Showing 221 open source projects for "user%20%26%20admin%20panel%20script"

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  • 1
    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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  • 2
    KPNClac is a polish notation calculator intended to inspired by the HP48 Series calculators. It handles complex numbers and will someday handle matricies. The next current development version allows user programmable functions via python.
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  • 3
    This project is a python module containing functions to do with matricies. The functions allow all of the standard matrix operations plus a few extras.
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  • 4
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  • 5
    This is a python module that I wrote for statistics work. It can be used to calculate various probability distributions.
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  • 6
    PyNaC is a Python package for coordinate-free symbolic math, based on Geometric Algebra (Clifford Algebra) and Geometric Calculus (Clifford Analysis).
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  • 7
    Project to Design and Implement a new programming language. The language is named Hybrid (c), as it's nature. We "build on" existing languages (Python & others), and not start from scratch (as C++ builds on C). see Docs.
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  • 8

    SnapPea

    Obsolete packaging code for SnapPea

    Packaging code for SnapPea, a program for creating and studying hyperbolic 3-manifolds. This is for packaging ONLY. SnapPea itself (and its successor SnapPy) can be found at: http://www.math.uic.edu/t3m/SnapPy/
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  • 9
    RGEN is a library consisting of random number generator and data accumulation classes.
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  • 10
    A gnome mathematical GUI designed to be a central tool where you can launch various other existing mathematical tools. It now supports Numerical Python Session, and more soon.
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  • 11
    Pfem is a python-based finite element program aimed at solving solid mechanics and heat transfer problems with flexibility, efficiency and sound object-oriented design.
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  • 12
    Mathfun.py is a Python library that contains those little bits of mathemagical ideas that we all enjoy. Primes, prime factorization, Fibonacci sequences, string2value functions...
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  • 13
    GraphicCalculator A Calculator for draw and analyse Funktions. Write in python
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  • 14

    sparray

    A sparse matrix package for Python.

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  • 15
    Free wastewater treatment plant simulator and modelling environment
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  • 16
    A spreadsheet/matlab-like tool for numerical programming with python.
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  • 17
    This project collect several data mining methods, such as: 1) clustering methods; 2) biclustering methods; 3) FCA methods and etc.
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  • 18
    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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  • 19
    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.
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  • 20

    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. If...
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  • 21
    ExoPlanet

    ExoPlanet

    GUI based toolkit for running common Machine Learning algorithms.

    ...With the back-end built using the numpy and scikit-learn libraries, as a toolkit, ExoPlanet couples fast and well tested algorithms, a UI designed over the Qt4 framework, and graphs rendered using Matplotlib to provide the user with a rich interface, rapid analytics and interactive visuals. ExoPlanet is designed to have a minimal learning curve, allowing researchers to focus on the applicative aspect of Machine Learning rather than their implementation details. It provides algorithms for unsupervised and supervised learning, which may be done with continuous or discrete labels. ...
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