Showing 109 open source projects for "artificial"

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  • 1
    Development of a snazzy Java program to simulate the growth and competition of entities in a limited environment.
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  • 2
    pySPACE

    pySPACE

    Signal Processing and Classification Environment in Python using YAML

    pySPACE is a modular software for processing of large data streams that has been specifically designed to enable distributed execution and empirical evaluation of signal processing chains. Various signal processing algorithms (so called nodes) are available within the software, from finite impulse response filters over data-dependent spatial filters (e.g. CSP, xDAWN) to established classifiers (e.g. SVM, LDA). pySPACE incorporates the concept of node and node chains of the MDP framework. Due...
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  • 3
    Mizore is a suite of evolutionary algorithm tools used to create and simulate artificial neural networks for solving temporally expressed problems.
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  • 4
    C++ library that implements basic data structures and algorithms for computer vision and image processing applications
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  • 5
    pyBoids is a free/open-source project that implements (in Python/TKinter) Craig Reynold's famous boids algorithm. This algorithm intelligently simulates flocking, herding, swarming, and schooling behavior as found in nature.
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  • 6
    Cellicone is a project to develop an artificial life organism with the necessary components to make it comparable to biological life as we know it. This includes components ranging from proteins to cells to organs to limbs, and many steps between.
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  • 7
    The aim of this project is to develop a software to assist speech recognition systems users by displaying outputs of their systems.
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  • 8
    A software to implement the existing stereo matching algorithms in computer vision, including the easiest SSD, and the newest algorithms.
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  • 9
    ** IMPORTANT NOTICE ** 10 Feb 2006 Code is being moved to the SMI subversion repository (http://smi-protege.stanford.edu/svn/owl/trunk/) Project will continue to be open source. ProtegeOWL info at: http://protege.stanford.edu/overview/protege-owl.html
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