Rumale::NeuralNetwork provides classifiers and regression algorithms based on multi-layer perceptron, radial basis function network, and random vector functional link network in the Rumale interface.

A simple feed-forward Neural Network gem

NeuralNet/DeepLearning implement for Ruby. You can use 'neural network' and 'deep learning' easily.

A native Ruby C extension providing parallelized matrix and neural-network style tensor operations.

Simple Feed Forward Neural Network

AI4R is a lightweight, educational Ruby library featuring clean implementations of core machine learning and AI algorithms—such as decision trees, neural networks, k-means, genetic algorithms, and even a bit size Transformers architecture covering encoder, decoder, and seq2seq variations. Designe...

This is a ruby gem that lets you implement categorization systems with ease. Associative memory neural networks make it easy to identify probable patterns between sets of named data points. It can be cumbersome to interface with the neural network directly, however, as a typical implementation ...

RubyNEAT -- Neural Evolution of Augmenting Topologies for Ruby. By way of an enhanced form of Genetic Algorithms -- the NEAT algorithm, populations of neural nets are evolved to handle pre-defined goals. RubyNEAT is the first implementation of the NEAT algorithm for Ruby, and it lever...

A simple neural network implementation in Ruby.

Neural Network

neural network ruby implementaiton

Compact Language Detector v3 (CLD3) is a neural network model for language identification.

A flexible framework for neural network for Ruby

Artificial Neural Networks in Ruby

A Ruby extension that provides a 2-Layer Back Propagation Neural Network, which can be used to categorize datasets of arbitrary size.

rb-brain is an easy-to-use neural network written in ruby

This is a ruby gem for bulk delete messages and files on Slack channels.

A feedforward neural network library for JRuby. Aims to provide a quick way to get started on machine learning with ruby

Ruby Neural Network implementation using backpropagation and gradient descent for training

An efficient Spiking Neural Net Simulator