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Source channel @githubtrending · Post #14734 · May 21

#c_lang Windows Subsystem for Linux 2 (WSL2) lets you run Linux on Windows using a lightweight virtual machine. This means you can use Linux tools and apps directly from Windows, which is great for developers. WSL2 is faster and more efficient than its predecessor, WSL1, because it uses a complete Linux kernel. This setup allows for better performance and compatibility with Linux applications. Users can also customize their WSL2 kernel by building it from source, which can be useful for adding specific features or fixing issues. https://github.com/microsoft/WSL2-Linux-Kernel

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@githubtrending · Post #15271 · 11/05/2025, 12:30 PM

#cplusplus#arm#baidu#deep_learning#embedded#fpga#mali#mdl#mobile#mobile_deep_learning#neural_network Paddle Lite is a lightweight, high-performance deep learning inference framework designed to run AI models efficiently on mobile, embedded, and edge devices. It supports multiple platforms like Android, iOS, Linux, Windows, and macOS, and languages including C++, Java, and Python. You can easily convert models from other frameworks to PaddlePaddle format, optimize them for faster and smaller deployment, and run them with ready-made examples. This helps you deploy AI applications quickly on various devices with low memory use and fast speed, making it ideal for real-time, resource-limited environments. It also supports many hardware accelerators for better performance. https://github.com/PaddlePaddle/Paddle-Lite