Infer.NET is a .NET library for machine learning. It provides state-of-the-art algorithms for probabilistic inference from data. Various Bayesian models such as Bayes Point Machine classifiers, TrueSkill matchmaking, hidden Markov models, and Bayesian networks can be implemented using Infer.NET.
Infer.NET is open source software under the MIT license.
For more information about Infer.NET including documentation and examples please see the main Infer.NET page.
People
People
Tom Minka
Senior Principal Researcher
John Winn
Senior Principal Researcher
Yordan Zaykov
Principal Research Engineering Manager
Sam Webster
Senior Software Development Engineer
Dany Fabian
Principal Research Software Development Engineer
Pavel Myshkov
Research SDE