Showing 4 open source projects for "course"

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  • 1

    ringBufU

    Ring-Buffer library in C, includes support of multithreading

    A Ring-Buffer instance could be used with element types - char - long - long long - void* . Focus is on a hardened SW structure with buffer-instance-pointer check (not very fast but more secure). Some features are globally choosable on compile-time (e.g. switch multithread support off completely to have faster access). Note: User Interface is for Test and Tutor Code only.
    Downloads: 0 This Week
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  • 2
    LTUI

    LTUI

    A cross-platform terminal ui library based on Lua

    ...Similar to the Linux kernel's menuconf to configure the compilation parameters, so using curses and lua to implement a cross-platform character terminal ui library. Refer to config-frontends for style rendering. Of course, users can customize different UI styles.
    Downloads: 0 This Week
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  • 3

    Wheefun Ingeniously Retro Engine

    Low-Level Game Engine for Retro Platforms

    ...Originally written for a game called the Crypts of Eldor, WFIRE aims to provide compatibility with a number of constrained environments, such as DOS and the Amiga. It also aims for "new-retro" computers such as the Commander X16 and the Neon816. Of course, modern operating environments such as Windows NT and GNU/Linux are also planned. WFIRE is meant to reduce the effort of writing your own game engine by providing a common framework for functions such as rendering, sound output, and display management.
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  • 4
    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 the layers of the network but also the shapes of data that are passed between the layers. To perform back propagation, one can call the eponymous function which takes a network, appropriate input, and target data, and returns the back propagated gradients for the network. ...
    Downloads: 0 This Week
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