Top 20 NuGet learning Packages

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.

ML.NET component for pretrained ResNet50 image featurization

ML.NET component for pretrained ResNet18 image featurization

ML.NET component for pretrained ResNet101 image featurization

ML.NET component for pretrained AlexNet image featurization

ML.NET component for a statically typed API.

A simple machine learning program that allows you to use and save weights and biases as CSV files. WARNING: This was created as a learning exercise. It works, but is very brittle.

Sample utils for Microsoft.ML.Samples

ML.NET components for Apache Parquet support.

Package Description

SDK for the Indico API

Package Description