Search Results for "parallel"
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Showing 5 open source projects for "parallel"
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Cloud tools for web scraping and data extractionAutomate web data collection with cloud tools that handle anti-bot measures, browser rendering, and data transformation out of the box. Extract content from any website, push to vector databases for RAG workflows, or pipe directly into your apps via API. Schedule runs, set up webhooks, and connect to your existing stack. Free tier available, then scale as you need to.
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DIY Arduino Boards IO I2C
DIY Arduino Boards for IO using port expanders and I2C
DIY Arduino Boards PCF8674 MCP23017 74HC595 CD4021 I2C Parallel IO Piezo buzzers See the Files section for a wide range of sensors and sample code Schematics PCB Layout Sample Code -
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Parallel Port Control
Parallel Port Control with C# .NET 2.0
...When I interested control external electronical device I was looking such as application but I couldn’t find any working properly and I wrote it. This article is about controlling data registers of parallel port (LPT port) with C#.net 2.0 and using inpout32.dll/inpout32.lib out32 function. http://blog.armanasci.com/ http://blog.armanasci.com/contact-me/ -
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Driver Logger is an Open Source port analyser. The program is designed to monitor in/out traffic on a variety of bus ports such as USB, Parallel and Serial. The program logs the traffic and can also open, list, categorize and search through the logs.
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Brahma is an open-source library written for the .NET 3.5 framework (in C# 3.0), to provide high-level access to parallel streaming computations on a variety of processors, including GPUs.
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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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This project uses massively parallel Graphics Processing Units(GPU) for neural network(Backpropagation) purposes.
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