Training XGBoost Models with GPU-Accelerated Polars DataFrames
developer.nvidia.com·1d
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Constantly Improving Image Models Need Constantly Improving Benchmarks
paperium.net·7h·
Discuss: DEV
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New AI framework can uncover space physics equations in raw data
phys.org·12h
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Show HN: Charl – ML language with native tensors and autograd
charlbase.org·10h·
Discuss: Hacker News
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The 7 Statistical Concepts You Need to Succeed as a Machine Learning Engineer
machinelearningmastery.com·3d
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Trustworthiness Calibration Framework for Phishing Email Detection Using Large Language Models
arxiv.org·19h
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ADPretrain: Advancing Industrial Anomaly Detection via Anomaly Representation Pretraining
arxiv.org·19h
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SciDaSynth: Interactive Structured Data Extraction from Sci Literature with LLM
onlinelibrary.wiley.com·1d·
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From Jupyter Notebook to Production: Complete Guide to ML Model Deployment
dev.to·1d·
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No One-Model-Fits-All: Uncovering Spatio-Temporal Forecasting Trade-offs with Graph Neural Networks and Foundation Models
arxiv.org·19h
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Emotion Detection From Social Media Posts
arxiv.org·4d
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DGTN: Graph-Enhanced Transformer with Diffusive Attention Gating Mechanism for Enzyme DDG Prediction
arxiv.org·19h
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SDS KoPub VDR: A Benchmark Dataset for Visual Document Retrieval in Korean Public Documents
arxiv.org·19h
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Predictive Maintenance Optimization for Cryogenic Distillation Columns via Digital Twin Integration
dev.to·15h·
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From Pandas in Python to TabularData in Swift for Data Exploration
dev.to·7h·
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Building a Synthetic Data Generator: From Concept to Reality
dev.to·13h·
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Right Approach to JSON Log Analysis: A Hands-on Guide to Efficient Practices with Alibaba Cloud SLS
dev.to·21h·
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Physics as Code: Train AI with Differentiable Simulations
dev.to·21h·
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