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Infer.NET
Infer.NET runs Bayesian inference in graphical models for a range of machine learning problems.

About Infer.NET
Infer.NET is a framework for running Bayesian inference in graphical models. It can also be used for probabilistic programming and to solve machine learning problems such as classification, recommendation, and clustering, as well as customized domain-specific problems. The homepage says it has been used in information retrieval, bioinformatics, epidemiology, vision, and other domains. According to the homepage, it is published as open source on GitHub under the MIT license and is available as NuGet packages. Pricing is not stated.
Key features
- Runs Bayesian inference in graphical models.
- Supports probabilistic programming.
- Solves classification, recommendation, and clustering problems.
- Supports customized solutions to domain-specific machine learning problems.
- Published as open source on GitHub under MIT license, per homepage.
- Available as NuGet packages.
- Homepage states it is open source on GitHub under the MIT license.
- Available as NuGet packages.
- Can address standard and custom domain-specific machine learning problems.
Infer.NET at a glance
- Website
- dotnet.github.io/infer
- Type
- Website
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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