Realistic Workplace Simulations that Show Applicant Skills in Action
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.
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Award-Winning Medical Office Software Designed for Your Specialty
Succeed and scale your practice with cloud-based, data-backed, AI-powered healthcare software.
RXNT is an ambulatory healthcare technology pioneer that empowers medical practices and healthcare organizations to succeed and scale through innovative, data-backed, AI-powered software.
JSesh is an ancient Egyptian hieroglyphic text processor, currently used by professionnals and amateurs alike. It runs on all platforms supporting java (Mac, Windows, Linux). It can be used as a library for your own softwares too.
SOURCES HAVE MOVED TO GITHUB: https://github.com/rosmord/jsesh
The Repast Suite is a family of free agent-based modeling libraries.
The Repast Suite is a family of advanced, free, and open source agent-based modeling and simulation platforms that have been under continuous development for over 20 years. Current source code and releases are hosted on Github https://repast.github.io/
The Virtual Commons (http://commons.asu.edu) is an open software initiative devoted to computational experiments on collective action and resource governance and funded by Arizona State University's Center for Behavior, Institutions, and the Environment (http://cbie.asu.edu).
NOTE: we've moved our development to GitHub at https://github.com/virtualcommons - please look for the latest versions there.
JUNG provides a common and extendible language for the modeling, analysis, and visualization of data that can be represented as a graph or network.
New version now available on GitHub: https://github.com/jrtom/jung/releases/tag/jung-2.1
The full-stack observability platform that protects your dataLayer, tags and conversion data
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