Show HN: I built an edge ML system to detect and classify trick-or-treaters
👁️Vision Transformers
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Can-t stop till you get enough
🔢NumPy
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MaGNet: A Mamba Dual-Hypergraph Network for Stock Prediction via Temporal-Causal and Global Relational Learning
arxiv.org·2h
🤖Machine learning
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From Classical Models to AI: Forecasting Humidity for Energy and Water Efficiency in Data Centers
towardsdatascience.com·1d
📊Data Science
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What Are Auto-regressive Models? A Deep Dive and Typical Use Cases
blog.pangeanic.com·18h
🧠OpenAI
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Deep Learning Approach to Anomaly Detection in Enterprise ETL Processes with Autoencoders
arxiv.org·2h
🧠OpenAI
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A generative adversarial network optimization method for damage detection and digital twinning by deep AI fault learning: Z24 Bridge structural health monitorin...
arxiv.org·2h
👁️Vision Transformers
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Disciplined Biconvex Programming
arxiv.org·2h
🔢NumPy
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AI for pRedicting Exacerbations in KIDs with aSthma (AIRE-KIDS)
arxiv.org·2h
🧠OpenAI
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GrowthHacker: Automated Off-Policy Evaluation Optimization Using Code-Modifying LLM Agents
arxiv.org·2h
🧠OpenAI
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A systematic evaluation of uncertainty quantification techniques in deep learning: a case study in photoplethysmography signal analysis
arxiv.org·2h
🔍Grad-CAM
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Temporal Fusion Transformer for Multi-Horizon Probabilistic Forecasting of Weekly Retail Sales
arxiv.org·2h
🧠OpenAI
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SpecAware: A Spectral-Content Aware Foundation Model for Unifying Multi-Sensor Learning in Hyperspectral Remote Sensing Mapping
arxiv.org·1d
🛰Remote sensing
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