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Source channel @githubtrending · Post #15271 · Nov 5
#cplusplus#arm#baidu#deep_learning#embedded#fpga#mali#mdl#mobile#mobile_deep_learning#neural_network Paddle Lite is a lightweight, high-performance deep learning inference framework designed to run AI models efficiently on mobile, embedded, and edge devices. It supports multiple platforms like Android, iOS, Linux, Windows, and macOS, and languages including C++, Java, and Python. You can easily convert models from other frameworks to PaddlePaddle format, optimize them for faster and smaller deployment, and run them with ready-made examples. This helps you deploy AI applications quickly on various devices with low memory use and fast speed, making it ideal for real-time, resource-limited environments. It also supports many hardware accelerators for better performance. https://github.com/PaddlePaddle/Paddle-Lite
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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