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The intention of this project is to create a structure for future, larger neuralnet designs, to create a symmetric multi-processing neural network, capable of sustaining a large amount of simulated neurons. Note: this description does not necessarily s
ScienceNET is a open source library written in C# which aims to provide a self contained clean .NET framework for neural networks, genetic algorithms, optimization, image processing and for other domains of a computational science.
GHAPACK is a suite of tools around the Generalized Hebbian Algorithm. The Generalized Hebbian Algorithm (GHA) is a neural-net-like algorithm that allows the eigen decomposition of a dataset to be "learned" from serially-presented data.
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