machinelearning and ML.Test

ML.Test is an ecosystem sibling to ML.NET, likely a project or demonstration built using the core ML.NET framework for machine learning.

machinelearning

Established

ML.Test

Experimental

Maintenance 17/25

Adoption 10/25

Maturity 16/25

Community 25/25

Maintenance 10/25

Adoption 2/25

Maturity 16/25

Community 0/25

Stars: 9,331

Forks: 1,940

Downloads: —

Commits (30d): 6

Language: C#

License: MIT

Stars: 2

Forks: —

Downloads: —

Commits (30d): 0

Language: C#

License: MIT

No Package No Dependents

About machinelearning

dotnet/machinelearning

ML.NET is an open source and cross-platform machine learning framework for .NET.

This framework helps .NET developers integrate machine learning capabilities directly into their applications without needing deep ML expertise or learning other programming languages. You provide your data from files or databases, and it outputs custom models capable of tasks like predicting outcomes, categorizing data, or identifying unusual patterns. This is for software developers building applications who want to embed predictive intelligence.

software development application enhancement predictive analytics data classification forecasting

About ML.Test

BoBoBaSs84/ML.Test

Machine Learning with ML.NET

Related comparisons

machinelearning and machinelearning-samples machinelearning and System.AI machinelearning and machinelearning-samples

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