Top 20 NuGet learning Packages
This package contains native shared library artifacts for all supported platforms of ONNX Runtime.
DiffSharp is an automatic differentiation (AD) library.
AD allows exact and efficient calculation of derivatives, by systematically invoking the chain rule of calculus at the elementary operator level during program execution. AD is different from numerical differentiation, which is prone to trunca...
Machine learning library for .Net and Mono.
Currently has Linear Regression, Logistic Regression, Ridge Regression/Classifier, Svm classifier.
Initially it is port of popular Scikit-learn machine learning python library and has very close design.
Sharpkit.Learn is based on the state of t...
A machine learning approach to detect invalid emails (without actually sending the email)
.Net connector to OpenMl API. It now support the whole extent of the OpenMl REST API.
Hype is a proof-of-concept deep learning library, where you can perform optimization on compositional machine learning systems of many components, even when such components themselves internally perform optimization.
This is enabled by nested automatic differentiation (AD) giving you access to the ...
Gets ngrams and cleans text.
Library To Interact with Azure Machine Learning Mangement Rest Interface
Library To Interact with Azure Machine Learning Mangement Rest Interface
Covers the scope of statistics and machine learning in dotnet as well as operationalization of machine learning in Azure
Deep learning in C#
Deep learning in C#
.NET Library for calculations in the area of predictive analytics. It contains relevant methods of the machine learning context such as nonlinear regressions, clustering and multivariate statistics.
Simple library for creating sequential models of convolutional neural networks. Library is for the solving small problems because is aimed on the readable code and modularity more than performance.
Microsoft.ML.Experimental contains experimental work such extension methods to access internal methods.
Microsoft.ML.EntryPoints contains the ML.NET entry point API catalog.
Search Results via SERP API. Hash, JSON, and HTML format supported for Google, Bing, Baidu, Yandex, Ebay, Google Product, Youtube, Wallmart and more...