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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 #456 · 10/04/2017, 02:57 AM

http://www.techbeamers.com/python-tutorial-essentials-of-python-socket-programming/ Essentials of Python #Socket Programming You Should Know Python offers two types of #API libraries that we can use for socket programming. At the low-level, Python utilizes the “socket” library to implement #client and #server#modules for both #connectionless and #connection-oriented #network protocols. Whereas, at the higher-level, You can use libraries like #ftplib and #httplib to interact with application-level network protocols like #FTP and #HTTP.

djangoproject

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

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