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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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叮噹貓iOS资源/限免/脚本分享频道

@ddm1023 · Post #1854 · 08/09/2024, 02:39 PM

#脚本#QuantumultX#Loon#Surge#Shadowrocket#Stash#Crack ✅#IPCamera 适合家里有 onvif 摄像头的,可以远端控制,摒弃传统的监控软件,连接速度非常快,配合内网穿透 👤 脚本作者: @iuiuiui1 📌 脚本功能: 解锁会员 💳 特别说明: 一次性解锁 ⬇️ 下载地址: 点我下载 🔗 脚本链接: 点我复制 🔄 脚本转换: 点击传送 ✈️导航💬群组🤖投稿🎁福利

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@githubtrending · Post #15033 · 08/06/2025, 12:00 PM

#shell#buildroot_external_tree#firmware#ingenic#ip_camera#ipc#ipcamera Thingino is free, open-source firmware designed specifically for IP cameras using Ingenic SoC chips. It customizes the software to fit each supported camera model, making the camera easier to use and more efficient. You can build the firmware yourself using the provided instructions and tools, and there is a helpful web interface to control camera features like pan, tilt, night mode, and streaming. This gives you more control and flexibility over your camera without relying on proprietary software. It supports many camera models, and the community offers resources like a wiki, chat groups, and development guides to help you get started and customize your device. This benefits you by providing a customizable, transparent, and community-supported alternative to closed camera firmware. https://github.com/themactep/thingino-firmware