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ML.NET Samples
ML.NET is a cross-platform open-source machine learning framework that makes machine learning accessible to .NET developers.
ML.NET samples are divided in three categories:
- Getting started - basic "hello world" samples for each ML task.
- Examples - examples of how you can use various ML.NET components (learners, transforms, ...).
- End-to-end apps - real world examples of web, desktop, mobile, and other applications infused with ML solutions via ML.NET APIs.
All samples in this repo are using the latest released Microsoft.ML NuGet package. If you would like to see the examples referencing the source code, check out scenario tests in ML.NET repository.
Learn more
See ML.NET Guide for detailed information on tutorials, ML basics, etc.
API reference
Check out the ML.NET API Reference to see the breadth of APIs available.
Contributing
We welcome contributions! Please review our contribution guide.
Community
Please join our community on Gitter 
This project has adopted the code of conduct defined by the Contributor Covenant to clarify expected behavior in our community. For more information, see the .NET Foundation Code of Conduct.
License
ML.NET Samples are licensed under the MIT license.