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Source channel @githubtrending · Post #14659 · May 1

#cplusplus#arm#convolution#deep_learning#embedded_devices#llm#machine_learning#ml#mnn#transformer#vulkan#winograd_algorithm MNN is a lightweight and efficient deep learning framework that helps run AI models on mobile devices and other small devices. It supports many types of AI models and can handle tasks like image recognition and language processing quickly and locally on your device. This means you can use AI features without needing to send data to the cloud, which improves privacy and speed. MNN is used in many apps, including those from Alibaba, and supports various platforms like Android and iOS. It also helps reduce the size of AI models, making them faster and more efficient. https://github.com/alibaba/MNN

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@priborpedals · Post #560 · 10/29/2025, 08:12 AM

А вы знали, что Руководство по эксплуатации модуля Прибор Эксперимент представляет собой сувенирную коллекционную открытку? ️💌 #eurorack#vco#vcf @priborpedals

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@pptdaily · Post #5 · 01/18/2019, 08:56 AM

vcftools基于的是使用bgzip压缩过的vcf.gz文件,还需要用tabix进行index。将多个vcf样本进行merge使用vcf-merge命令,将同一样本的不同vcf整合使用vcf-concat #vcf#vcftools#snp