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121–144 of 2,716 · Most stars

🪐 Markdown with superpowers: from ideas to papers, presentations, websites, books, and knowledge bases.

  • markdown
  • markup-language
  • paper
  • scripting-language

🍃 Organic Maps is a free Android & iOS offline maps app for more than 12M travelers, tourists, hikers, and cyclists. It uses crowd-sourced OpenStreetMap data and is developed with love by the community. No ads, no tracking, no data collection, no crapware. Please donate to support the development!

TranslatedTurn any webpage/HTML/Vue/React and so on into desktop and mobile app under 5M with easy in few minutes. https://ppofficial.netlify.app

Zotero is a free, easy-to-use tool to help you collect, organize, annotate, cite, and share your research sources.

NoSQL data store using the Seastar framework, compatible with Apache Cassandra and Amazon DynamoDB

  • nosql
  • c-plus-plus
  • scylla
  • seastar

Um guia extenso de informações com um vasto conteúdo de várias áreas para ajudar, agregar conhecimento e retirar dúvidas, nesse guia você encontrará tudo que necessário para qualquer carreira relacionada a tecnologia.

Modern, Crazy Fast, Ridiculously Easy and Amazingly Powerful Flat-File CMS powered by PHP, Markdown, Twig, and Symfony

  • php
  • cms
  • flat-file
  • content

Self-hosted Speed Test for HTML5 and more. Easy setup, examples, configurable, mobile friendly. Supports PHP, Node, Multiple servers, and more

  • html5-speedtest
  • speedtest
  • web-worker
  • xhr

TranslatedA concise and elegant Dictionary and Translator macOS App for looking up words and translating text. Works out of the box, supports offline OCR recognition, and supports Youdao Dictionary, 🍎 Apple System Dictionary, 🍎 Apple System Translation, OpenAI, Gemini, DeepL, Google, Bing, Tencent, Baidu, Alibaba, Niutrans (小牛), Caiyun, and Volcano Translate.

  • dictionary
  • translate
  • app
  • macos

TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performant way.