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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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Venture Village Wall 🦄

@venturevillagewall · Post #3507 · 12/19/2024, 03:57 PM

Monad Ecosystem's Rising Interest The Monad blockchain ecosystem is gaining attention ahead of its launch, focusing on community engagement and innovative projects. Key highlights include: - Event: Demo day showcased 20 projects, co-hosted by Paradigm with a $750k prize pool. - Projects: Noteworthy initiatives included: - Kizzy: A mobile betting platform based on Twitter events. - Sparkball: A team strategy game soon on Steam. - LootGO: A Walk2Earn project, previously overlooked. - Pulse: A health-monitoring bracelet securing $1.8M funding. - Community and Hype: Founders cite strong community support as a major attractor to Monad. - Future Vision: Excitement surrounds Monad’s upcoming testnet and potential partnerships with platforms like TON. #Blockchain#Monad#Crypto#Web3#Gaming#Social#Fundraising#EVMcompatible#Paradigm#DemoDay#Kizzy#Sparkball#LootGO#Pulse#NEOWIZ#Ethereum#Funding#TokenLaunch#Community#Hype