47 packages returned for Tags:"neural"

Easy neural network visualizer winform .Net usercontrol

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.

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.

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.

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

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 learning algorithms and models for neural net regression and classification.

A lightweight, linq-friendly inference library for .NET

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

Leaning.NET is a machine learning framework.

Fast Artificial Neural Network (FANN) Library is a free open source neural network library, which implements multilayer artificial neural networks in C with support for both fully connected and sparsely connected networks. Cross-platform execution in both fixed and floating point are supported. It... More information

.Net Implementation of w2v for those who want to use goolglr word2vec tools in theirs .net solutions. See github page for easy start.

Fast Artificial Neural Network (FANN) Library is a free open source neural network library, which implements multilayer artificial neural networks in C with support for both fully connected and sparsely connected networks. Cross-platform execution in both fixed and floating point are supported. It... 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/

Package Description

Package Description

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

The simplest neural network library written in .NET Standard 2.0