Showing 363 open source projects for "compiler python linux"

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  • 1
    A spreadsheet/matlab-like tool for numerical programming with python.
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  • 2
    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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  • 3
    Modelling the perception of flight dispatchers
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  • 4
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  • 5
    THE PROJECT LIVES AT http://ggap.sourceforge.net NOW. BERLIOS.DE PROJECT IS DEAD (almost). A frontend for GAP computer algebra system.
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  • 6
    PLearn is a C++ library aimed at research and development in the field of statistical machine learning algorithms.
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  • 7
    program which solves the poisson problem using multigrid and finite elements
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  • 8
    Free wastewater treatment plant simulator and modelling environment
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  • 9
    VectTens

    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.
    Downloads: 0 This Week
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  • 10
    This project collect several data mining methods, such as: 1) clustering methods; 2) biclustering methods; 3) FCA methods and etc.
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  • 11
    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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  • 12

    golib

    C++ collection mostly for image processing

    libGo is a C++ class library containing all kinds of things that proved useful to me. Included are: - Linear algebra, using LAPACK and CBLAS - V4L(1) image grabber - Multithreading - Image containers (up to 3D) - Some simple optimisation code - Python embedding helper - Matlab interface - .. and other things, have a look at the HTML documentation! golib grew over many years, things I had use for have been added now and then. Some parts are better taken care of than others...
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  • 13
    Dasema is a compact C++ library for interpreting mathematical formula and applying them to data points/sets. It supports multiple variables and comes with a tool for benchmarking, a C++ GNU-like frontend as proof-of-consept and SWIG interface to Python.
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