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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#rust#cuda#rust ZLUDA is a software that lets you run CUDA programs, originally made for NVIDIA GPUs, on AMD Radeon RX 5000 series and newer GPUs without changing the programs.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 · Post #328 · 05/03/2017, 07:27 PM
http://www.csestack.org/python-list-installed-modules-versions-pip/ The main strength of the Python is, the wide range of external #libraries are available. As we keep coding in Python, we install many packages. It is easy getting a Python list installed #modules on the system. There are a couple of ways you can do that.
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@githubtrending · Post #14966 · 07/16/2025, 01:30 PM
#other#awesome#awesome_list#c#c_plus_plus#cpp#cpp_library#cppcon#libraries#list#lists#programming_tutorial#resources You can access a vast, well-organized collection of C++ libraries, frameworks, and tools that cover almost every programming need—from standard libraries, GUI, networking, and machine learning to game engines, cryptography, and more. This curated list includes popular and high-quality options like Boost, Qt, OpenCV, and many specialized libraries for tasks such as asynchronous programming, audio processing, and serialization. Using these resources can save you time, improve code quality, and help you build efficient, robust applications by leveraging tested, peer-reviewed components instead of writing everything from scratch. It’s a one-stop reference to boost your C++ development productivity and capabilities. https://github.com/fffaraz/awesome-cpp