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Showing 5 open source projects for "nothing"
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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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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biblioAssist
python3 version of bibus
python3 version of bibus https://sourceforge.net/projects/bibus-biblio/ It is nothing more than "it works on Debian testing (bookworm) AMD64. " -
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bidict
The bidirectional mapping library for Python
...Choose a tier and GitHub handles everything else. Your GitHub sponsorship will automatically go on the same bill you already have set up with GitHub, so after the one-click signup, there’s nothing else to do. -
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Latest on Arxiv
Parse the latest Arxiv RSS stream and get your institute preprints
...The script is run daily as a cron command. Feel free to take and modify this code any way you want. But if you are using it, I'd love to at least here from you and know I didn't put this up for nothing. The program has no major prerequisites, except the Python package pyPdf. It is build for Python 2.6.x series, but will probably work on many others as well. -
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THIS PROJECT MIGRATED TO GITHUB https://github.com/cosmo-guffa/play-svg A great thanks to SF.net for hosting up until now... it's nothing personal, this just isn't the right tool for the job ;) Project description: pLAySVG is a python library for the development and manipulation of SVG vector graphics through scripting. pLAySVG makes it easy to create graphics based on geometric relationships. It's intended for educational and artistic use.
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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GGGG's a Great Grid Generator (4G) is a boundary fitted, curvilinear, grid generation tool for 2-d finite difference modeling. It is written in Python with the Numeric extensions. Most classes have been written, but it does nothing useful, yet...
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