Showing 4 open source projects for "algorithms"

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  • 1
    Red Programming Language

    Red Programming Language

    Red is a next-generation programming language

    Red is a next-generation programming language strongly inspired by Rebol, but with a broader field of usage thanks to its native-code compiler, from system programming to high-level scripting and cross-platform reactive GUI, while providing modern support for concurrency, all in a zero-install, zero-config, single 1MB file! During the work on the low-level parts of the new Red lexer, the need arised for intra-function factorization abilities to keep the lexer code as DRY as possible....
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  • 2
    Mega Project List

    Mega Project List

    List of practical projects that anyone can solve in any prog language

    Mega Project List by Karan Goel is a massive list of practical programming project ideas that anyone can solve in any programming language, organized into logical categories (Numbers, Classic Algorithms, Data Structures, Text, Networking, Web, Files, Graphics & Multimedia, Security, etc.). The concept is simple but powerful: instead of just memorizing algorithms, you pick a project (for example “Binary to Decimal and Back Converter”), implement it in your favorite language, and gradually build a portfolio of varied programming tasks. ...
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  • 3
    KAREL 3D WebGL

    KAREL 3D WebGL

    Children's learning programming language Karel the Robot in 3D

    KAREL 3D written in JavaScript with WebGL is a children's programming language for teaching algorithms. This is later variant from Karel the Robot in 3D, created in 1986 for 8bit microcomputer PMD 85-2. Support full recursion, create new commands, complex commands with condition from dialog and direct control with keys, language translation. Objects: brick, wall, mark, fence. Check out the Wiki (here) for more examples and pictures.
    Downloads: 0 This Week
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  • 4
    Edward

    Edward

    A probabilistic programming language in TensorFlow

    ...It enables features such as computational graphs, distributed training, CPU/GPU integration, automatic differentiation, and visualization with TensorBoard. Expectation-Maximization, pseudo-marginal and ABC methods, and message passing algorithms.
    Downloads: 2 This Week
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