Showing 2 open source projects for "real‑esrgan"

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  • EasySend is a no-code platform that transforms customer journeys Icon
    EasySend is a no-code platform that transforms customer journeys

    Defy form limits. 
Create digital experiences.

    Evolve forms into smart, AI-powered digital workflows that streamline your data intake and elevate customer experiences.
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  • Empower Your Contact Center with Human-Like AI Conversations Icon
    Empower Your Contact Center with Human-Like AI Conversations

    Deliver faster resolutions, lower costs, and better CX without hiring another agent.

    Enterprise Bot, based in Switzerland, is a pioneer in Conversational AI, Process Automation, and Generative AI. With the trust of esteemed enterprise giants across industries like Generali, SIX, SBB, DHL, and SWICA, Enterprise Bot is revolutionizing both customer and employee experiences. Through its advanced integration with Large Language Models (LLM) such as ChatGPT and Llama 2, and its unique patent-pending DocBrain technology, the company delivers unparalleled personalization, active engagement, and omnichannel solutions across platforms like email, voice, and chat. Furthermore, Enterprise Bot integrates with existing core systems, such as SAP, CRMs, Confluence and more, and with its proprietary middleware, Blitzico, enables the AI to not only respond to queries but also take action to resolve them. This dedication to innovation in four main use case areas, Customer Support, Sales and Marketing, Knowledge Management and Digital Coworker, elevates both CX and employee productivity.
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  • 1

    Multiple optima

    Scripts used to detect multiple optima of likelihood on real data.

    R scripts and sequence data used in the paper "Multiple local maxima for likelihoods of phylogenetic trees constructed from biological data." by McComish BJ, Schliep KP and Penny D (submitted to Systematic Biology).
    Downloads: 0 This Week
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  • 2
    YANG J. (Yet Another Network Generator)
    YANG (Yet Another Network Generator - Java) enables you to generate social networks given various social rules observed in the real population. Uses: generate realistic networks to be used in individual-centric models, teaching or benchmarking.
    Downloads: 0 This Week
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