Search Results for "filter"
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4 projects for "filter" with 2 filters applied:
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$300 Free Credits to Build on Google CloudPut your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
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boahttpd
A C++ library to make your application be a cgi-featured http server
The library, boahttpd, is designed to create a cgi-featured http server (normally called as boa-server)easily and fast. That means you can easily add CGI support to your server application. Further more, it support filter and allows you to prevent unauthorized access. It's a multi-threaded server. Its written in C++ inside, but provides a C-Style API which you will find it to be Object-Oriented essentially. Multiple platforms are supported with a uqique set of interface, including Windows, Linux, or Embedded systems. It will take only a few minutes to get to know how to use it. ... -
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HTTP INJECTOR PRO
HTTP Server, Header Replacer, Proxy Server
...Reset Setting 2. Save curent Skins to config file 3. Add 4 New skins (Garnet II (default), Black Box, Cold, Deep Purple, Ubuntu, Matrix) 4. Radio buttons skins changer 5. Filter Response 6. Query Mode 7. XTended MODE - Place Front / Back - Code - Flag Single Flag / Double Flag - ADD Header 8. Disable NetData 9. End Line OFF mode 10. 4 Custom Header (CH 1, CH 2 , CH 3, CH 4) 11. User Agent Spoofer - DISABLE - Chrome 32.0.1667.0 (Win 8 - 64 bit) - Firefox 25.0 (Win 7 64) - Opera 10.61 Mini 5.1 (J2ME/MIDP) - Android 0.5 - Safari 419 12. ... -
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!! PJL Compressing Filter is renamed to ziplet and hosted on github now!! See here: https://github.com/ziplet/ziplet A J2EE servlet filter which compresses data written to the response. It supports several algorithms (gzip, deflate, etc.) and emphasizes minimal memory usage and high throughput. Also provides detailed performance stats. Feel free to fork pjl-comp-filter on Github: https://github.com/ziplet/ziplet
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Host LLMs in Production With On-Demand GPUsDeploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
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