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Source channel @TossLabChannel · Post #882 · 11月11日

#短视频解析#去水印#Golang parse-video 多平台无水印解析工具 💡由 wujunwei928 开发的热门开源项目,当前已收获上千 ⭐Star,显示出其在开发者圈中的高人气。 该项目使用 Go语言 编写,可从抖音、快手、小红书、西瓜视频等二十多个主流平台解析无水印视频链接。 功能包括自动提取作者名称、封面图、视频标题、音频地址与图集内容等信息,接口设计简洁高效,适合集成至自建工具或多媒体平台。 🔘@TossLab🔘@TossLabChannel

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@githubtrending · Post #14659 · 2025/05/01 15:30

#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