Infer.NET
| Original author(s) | Microsoft Research |
|---|---|
| Developer(s) | Microsoft, .NET Foundation |
| Initial release | 2008 |
| Stable release | v0.3.1912.0403[1]
/ December 4, 2019 |
| Repository | github |
| Written in | C# |
| Operating system | Windows, macOS, Linux |
| Platform | .NET Framework, .NET Core, Mono |
| Type | Machine learning software library |
| License | MIT License |
| Website | dotnet |
Infer.NET is a free and open source .NET software library for machine learning.[2] It supports running Bayesian inference in graphical models and can also be used for probabilistic programming.
Overview
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.[3][4]
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.[4] 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.[5]
Infer.NET is used internally at Microsoft as the machine learning engine in some of their products such as Office, Azure, and Xbox.[6]
The source code is licensed under MIT License and available on GitHub.[7] It is also available as NuGet package.[8]
See also
References
- ^ https://github.com/dotnet/infer/tags
- ^ Microsoft's popular machine learning framework Infer.NET goes open source - MSPoweruser
- ^ Microsoft Open Sources Infer.NET AI Framework For Humanity
- ^ a b Microsoft open-sources Infer.NET AI code just in time for the weekend • The Register
- ^ Microsoft Wins "Patents for Humanity" Award For Infer.NET From USPTO - MSPoweruser
- ^ Microsoft open-sources Infer.Net model-based machine learning | InfoWorld
- ^ https://github.com/dotnet/infer
- ^ NuGet Gallery | Infer.Net 2.4.0
Further reading
- Knowles, D.; Parts, L.; Glass, D.; Winn, John (2010). "Modeling skin and ageing phenotypes using latent variable models in Infer.NET" (PDF).
{{cite journal}}: Cite journal requires|journal=(help) - Winn, John; Minka, Tom (2009). "Probabilistic Programming with Infer.NET".
{{cite journal}}: Cite journal requires|journal=(help) - Winn, John; Simpson, Angela; Custovic, Adnan; Y. F. Tan, Vincent (2008). "Immune System Modeling with Infer.NET" (PDF).
{{cite journal}}: Cite journal requires|journal=(help)
External links
- Infer.NET
- GitHub - dotnet/infer
- Machine Intelligence and Perception - Microsoft Research
- Infer.NET - Practical Implementation Issues and a Comparison of Approximation Techniques
| Main projects |
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| MSR Labs applied research |
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