Search Results for "github windows 7"
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4 projects for "github windows 7" 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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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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jProjectTranslator
Project translator for audio editing systems
The project has moved to Github, try this link. https://github.com/AMoody/projecttrans This allows audio editing projects to be converted between different audio editing tools. Currently it can read Ardour, AES31 and VCS Startrack projects and save them as Ardour or AES31 projects. AES31 projects can be used with a variety of audio editing tools. 64 bit audio files are supported. -
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BitrateCompressionCalculator for Python
A simple Python utility to calculate file size from bitrate.
BitrateCompressionCalculator for Python (BCCpy) is a very simple application for calculating a file size from length and bitrate. BCCpy came about as the result of my beginning to learn Python and recreating the basic functionality of a simple VB program I wrote back in 1999. Since I was never very proficient with Visual Basic (or Applesoft BASIC for that matter); this application is very basic and could use lots of improvements. I'll implement them as I learn them. As of October 6,... -
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The Qt Audio Processor is an ultimate audio files processing software, including ripping, converting, tagging and burning to, from and between every available audio codec.
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The goal of the Decals project was to create an open source MPEG-4 ALS audio decoder licensed under the LGPL. That is not necessary now that there is an LGPL ALS decoder in FFmpeg. Yay!
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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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