Original macOS Keyboard Maestro actions by Minja.

📬 Simple, private file sharing. Mirror of https://gitlab.com/timvisee/send

Awesome Ruby and Rails Open Source applications 🌈

Fight the forgetting curve by reviewing flashcards & entire notes on Obsidian.md

hallelujahIM(哈利路亚 英文输入法) is an intelligent English input method with auto-suggestions and spell check features.

A fancy self-hosted monitoring tool

Password-protect URLs using AES in the browser; create hidden bookmarks without a browser extension

In addition to helping you memorise, this code helps you do other things that I don't remember...

Andy Matuschak Mode as a plugin

Electron Tray Mac OS X Example App

A Git-based CMS for Static Site Generators

Create agents that monitor and act on your behalf. Your agents are standing by!

Crowd-sourced code mentorship. Practice having thoughtful conversations about code.

Focalboard is an open source, self-hosted alternative to Trello, Notion, and Asana.

Import JSON into Google Sheets, this library adds various ImportJSON functions to your spreadsheet

Slick, declarative command line video editing & API

📊 An infographics generator with 30+ plugins and 300+ options to display stats about your GitHub account and render them as SVG, Markdown, PDF or JSON!

A Dark Theme for Home Assistant

Tabler is free and open-source HTML Dashboard UI Kit built on Bootstrap

Create custom, lightweight macOS apps from websites

📚 The definitive guide to TypeScript and possibly the best TypeScript book 📖. Free and Open Source 🌹

Roadmap to learn Data Science and related areas.

Path to become data scientist is step by step collection of videos and reading material to become data scientist.

Toturials coming with the "data science roadmap" picture.

Learning from multiple companies in Silicon Valley. Netflix, Facebook, Google, Startups

📊 Path to a free self-taught education in Data Science!

😎 A curated list of awesome GitHub Profile READMEs 📝

Fast and accurate React renderer for Notion. TS batteries included. ⚡️

🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.