72 packages returned for Tags:"machinelearning"

Provides MachineLearning service management (Fluent) capabilities for Microsoft Azure.

Amazon Machine Learning Client for the AWS SDK for C++. AWS SDK for C++ provides a modern C++ (version C++ 11 or later) interface for Amazon Web Services (AWS). It is meant to be performant and fully functioning with low- and high-level SDKs, while minimizing dependencies and providing platform... More information

Redistributable components for package 'AWSSDKCPP-MachineLearning'. This package should only be installed as a dependency. (This is not the package you are looking for).

Amazon Machine Learning is a service that makes it easy for developers of all skill levels to use machine learning technology.

Provides classification, regression, impurity and ranking metrics.

Provides learning algorithms and models for DecisionTree regression and classification.

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

An easy and quick way to use libsvm in your .NET projects. Envoy !

Provides learning algorithms and models for GradientBoost regression and classification.

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... More information

Bright Wire is an open source machine learning library. Includes neural networks (feed forward, convolutional and recurrent), naive bayes, linear regression, decision trees, logistic regression, k-means clustering and dimensionality reduction.

Provides ensemble learning for regression and classification.

Provides learning algorithms and models for neural net regression and classification.

Provides learning algorithms and models for AdaBoost regression and classification.

Provides optimization algorithms.

Dlib wrapper library written in C++ and C# for Windows, MacOS and Linux Requirements: Visual C++ 2017 Redistributable Package

NumSharp is the fundamental package for scientific computing with dot NET. It has implemented the arange, array, max, min, reshape, normalize, unique and random interfaces and so on. More and more interfaces will be added to the library gradually. If you want to use .NET to get started with machine... More information

LibSVMsharp is a simple and easy-to-use C# wrapper for Support Vector Machines. This library uses LibSVM version 3.23 with x64 support, released on 15th of July in 2018. For more information: https://github.com/ccerhan/LibSVMsharp

Client library for Nexosis Machine Learning API.

Bright Wire CUDA adds GPU support to Bright Wire. This lets you run Bright Wire machine learning on a Maxwell or better NVIDIA GPU.