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Analysis

This paper addresses the challenge of automating the entire data science pipeline, specifically focusing on generating insightful visualizations and assembling them into a coherent report. The A2P-Vis pipeline's two-agent architecture (Analyzer and Presenter) offers a structured approach to data analysis and report creation, potentially improving the usefulness of automated data analysis for practitioners by providing curated materials and a readable narrative.
Reference

A2P-Vis operationalizes co-analysis end-to-end, improving the real-world usefulness of automated data analysis for practitioners.

Research#Neural Nets👥 CommunityAnalyzed: Jan 10, 2026 16:52

PlotNeuralNet: Streamlining Neural Network Visualization with LaTeX

Published:Feb 21, 2019 09:42
1 min read
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Analysis

The PlotNeuralNet project offers a valuable tool for researchers and developers working with neural networks, simplifying the process of creating publication-ready diagrams. Its integration with LaTeX provides a professional and flexible method for visualizing complex network architectures.
Reference

PlotNeuralNet is a LaTeX package for drawing neural networks.