Search Results for "human modelling"
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Showing 2 open source projects for "human modelling"
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Award-Winning Medical Office Software Designed for Your SpecialtyRXNT is an ambulatory healthcare technology pioneer that empowers medical practices and healthcare organizations to succeed and scale through innovative, data-backed, AI-powered software.
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Turn traffic into pipeline and prospects into customersDocket is an AI-powered sales enablement platform designed to unify go-to-market (GTM) data through its proprietary Sales Knowledge Lake™ and activate it with intelligent AI agents. The platform helps marketing teams increase pipeline generation by 15% by engaging website visitors in human-like conversations and qualifying leads. For sales teams, Docket improves seller efficiency by 33% by providing instant product knowledge, retrieving collateral, and creating personalized documents. Built for GTM teams, Docket integrates with over 100 tools across the revenue tech stack and offers enterprise-grade security with SOC 2 Type II, GDPR, and ISO 27001 compliance. Customers report improved win rates, shorter sales cycles, and dramatically reduced response times. Docket’s scalable, accurate, and fast AI agents deliver reliable answers with confidence scores, empowering teams to close deals faster.
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Mechaglot, Calculate Semantic Similarity
Calculate semantic similarity for any human and human-like languages
WARNING: There are too many false-positives! This is Alpha release, expect many things to improve, including the algorithms. PLEASE GO TO BROWSE ALL FILES TO READ A FULL DESCRIPTION. The goal of this project is simple: Input two sentences of the same language, and obtain the number (from 0 to 1) denoting the similarity between the inputted sentences, according to semantic categories. This project models my previous... -
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Global Epidemic Simulator
A platform for modelling influenza-like epidemics and containment
The Global Epidemic Simulator is a platform for modelling directly transmissible human diseases such as influenza, and testing intervention policies that may reduce the duration or severity of an outbreak of such a disease. Building on previous work, this model is spatial and individual-based, using various geographical and demographic data sources to place households at absolute locations, populated with individuals of specific ages who each attend schools or workplaces situated in their vicinity. ...
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