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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 #1185 · 09/26/2023, 11:04 PM

Meshenger is a P2P Android phone app that started out as a demo for community mesh networks. Meshenger started out as an idea to promote off the grid mesh networks and has now reached its initial goal. In this talk I will talk about the idea behind it, the story how it came to be and of course how it works. https://media.ccc.de/v/camp2023-57107-meshenger #P2P#Meshenger#Mesh#MeshNetwork#ChaosComputerClubBerlin #CCCde