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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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@proanalysistrader · Post #28408 · 01/21/2025, 02:58 PM
#FIRO/USDT analysis : #FIRO is in an uptrend, trading above the 200 EMA. The price has retraced and tested the support zone. It is currently bouncing back from this zone, with expectations to resume bullish momentum and test the previous swing high. TF : 1D Entry : $1.850 Target : $2.840 SL : $1.367
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@americancryptotrading · Post #27102 · 12/30/2024, 03:08 PM
🇺🇸#FIRO/USDT is trading above the fallingwedge formation on the weekly timeframe🔥 Pump is expected🚀 American Crypto©
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@coinlegs · Post #10136 · 03/26/2024, 10:48 PM
📗Trend Line Touch Binance / 26 Mar 22:00 / 1h #FIRO : 2.125
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@coinlegs · Post #9696 · 01/09/2024, 06:21 AM
🐬DOLPHIN | AI PREDICTIONS 09.01.2024 06:00 GMT Expected 5% Profit/Loss in 24 Hours #NFP | 0.58321 | PP: 92% | LP: 9% #FIRO | 1.585 | PP: 90% | LP: 0% #GFT | 0.02027 | PP: 87% | LP: 100% #JTO | 1.7112 | PP: 86% | LP: 100% #NTRN | 1.5177 | PP: 78% | LP: 100% #ORDI | 74.726 | PP: 77% | LP: 100% #TIA | 15.578 | PP: 77% | LP: 100% #VANRY | 0.05837 | PP: 74% | LP: 96% #IQ | 0.00531 | PP: 66% | LP: 100% #MEME | 0.023135 | PP: 64% | LP: 90% #ACE | 8.2438 | PP: 28% | LP: 91% #ARK | 0.7136 | PP: 23% | LP: 91% ——————————————————————— Total Predictions: 366 PP > 50%: 328 LP > 50%: 18 PP > 60%: 202 LP > 60%: 17 PP > 70%: 54 LP > 70%: 16 PP > 80%: 36 LP > 80%: 16 PP > 90%: 1 LP > 90%: 9 ——————————————————————— PP: Profit Probability | LP: Loss Probability