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Skillfully - The future of skills based hiring
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Skillfully transforms hiring through AI-powered skill simulations that show you how candidates actually perform before you hire them. Our platform helps companies cut through AI-generated resumes and rehearsed interviews by validating real capabilities in action. Through dynamic job specific simulations and skill-based assessments, companies like Bloomberg and McKinsey have cut screening time by 50% while dramatically improving hire quality.
The Accelerator Markup Language (AML) / Universal Accelerator Parser (UAP) project will develop an XML based format for describing high energy particle accelerators along with associated software to convert lattice files to a standard internal struct
A common markup language and a parser to generate documentation in any target format (Html, Latex, Trac, Mediawiki...). The core command relies on a Tcl library: it is easy to create new target formats. Doc files are parameterizable via a header.
Create or parse ANY Mark-up Language (HTML XML X3D VRML MathML XAML XDP CDA SCORM COLLADA XBRL) file or string into a simple and versatile MLDocument, MLElement, MLParameter hierarchical object model, written in VB 6 (Win32). Alternative to using DOM.
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LiMa means Lightweight Markup Language. It is a parser for an easy to use ASCII/Text-based markup - comparable to Markdown or the Wikipedia-Markup language with special configurable extensions in defining Links and image-resources.
This project will create a scheme to markup Java source code with XML, generating useful analysis from the markups, and transforming the XML files into javadocs (HTML files).
LearnML is a XML based markup language to put learning materials in the web.
Based on a simple syntax, LearnML documents can be transformed to any kind of web page (HTML, XHTML) or (printable) PDF document.