This subcat is for software used to develop new neural network models, and not for commercial purposes.
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Sites 20
Neural network software and Excel add-ins for forecasting and data analysis. Supports several algorithms. Trial versions are available.
Open-source software for simulating spiking neural networks, written in C++.
Open-source neural network library for C++ (Windows and Linux). Support for MLP, RBF and Hopfield networks. Interfaces with Matlab's Neural Network Toolbox.
A standard environment for evaluating the performance of learning methods. Includes a number of datasets and an archive of learning methods.
A platform for simulating complex neural systems.
A Python neural network system built on top of Theano which provides transparent multi-core and GPU optimization for efficiently training multilayer convolutional neural networks.
An open source neural network library. Implements feedforward neural network classes in multiple languages including C++ and PHP.
Free software project. Implements a general feed forward neural network and some training techniques.
Simulates MLP, RMLP and Cascade-Correlation models with dynamic size adjustment algorithms. Includes various training patterns, error and activation functions.
A neural network based system to recognize leaves written in Java. A Java-Applet is also available.
An environment for neural network research, design, and simulation within MATLAB.
Java open source neural network framework which can be used to create and train common types of neural networks. Site contains full source code, documentation and project info.
Icon-based neural network development software. Supports several types of networks and training algorithms. Trial version is available.
MS Excel add-ins based on neural networks. Designed for predicting, classification and financial forecasting.
Tutorial that includes Java applet for online experiments with prediction of a function, including training set generation and error observation.
A free java-based neural network simulation kit.
An open source library for numeric computation using data flow graphs, optimized for parallel processing using GPUs to handle massive scale deep neural network training. Offers documentation, tutorials and source code.
Neural network for classification and regression problems. Supports ODBC and Excel.
A library of state-of-the-art machine learning algorithms. Licensed under the GPL, and designed for Unix and Linux environments.
Suite of unsupervised competitive learning software written in Java, with full source code.
A Python neural network system built on top of Theano which provides transparent multi-core and GPU optimization for efficiently training multilayer convolutional neural networks.
A neural network based system to recognize leaves written in Java. A Java-Applet is also available.
An open source library for numeric computation using data flow graphs, optimized for parallel processing using GPUs to handle massive scale deep neural network training. Offers documentation, tutorials and source code.
An environment for neural network research, design, and simulation within MATLAB.
Java open source neural network framework which can be used to create and train common types of neural networks. Site contains full source code, documentation and project info.
Suite of unsupervised competitive learning software written in Java, with full source code.
Tutorial that includes Java applet for online experiments with prediction of a function, including training set generation and error observation.
Simulates MLP, RMLP and Cascade-Correlation models with dynamic size adjustment algorithms. Includes various training patterns, error and activation functions.
A library of state-of-the-art machine learning algorithms. Licensed under the GPL, and designed for Unix and Linux environments.
A platform for simulating complex neural systems.
Icon-based neural network development software. Supports several types of networks and training algorithms. Trial version is available.
Neural network software and Excel add-ins for forecasting and data analysis. Supports several algorithms. Trial versions are available.
A standard environment for evaluating the performance of learning methods. Includes a number of datasets and an archive of learning methods.
A free java-based neural network simulation kit.
Free software project. Implements a general feed forward neural network and some training techniques.
An open source neural network library. Implements feedforward neural network classes in multiple languages including C++ and PHP.
MS Excel add-ins based on neural networks. Designed for predicting, classification and financial forecasting.
Open-source software for simulating spiking neural networks, written in C++.
Open-source neural network library for C++ (Windows and Linux). Support for MLP, RBF and Hopfield networks. Interfaces with Matlab's Neural Network Toolbox.
Neural network for classification and regression problems. Supports ODBC and Excel.
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July 6, 2022 at 5:15:09 UTC
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- Recently edited by merlin1
- Recently edited by merlin1