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Source channel @githubtrending · Post #14920 · Jul 6

#rust#cuda#rust ZLUDA is a software that lets you run CUDA programs, originally made for NVIDIA GPUs, on AMD Radeon RX 5000 series and newer GPUs without changing the programs. It aims to give near-native performance on non-NVIDIA hardware, making CUDA applications more accessible. Currently, ZLUDA is still being developed and mainly supports Geekbench tests, so it might not work perfectly with all applications yet. It works on Windows and Linux but not on MacOS. If you have an AMD GPU and want to try running CUDA apps without an NVIDIA card, ZLUDA could be very useful as it opens up more hardware options for CUDA software[3][5]. https://github.com/vosen/ZLUDA

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djangoproject

@djangoproject · Post #495 · 11/11/2017, 01:57 PM

http://tech-artists.org/t/pyqt-model-view-video-tutorial-series-part-01/1401 [#PyQT] Model View Video Tutorial Series (Part 01)

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djangoproject

@djangoproject · Post #494 · 11/11/2017, 01:48 PM

https://anaconda.org/anaconda/qtpy #QtPy is a small abstraction layer that lets you write applications using a single api call to either #PyQt or #PySide.

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@githubtrending · Post #14740 · 05/23/2025, 12:30 PM

#python#async#asyncio#cross_platform#downloader#gui#multithreading#pyqt#pyside6#python#qt#software#streaming Ghost Downloader 3 is a fast, AI-powered download manager that works on Windows, Linux, and macOS. It speeds up downloads by splitting files into many parts and using multiple threads, dynamically adjusting to use your full bandwidth. It supports resuming downloads, proxy settings, SSL security, and clipboard monitoring for easy link capture. The interface is modern and user-friendly. This tool helps you download files more quickly and efficiently, with options to control speed and use proxies, making it ideal if you want faster, smarter, and more reliable downloads on your computer[1]. https://github.com/XiaoYouChR/Ghost-Downloader-3

djangoproject

@djangoproject · Post #513 · 11/30/2017, 10:00 PM

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