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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 #533 · 12/21/2017, 02:21 PM

http://greenteapress.com/wp/modsimpy/ Free Book: #Modeling and #Simulation in Python Modeling and Simulation in Python is an introduction to physical modeling using a #computational approach. It is organized in three parts: The first part presents discrete models, including a bikeshare system and world population growth. The second part introduces first-order systems, including models of infectious disease, thermal systems, and chemical kinetics. The third part is about second-order systems, including mechanical systems like projectiles, celestial mechanics, and rotating rigid bodies.