dotnet/infer

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1615 stars · 241 forks observed · 2026-10-12

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Infer.NET is a .NET framework for running Bayesian inference in graphical models, also usable for probabilistic programming. It compiles model descriptions written via its API into inference code and ships as cross-platform NuGet packages.

Use cases

• run bayesian inference on graphical models in .NET
• build a classifier in C#
• build a recommender system with probabilistic modeling
• cluster data with mixture of gaussians
• write probabilistic programs for custom machine learning models
• solve domain-specific inference problems in bioinformatics or epidemiology

When to choose

• you work in the .NET ecosystem and need probabilistic/Bayesian modeling
• you need custom graphical models rather than off-the-shelf ML
• you want a mature MIT-licensed inference framework with cross-platform NuGet packages

When to avoid

• you need deep learning or GPU-accelerated training
• your stack is Python-first and PyMC/Pyro/NumPyro would suffice
• you need a rapidly evolving project with frequent releases

Facets

framework · maturity maintenance

machine-learning data-science machine-learning data-science dotnet cross-platform windows bayesian-inference probabilistic-programming graphical-models csharp algorithms linux macos

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