122 packages returned for Tags:"artificial-neural-networks"

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.

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.

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 serializing/deserializing neural networks created with SodiumPlus

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

A library for training neural networks created with SodiumPlus

A library for quick implementation of neural networks

Easy neural network visualizer winform .Net usercontrol

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

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/

Catalyst is a Natural Language Processing library built from scratch for speed. Inspired by spaCy's design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.

Machine Learning library for .NET Core

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

.NET Port of Legendary Mind (github.com/Devtronic/legendary-mind)

Developing a C# wrapper to help developer easily create and train deep neural network models. Easy to use library, just focus on research Multiple backend - ArrayFire (In Progress), TensorSharp (In Progress), CNTK (Not Started), TensorFlow (Not Started), MxNet (Not Started) CUDA/ OpenCL support for... More information

A lightweight, linq-friendly inference library for .NET

C# library for easy Deep Learning and Deep Reinforcement Learning. It is wrapper over C# CNTK API. Has implementation of layers (LSTM, Convolution etc.), optimizers, losses, shortcut-connections, sequential model, sequential multi-output model, agent teachers, policy gradients, actor-critic etc.... More information

CNTK CPU Only backend for SiaNet library. Please install SiaNet along with this backend.

Machine Learning library for .NET Core