lazyhelm v0.2.1 update - Now with ArtifactHub Integration!
reddit.comยท2dยท
Discuss: r/kubernetes
๐Ÿ“ฆuv
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Linux for Law Firms : UPDATE
reddit.comยท6hยท
Discuss: r/linux
โŒจ๏ธErgodox
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MCP-RiskCue: Can LLM infer risk information from MCP server System Logs?
arxiv.orgยท1d
โœ…Pydantic
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Aligning Attention with Human Rationales for Self-Explaining Hate Speech Detection
arxiv.orgยท1d
๐Ÿ”ฌSynthetic Data
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When Evidence Contradicts: Toward Safer Retrieval-Augmented Generation in Healthcare
arxiv.orgยท1d
โœ…Pydantic
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Bridging Accuracy and Explainability in EEG-based Graph Attention Network for Depression Detection
arxiv.orgยท1d
๐Ÿ”„Data Engineering
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Enhanced C-AFM Nanomaterial Characterization via Dynamic Bayesian Network Optimization
dev.toยท22hยท
Discuss: DEV
๐Ÿ”„Data Engineering
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Building a URL Shortener with Go and Redis
dev.toยท4dยท
Discuss: DEV
โšกRuff
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The Three Ages of Data Science: When to Use Traditional Machine Learning, Deep Learning, or an LLM (Explained with One Example)
towardsdatascience.comยท1d
๐Ÿ”„Data Engineering
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Resource Allocation in Hybrid Radio-Optical IoT Networks using GNN with Multi-task Learning
arxiv.orgยท11h
๐Ÿ“จKafka
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๐Ÿ’ปYour GitHub Speaks Louder Than Your Resume: A Tiger Cloud Story๐Ÿ…
dev.toยท2dยท
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๐Ÿ”งDagster
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Decentralized Social Media: Algorithmic Anomaly Detection for Content Moderation Resistance
dev.toยท1dยท
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๐Ÿ”ฌSynthetic Data
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Automated Defect Clustering and Root Cause Analysis in Advanced Wafer Fabrication via Graph Neural Networks
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๐Ÿ”€ETL Patterns
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Automated Design Optimization via Multi-Fidelity Surrogate Modeling of Neutrino Oscillation Parameters
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๐Ÿš€Python Performance
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Krish Naik: Stop Fighting with Kubernetes! Scale Python to 1000s of Machines with Coiled
dev.toยท8hยท
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๐Ÿ“ŠParquet
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A Learning-Based Control Barrier Function for Car-Like Robots: Toward Less Conservative Collision Avoidance
arxiv.orgยท1d
๐ŸŽ€Decorators
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ADPretrain: Advancing Industrial Anomaly Detection via Anomaly Representation Pretraining
arxiv.orgยท2d
๐Ÿ”„dbt
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Carbon Price Forecasting with Structural Breaks: A Comparative Study of Deep Learning Models
arxiv.orgยท2d
๐Ÿ”„Data Engineering
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