MLNET 

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

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

ML.NET components for Apache Parquet support.

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

ML.NET component for a statically typed API.

The Microsoft.ML.Tokenizers.Data.Gpt2 includes the Tiktoken tokenizer data file gpt2.tiktoken, which is utilized by models such as Gpt-2.

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

ML.NET featurizers with native code implementation

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... More information

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

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

Package Description

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

Package Description

Package Description

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

Package Description

Package Description

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