Sudheera Njs's Projects
SEO and social network optimized HTML5 starter template. Includes tag blocks for Twitter cards, Open Graph, and Schema.org integration
A Fast and Flexible Static Site Generator built with love in GoLang
πJalpc -- A Flexible Jekyll Theme, 3 steps to build your website.
As the name suggests
JavaScript Style Guide
Jekyll Cayman theme
jQuery JavaScript Library
File Upload widget with multiple file selection, drag&drop support, progress bar, validation and preview images, audio and video for jQuery. Supports cross-domain, chunked and resumable file uploads. Works with any server-side platform (Google App Engine, PHP, Python, Ruby on Rails, Java, etc.) that supports standard HTML form file uploads.
High performance and SEO friendly lazy loader for images (responsive and normal), iframes and more, that detects any visibility changes triggered through user interaction, CSS or JavaScript without configuration.
:leaves: JavaScript library for mobile-friendly interactive maps
Less is a CSS pre-processor, meaning that it extends the CSS language, adding features that allow variables, mixins, functions and many other techniques.
Desktop/Android/HTML5/iOS Java game development framework
The perfect library for adding search, sort, filters and flexibility to tables, lists and various HTML elements. Built to be invisible and work on existing HTML.
Plain python implementations of basic machine learning algorithms
A collection of machine learning examples and tutorials.
Design resources for Material Design.
Material Design Components in HTML/CSS/JS
React Components that Implement Google's Material Design.
Improved Meteor emails with templating, previews and automated CSS/SCSS inlining.
Full featured and completely customizable django site for organizations.
Models and examples built with TensorFlow
a cool way to use natural language in javascript
Node.js JavaScript runtime :sparkles::turtle::rocket::sparkles:
Open source SEO tool
OpenVR SDK
open source Q&A system
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)