Ross ROSS = Recommend OSS · open-source software intelligence for agents

dotnet/machinelearning-samples resource

Samples for ML.NET, an open source and cross-platform machine learning framework for .NET. observed · 2026-08-28

github.com/dotnet/machinelearning-samples · homepage · PowerShell · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

23/100

  • Activity 0
  • Release rhythm 8
  • Longevity 100
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 3022
  • days_rel: n/a
  • days_push: 767
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

4686 stars · 2672 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

The official samples repository for ML.NET, Microsoft's cross-platform machine learning framework for .NET. It contains getting-started console samples for each ML task (in C# and F#) as well as end-to-end web and desktop apps infused with ML.NET models.

Use cases

  • learn how to do sentiment analysis in C# with ML.NET
  • example code for training a machine learning model in .NET
  • spam detection sample for .NET developers
  • credit card fraud detection example with ML.NET
  • build a recommendation system in C#
  • end-to-end sample app with machine learning in .NET
  • get started with ML.NET as a beginner

When to choose

  • you are a .NET developer learning machine learning with ML.NET
  • you want copy-paste-ready C# or F# examples for common ML tasks
  • you need reference implementations of ML scenarios like classification, regression, or recommendation

When to avoid

  • you need a production machine learning framework itself rather than examples
  • you work outside the .NET ecosystem (e.g., Python, JVM)
  • you need cutting-edge deep learning research code

Facets

learning-resource · maturity active

machine-learning nlp data-science machine-learning tutorials developer-tools cross-platform windows dotnet ml.net samples csharp fsharp binary-classification sentiment-analysis recommendation anomaly-detection automl linux macos

4 sources

Member repositories

RepositoryRoleHealth v2
dotnet/machinelearning-samplesmain23

For agents

markdown · JSON · MCP: product_card(name="dotnet/machinelearning-samples")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem