Showing 7 open source projects for "above"

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  • 1
    Conscious Artificial Intelligence

    Conscious Artificial Intelligence

    It's possible for machines to become self-aware.

    ...This project has 2 subprojects: Object Pascal based CAI NEURAL API - https://github.com/joaopauloschuler/neural-api Python based K-CAI NEURAL API - https://github.com/joaopauloschuler/k-neural-api A video from the first prototype has been made: http://www.youtube.com/watch?v=qH-IQgYy9zg Above video shows a popperian agent collecting mining ore from 3 mining sites and bringing to the base. At the time the agent is born, it doesn't know how to walk nor it knows that it feels pleasure by mining. He has tact only (blind agent). The video shows learning, planning, executing and plan optimization.
    Downloads: 1 This Week
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  • 2
    nmeasim

    nmeasim

    Simulate GPS+AIS sentences and send to a navigation SW

    ...All the parameters : name, mmsi, initial position (lat/long), COG, SOG for my boat as well as for AIS targets, and I/O configuration (com port...) can be edited in the 'datasimul.json' (file created by the app with default values in V1.0) Just Download the nmeasim.exe file (green button above) and launch it. Be patient for a few seconds if you have a slow PC! Go to the 'Files' tab to look at the readme file and download any additional file if needed.
    Downloads: 17 This Week
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  • 3

    sidmon3

    Sudden ionospheric distubance (SID) monitor

    ...The intensities of these signals reflect the ability of radio waves at those wavelengths to propagate in what is essentially a waveguide formed by the earth and the ionosphere above it. Fluctuations in those signal intensities and directions often reflect daytime perturbations of the ionosphere by solar processes, such as solar flares and coronal mass ejections, making VLF receivers useful tools for probing the sun and the earth's ionosphere. For additional general information, see the web page at http://solar-center.stanford.edu/SID/.
    Downloads: 1 This Week
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  • 4

    Py3DN

    Morphometric analysis and visualization of the 3D structure of neurons

    Py3DN, is an open-source solution providing innovative tools to analyze 3D data collected with the widely used commercial system Neurolucida (MBF). It allows the construction of mathematical representations of neuronal topology, visualization and a variety of morphometric analysis on the neuronal structures. Above all, it provides a flexible environment where new types of analyses can be easily set up allowing total freedom to test new hypotheses. The application was developed in Python and uses Blender (an open source program) to produce detailed 3D representations of raw and processed data. Py3DN is described in the paper: Aguiar P et al, "Versatile morphometric analysis and visualization of the three-dimensional structure of neurons", Neuroinformatics, 2013, 11(4):393-403 doi: 10.1007/s12021-013-9188-z
    Downloads: 0 This Week
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  • 5
    SciEnPlot

    SciEnPlot

    Data Plotting and Analysis for Science and Engineering

    - Save and open a Work/Project (spf) file - Single fitting/ Batch fitting (user defined custom func) - Matrix to XYZ in Tool menu - Symbol plot: makers, curve, landscape, bar, etc. - Implemented a 3d surface plot (GLSurface) based on OpenGL (ScienPlot v1.3.2 and above) - ColorMap surface, trisurface, Pie, Polar plots, and 3D height field, 3dBar, scatter plots (under developing), and more - Column by column plotting/calculation - LaTex commands enclosed by $ symbols can be used for the labels in Graph - Accept txt(Text) and csv(Comma separated values) formatted data - Save, copy, print Graph - Use spread sheets to display data - Textboard to organize the results - Graphs in a publishable quality - Source codes based on: Python Numpy Scipy Matplotlib WxPython Visvis etc...
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    Downloads: 1 This Week
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  • 6
    ...More details can be found in Tataru et al. Inference under a Wright-Fisher model using an accurate beta approximation If using this software in a publication, please cite the above article.
    Downloads: 0 This Week
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  • 7
    OpenDAS

    OpenDAS

    Open Data Acquisition System

    Project is migrated to GitHub: https://github.com/OpenDAS OpenDAS is an "Open Data Acquisition System" and a new software aimed at industry use. This is the easiest software to acquire data for industry and logistic, above all, this is a universal software. Why universal?, because OpenDAS has been thought as a universal acquisition system. It can be used to acquire data for any software or any combination of softwares. You can use data that come from an HR system, send data to an ERP system. You can mix data coming from two softwares in order to use them in a unified business procedure Brought to you by ASPerience: http://www.asperience.fr/pole-applicatifs-metiers/saisie-industrielle
    Downloads: 0 This Week
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