🌍 Improve Arabic and Persian readability on any website with this Chrome extension that ensures correct text direction automatically.
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Updated
Feb 8, 2026 - JavaScript
🌍 Improve Arabic and Persian readability on any website with this Chrome extension that ensures correct text direction automatically.
PostCSS plugin to automatically build Cascading Style Sheets (CSS) with Left-To-Right (LTR) and Right-To-Left (RTL) rules using RTLCSS
Widgetnas is persian framework of html and js for rtl and ltr languages.---ویجت نس یک فریک ورک فارسی است که دارای موضوعات مختلفی برای ارتباط با کلاینت و سرور است.
Learning to rank (LTR) with noisy labels and simulation of how noise affects quality of ranking
A demo project for a reporting service built with jasperreports & spring boot with advanced features.
✨ Kitab - Multilingual blog starter • 4 languages (EN/AR/FR/UR) • RTL/LTR • Next.js 16 • Supabase • Built with Noor UI
Bilingual Starter is a modern React template designed for building bilingual (or multilingual) applications with ease. It comes pre-configured with English and Arabic support, automatic RTL/LTR switching, and a clean design using Tailwind CSS v4. Perfect for developers looking to streamline internationalization (i18n) in their projects.
BiDi Mail UI: Thunderbird extension for improved right-to-left language support
Enhance your workflow in Google's AI Studio! This cross-browser extension gives you full control over text direction (RTL/LTR) for the main editor, code blocks, and headers. Perfect for users of Persian, Arabic, and other RTL languages.
A complete system tray (notification area) implementation for WinUI 3 apps. Supports icons, context menus, multi-language (LTR/RTL), window management, and taskbar recreation handling.
Learning-to-Rank on MS MARCO Passages: candidate generation from prebuilt indexes and re-ranking for QA search
Exploring Learning-to-Rank (LTR) with Apache Solr, Java and Gradient-Boosted Decision Trees
Unicode BiDirectional data and ordering algorithm implementation in C#
A command line tool for training and evaluating ranking models using LightGBM and FastTree
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