Showing 4 open source projects for "transfer function"

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  • 1
    Stylus for Chrome

    Stylus for Chrome

    Stylus - Userstyles Manager

    Stylus is a fork of Stylish for Chrome, also compatible with Firefox as a WebExtension. "Stylus" is a fork of the popular Stylish extension which can be used to restyle the web. Not "ish", but "us", as in "us" the actual users. Stylus is a fork of Stylish that is based on the source code of version 1.5.2, which was the most up-to-date version before the original developer stopped working on the project. The objective in creating Stylus was to remove any and all analytics, and return to a...
    Downloads: 13 This Week
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  • 2
    Nunjucks

    Nunjucks

    A rich and powerful templating language for JavaScript

    A powerful templating engine with inheritance, asynchronous control, and more (jinja2 inspired). You've been looking for a more sophisticated templating engine for JavaScript. Here it is. Rich Powerful language with block inheritance, autoescaping, macros, asynchronous control, and more. Heavily inspired by jinja2. Fast & Lean High-performant. Small 8K gzipped runtime with precompiled templates in the browser. Crazy extensible with custom filters and extensions. Everywhere available in node...
    Downloads: 2 This Week
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  • 3
    eDEX-UI

    eDEX-UI

    Customizable science fiction terminal emulator

    eDEX-UI is a fullscreen, cross-platform terminal emulator and system monitor designed with a customizable science fiction computer interface. Inspired by the TRON Legacy movie effects, eDEX-UI presents a futuristic look and feel while still being able to function as a full-featured terminal emulator. eDEX-UI offers advanced monitoring support for real-time systems and networks. It also offers full touchscreen support; a directory viewer; and for a completely unique sci-fi experience,...
    Downloads: 1,486 This Week
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  • 4
    PadotusRNDT.js

    PadotusRNDT.js

    This library allows you to generate a random number

    This library allows you to generate a random number in the specified range from 0 to n, without using the built-in function Math.random (), and gets a random number from the processing time of polymorphic mathematical calculations, which depends on the current physical parameters of the CPU, RAM, and t .P. The resulting sequence corresponds to a discrete uniform distribution and is close to natural random sequences in terms of statistical randomness tests (LFSR, Approximate Entropy, DIEHARD Test).
    Downloads: 0 This Week
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