Audience

.NET developers searching for a tool to incorporate machine learning capabilities into their applications using familiar languages and tools

About ML.NET

ML.NET is a free, open source, and cross-platform machine learning framework designed for .NET developers to build custom machine learning models using C# or F# without leaving the .NET ecosystem. It supports various machine learning tasks, including classification, regression, clustering, anomaly detection, and recommendation systems. ML.NET integrates with other popular ML frameworks like TensorFlow and ONNX, enabling additional scenarios such as image classification and object detection. It offers tools like Model Builder and the ML.NET CLI, which utilize Automated Machine Learning (AutoML) to simplify the process of building, training, and deploying high-quality models. These tools automatically explore different algorithms and settings to find the best-performing model for a given scenario.

Pricing

Starting Price:
Free
Free Version:
Free Version available.

Integrations

Ratings/Reviews

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Company Information

Microsoft
Founded: 1975
United States
dotnet.microsoft.com/en-us/apps/ai/ml-dotnet

Videos and Screen Captures

ML.NET Screenshot 1
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Product Details

Platforms Supported
Windows
Mac
Linux
On-Premises
Training
Documentation
Webinars
In Person
Videos
Support
Phone Support
Online

ML.NET Frequently Asked Questions

Q: What kinds of users and organization types does ML.NET work with?
Q: What languages does ML.NET support in their product?
Q: What kind of support options does ML.NET offer?
Q: What other applications or services does ML.NET integrate with?
Q: What type of training does ML.NET provide?
Q: How much does ML.NET cost?

ML.NET Product Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Templates
Visualization
Statistical / Mathematical Tools