学术写作
53 个 · organized/repo_cards · 六阶段二十任务 · 方向综述 →
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旧分类链接兼容
organized/repo_cards · 学术方向;旧书签仍可访问,新统计不再使用这些字段。
方向榜单 Legacy
01
wp-a/nature-academic-search
Academic Paper Search:中文科研用户的 Codex / Claude Code / DeepSeek Harness Skill + MCP;跨 CrossRef、PubMed、arXiv、OpenAlex、Europe PMC 检索去重,支持 MeSH、引用核验、引文图谱、试验检索与审计导出。
+14/周
286 ★
02
zongmin-yu/semantic-scholar-fastmcp-mcp-server
Semantic Scholar API 的 FastMCP 服务器实现,提供学术论文数据、作者信息及引用网络的全面访问。A FastMCP server implementation for the Semantic Scholar API, providing comprehensive access to academic paper data, author information, and citation networks.
164 ★
03
OpenRaiser/PaperFlow
📚 PaperFlow:动态个性化的科学论文推荐、阅读与报告生成📚 PaperFlow: Dynamic personalized scientific-paper recommendation, reading, and reporting
148 ★
04
smaniches/semantic-scholar-mcp
Semantic Scholar MCP server:提供 14 个类型化工具,覆盖论文检索、引用图谱、作者画像、推荐等,支持 PyPI/Docker。Semantic Scholar MCP server: 14 typed tools for paper search, citation graphs, author profiles, recommendations, PyPI/Docker.
+3/周
24 ★
05
kishormorol/CiteLens
发现最重要的引用论文——按影响力、相关性和影响度排序Discover the citing papers that matter most — ranked by impact, relevance, and influence
20 ★
06
SU-OSPO/preprint-bot
Preprint Bot —— 学术论文推荐系统。Preprint Bot - Academic Paper Recommendation System
7 ★
07
remyxai/remyxai-cli
Remyx AI 的 CLI:安装 Outrider,管理研究兴趣,浏览论文推荐。CLI for Remyx AI: install Outrider, manage research interests, browse paper recommendations
7 ★
08
rehanvhora778/bibtex-extraction
📄 自动从 PDF 中提取 BibTeX 条目,无需手动输入或调用外部 API 即可生成完整参考文献列表。📄 Extract BibTeX entries from PDFs automatically, generating a complete bibliography without manual input or reliance on external APIs.
6 ★
09
senna-lang/arxiv-compass
基于 specter2 + BERTopic 的 arXiv 论文发现——通过 embedding 检索与主题聚类实现每日论文推荐。arXiv paper discovery with specter2 + BERTopic — embedding-based retrieval and topic clustering for daily paper recommendations.
2 ★
10
YikaiDong-git/lightpaper
每日论文推荐。daily paper recommendation
1 ★
11
YenochQin/llm-wiki
基于 LLM 的科研 Wiki,支持 Zotero 文献导入、MinerU PDF 转换以及知识图谱辅助的科学写作A llm research wiki for Zotero-backed literature ingestion, MinerU PDF conversion, and knowledge-graph-assisted scientific writing.
1 ★
12
tkitanishi/PaperBot
用于论文推荐的 Claude botClaude bot for paper recommendation
1 ★
13
tenorleibniz832/scholar-loop
在消费级 GPU 上自动化机器学习模型从论文阅读到实验执行与同行评审的完整研究工作流Automate the full research workflow from paper reading to experiment execution and peer-review for machine learning models on consumer GPUs.
1 ★
14
LiaojunChen/Arxiv-daily
基于关键词反馈的每日 arXiv 论文推荐Daily arXiv paper recommendations with keyword feedback
1 ★
15
kongyan66/zotero-paper-radar
面向 Zotero 的可解释论文推荐插件,支持可编辑的兴趣画像、AI 摘要与一键导入。An explainable paper recommendation plugin for Zotero, with editable interest profiles, AI summaries, and one-click imports.
1 ★
16
22eda/Academic_Paper_Recommendation_System
1 ★
17
Zora-G/zotero-crypto-paper-daily
每日从 Zotero、arXiv 和 IACR ePrint 推荐的密码学论文。Daily cryptography paper recommendations from Zotero, arXiv, and IACR ePrint
0 ★
18
Zafar-southeast/SPR-SMN
本仓库为我们论文 SPR-SMN:Scientific paper recommendation employing SPECTER with memory network 的代码This repository is for the code of our paper SPR-SMN: Scientific paper recommendation employing SPECTER with memory network
0 ★
19
Yogeswaran-A/RESEARCH-PAPER-RECOMMENDATION-SYSTEM-USING-MACHINE-LEARNING
0 ★
20
yoel3imari/research-paper-recommendation-system
arXiv 论文的端到端推荐引擎:流式接入开放快照,使用量化 ONNX 模型对标题与摘要进行 embedding,构建 FAISS 向量索引,通过 FastAPI 服务提供推荐,并在 Streamlit 面板中交互探索。End-to-end recommendation engine for arXiv research papers: stream an open snapshot, embed titles + abstracts with a quantized ONNX model, build a FAISS vector index, serve recommendations through a FastAPI service, and explore them in a Streamlit dashboard.
0 ★
21
wozengyi/embodied-daily
Embodied Daily:每日具身智能 AI 论文推荐(HF Daily Papers + arXiv)Embodied Daily: daily embodied-AI paper recommendations (HF Daily Papers + arXiv)
0 ★
22
vsatyashivasiddharth-cloud/smart-research-paper-recommender-java
基于 Java 的数据结构与算法项目,结合 Rabin–Karp 进行精确关键词匹配、编辑距离进行近似相似度计算、二分图匹配实现主题到论文的推荐。A Java-based DSA project that recommends relevant research papers using Rabin–Karp for exact keyword matching, Edit Distance for approximate similarity, and Bipartite Graph Matching for topic-to-paper recommendations.
0 ★
23
vibhu345/Research_paper_recommendation
0 ★
24
snusratyasmeen/research-paper-recommendation-system
pandaspandas
0 ★
25
SauravPattnaikCS60/WeeklyPaperDigest
每周阅读的研究论文推荐Research Paper Recommendations for Weekly Reading
0 ★
26
sameersinghh/Similar_research_paper_recommendation_system
0 ★
27
saanviiyer/rxiver
AI 研究工作台:提供 arXiv 论文推荐、论文/摘录文件夹,以及可将想法收藏的书签式对话窗口AI research workspace — arXiv paper recommendations, folders of papers/excerpts, and chat windows you bookmark ideas into.
0 ★
28
pravashsingh775/AI-Research-Paper-Assistant
一个由 AI 驱动的科研情报平台,利用 LLM 和现代 NLP 技术,实现语义搜索、基于 RAG 的问答、文献综述生成、研究空白检测、知识图谱构建、引文管理以及科研写作辅助。An AI-powered Research Intelligence Platform that enables semantic search, RAG-based question answering, literature review generation, research gap detection, knowledge graph construction, citation management, and scientific writing assistance using LLMs and modern NLP techniques.
0 ★
29
odakin/arxiv-digest
arXiv 每日摘要:面向研究者的 AI 驱动论文推荐arXiv daily digest: AI-powered paper recommendations for researchers
0 ★
30
niceguy1437/smart-research-paper-recommendation-system
0 ★
31
MOHANSAIBUCHIREDDYGARI/Personalized-Paper-Recommendations-for-Scientists
NLP 案例研究NLP Case Study
0 ★
32
manoj-bishwakarma/research_paper_recommendation_system
基于机器学习的 Python 推荐系统。Machine Learning Based Recommendation System in Python
0 ★
33
lunxkoe/meeting-based-research-paper-recommendation-system
0 ★
34
Luckysingh22-stack/Research-Paper-Recommendation-and-Subject-Area-Prediction
0 ★
35
lichangfeng1777-design/zotero-arxiv-daily-scheduler
基于 Zotero 文献库的每日 arXiv 论文推荐。Daily arXiv paper recommendations based on Zotero library
0 ★
36
karanamabhinaysai-gif/A7_OSSP_PROJ
开发一个研究论文推荐系统,分析关键词、摘要、引用与用户兴趣以推荐相关论文。该系统使用图算法、相似度排序和优化技术,为研究者和学生提供个性化建议。Here's a version with **exactly 300 characters**: > Develop a research paper recommendation system that analyzes keywords, abstracts, citations, and user interests to recommend relevant papers. It uses graph algorithms, similarity ranking, and optimization techniques to deliver personalized suggestions for researchers and students.
0 ★