Showing 8 open source projects for "neural network visualiser"

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  • 1
    LensOSX

    LensOSX

    LensOSX: the light, efficient network simulator

    Lens is the light, efficient network simulator, written by Doug Rohde. LensOSX is a native MacOSX port of Lens that runs on MacOSX 10.5 or higher, created by Harm Brouwer, Daniel de Kok and Hartmut Fitz.
    Downloads: 0 This Week
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  • 2
    OSXtlearn

    OSXtlearn

    OSXtlearn: tlearn for MacOSX

    tlearn is a backpropagation neural network simulator, written by Jeff Elman. xtlearn is a version of tlearn for the X Window System. OSXtlearn is xtlearn wrapped in a MacOSX application bundle that runs ons MacOSX 10.5 or higher and that requires XQuartz. OSXtlearn is created by Harm Brouwer.
    Downloads: 2 This Week
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  • 3

    BPNNet

    Backpropagation neural network simulator

    Downloads: 2 This Week
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  • 4
    AHANNS

    AHANNS

    AHANNS - Amateur Homemade Artificial Neural Network Simulator

    AHANNS enables the user to create and train artificial neural networks. Training is carried out by an implementation of back propagation learning algorithm. See the documentation for details. This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. This program is distributed in the hope that it will be...
    Downloads: 0 This Week
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  • 5
    Cervelletto is a neural network simulator. It uses a new neural model based on biological, neurological and psychological studies. [it's not yet completed... just give me some weeks! sorry!]
    Downloads: 0 This Week
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  • 6
    This is an implementation of the Granular Neural Network architecture defined by S. Dick, A. Tappenden, C. Badke, O. Olarewaju. It is provided for the use of the public, and the convenience of researchers who may wish to develop or use this new system.
    Downloads: 0 This Week
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  • 7
    iSNS is an interactive neural network simulator written in Java/Java3D. The program is intended to be used in lessons of Neural Networks. The program was developed by students as the software project at Charles University in Prague.
    Downloads: 0 This Week
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  • 8
    ROOTSNNS is a set of C++ classes which allows one to use the Stuttgart Neural Network Simulator kernel (ansi-C) within the ROOT, a data analysis package. Multiple ANNs can be built, trained, and tested, while results and ANN performance can be saved.
    Downloads: 0 This Week
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