Showing 4 open source projects for "teaching"

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    Vanilla Web Projects

    Vanilla Web Projects

    Mini projects built with HTML5, CSS & JavaScript

    vanillawebprojects is a collection of small, hands-on web apps built with only HTML, CSS, and plain JavaScript to teach core front-end skills without frameworks. Each project targets a concrete concept—DOM manipulation, events, localStorage, fetch, form validation, audio/video APIs, and more—so learners see ideas applied in working code. The codebases are intentionally compact and readable, making them easy to clone, tweak, and extend. Projects progress from beginner-friendly to moderately...
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  • 2
    Solved by Flexbox

    Solved by Flexbox

    A showcase of problems once hard or impossible to solve with CSS

    ...The project emphasizes progressive enhancement and calls out where fallbacks or browser caveats may apply, reflecting the realities of shipping layouts on the web. Even as CSS Grid gained traction, the patterns remain a practical reference for component-level alignment and one-dimensional layouts where Flexbox excels. As a teaching resource, it has helped countless developers internalize Flexbox mental models and replace brittle layout tricks with robust, modern CSS.
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  • 3
    HTML5 Demos and Examples

    HTML5 Demos and Examples

    Collection of hacks and demos showing capability of HTML5 apps

    ...Though no longer actively maintained, the archive still contains hundreds of creative examples that can teach fundamentals and spur experimentation with web features. Developers historically used it as a reference when testing browser support for features or teaching newcomers how specific APIs behave in real code.
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  • 4
    Synaptic

    Synaptic

    Architecture-free neural network library for node.js and the browser

    Synaptic is a javascript neural network library for node.js and the browser, its generalized algorithm is architecture-free, so you can build and train basically any type of first order or even second order neural network architectures. This library includes a few built-in architectures like multilayer perceptrons, multilayer long-short term memory networks (LSTM), liquid state machines or Hopfield networks, and a trainer capable of training any given network, which includes built-in...
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