Infer.NET is a framework for running Bayesian inference in graphical models.
A challenge for most of us is simply wanting to work out the odds of something happening in a game or an app..
Well here a nice technical solution from Microsoft Research to help with answering that challenge..
Welcome to Infer.NET
Infer.NET is a framework for running Bayesian inference in graphical models. It can also be used for probabilistic programming as shown in this video.
You can use Infer.NET to solve many different kinds of machine learning problems, from standard problems like classification, recommendation or clustering through to customised solutions to domain-specific problems.
Infer.NET SDK Download:
https://research.microsoft.com/en-us/downloads/710cd61f-3587-44f4-b12d-a2c75722c4f6/
NuGet (Compiler and Runtime binaries only):
https://www.nuget.org/packages/Microsoft.Research.InferNET/
Website (everything you need to know about Infer.NET):
https://research.microsoft.com/infernet
Infer.NET is a framework for probabilistic programming and running Bayesian inference in graphical models.
Getting Started
Introduction: https://research.microsoft.com/infernet/docs/InferNet_Intro.pdf
Blog : https://blogs.msdn.com/b/infernet_team_blog/
101: https://research.microsoft.com/infernet/docs/InferNet101.pdf
User Guide: https://research.microsoft.com/en-us/um/cambridge/projects/infernet/docs/default.aspx