64 packages returned for Tags:"neural"

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.

Package Description

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

Encog is an advanced machine learning framework that supports a variety of advanced algorithms, as well as support classes to normalize and process data. Machine learning algorithms such as Support Vector Machines, Artificial Neural Networks, Genetic Programming, Bayesian Networks, Hidden Markov... More information

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/

The simplest neural network library written in .NET Standard 2.0

Package Description

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.

Quadratic neural network library written in .NET Standard 2.0

Main contract (interfaces) for package NeuralNetwork.Structure. Used by packages NeuralNetwork.Structure (implementations) and NeuralNetwork.Learning

Ghozt Neural Network Wrapper C# Neural Network

SharpNEAT - Evolution of Neural Networks.

A simple lightweight Neural network library, suitable for education and enthusiasts. Currently in development and not finished yet, please look forward for updates.

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

Implementation of neural network structure.

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.

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.

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

Leaning.NET is a machine learning framework.

Package Description