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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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@mdmbeng · Post #1975 · 07/04/2024, 03:23 AM
#App#CocoaPods 数百万iOS应用暴露在CocoaPods安全漏洞中 由于CocoaPods开源库的安全漏洞，数百万iOS和macOS应用程序面临潜在的供应链攻击风险。 该漏洞已存在约10年，可能使攻击者获取敏感数据如信用卡信息和医疗记录。EVA信息安全公司指出，漏洞源于开发者验证机制的不安全。 CocoaPods团队已修复漏洞，并更新了旧库的恢复程序。开发者被建议定期检查和扫描库中的恶意代码。 频道：@mdmbeng 投稿：@mdmbeng_Bot
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@githubtrending · Post #15488 · 02/13/2026, 12:30 PM
#swift#analysis#analytics#cocoapods#crashlytics#debug#debugger#debugging#hacktoberfest#layout_debugger#leak_detection#log#logs_analysis#networking#performance_analysis#sandbox#swift#swift6#ui#uikit#view DebugSwift is a comprehensive toolkit that simplifies debugging for Swift iOS apps by providing real-time monitoring of network requests, performance metrics (CPU, memory, FPS), crash reports, and app resources like keychain and user defaults. It includes interface tools for visualizing layouts with grid overlays and touch indicators, plus memory leak detection and console logging. The main benefit is that you can quickly identify and fix issues during development without leaving your app—just shake your device to toggle the debug panel, making troubleshooting faster and more efficient. https://github.com/DebugSwift/DebugSwift