Showing 5 open source projects for "high level assembler"

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  • 1
    seaborn

    seaborn

    Statistical data visualization in Python

    Seaborn is a Python data visualization library based on matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics. Seaborn helps you explore and understand your data. Its plotting functions operate on dataframes and arrays containing whole datasets and internally perform the necessary semantic mapping and statistical aggregation to produce informative plots. Its dataset-oriented, declarative API lets you focus on what the different elements of your plots mean, rather than on the details of how to draw them. ...
    Downloads: 6 This Week
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  • 2
    PolyBoRi
    PolyBoRi is implemented as a C++ library for Polynomials over Boolean Rings, which provides high-level data types for Boolean polynomials. A python-interface yields extensible algorithms for computing Groebner bases over Boolean Rings.
    Downloads: 0 This Week
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  • 3
    mlpy

    mlpy

    Machine Learning Python

    mlpy is a Python module for Machine Learning built on top of NumPy/SciPy and of GSL. mlpy provides high-level functions and classes allowing, with few lines of code, the design of rich workflows for classification, regression, clustering and feature selection. mlpy is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License version 3. mlpy is available both for Python >=2.6 and Python 3.X.
    Downloads: 23 This Week
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  • 4
    APLEpy stands for Algebraic Programming Language Extension for Python. It is an open source alternative to commercial products such as AMPL and GAMS. It offers the same high level of abstraction while keeping the advantages of using Python environment.
    Downloads: 0 This Week
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  • 5
    JSalesman is a very efficient Travelling Salesman problem solver that produces high-quality outputs. JSalesman uses hierarchial and multi-level approaches to solve the problem fast.
    Downloads: 0 This Week
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