166 packages returned for Tags:"machine-learning"

The core of the Accord.NET Framework. Contains basic classes such as general exceptions and extensions used by other framework libraries.

Official Vowpal Wabbit library including C# interface

A fast, distributed, high performance gradient boosting framework

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.

.NET Bindings for TensorFlow

Microsoft.ML.TensorFlow.Redist contains the TensorFlow C library version 1.12.0 redistributed as a NuGet package.

This package contains ONNX Runtime for .Net platforms

This package contains libraries of the Accord.NET Framework that are NOT available under the LGPL. It currently includes Accord.MachineLearning.GPL, which contains GPL code and thus can only be used inside GPL-compliant applications. Please take extra care before including this library in your... More information

Microsoft Machine Learning Scoring library for deep learning model inference. Current version of the library supports inferencing on ONNX v1.3 and TensorFlow v1.10.0 models. The library supports CPU execution with MKL/MKLDNN acceleration. Also supports CUDA GPU devices. For CPU execution of ONNX... More information

FsLab is a combination package that supports doing data science with F#. FsLab includes literate scripting converted to HTML and PDF, and by default references Deedle (a data frame library), FSharp.Data (for data access) and XPlot (for visualization). You can optionally add any other nuget... More information

Official Vowpal Wabbit library including C# interface

The IBM.WatsonDeveloperCloud is a core project of Watson SDK in .Net. The other Watson SDK in .Net service packages depend on this package.

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

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.

Provides Machine Learning WebServices management capabilities for Microsoft Azure.

Deep learning library for F#. Provides symbolic model differentiation, automatic differentiation and compilation to CUDA GPUs. Includes optimizers and model blocks used in deep learning. Make sure to set the platform of your project to x64.

Provides developers with a library to create and manage machine learning compute resources.

Provides classification, regression, impurity and ranking metrics.

Provides learning algorithms and models for DecisionTree regression and classification.