Showing 67 open source projects for "example"

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  • 1
    My first project. Select a Formula and compute the results. Windows user can download a working example. Everybody else can checkout the repository. Enjoy.
    Downloads: 0 This Week
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  • 2
    ANT is a lightweight implementation in C of a kind of artificial neural net called Multilayer Perceptron, which uses the backpropagation algorithm as learning method. The package includes an introductory example to start using artificial neural nets.
    Downloads: 0 This Week
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  • 3
    This project will consist of a number of advanced random generators, most probably all written in php, that can be hosted on http servers. An example of this is "Mafia Scum Tools", which randomly allocates a title to a name (useful for forum RPG games)
    Downloads: 2 This Week
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  • 4
    Genijatorics is a library providing solutions to enumerative combinatorial problems. The most prominent example of its use is for generating events in specified date range from CRON-like descriptions. It also serves for educational purposes.
    Downloads: 0 This Week
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  • 5
    snd2fftw is a small tool that reads samples from audio file (WAV for example) and makes DFT on them.
    Downloads: 0 This Week
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  • 6
    libidp is a C library implementation of the iterative dynamic programming (IDP) optimal control algorithm, which solves the optimal control problem for ODE and DAE dynamic equation models. An example problem is included.
    Downloads: 0 This Week
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  • 7
    XMLMath evaluates mathematical, logical or textual expressions described in xml and prints the result. For example, to compute the result of 1 + 1, you would write: <add> <long value="1"/> <long value="1"/> </add>
    Downloads: 0 This Week
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  • 8
    GLplot is a Mathematics function plotting program based on OpenGL. It can be used to plot functions in 3 dimensions. The results are not as good as Mathematica or Matlab but it gives a good example or OpenGL programming.
    Downloads: 0 This Week
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  • 9
    D-Cog (Declarative-Cognition) is a Java based framework for training software components (reusable, object-oriented, interface-driven components). Instead of programmed, software components are trained by example to get the expected results.
    Downloads: 0 This Week
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  • 10
    Lightweight backpropagation neural network in C. Intended for programs that need a simple neural network and do not want needlessly complex neural network libraries. Includes example application that trains a network to recognize handwritten digits.
    Downloads: 6 This Week
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  • 11
    Concurrent Modules for GNU Octave is a framework to help developing modular extensions to Octave. Modules run in separate threads and a timer module is provided as example. It is also the basis of Octave GUI Module that will give Octave GUI capabilities.
    Downloads: 0 This Week
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  • 12
    Symtree is a library to create, search, and modify sets. An example of a practical application for symtee is a dictionary.
    Downloads: 0 This Week
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  • 13
    ...I expect the existing module docstring will be a good start. + Create a test driver for Python's regression suite. + Have fun modernizing it, if you like (for example,
    Downloads: 0 This Week
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  • 14
    This is a slide rule emulator based on the classic Pickett slide rule design. It is written in Python, so the name "pyckett" is appropriate. It is suitable as an example of object-oriented Python software construction, including multiple inheritance.
    Downloads: 0 This Week
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  • 15
    Neural network based pattern recognition software. Aim is to provide a program what is able to find pictures by a text line input. For example -> find all pictures with a red car?
    Downloads: 0 This Week
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  • 16
    calculate math expression(string), for example: double ret = Cal("1+2"), ret= Cal("Pi+ln(e)+f(x,y)÷x+φ+φ0+φ1"). Features
    Downloads: 0 This Week
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  • 17

    Statastizard

    Statistics Wizard

    Statastizard(c)2012 Nick Emblow is a program designed to guide its user into the right statistical test, perform the test, and report the results in a meaningful way. The idea of this is that the user won't actually need to know that they are using a mann-whitney U over a t-test, for example - it just tests for normality and homoscedastic of variance, and decides which test to use, then reports the results. Why? Because time after time, people come to me with some test that they've done that they think "proves" something - when in reality they've either not done a comparative test to start with (ex. a correlation), failed to test for confounding factors (such as normality etc) and as a result, failed to appropriately identify even the right test to do.
    Downloads: 0 This Week
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