Showing 136 open source projects for "gnu science"

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  • 1
    FEVal, the Finite Element Evaluator written in Python, provides easy conversion for many Finite Element data formats (both binary and ascii). Mesh modification is very easy. Values of model results can be accessed given coordinates in physical space.
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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
    Embeds a python interpreter in the OpenDX (http://www.opendx.org/) visualization system. This allows the user to quickly write their own custom modules using a Python program.
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  • 4
    CairoPlot is a Python module to plot graphics in an easy and intuitive way, creating beautiful results for presentations, websites and reports.
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  • 5
    SVGGraticule let's you create graticules and measured grids used on maps as SVG files.
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  • 6
    program which solves the poisson problem using multigrid and finite elements
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  • 7
    Software package for stochastic and hybrid simulation of microtubule dynamics and the effects of anti-mitotic drugs and microtubule regulatory proteins.
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  • 8
    openSim is a software platform for the creation, simulation and visualization of system dynamics models.
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  • 9
    RGnome is a gtk based frontend for GNU R, which is a widely used language for statistical computing. It features a fully working R console and an editor with syntax highlighting.
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  • 10
    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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  • 11
    This is a collection of different little tools written in MATLAB, JAVA, Python. They all have to to do with Imaging & Microscopy for life science research and related topics or problems. Some of them are meant to be used with ImageJ and MicroManager.
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