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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 · Post #516 · 12/07/2017, 07:12 AM

https://pyvisa.readthedocs.io/en/stable/ PyVISA: #Control your instruments with Python #PyVISA is a Python package that enables you to control all kinds of measurement devices independently of the interface (e.g. #GPIB, #RS232, #USB, #Ethernet). As an example, reading self-identification from a Keithley Multimeter with GPIB number 12 is as easy as three lines of Python code:

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@GetMoeCats · Post #563 · 02/13/2024, 01:18 PM

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