Search Results for "matlab to python conversion" - Page 14
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Showing 355 open source projects for "matlab to python conversion"
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Mpyre is a Python front-end to cdparanoia and lame mp3, musepack, ogg vorbis and flac encoders, that includes id3 and apev2 tagging.
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dostxt is a utility written in pure Python whose purpose is conversion of text files from DOS to UNIX format and vice versa. Supported platforms are Linux and Windows.
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The aim of this project is to translate the geostatistical BMELib Matlab Toolbox (http://www.unc.edu/depts/case/BMELIB/) into Python.
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PyWikiServer is a WikiWiki web server written entirely in Python. Data files are encoded using docbook XML. It does not need neither a Web Server nor any conversion/stylesheet tool.
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xtopdf: Tools to convert other formats (x) to PDF; x as in math. - solve for x :-) Currently x == {.txt, .DBF}. Others to follow. Benefits: all those of PDF (better cross-platform viewing/printing, read-only, etc.)
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Matlab/Octave to Python conversion facility. The tool will take existing scripts and convert them to Python. Also includes Python bindings to Octave and a small runtime support library. Built on top of Numeric Python extensions.
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TQCdRipCompress is a Python application with a Web-Base GUI Interface to rip Audio Tracks from CD and encode them. It uses the matroska container format.
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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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Kuantan Transformator is an easy-to use and open data transformation system. Automated plug-ins allow for fast conversion of an input file over multiple-stages into the target format. Using languages, like Python or XSLT, Kuantan can be easily extended.
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Command line tool which automatically cuts very big MP3 files according to a timeline, without having to convert to an intermediate format and without the need for huge quantities of RAM or disk space. Each subfile can be automatically postprocessed with
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MatPy is a Python package for numerical linear algebra and plotting with a MatLab-like interface. It currently consists of wrappers around Numeric and Gnuplot packages, but eventually may be implemented directly in C/C++, or as interface to Octave.
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Port of Numerical Python to Jython (Java Python) to support all mathematical operations (linear algebra, matrices, DSP, wavelets, FFT, arrays...) and thus compete with commercial packages such as Matlab. It can be easily embedded in Java programs.
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Python Arrays is a project to reimplement the existing Python Numeric module which adds the ability to efficiently manipulate large numeric arrays in ways similar to Matlab and IDL.
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Designed to aid in the conversion of Python modules to C extension modules while keeping the same interface into the module. This will make it easier to convert existing Python code into C code to give it a speed boost without changing to existing code
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The project is aimed at all the multimedia codec developers. It will play various data formats like yuv420/422, rgb888/565/etc. It will support conversion from one color space to another, scaling/zooming, fps control, grid display to identify MB boundary
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Central schemes offer a simple and versatile approach for computing approximate solutions of non-linear systems of hyperbolic conservation laws and related PDEs.
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"PyLab Works" is a free and open source replacement for LabView + MatLab, written in pure Python. PyLab Works is much easier to learn and to extend than LabView and gives a much better programming environment than MatLab. Even kids can use it!
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Python program to convert the morphologically parsed Greek New Testament (provided by UPenn's CCAT and James Tauber http://morphgnt.org/) into an Emdros (http://emdros.org/) MQL database.
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playgc
a simple video to audio converter
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VectTens
A library for handling vectors, tensors, and more.
VectTens is an object-oriented numerical library designed to manipulate vectors, tensors, and other mathematical quantities in a simple and efficient manner. -
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This project collect several data mining methods, such as: 1) clustering methods; 2) biclustering methods; 3) FCA methods and etc.
