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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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Oneplus 13 Updates

@OnePlus13Series · Post #341 · 11/13/2025, 03:50 PM

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OnePlus 13 Specifications Codename: dodge cc: TechleaksZone • 6.82" (3168×1440 px) 2K+ BOE X2 LTPO AMOLED display • 1-120Hz variable refresh rate • 4500nits peak brightness • 2160Hz PWM Dimming • Dolby Vision; 1.07 billion colors • Crystal Shield glass protection • Snapdragon 8 Elite SoC • LPDDR5X RAM; UFS 4.0 storage • 9925mm² VC chamber • 50MP main (LYT-T 808, OIS) • 50MP Ultrawide (JN5); 2.5cm macro • 50MP 3X Telephoto (LYT-600; OIS) • 120X Digital Zoom; Hassleblad camera • 32MP Front camera • AAC CSA+ 0916 X-axis linear motor (volume 602mm³) • Goodix Ultrasonic fingerprint • IR Blaster; Alert Slider • Dust & water resistant (IP68 + IP69) • Stereo speakers, OReality & OHaptics • 6000mAh battery; USB-C 3.2 Gen 1 • 100W wired (Max 6.0A at 10V) + 50W wireless charging (Upto 18W PD - IN variant) •4 AndroidOS upgrades + 6yrs Security Patches. (Android 15 OOB) •Lifetime Display Warranty for greenline concerns (For India) @OnePlus13Series | @OnePlus13SeriesChatRoom #oneplus13#specs#oxygenos

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