Neural network software
Neural network software is used to simulate, research, develop, and apply artificial neural networks, software concepts adapted from biological neural networks, and in some cases, a wider array of ada
SNNS (Stuttgart Neural Network Simulator) is a neural network simulator originally developed at the University of Stuttgart. While it was originally built for X11 under Unix, there are Windows ports.
Neuroph is an object-oriented artificial neural network framework written in Java. It can be used to create and train neural networks in Java programs. Neuroph provides Java class library as well as G
Neural Engineering Object
Neural Engineering Object (Nengo) is a graphical and scripting software for simulating large-scale neural systems. As the neural network software Nengo is a tool for modelling neural networks with app
OpenNN (Open Neural Networks Library) is a software library written in the C++ programming language which implements neural networks, a main area of deep learning research. The library is open-source,
Encog is a machine learning framework available for Java and .Net.Encog supports different learning algorithms such as Bayesian Networks, Hidden Markov Models and Support Vector Machines.However, its
Emergent (formerly PDP++) is neural simulation software that is primarily intended for creating models of the brain and cognitive processes. Development initially began in 1995 at Carnegie Mellon Univ
Neural Lab is a no-cost neural network simulator that designs and trains artificial neural networks for use in many fields such as engineering, business, computer science and technology. It integrates
JOONE (Java Object Oriented Neural Engine) is a component based neural network framework built in Java.
PSI-blast based secondary structure PREDiction (PSIPRED) is a method used to investigate protein structure. It uses artificial neural network machine learning methods in its algorithm. It is a server-
NeuroSolutions is a neural network development environment developed by NeuroDimension. It combines a modular, icon-based (component-based) network design interface with an implementation of advanced
Synapse is a component-based development environment for neural networks and adaptive systems. Created by Peltarion, Synapse allows data mining, statistical analysis, visualization, preprocessing, des
LaMDA, which stands for Language Model for Dialogue Applications, is a family of conversational neural language models developed by Google. The first generation was announced during the 2021 Google I/
EDLUT (Event-Driven LookUp Table) is a computer application for simulating networks of spiking neurons.It was developed in the University of Granada and source code was released under GNU GPL version