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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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Green University CA | Official

@centralasian_greenuniversity · Post #468 · 12/05/2025, 10:07 AM

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Co-creation Workshop on Climate and Air Quality 💬On December 4, Green University, together with Clean Air Asia and with the support from MOEJ, hosted a workshop in Tashkent focused on developing projects to improve air quality and reduce emissions. The workshop highlighted the JCM, project idea development, and knowledge exchange with international experts. The workshop: ⚪️Helped to explore the co-benefits of clean air and climate mitigation 🔵Introduced the Joint Crediting Mechanism (JCM) as a financing tool for low-carbon projects 🔴Developed Project Idea Notes (PINs) with city officials and experts 🟢Facilitated knowledge exchange with specialists from Japan and Asia #GreenUniversity#AirQuality#ClimateAction#SustainableCities#CleanAirAsia#JCM#Uzbekistan#EnvironmentalLeadership ✉️[email protected] ☎️ +998 55 512 00 77 📍Location 🌐Website | 📱Telegram | 📱Instagram | 📱LinkedIn | 🟥YouTube

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