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Showing 4 open source projects for "neural net python"
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Iris Powered By Generali - Iris puts your customer in control of their identity.Iris Identity Protection API sends identity monitoring and alerts data into your existing digital environment – an ideal solution for businesses that are looking to offer their customers identity protection services without having to build a new product or app from scratch.
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Failed Payment Recovery for Subscription BusinessesFlexPay’s innovative platform uses multiple technologies to achieve the highest number of retained customers, resulting in reduced involuntary churn, longer life span after recovery, and higher revenue. Leading brands like LegalZoom, Hooked on Phonics, and ClinicSense trust FlexPay to recover failed payments, reduce churn, and increase customer lifetime value.
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ufonet
UFONet - Denial of Service Toolkit
UFONet - Is a set of hacktivist tools that allow launching coordinated DDoS and DoS attacks and combine both in a single offensive. It also works as an encrypted DarkNET to publish and receive content by creating a global client/server network based on a direct-connect P2P architecture. + FAQ: https://ufonet.03c8.net/FAQ.html -------------------------------------------- -> UFONet-v1.8 [DPh] "DarK-PhAnT0m!" (.zip) -> md5 = [ c8ab016f6370c8391e2e6f9a7cbe990a ] -> UFONet-v1.8... -
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akro is an IRC game of acronyms in bot form. akro is written in Perl with Net::IRC, is multi-network/channel capable, and is just plain fun!
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.nIRC is an IRC client written in C#. It has full support for text formatting, file sending, etc, and allows the use of IronPython scripts in order to make further customisation easier.
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SoftCo: Enterprise Invoice and P2P Automation SoftwareSoftCo Accounts Payable Automation processes all PO and non-PO supplier invoices electronically from capture and matching through to invoice approval and query management. SoftCoAP delivers unparalleled touchless automation by embedding AI across matching, coding, routing, and exception handling to minimize the number of supplier invoices requiring manual intervention. The result is 89% processing savings, supported by a context-aware AI Assistant that helps users understand exceptions, answer questions, and take the right action faster.
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