Showing 4 open source projects for "no code ai design"

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  • Cloud tools for web scraping and data extraction Icon
    Cloud tools for web scraping and data extraction

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  • 1
    Gitit

    Gitit

    A wiki using HAppS, pandoc, and git

    Gitit is a wiki application written in Haskell that uses Happstack for serving and Pandoc for markup conversion. Wiki content and attachments are stored in Git, Darcs, or Mercurial repositories, allowing versioning via VCS or web editing. To run gitit, you'll need git in your system path. (Or darcs or hg, if you're using darcs or mercurial to store the wiki data.) Gitit assumes that the page files (stored in the git repository) are encoded as UTF-8. Even page names may be UTF-8 if the file...
    Downloads: 0 This Week
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  • 2
    Clash

    Clash

    Haskell to VHDL/Verilog/SystemVerilog compiler

    ...Clash is built on Haskell which provides an excellent foundation for well-typed code. Together with Clash's standard library it is easy to build scalable and reusable hardware designs. Load your designs in an interpreter and easily test all your component without needing to setup a test bench. Although Clash offers many features, you sometimes need to directly access VHDL, Verilog, or SystemVerilog directly.
    Downloads: 3 This Week
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  • 3
    Tidal

    Tidal

    Pattern language

    Tidal Cycles (or just Tidal for short) is software for making patterns with code, whether live coding music at algoraves or composing in the studio. It includes a simple and flexible notation for rhythmic sequences and an extensive library of patterning functions for combining and transforming them. This allows you to quickly create complex patterns from simple ingredients. By default, sound is made with the featureful SuperDirt synth/sampler, but you can control other synths using Open...
    Downloads: 1 This Week
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  • 4
    Kitten

    Kitten

    A statically typed concatenative systems programming language

    ...Programs are composed by chaining small words that transform a typed stack, and the compiler uses type inference to ensure compositions are valid. The language explores disciplined handling of side effects, aiming to separate pure transformations from operations that perform I/O or mutate state. Its design encourages small, reusable building blocks that compose cleanly, while still permitting low-level control where performance matters. The implementation targets efficient compiled code and investigates how advanced type systems can improve reliability in a stack-based language. As a research project, Kitten serves both as a language to experiment with and as a vehicle for ideas about safety and structure in concatenative programming.
    Downloads: 0 This Week
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  • Free and Open Source HR Software Icon
    Free and Open Source HR Software

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