Showing 6 open source projects for "self learning ai"

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  • 1
    OneFile

    OneFile

    Curates delightful open-source projects

    OneFile curates delightful open-source projects that each consist of a single file, highlighting how much you can learn from compact, self-contained code. The collection spans tiny games, utilities, servers, interpreters, and teaching demos where the entire idea fits in one readable source. This “one file” constraint makes every example approachable—you can open it, grasp the full control flow, and experiment without navigating a large codebase. It’s ideal for learners seeking quick wins or...
    Downloads: 0 This Week
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  • 2
    8cc C Compiler

    8cc C Compiler

    Compiler for the C programming language

    8cc C Compiler is a small and educational C compiler designed to support the C11 standard while maintaining a compact and easy-to-understand codebase. It was created as a hobby project with the goal of demonstrating how a compiler works internally, making it a valuable resource for learning compiler design. The project includes core components such as a lexer, parser, and preprocessor, allowing users to explore each stage of the compilation process. One of its notable features is its ability...
    Downloads: 4 This Week
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  • 3
    Project EVE AI
    EVEAI is a Deep Learning Library based on python Keras and Tensorflow. EVEAI dll allows embedding inference images from keras models into user-written applications. Under Windows, the EVEAI training Tool provides services to train user specific image datasets and EVEAI dll provides services to existing Windows applications which support inference images. Please visit https://github.com/Hommoner/EVEAI for more information.
    Downloads: 0 This Week
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  • 4
    X11workbench

    X11workbench

    X11 developer's 'workbench' and lightweight toolkit API

    (preliminary) X11 developer's 'workbench' application using a lightweight statically linked custom toolkit that is intended to be used by X11 applications built with the X11 Workbench. The primary goal of the toolkit is ease of use (short learning curve), lightweight self-contained executables, UI speed, cross platform compatibility, and minimal dependencies. The primary goal of the workbench is to provide an editor on X11 platforms that integrates development, provides rapid development tools (like 'wizards' and safe X11 debugging), and allows you to move the cursor past the end of a line without creating 'end of line' whitespace or 'bouncing' the cursor horizontally while scrolling vertically. ...
    Downloads: 0 This Week
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  • 5

    SynthePG

    Live Music Compositor learning base on TPG

    This android app is producing music and partition sheets in real time. Furthermore, the AI module can be activated and be trained to learn you prefered style and play it. You can also team play your music with the interconnect mode. Finally, move your phone like a 'chef d'orchestre' and see how it changes the music...
    Downloads: 0 This Week
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  • 6
    Grenade

    Grenade

    Deep Learning in Haskell

    Grenade is a composable, dependently typed, practical, and fast recurrent neural network library for concise and precise specifications of complex networks in Haskell. Because the types are so rich, there's no specific term level code required to construct this network; although it is of course possible and easy to construct and deconstruct the networks and layers explicitly oneself. Networks in Grenade can be thought of as a heterogeneous list of layers, where their type includes not only...
    Downloads: 0 This Week
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