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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 #14774 · 06/01/2025, 12:00 PM

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#cplusplus#3mf#android#asset_pipeline#assets#assimp#c_plus_plus#collada#dae#fbx#fbx_exporter#game_development#gamedev_tool#gamedevelopment#gltf#gltf2#ifc#patreon#python#stl The Open Asset Import Library (Assimp) is a tool that helps load many different 3D file formats into a common format. It supports over 40 formats for importing and several for exporting. Assimp works on various platforms like Windows, macOS, Linux, Android, and iOS. It also provides tools to improve the 3D models, such as fixing errors and making them look better. This library is useful for developers because it simplifies working with different 3D file types, making it easier to create and manage 3D content across different systems. https://github.com/assimp/assimp

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#cplusplus #3mf #android #asset_pipeline #assets #assimp #c_plus_plus #collada #dae #fbx #fbx_exporter #game_development #gamedev_tool #gamedevelopment #gltf #gltf2 #ifc #patreon #python #stl