Leaderboard/Research/DeepPaperNote
Last commit on July 30, 2026·Created on March 21, 2026

917Dhj/DeepPaperNote

Transforms technical papers into structured, replication-oriented lab notes for Obsidian vaults.
Combined rank
#280
across all skills
In Research
#17
category rank
Stars
615
7d change unavailable
Forks
41
Watchers
0
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Description

DeepPaperNote assists academic researchers and algorithm engineers in reconstructing the core arguments of technical papers. It moves beyond simple summarization to analyze methods and evaluation logic, producing polished Markdown notes that prioritize evidence-based analysis.

The tool is designed for those implementing research in Python and PyTorch, converting PDFs or digital identifiers into structured notes with figure placeholders to support a rigorous replication workflow.

WHO IT'S FOR
Academic researchers
generating replication-oriented lab notes from papers
Algorithm engineers
analyzing technical papers for implementation details
Obsidian power users
building structured research vaults with markdown notes
Knowledge management practitioners
creating reusable glossary notes from paper manifests
30 Days of GitHub Stars
30d stars unavailable
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Compatibility & Install
2 Skills · 5 Compatible agents · 3 categories · 3 install paths
Compatible agents
Claude CodeCodexCursorGemini CLICopilot
Categories
ResearchKnowledgeWriting
Install via
Agent-assisted Setup
Repository instructions