Material UI: Comprehensive React component library that implements Google's Material Design. Free forever.
- react-components
- react
- material-design
- material-ui
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Material UI: Comprehensive React component library that implements Google's Material Design. Free forever.
24 Lessons, 12 Weeks, Get Started as a Web Developer
TranslatedHan Xiankai's (韩先凯) Life Advancement Guide: a bilingual Chinese-English lifelong learning guide for the AI era, covering AI, learning, entrepreneurship, wealth, love, and life
Front End interview preparation materials for busy engineers (updated for 2026)
Materialize, a CSS Framework based on Material Design
An interactive git visualization and tutorial. Aspiring students of git can use this app to educate and challenge themselves towards mastery of git!
Quasar Framework - Build high-performance VueJS user interfaces in record time
Mostly adequate guide to FP (in javascript)
Translated"Getting Started with ECMAScript 6" is an open-source JavaScript language tutorial that comprehensively introduces the new syntax features added in ECMAScript 6.
💻 Vibe Coding 101|Your First Course For AI Product Builders.
🛠️⚡ Step-by-step tutorial to build a modern JavaScript stack.
Full featured HTML framework for building iOS & Android apps
Pragmatic, balanced FP in JavaScript. @FLJSBook on twitter.
📻Free and open-sourced terminal/ssh/sftp/ftp/telnet/serialport/RDP/VNC/Spice client(Linux, Mac, Windows, Android, HarmonyOS, iOS)
Translated"Learn Node.js Together"
Cross-browser storage for all use cases, used across the web.
JavaScript Robotics and IoT programming framework, developed at Bocoup.
𝙃𝙪𝙜𝙚 collection of Tailwind MIT licensed (free) components, sections and templates 😎
An extended table for integration with some of the most widely used CSS frameworks. (Supports Bootstrap, Semantic UI, Bulma, Material Design, Foundation, Vue.js)
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
jQuery Form Plugin
Lightweight CSS framework
Click effect inspired by Google's Material Design
JavaScript library enabling SVG icons to morph from one to the other. It implements Material Design's Delightful Details transitions. (THIS PROJECT IS NOT MAINTAINED ANYMORE)