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Source channel @githubtrending · Post #15007 · Jul 29

#c_lang You can find detailed guides for Linux kernel developers and users in the Documentation/ folder, which includes files in formats like HTML and PDF. To build these documents yourself, use commands like `make htmldocs` or `make pdfdocs`. The documentation covers important topics such as kernel building, running requirements, and upgrade issues. You can also view the latest formatted docs online. Additionally, the kernel source uses a special comment style called kernel-doc to embed documentation directly in the code, making it easier to understand functions and structures. This helps you learn, build, and maintain the Linux kernel more effectively. https://github.com/raspberrypi/linux

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@githubtrending · Post #14659 · 05/01/2025, 03:30 PM

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#cplusplus#arm#convolution#deep_learning#embedded_devices#llm#machine_learning#ml#mnn#transformer#vulkan#winograd_algorithm MNN is a lightweight and efficient deep learning framework that helps run AI models on mobile devices and other small devices. It supports many types of AI models and can handle tasks like image recognition and language processing quickly and locally on your device. This means you can use AI features without needing to send data to the cloud, which improves privacy and speed. MNN is used in many apps, including those from Alibaba, and supports various platforms like Android and iOS. It also helps reduce the size of AI models, making them faster and more efficient. https://github.com/alibaba/MNN

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