Showing 3 open source projects for "bayesian python"

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    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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    Increase customer and employee retention by offering Onwatch identity protection today.

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  • 1
    RadicalSpam Virtual Appliance

    RadicalSpam Virtual Appliance

    Virtual Appliance of RadicalSpam

    RadicalSpam Virtual Appliance takes full solution of RadicalSpam Community Edition , pre-installed in a OVF virtual machine ( Open Virtual Format ) compatible with the best virtualization platforms on the market , including VMware ESX Server. More information : http://www.radical-spam.org
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  • 2
    RadicalSpam

    RadicalSpam

    Open Source Anti-Spam and Anti-Virus Gateway

    RadicalSpam is a free and open source package distributed under GPL v2, including products such as Postfix, SpamAssassin Amavisd-new, Clamav, Razor, DCC, Postgrey, Bind; providing a secure SMTP relay, ready to use with linux and docker environement. More information : http://www.radical-spam.org
    Downloads: 0 This Week
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  • 3
    ASSP Server Project
    The Anti-Spam SMTP Proxy (ASSP) Server project aims to create an open source platform-independent SMTP Proxy server which implements auto-whitelists, self learning Bayesian, Greylisting, DNSBL, DNSWL, URIBL, SPF, SRS, Backscatter, Virus scanning, attachment blocking, Senderbase and multiple other filter methods. Click 'Browse all files' to download the professional version 2.4.3 build 14313. V1 development has been stopped in May 2014. Possibly there will be done some bugfixing until end...
    Downloads: 0 This Week
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