MLNET 

An integration package for ML.NET models on scalable web apps and services.

ML.NET component for pretrained AlexNet image featurization

The Microsoft.ML.Tokenizers.Data.P50kBase includes the Tiktoken tokenizer data file p50k_base.tiktoken, which is utilized by models such as text-davinci-002

ML.NET component for pretrained ResNet101 image featurization

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.

Microsoft.ML.EntryPoints contains the ML.NET entry point API catalog.

ML.NET component for pretrained ResNet50 image featurization

ML.NET Code Generator

ML.NET component for pretrained ResNet18 image featurization

Microsoft.ML.TorchSharp contains ML.NET integration of TorchSharp.

Microsoft.ML.TensorFlow.Redist contains the TensorFlow C library version 1.13.1 redistributed as a NuGet package.

ML.NET component for exporting ONNX Models

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... More information

A .NET Core command line tool to automatically build, train, and generate an ML.NET model and consumption code.

ML.NET component for Ensembles

Microsoft.ML.Experimental contains experimental work such extension methods to access internal methods.

The Microsoft.ML.Tokenizers.Data.R50kBase includes the Tiktoken tokenizer data file r50k_base.tiktoken, which is utilized by models such as text-davinci-001

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... More information

Sample utils for Microsoft.ML.Samples

ML.NET additional learners making use of Intel® oneAPI Data Analytics Library (oneDAL).