ML.NET
An open-source, cross-platform machine learning framework for .NET developers to build, train, and deploy custom ML models.
What is ML.NET?
ML.NET is an open-source, cross-platform machine learning framework for .NET. It allows developers to build, train, deploy, and consume custom machine learning models directly within .NET applications, eliminating the need for Python or R expertise. The framework supports various ML scenarios like classification, forecasting, and anomaly detection, with built-in algorithms and data transformation capabilities.
.NET developers and teams who want to integrate machine learning into their applications without leaving the .NET ecosystem or learning new programming languages. It's ideal for those building predictive features, data analysis tools, or AI-enhanced software in C# or F#.
Developers choose ML.NET for its deep integration with .NET, allowing them to leverage existing skills and tooling. Its ability to consume TensorFlow and ONNX models provides flexibility, while cross-platform support ensures deployment across Windows, Linux, and macOS environments.
Overview
ML.NET is an open source and cross-platform machine learning framework for .NET.
Use Cases
Best For
- Adding sentiment analysis or text classification to .NET web applications
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