Showing 10 open source projects for "artificial neural network code"

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  • 1

    neuranep

    Neural Network Engineering Platform

    ...SpikeOS was oriented towards computational modeling. NeuraNEP is oriented toward neural network research.
    Downloads: 0 This Week
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  • 2
    NOTE: This project was moved to: https://github.com/eetorres The BPANNA is a flexible Back propagation neural network, which include the Conjugate Gradient and the Levenberg-Marquardt. You can change the number of inputs, number of layers, number of neurons per layer and outputs. It included an structure editor.
    Downloads: 0 This Week
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  • 3
    Fast flexible simulator of spiking neural networks. Easy to use graphical user interface with comprehensive monitoring facilities. Integrates with the NeMo CUDA simulator and the iSpike interface for the iCub robot.
    Downloads: 0 This Week
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  • 4
    NeurAnim is a research aid for computational neuroscience. It is used to visualise and animate neural network simulations in 3D, and to render movies of these animations for use in presentations.
    Downloads: 0 This Week
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  • 5
    The Mars Rover Simulator project is based on the evolutionary robotics paradigm where an artificial agent acquires its skills through the process of artificial evolution. This simulator can be useful to evolve neural network controllers for the rover
    Downloads: 1 This Week
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  • 6
    This library is the source code for the development of neural networks with dynamic random links, or other systems.
    Downloads: 0 This Week
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  • 7

    Neural Network

    Neural Network with Hypercube Neurons.

    Downloads: 1 This Week
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  • 8
    OpenDiscreteDynamicProgrammingTemplate : founds optimal constrainted parameters of a discrete controls with second order optimization template replacing Hessian with directional derivatives and backpropagation for digital filter(as neural network)
    Downloads: 1 This Week
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  • 9
    A class library written in Objective-C++ for building models of connectionist networks (neural networks). The class-hierarchy is designed to be maximally general and expandable, but also to support specific types of network.
    Downloads: 0 This Week
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  • 10
    a distributed engine for abstract neural network development via natural-language programming
    Downloads: 0 This Week
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