MS Web or C# Developer 2010. Older versions (00.05 and below) were developed for MS Visual Studio 2005 and can still be downloaded. For them, a MS Visual Studio Plugin was developed and in the project´s home page you can find its documentation.

Framework for making Windows applications that are one .exe file in AutoHotKey_L,C++,C#, VB.NET,Java,Groovy,Common Lisp,Nemerle,Ruby,Python,PHP,Lua,Tcl,Perl,Jint,S#,WSH VBScript,HTML/JavaScript/CSS,COM, PowerShell without compiling . For .NET 4.

Development framework for implementing desktop/web applications directly from use case scenarios. Generalization, inclusion and extension relations between use cases are also supported by the framework.

Yandex.NET.Translator is a .NET library for Yandex.Translate web service (http://api.yandex.ru/translate), used for text translation. NuGet package : https://www.nuget.org/packages/Yandex.Translator