#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
https://docs.python.org/3/library/marshal.html#module-marshal
marshal — Internal Python #object_serialization
This module contains functions that can read and write Python values in a binary format. The format is specific to Python, but independent of machine architecture issues (e.g., you can write a #Python value to a #file on a PC, transport the file to a Sun, and read it back there). Details of the format are undocumented on purpose; it may change between Python versions (although it rarely does).
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#Musicopy#Music#File#Transfer
Join the Musicopy: Music File Transfer beta on ✈️#TestFlight
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Shared by Dimitri
Sharing
Share files and apps on android to other devices using browser
Share files and apps over HTTP.
You need the other device to be connected to the same network. just toggle on the server and scan the QR Code on other device and you're good to go. Files sent from browser to the app can be found in Sharing/ folder in your internal storage. You can always disable uploads in the app settings.
https://github.com/Ammar64/Sharing
Download
https://github.com/Ammar64/Sharing/releases/latest
https://f-droid.org/packages/com.ammar.sharing/
#share#file#Transfer#Android#qr
@warlockpublicurl_bot
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Envíale cualquier Archivo Multimedia de Telegram y generará un enlace directo para ello
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#file, #upload, #link, #url, #public, #telegram