Showing 4 open source projects for "data mining project with code"

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  • 1
    LinAsm

    LinAsm

    Collection of fast and optimized assembly libraries for x86-64 Linux

    LinAsm is collection of very fast and SIMD optimized assembly written libraries for x86-64 Linux. It implements many common and widely used algorithms for array manipulations: searching, sorting, arithmetic and vector operations, unit conversions; fast mathematical and statistic functions; numbers and time converting algorithms; finite impulse response (FIR) digital filters; spectrum analysis algorithms, Fast Hartley transformation; CPU cache friendly functions and extremely fast abstract...
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    Downloads: 14 This Week
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  • 2
    m6811dis

    m6811dis

    M6811 Code-Seeking Disassembler

    The M6811 Code-Seeking Disassembler is a command-line tool that lets you enter known starting vectors for a given code image for the 6811 micro. It will disassemble the code and follow through branches to assist in the separation of code and data. Its companion Fuzzy Function Analyzer uses DNA Sequence Alignment Algorithms to locate similar code in multiple binaries, facilitating reverse-engineering.
    Downloads: 0 This Week
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  • 3
    Speakable Programming for Every Language

    Speakable Programming for Every Language

    Your language to speak with all.

    This project has the language data for spel, the main new codebase is at: https://gitlab.com/liberit/pyac A computer programming language using human language syntax for human-to-human and human-to-computer communication with high precision, supporting many languages.
    Downloads: 0 This Week
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  • 4

    rodneyspr

    Re-imagining of Heisermann's classic Self-Programming Robot

    This project comprises two main parts: 1. The classic "Rodney" as described in David L. Heisermann's book "How to build your own self-programming robot", with the original Intel 8085 code. In all likelihood, this is for reference only. I don't expect many people are going to build it 2. An updated version, running on more modern hardware, but remaining true to the algorithms published in his book.
    Downloads: 0 This Week
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