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Source channel @githubtrending · Post #14659 · May 1

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#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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The Kingfisher - Bitcoin & Crypto liquidations signals and analytics

@thekingfisher_btc · Post #3878 · 02/13/2025, 11:23 AM

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Liquidation Map Analysis 🗺️ 1️⃣ Main Liquidation Zones: -⬆️Shorts: 98064 -⬇️Longs: Around 95474 2️⃣ Key Price Levels: - Big clusters at 95474 & 98064. - Smaller clusters scattered, creating volatility potential. 3️⃣ Imbalance: - More short liquidations concentrated ⬆️ than long liquidations ⬇️ near current price. 4️⃣ Potential Moves: - Price could be drawn ⬆️ to clear short positions at 98064. - Downside risk to 95474, where long liquidations could fuel a drop. 5️⃣ Trader Takeaways: - 🤔 Avoid stops near 95474 & 98064! Potential stop hunts! - ⚠️ Be ready for volatility if price approaches these zones. -📈 A break above 98064 could trigger a short squeeze. -📉 A drop below 95474 could trigger long liquidations cascade. #trading#crypto#liquidation

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