Real-time stock volatility prediction with deep learning on a time-series DB
📊Data Science
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How Datadog Built a Custom Database to Ingest Billions of Metrics Per Second
blog.bytebytego.com·4h
⛓️LangChain
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Don’t Just Normalize, Batch Normalize! A Guide to Stable Neural Networks
pub.towardsai.net·1d
⚙️Model Fine-tuning
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Enhancing rice leaf images: An overview of image denoising techniques
arxiv.org·15h
🧠Machine Learning
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Why stop at 1 million tokens when you can have 10? My journey to extreme context on a gaming GPU. [P]
⛓️LangChain
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[D][P] PKBoost v2 is out! An entropy-guided boosting library with a focus on drift adaptation and multiclass/regression support.
🚀MLOps
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MobileNetV3 Paper Walkthrough: The Tiny Giant Getting Even Smarter
towardsdatascience.com·2d
🗄️Vector Databases
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Multi-refined Feature Enhanced Sentiment Analysis Using Contextual Instruction
arxiv.org·15h
📝Natural Language Processing
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Beyond Standard LLMs
🤖Transformers
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Temporal Prompting Matters: Rethinking Referring Video Object Segmentation
🧠Machine Learning
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Comparative Analysis of Deep Learning Models for Olive Tree Crown and Shadow Segmentation Towards Biovolume Estimation
arxiv.org·4d
📊Data Science
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Beyond the Cloud: How Taiwan's Industries Are Orchestrating the Real-World Symphony of AI Implementation
prnewswire.com·1d
🤖AI
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[R] We were wrong about SNNs. The bo.ttleneck isn't binary/sparsity, it's frequency.
🤖Transformers
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DC4GS: Directional Consistency-Driven Adaptive Density Control for 3D Gaussian Splatting
arxiv.org·1d
🗄️Vector Databases
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Mutual Information guided Visual Contrastive Learning
arxiv.org·15h
⚙️Model Fine-tuning
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KAT-GNN: A Knowledge-Augmented Temporal Graph Neural Network for Risk Prediction in Electronic Health Records
arxiv.org·15h
🤖Transformers
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It Doesn’t Need to Be a Chatbot
towardsdatascience.com·18h
⛓️LangChain
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