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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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@githubtrending · Post #15383 · 01/02/2026, 11:30 AM

#go#customer#feature_request#feedback#ideas#suggestions Fider is a simple tool for collecting customer feedback, feature requests, and votes to prioritize what users want most. Use Fider Cloud for quick managed setup or self-host it free on your servers. Customize it, invite users to suggest ideas, vote, and discuss, then update statuses like "planned" or "done" to keep them informed. This saves time guessing needs, boosts customer loyalty through engagement, and helps build better products efficiently. https://github.com/getfider/fider