returned for Tags:"Learning"
ML.NET is a cross-platform open-source machine learning framework which makes machine learning accessible to .NET developers.
Microsoft.ML.CpuMath contains optimized math routines for ML.NET.
The core of the Accord.NET Framework. Contains basic classes such as general exceptions and extensions used by other framework libraries.
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.
This package contains ONNX Runtime for .Net platforms
Official Vowpal Wabbit library including C# interface.
ML.NET component for FastTree
ML.NET component for LightGBM
A fast, distributed, high performance gradient boosting framework
ML.NET component for Image support
Microsoft.ML.TensorFlow.Redist contains the TensorFlow C library version 1.13.1 redistributed as a NuGet package.
Microsoft.ML.TensorFlow contains ML.NET integration of TensorFlow.
ML.NET additional learners making use of Intel Mkl.
.NET Bindings for TensorFlow
Contains Support Vector Machines, Decision Trees, Naive Bayesian models, K-means, Gaussian Mixture models and general algorithms such as Ransac, Cross-validation and Grid-Search for machine-learning applications. This package is part of the Accord.NET Framework.
Microsoft Cognitive Toolkit Libraries, GPU Build
Microsoft.ML.TimeSeries contains ML.NET Time Series prediction algorithms. Uses Intel Mkl.
ML.NET component for Microsoft.ML.Scoring library
This is a lightweight package which is able to run neural networks with weights from different sources like Keras models.
Microsoft.ML.Mkl.Redist contains the MKL library redistributed as a NuGet package.