Showing 8 open source projects for "artificial intelligence algorithm"

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  • 1
    SmartWeld

    SmartWeld

    Weld Optimization for Automatic Welding

    Science based weld software to develop optimal automatic weld procedures. SmartWeld is a PC based tool for designers, engineers, and technicians to aid in selecting, optimizing, and configuring automated welding processes.
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    Downloads: 11 This Week
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  • 2
    OpenOCL Matlab

    OpenOCL Matlab

    Optimal control, trajectory optimization, model-predictive control.

    The Open Optimal Control Library is a software framework in Matlab/Octave for modeling optimal control problem. It uses automatic differentiation and fast non-linear programming solvers. It implements direct methods. In the backend it uses CasADi and ipopt.
    Downloads: 0 This Week
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  • 3
    Scorpius Robocup soccer simulation team. we will release our binaries, base code, trainers and useful documents here.
    Downloads: 0 This Week
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  • 4
    iRobot Create Simulator
    A MATLAB toolbox for simulating the movement of the iRobot Create. Contains multiple GUIs for creating maps and other input, showing the movement of the Create, and replaying a previously saved session.
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    Downloads: 0 This Week
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  • 5

    Fish4Knowledge Project

    Analysis of undersea fish videos

    The Fish4knowledge project investigated: information abstraction and storage methods for analyzing undersea video data (from 10E+15 pixels to 10E+12 units of information), machine and human vocabularies for detecting & describing fish, flexible process architectures to process the data and scientific queries and effective specialised user query interfaces. A combination of computer vision, database storage, workflow and human computer interaction methods were used to achieve this. The...
    Downloads: 2 This Week
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  • 6
    A cross-platform library that computes fast and accurate SIFT image features. libsiftfast provides Octave/Matlab scripts, a command line interface, and a python interface (siftfastpy). Optimized with SIMD instructions and OpenMP .
    Downloads: 0 This Week
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  • 7
    Bayesian Surprise Matlab toolkit is a basic toolkit for computing Bayesian surprise values given a large set of input samples. It is also useful as way of exploring surprise theory. For more information see also: http://ilab.usc.edu/
    Downloads: 0 This Week
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  • 8
    A collection of Matlab functions and scripts for computing the saliency map for an image, for determining the extent of a proto-object, and for serially scanning the image with the focus of attention.
    Downloads: 0 This Week
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