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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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Libreware

@libreware · Post #894 · 02/04/2021, 06:15 PM

PCAPdroid Capture traffic on Android devices and send the PCAP via UDP without root PCAPdroid lets you capture the Android traffic and analyze it remotely (e.g. via Wireshark). The traffic can be easily captured on a remote PC via an UDP socket. 💡 Features: ✅ Capture apps traffic without root privileges ✅ Send captured traffic via UDP ✅ Download the traffic PCAP via the integrated HTTP server ✅ Show captured traffic real time statistics ✅ Apply a filter to only capture traffic for the selected app ✅ Decrypt HTTPS/TLS traffic via a remote mitmproxy https://f-droid.org/packages/com.emanuelef.remote_capture/ #PCAPdroid#android#fdroid#app