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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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DWF Labs Broadcast

@DWFLabs · Post #198 · 02/07/2023, 05:07 AM

We're a proud sponsor of the first Flow Hackathon – a global competition from 2/21–2/26 to push the limits of #web3#onFlow. Beyond excited to be involved in the expansion of the #ecosystem and to provide an opportunity for developers to shine! 💡✨ This is what's up: 💰 $500K in prizes 🌐 Virtual & IRL events 📚 Education phase to learn more about building #onFlow ✨ Amazing speakers and judges 👨‍💻 Empowering #developers to do great things Are you ready to build awesome innovations and earn prizes for your work? Register today! 👇 https://hackathon.flow.com