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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 · Post #1561 · 02/27/2026, 10:14 PM
#Droidify#Fdroid client Added SHA256 for signature verification (Long press on Sync icon to refresh index) https://github.com/Droid-ify/client/releases Many more android app stores at https://t.me/Libreware/1132 and #apk@LibreWare Tell us your favorite or any missing ones
@libreware · Post #997 · 10/27/2021, 12:22 AM
Droid-ify Unofficial F-Droid client with Material UI based on Foxy-Droid Features: Material F-Droid style No cards or inappropriate animations Fast repository syncing Standard Android components and minimal dependencies https://github.com/iamlooker/Droid-ify/ Download: https://github.com/Iamlooker/Droid-ify/releases https://f-droid.org/packages/com.looker.droidify https://android.izzysoft.de/repo/apk/com.looker.droidify 📡@NoGoolag📡@Libreware #droidify#apk#fdroid