21 packages returned for Tags:"networks"

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

The AForge.Neuro library contains classes for artificial neural network computation - feed forwards networks with error back propagation learning and Kohonen self organizing maps. Full list of features is available on the project's web site.

Provides virtual network management capabilities for Microsoft Azure.

A lightweight, linq-friendly inference library for .NET

Parallel Neural Network Classes for .NET. Backpropagation class for easy training and testing. Code Project link: http://www.codeproject.com/Articles/1016734/Parallel-Artificial-Neural-Networks-in-NET-Frame GitHub link: https://github.com/hemanthk119/NeuralNetworks/

uBeSocial is an Umbraco Back-Office extension that allows for easy posting to multiple social networks at once.

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... More information

Easy neural network visualizer winform .Net usercontrol

A powerful neural network library for creating perceptron for classifying inputs. Also see SodiumPlusTraining for training neural networks using the error backpropagation approach.

A library for training neural networks created with SodiumPlus

A library for serializing/deserializing neural networks created with SodiumPlus

Rocket powered machine learning. Create, compare, adapt, improve - neural networks at the speed of thought.

Rocket powered machine learning. Create, compare, adapt, improve - neural networks at the speed of thought.

A library for quick implementation of neural networks

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.

Machine Learning library for .NET Core

The package helps to share any Umbraco document type in Linkedin, Twitter, and Facebook via one click. For now, you will never forget to share your blog post, news item or any other content on social networks. Please, carefully read quickstart tutorial to begin.

Use this Extension for HTTP Endpoints, HTTP Requests, Socket Endpoints, Socket Clients and SSDP discovery

Contains neural learning algorithms such as Levenberg-Marquardt, Parallel Resilient Backpropagation, initialization procedures such as Nguyen-Widrow and other neural network related methods. This package is part of the Accord.NET Framework.

Text Analytics and Sentiment Analysis API - allows to perform following: Sentiment analysis, Document classification, Entity extraction, Themes discovery, Keyword analysis, Citation detection, Slang detection..