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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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Libreware

@libreware · Post #1197 · 10/31/2023, 01:57 PM

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. Louis Rossman and FUTO have released another not -FOSS app of interest. This time they bring us the #video#streaming app #Grayjay, which is designed to let you surf and search all you favorite video streaming services at once. Grayjay does everything the popular NewPipe app does, plus more. Unfortunately NewPipe only worked with YouTube and PeerTube. So far Grayjay works w/these platforms (to a certain extent) - Rumble - Odysee - Youtube - FUTO's PeerTube Instance - Twitch - Patreon - Soundcloud - Kick - Nebula Sorry, no BitChute so far. You can download videos for offline viewing, and then export those to your Movies folder on your phone. You can download the apk install file here: https://grayjay.app/ Their GitLab source code can be found here: https://gitlab.futo.org/videostreaming/grayjay Casting: https://gitlab.futo.org/videostreaming/grayjay/-/blob/master/docs/casting.md ⚠️ License https://gitlab.futo.org/alex/voiceinput/-/blob/master/FTL_LICENSE.md ⚡️@LinuxTechIndex

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