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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 #15087 · 08/23/2025, 12:00 PM

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#shell#cassowary#docker#freerdp#gnome#hacktoberfest#integration#kde#libvirt#linux#linux_app#nautilus#nix_flake#podman#qemu#qemu_kvm#seamless#winapps#windows#wine#xfce You can run Windows applications like Microsoft Office and Adobe Creative Cloud directly on your Linux desktop (KDE, GNOME, or XFCE) as if they were native apps using WinApps. It works by running Windows inside a virtual machine (using Docker, Podman, or libvirt) and then showing Windows apps seamlessly on Linux with FreeRDP. Your Linux home folder is accessible in Windows, and you can right-click files in Linux to open them with Windows apps. This lets you use all Windows programs without leaving Linux, improving productivity and convenience without needing dual boot or separate hardware. https://github.com/winapps-org/winapps

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#shell #cassowary #docker #freerdp #gnome #hacktoberfest #integration #kde #libvirt #linux #linux_app #nautilus #nix_flake #podman #qemu #qemu_kvm #seamless #winapps #windows #wine #xfce