341 packages returned for Tags:"learning"

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.

Provides learning algorithms and models for DecisionTree regression and classification.

Microsoft Cognitive Toolkit Libraries, GPU Build

This package contains easy-to-use and high-performance libraries for data analysis and transformation.

This package contains native shared library artifacts for all supported platforms of ONNX Runtime.

Provides cross-validation, training/test set samplers and learning curves for SharpLearning.

Provides learning algorithms and models for RandomForest and ExtraTrees regression and classification.

Microsoft Cognitive Toolkit Libraries, CPU-Only Build

This is a lightweight package which is able to run neural networks with weights from different sources like Keras models.

numl is a machine learning library intended to ease the use of using standard modeling techniques for both prediction and clustering

This package contains native shared library artifacts for all supported platforms of ONNX Runtime.

Provides Machine Learning WebServices management capabilities for Microsoft Azure.

Microsoft Cognitive Toolkit Libraries, UWP CPU-Only Build

Official Vowpal Wabbit library including C# interface.

ML.NET component for Ensembles

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

Provides classification, regression, impurity and ranking metrics.

HDBSCAN is a clustering algorithm developed by Campello, Moulavi, and Sander. It extends DBSCAN by converting it into a hierarchical clustering algorithm, and then using a technique to extract a flat clustering based in the stability of clusters.

.Net wrapper for the XGBoost machine learning library. Targeted for x64 and supports .Net Framework versions 4.0 and above.