Showing 4 open source projects for "*fuzzy"

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  • 1
    Gum

    Gum

    A tool for glamorous shell scripts

    A tool for glamorous shell scripts. Leverage the power of Bubbles and Lip Gloss in your scripts and aliases without writing any Go code! Gum provides highly configurable, ready-to-use utilities to help you write useful shell scripts and dotfiles aliases with just a few lines of code. Let's build a simple script to help you write Conventional Commits for your dotfiles. Use a package manager. gum is designed to be embedded in scripts and supports all sorts of use cases. Components are...
    Downloads: 19 This Week
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  • 2
    zoxide

    zoxide

    A smarter cd command, supports all major shells

    It remembers which directories you use most frequently, so you can "jump" to them in just a few keystrokes. zoxide works on all major shells. zoxide is a smarter cd command, inspired by z and auto jump. fzf is a command-line fuzzy finder, used by zoxide for interactive selection. zoxide supports fzf v0.21.0+. Environment variables can be used for configuration. They must be set before zoxide init is called.
    Downloads: 2 This Week
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  • 3
    RE/flex lexical analyzer generator

    RE/flex lexical analyzer generator

    The regex-centric, fast lexical analyzer generator for C++

    A C++ high-performance regex library and Flex-compatible lexical analyzer generator with full Unicode support, new indentation anchors, lazy quantifiers, and many other modern features. Accepts Flex lexer specification syntax and is compatible with Bison/Yacc parsers. Generates reusable source code that is easy to understand. Supports fast scanning of UTF-8/16/32 files, strings, and streams. The reflex scanner generator generates clean C++ lexer class code that is thread-safe. Generates...
    Downloads: 6 This Week
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  • 4
    Fast Fuzzy Inference System
    FFIS or Fast Fuzzy Inference System is a portable and optimized implementation of Fuzzy Inference Systems. It supports both Mamdani and Takagi-Sugeno methods. The main idea behind this tool, is to provide case-special techniques rather than general solutions to resolve complicated mathematical calculations. This will lead to have more efficient defuzzification algorithms for Mamdani's model.
    Downloads: 0 This Week
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