MLNET 

ML.NET components for Apache Parquet support.

ML.NET featurizers with native code implementation

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

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

The Microsoft.ML.Tokenizers.Data.O200kBase includes the Tiktoken tokenizer data file o200k_base.tiktoken, which is utilized by models such as gpt-4o.

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.

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

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

Package Description

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.

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

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

Package Description

Package Description

Package Description

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