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Bootstrap (formerly Twitter Bootstrap) is a free and open-source CSS framework directed at responsive, mobile-first front-end web development. It contains HTML, CSS and (optionally) JavaScript -based design templates for typography, forms, buttons, navigation, and other interface components. As of May 2023, Bootstrap is the 17th most starred ...
Font Awesome is a font and icon toolkit based on CSS and Less. As of 2023, Font Awesome was used by 30% of sites that use third-party font scripts, placing Font Awesome in second place after Google Fonts. History. It was made by Dave Gandy for use with Bootstrap. Font Awesome can be downloaded from BootstrapCDN.
ICO (file format) The ICO file format is an image file format for computer icons in Microsoft Windows. ICO files contain one or more small images at multiple sizes and color depths, such that they may be scaled appropriately. In Windows, all executables that display an icon to the user, on the desktop, in the Start Menu, or in file Explorer ...
Tailwind CSS is an open-source CSS framework. The main feature of this library is that, unlike other CSS frameworks like Bootstrap, it does not provide a series of predefined classes for elements such as buttons or tables. Instead, it creates a list of "utility" CSS classes that can be used to style each element by mixing and matching.
File:Bootstrap logo.svg. Size of this PNG preview of this SVG file: 512 × 408 pixels. Other resolutions: 301 × 240 pixels | 602 × 480 pixels | 964 × 768 pixels | 1,280 × 1,020 pixels | 2,560 × 2,040 pixels. Original file (SVG file, nominally 512 × 408 pixels, file size: 2 KB) This is a file from the Wikimedia Commons.
Bootstrap Studio is a proprietary web design and development application. It offers a large number of components for building responsive pages including headers, footers, galleries and slideshows along with basic elements, such as spans and divs. The program can be used for building websites and prototypes.
Artificial intelligence and machine learning. Bootstrapping is a technique used to iteratively improve a classifier 's performance. Typically, multiple classifiers will be trained on different sets of the input data, and on prediction tasks the output of the different classifiers will be combined.
e. Word2vec is a technique in natural language processing (NLP) for obtaining vector representations of words. These vectors capture information about the meaning of the word based on the surrounding words. The word2vec algorithm estimates these representations by modeling text in a large corpus. Once trained, such a model can detect synonymous ...