|Original author(s)||Microsoft Research|
v0.3.1912.0403 / December 4, 2019
|Operating system||Microsoft Windows, macOS, Linux|
|Platform||.NET Framework, .NET Core, Mono|
|Type||Machine learning software library|
Infer.NET follows a model-based approach and is used to solve different kinds of machine learning problems including standard problems like classification, recommendation or clustering, customized solutions and domain-specific problems. The framework is used in various different domains such as bioinformatics, epidemiology, computer vision, and information retrieval.
Development of the framework was started by a team at Microsoft’s research centre in Cambridge, UK in 2004. It was first released for academic use in 2008 and later open sourced in 2018. In 2013, Microsoft was awarded the USPTO’s Patents for Humanity Award in Information Technology category for Infer.NET and the work in advanced machine learning techniques.
- "dotnet/infer". GitHub.
- "Microsoft's popular machine learning framework Infer.NET goes open source".
- Bandyopadhyay, Avimanyu. "Microsoft Open Sources Infer.NET AI Framework [For Humanity]".
- Speed, Richard. "Microsoft open-sources Infer.NET AI code just in time for the weekend". www.theregister.com.
- "2013 Award Recipients". www.uspto.gov.
- "Microsoft Wins "Patents for Humanity" Award For Infer.NET From USPTO".
- Krill, Paul (October 9, 2018). "Microsoft open-sources Infer.Net model-based machine learning". InfoWorld.
- "dotnet/infer". November 3, 2020 – via GitHub.
- "Infer.Net 2.4.0". www.nuget.org.
- Knowles, D.; Parts, L.; Glass, D.; Winn, John (2010). "Modeling skin and ageing phenotypes using latent variable models in Infer.NET" (PDF). Cite journal requires
- Winn, John; Minka, Tom (2009). "Probabilistic Programming with Infer.NET". Cite journal requires
- Winn, John; Simpson, Angela; Custovic, Adnan; Y. F. Tan, Vincent (2008). "Immune System Modeling with Infer.NET" (PDF). Cite journal requires