Showing 10 open source projects for "no coding technology programming"

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  • 1
    Armadillo

    Armadillo

    fast C++ library for linear algebra & scientific computing

    * Fast C++ library for linear algebra (matrix maths) and scientific computing * Easy to use functions and syntax, deliberately similar to Matlab / Octave * Uses template meta-programming techniques to increase efficiency * Provides user-friendly wrappers for OpenBLAS, Intel MKL, LAPACK, ATLAS, ARPACK, SuperLU and FFTW libraries * Useful for machine learning, pattern recognition, signal processing, bioinformatics, statistics, finance, etc. * Downloads:...
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    Downloads: 3,187 This Week
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  • 2
    MLPACK is a C++ machine learning library with emphasis on scalability, speed, and ease-of-use. Its aim is to make machine learning possible for novice users by means of a simple, consistent API, while simultaneously exploiting C++ language features to provide maximum performance and flexibility for expert users. * More info + downloads: https://mlpack.org * Git repo: https://github.com/mlpack/mlpack
    Downloads: 0 This Week
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  • 3
    GFP use Genetic Programming and LISP-like language for growing program.
    Downloads: 0 This Week
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  • 4
    Graphal

    Graphal

    Graph algorithms interpreter, IDE, debugger, 3D visualizations.

    Graphal is an interpreter of a programming language that is mainly oriented to graph algorithms. There is a command line interpreter and a graphical integrated development environment. The IDE contains text editor for programmers, compilation and script output, advanced debugger and visualization window. The progress of the interpreted and debugged graph algorithm can be displayed in 3D scene.
    Downloads: 0 This Week
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  • 5
    Linear Program Solver

    Linear Program Solver

    Solve linear programming problems

    Linear Program Solver (LiPS) is an optimization package oriented on solving linear, integer and goal programming problems. The main features of LiPS are: ● LiPS is based on the efficient implementation of the modified simplex method that solves large scale problems. ● LiPS provides not just an answer, but a detailed solution process as a sequence of simplex tables, so you can use it for studying/teaching linear programming. ● LiPS gives sensitivity analysis procedures, which allow us to study the behaviour of the model when you change its parameters, including: analysis of changes in the right sides of constraints, analysis of changes in the coefficients of the objective function, analysis of changes in the column/row of the technology matrix. ...
    Downloads: 18 This Week
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  • 6
    Data Structure & Algorithm Library(DSAL)
    The Data Structure & Algorithm Library (DSAL) is a library of classical data structure and algorithm.
    Downloads: 0 This Week
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  • 7
    swIMP (swig-based Interfaces for Mathematical Programming) provides Java wrappers for solvers written in C or C++. The current focus is on accessing OSI-compatible linear programming (LP) solvers from the Coin-OR-project (e.g. Clp, GLPK, MOSEK, CPLEX).
    Downloads: 0 This Week
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  • 8
    The project is created with an aim to provide - design patterns implemented in C++ using boost. Following are the primary requirements 1) Generic Header Only Library 2) Using Boost Libraries, Coding Style, Philosophy 3) Standard C++
    Downloads: 0 This Week
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  • 9
    SCS - Simple Contest System - is a system for makieing Programming contests in simple way.
    Downloads: 0 This Week
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  • 10
    An experimental language API and interpreter which combine ideas from functional programming and graph theory.
    Downloads: 0 This Week
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