Top 20 NuGet Machinelearning Packages

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 port...
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.
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 ...
The world's simplest facial recognition api for .NET This library is ported from https://github.com/ageitgey/face_recognition by C#.
The world's simplest facial recognition api for .NET This library is ported from https://github.com/ageitgey/face_recognition by C#.
Provides learning algorithms and models for XGBoost regression and classification.
Provides learning algorithms and models for DecisionTree regression and classification.
Provides ensemble learning for regression and classification.
Provides learning algorithms and models for GradientBoost regression and classification.
Provides learning algorithms and models for neural net regression and classification.
Provides optimization algorithms.
Provides learning algorithms and models for RandomForest and ExtraTrees regression and classification.
Provides learning algorithms and models for AdaBoost regression and classification.
Class library to calculate Local Binary Pattern (LBP) or Median Robust Extended Local Binary Pattern (MRELBP) images. Uses Accord.Math Nuget package. Call "using LBPLibrary;" to include classes in your code. Published with MIT license.
Provides classification, regression, impurity and ranking metrics.
Google's TensorFlow binding in .NET Standard. Docs: https://tensorflownet.readthedocs.io
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.
Bright Wire CUDA adds GPU support to Bright Wire. This lets you run Bright Wire machine learning on a Maxwell or better NVIDIA GPU.
Machine Learning made simple.