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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 #15431 · 01/23/2026, 01:30 PM

#cplusplus#3d_engine#arm64#cmake#cplusplus#cpp17#d3d11#directx#directx11#engine#game#game_engine#gamedev#mod#opengl#opensource#sdl#sdl2#stalker#x64#xray_engine OpenXRay is a free, improved version of the X-Ray Engine for S.T.A.L.K.E.R. games like Call of Pripyat and Clear Sky. It adds 64-bit support, higher FPS, bug fixes, modding tools, and runs on Linux, macOS, and more. This benefits you with smoother, more stable gameplay, better performance on modern or non-Windows PCs, and easy access to new mods without changing the classic feel. https://github.com/OpenXRay/xray-16