Search Results for "spambayes"
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Showing 7 open source projects for "spambayes"
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Agentic AI SRE built for Engineering and DevOps teams.NeuBird AI's agentic AI SRE delivers autonomous incident resolution, helping team cut MTTR up to 90% and reclaim engineering hours lost to troubleshooting.
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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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Bayes Anti-Spam
Anti Spam AddIn / Plugin for Outlook
For Outlook I had been using the SpamBayes plugin for years in order to remove spam e-mails. However, with Outlook 365 the addin stopped working for me. This reimplementation enables you to mark e-mails as spam or valid. Based on your input the addin learns how to classify e-mails. If the addin detects spam then it will move the e-mail to a configurable folder in Outlook. -
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*** NOTE: Version 4.0 development has moved to https://github.com/Hallikas/sspamm ... This space has saved as legacy data Semi's Spam Milter (sspamm), is python based SPAM filter for Sendmail that utilizes spambayes heurestic spam filtering. You also need Python Milter and Spambayes.
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Not all email clients have Spam filtering (and training) built in. Spam Trainer provides easy (drag and drop) training from your mail client, passing messages through to your spam filter (e.g. Spambayes) via command line scripts.
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Collect! is a highly configurable debt collection softwareThe flexible & scalable debt collection software built to automate your workflow. From startup to enterprise, we have the solution for you.
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This is a geek-oriented server-side spam filtering tool, running on Linux, based on spambayes and BerkelyDB, written mainly in python but with a little C. Goals of this project are: filtering precision, performance, customizability, code quality, fun ;)
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Quotient is multi-protocol (SMTP, POP, IMAP, SIP, HTTP, Q2Q) server that helps with all your online conversations be they over email, IRC, IM, mailing lists or voice over IP. It is written in Python on the Twisted framework and uses Lupy and SpamBayes.
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