Showing 7 open source projects for "machine learning python"

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  • 1
    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. Currently has alpha prototype support for analytic versions of the UN languages English, Mandarin Chinese, Spanish, Arabic, Russian...
    Downloads: 0 This Week
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  • 2
    ALiVE
    A tool that helps develope the course of cognitive thought processes through software. This tool will look at the raw hex code of any input. It establishes pattern recognition over a mesured time incrament that in itself is at a different pace.
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  • 3
    LogoROS is new object-oriented operation system (currently in early development). See wiki page: https://sourceforge.net/apps/mediawiki/logoros/ and development blog: https://sourceforge.net/apps/wordpress/logoros/ for more info.
    Downloads: 0 This Week
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  • 4
    Dinaao Is Not An Apple One Emulator. It does however already run most apple1 software. It runs on the command line so cut and paste works perfectly. A great 65C02/Basic learning/development environment.
    Downloads: 0 This Week
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  • 5
    The Wolfram Machine project is an effort to create a set of documentation and useful modules (both hardware and software) for a computing architecture based on the mathematical theories presented in Steven Wolfram's book _A_New_Kind_of_Science_.
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  • 6
    ...Optional typing, ie dynamic or static typing. Richly typed. Higher-level mathematics support, for example Complex numbers, Rational numbers and Matrices. Virtual Machine architecture. Co-routines. Familiar language syntax, influenced by Object Pascal, Python and Ada.
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  • 7
    RUG is an universal machine-friendly binary file generator. Together with suitable macro packages, it can be used to assemble executables for almost any known processor. The main goal is to build a backend for a future Scheme translator.
    Downloads: 0 This Week
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