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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 #15403 · 01/09/2026, 12:30 PM

#typescript#css#css_framework#functional_css#postcss#responsive#tailwindcss#utility_classes Tailwind CSS is a utility-first CSS framework that lets you style websites by adding small, reusable classes directly in your HTML, instead of writing separate CSS files. It provides ready‑made utilities for layout, spacing, colors, and more, so you can build custom user interfaces quickly and consistently. Clear documentation, an active community, and contribution guidelines make it easier to learn, get help, and even contribute to the project, which can save time, reduce CSS complexity, and speed up your UI development. https://github.com/tailwindlabs/tailwindcss