returned for Tags:"ml"
ML.NET is a cross-platform open-source machine learning framework which makes machine learning accessible to .NET developers.
Contains the IDataView system which is a set of interfaces and components that provide efficient, compositional processing of schematized data for machine learning and advanced analytics applications.
Microsoft.ML.CpuMath contains optimized math routines for ML.NET.
ML.NET component for FastTree
ML.NET component for LightGBM
ML.NET component for Image support
ML.NET additional learners making use of Intel Mkl.
Microsoft.ML.TensorFlow contains ML.NET integration of TensorFlow.
ML.NET component for Microsoft.ML.OnnxRuntime.Managed library
Microsoft.ML.Vision contains high level APIs for vision tasks like image classification.
Microsoft.ML.TimeSeries contains ML.NET Time Series prediction algorithms. Uses Intel Mkl.
Microsoft.ML.Mkl.Redist contains the MKL library redistributed as a NuGet package.
An integration package for ML.NET models on scalable web apps and services.
Official Vowpal Wabbit library including C# interface.
ML.NET AutoML: Optimizes an ML pipeline for your dataset, by automatically locating the best feature engineering, model, and hyperparameters
LIBMF, the core computation library for matrix factorization in ML.NET
Microsoft.ML.TensorFlow.Redist contains the TensorFlow C library version 1.13.1 redistributed as a NuGet package.
This package contains easy-to-use and high-performance libraries for data analysis and transformation.
This is a C# class library containing some very basic geodesic algorithms.
It is based on work by Mike Gavaghan and has been enhanced by me to cover
also some variants of Mercators projection of the earth to flat maps. I cover
Spherical and Elliptical Mercator projections, mapping the earth to a...
ML.NET component for Ensembles