Infer.NET

Established: October 15, 2008

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

Portrait of Tom Minka

Tom Minka

Senior Principal Researcher

Portrait of John Winn

John Winn

Senior Principal Researcher

Portrait of Yordan Zaykov

Yordan Zaykov

Principal Research Engineering Manager

Portrait of Sam Webster

Sam Webster

Senior Software Development Engineer

Portrait of Dany Fabian

Dany Fabian

Principal Research Software Development Engineer

Portrait of Pavel Myshkov

Pavel Myshkov

Research SDE