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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 #538 · 12/28/2017, 10:33 AM

https://pendulum.eustace.io/docs/ Python datetimes made easy. Supports Python 2.7+, 3.4+ and PyPy. Native #datetime instances are enough for basic cases but when you face more complex use-cases they often show limitations and are not so intuitive to work with. #Pendulum provides a cleaner and more easy to use API while still relying on the standard library. So it's still datetime but better.

djangoproject

@djangoproject · Post #186 · 10/14/2016, 03:57 AM

http://www.saltycrane.com/blog/2008/06/how-to-get-current-date-and-time-in/ Here is an example of how to get the current #date and #time using the #datetime module in Python: