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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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djangoproject

@djangoproject · Post #463 · 10/10/2017, 02:08 PM

https://uwsgi-docs.readthedocs.io/en/latest/ The uWSGI project The #uWSGI project aims at developing a full stack for building #hosting services. Application #servers (for various programming languages and protocols), proxies, process managers and monitors are all implemented using a common #api and a common configuration style. #python

djangoproject

@djangoproject · Post #513 · 11/30/2017, 10:00 PM

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