Top 20 NuGet bayesian Packages

Provides optimization algorithms.
A lightweight, linq-friendly inference library for .NET
Infer.NET is a framework for creating custom solutions to machine learning problems by running Bayesian inference on probabilistic graphical models.
A simple implementation of a naive Bayesian classifier for textual data.
Particle Filters
Kalman Filters
Infer.NET is a framework for running Bayesian inference in graphical models. It can also be used for probabilistic programming. This package contains visualization tools for exploring and analyzing models on Windows platform.
Infer.NET is a framework for running Bayesian inference in graphical models. It can also be used for probabilistic programming. This package contains complete machine learning applications including a classifier and a recommender system.
Infer.NET is a framework for running Bayesian inference in graphical models. It can also be used for probabilistic programming. This package contains the Infer.NET Compiler, which takes model descriptions written using the Infer.NET API and converts them into inference code.
Infer.NET is a framework for running Bayesian inference in graphical models. It can also be used for probabilistic programming. This package contains classes and methods needed to execute the inference code.
Infer.NET is a framework for running Bayesian inference in graphical models. It can also be used for probabilistic programming. This package contains visualization tools for exploring and analyzing models on Windows platform.