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Source channel @githubtrending · Post #14747 · May 25

#python#deep_learning#intel#machine_learning#neural_network#pytorch#quantization Intel Extension for PyTorch boosts the speed of PyTorch on Intel hardware, including both CPUs and GPUs, by using special features like AVX-512, AMX, and XMX for faster calculations[5][2][4]. It supports many popular large language models (LLMs) such as Llama, Qwen, Phi, and DeepSeek, offering optimizations for different data types and easy GPU acceleration. This means you can run advanced AI models much faster and more efficiently on your Intel computer, with simple setup and support for both ready-made and custom models. https://github.com/intel/intel-extension-for-pytorch

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@githubtrending · Post #14792 · 06/05/2025, 01:00 PM

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#kotlin#compiler#markdown#markdown_parser#markup_language#paper#pdf#presentations#programming_language#scripting_language#slides#typesetting#typesetting_system Quarkdown is a powerful tool that helps you write and format documents using Markdown. It allows you to create complex content with functions and variables, making it more versatile than regular Markdown. You can easily compile your work into print-ready books or interactive presentations. Quarkdown supports exporting to HTML and PDF, and it includes features like live preview, which helps you see changes as you make them. This makes it easier to ensure your document looks exactly how you want it to. https://github.com/iamgio/quarkdown

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