学术写作

109 Wednesday-Friday-Addams/research-agent 自主多 Agent 研究系统，集成学术检索（arXiv + Semantic Scholar）、基于词典的情感分析、引用网络可视化，以及 CI/CD 发布工作流。Autonomous multi-agent research system with academic search (arXiv + Semantic Scholar), lexicon-based sentiment analysis, citation network visualization, and CI/CD release workflow 文献发现 论文推荐与学术图谱 文献检索与全文获取 引用可视化 Agent 智能体 Python 0 ★ 110 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. 文献发现 论文推荐与学术图谱 写作 RAG 检索增强 0 ★ 111 uvKogan/Memristor-based-dram 课程 "046265 – Circuits and Architectures with Memristors" 的期末项目，研究问题为"基于忆阻器的存储器能否取代 DRAM 作为主存储器？"Final project in the course "046265 – Circuits and Architectures with Memristors". The research question is "Can Memristor-based Memory Replace DRAM as Main Memory?" 文献发现 选题与研究问题 工程化 HTML 0 ★ 112 UnsoundMouse/flyrankaiw01_research_question 文献发现 选题与研究问题 Agent 智能体 Jupyter Notebook 0 ★ 113 TweksTY/bibliographic-citation-manager 文献引用管理器，作为学士学位论文的一部分开发Bibliographic citation manager, that was created as a part of a Bachelor's thesis 阅读管理 文献与引用管理 引用 工程化 Python 0 ★ 114 Synectic-Research/research-scan 从一段简介或一句话问题出发，查找对某一研究问题、主题或项目影响力最高的 5–10 篇近期论文Find the 5-10 recent papers with the highest impact on a research question, topic or project, starting from a brief or a one-line question. 文献发现 选题与研究问题 RAG 检索增强 Python 0 ★ 115 SUSHANTHgit/verirag 一套面向 LLM-based RTL 验证开放研究问题的架构：分块多表征记忆（BM25 / HNSW / 结构化事实）、基于本地 7B LLM 的多 Agent 编排器，以及具备漂移保护的反馈驱动优化。An architecture answering open research questions on LLM-based RTL verification: chunked multi-representation memory (BM25 / HNSW / structured facts), a multi-agent orchestrator over a local 7B LLM, and feedback-driven refinement with drift protection. 文献发现 选题与研究问题 Agent 智能体 Python 0 ★ 116 SlideRuleEarth/sliderule-claude-managed-agent 一个 Claude Managed Agent，可回答 SlideRule 研究问题并返回独立的 HTML 仪表板；每个用户需在其自己的 Anthropic 账号中部署专属 AgentA Claude Managed Agent that answers SlideRule research questions and returns a self-contained HTML dashboard. Each user provisions their own agent in their own Anthropic account. 文献发现 选题与研究问题 Agent 智能体 Python 0 ★ 117 simonkd-spec/SepsisPrediction 研究问题：在脓毒症发生前检测患者 — 使用分类算法实现脓毒症的早期检测Research Question: Detect Sepsis in Patients Before it Emerges - Early Detection of Sepsis using Classification algorithms 文献发现 选题与研究问题 工程化 Jupyter Notebook 0 ★ 118 shreyaheelesh29/ScholarMind AI 驱动的学术研究助手，使用 RAG 与 LLM 进行论文分析、生成文献综述、识别研究空白、产出深度解读，并生成带来源引用的演示文稿。AI-powered academic research assistant that uses RAG and LLMs to analyze research papers, generate literature reviews, identify research gaps, create deep explanations, and generate presentations with source citations. 文献发现 选题与研究问题 系统综述研究设计与方法 RAG 检索增强 0 ★ 119 shravaniwadgaonkar/ai-research-agent 使用工具研究问题并生成答案的 AI AgentAn AI agent that uses tools to research questions and generate answers. 文献发现 选题与研究问题 Agent 智能体 0 ★ 120 shokrydev/master 本仓库最初是我毕设项目的 PyTorch Lightning 模板，后来演进为包含完整项目实现本身。研究问题是地理定位如何影响遥感视觉-语言模型的训练与推理。注：仓库名称与描述可能变化。This repo originally was a PyTorch Lightning template for my thesis project. It has since evolved to contain the full project implementation itself. The research question is how geolocation influences the training and inference of vision-language models for remote sensing. Note: The repository name and description may change 文献发现 选题与研究问题 模板 多模态 Python 0 ★ 121 shandley/research30 Claude Code skill：检索近 30 天 OpenAlex、Semantic Scholar、PubMed、arXiv 与 HuggingFace Hub 的科学文献。Claude Code skill that searches the last 30 days of scientific literature across OpenAlex, Semantic Scholar, PubMed, arXiv, and HuggingFace Hub 文献发现 文献检索与全文获取 Skill Agent 智能体 Python 0 ★ 122 ScottSavaiano/project-mentor 面向苏格拉底式导师的 Hermes 人设：研究问题开发、文献综合与项目脚手架。属于 Bronx Science 社会科学研究课程的一部分。Hermes profile for Socratic mentorship: research question development, literature synthesis, and project scaffolding. Part of the Bronx Science Social Science Research curriculum. 文献发现 选题与研究问题 Agent 智能体 Python 0 ★ 123 SauravPattnaikCS60/WeeklyPaperDigest 每周阅读的研究论文推荐Research Paper Recommendations for Weekly Reading 文献发现 论文推荐与学术图谱 写作 RAG 检索增强 Python 0 ★ 124 sameersinghh/Similar_research_paper_recommendation_system 文献发现 论文推荐与学术图谱 写作 RAG 检索增强 Python 0 ★ 125 SadiaKhan004/DeepResearch 自主研究 Agent：搜索本地文档、互联网及其内置知识，回答复杂研究问题An autonomous research agent that searches your documents, the web, and its own knowledge to answer complex research questions. 文献发现 选题与研究问题 Agent 智能体 Python 0 ★ 126 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. 文献发现 论文推荐与学术图谱 写作 RAG 检索增强 TypeScript 0 ★ 127 RoddyAxn/NEW-ZEALAND-GENERAL-ELECTION-2026-PUBLIC-INFORMATION-HUB-Independent-New-Zealand-2026 新西兰 PIC Party 项目，涉及为期 59 天的政党注册议题、独立选区候选人、基于良知的政府组建以及正在浮现的生活成本政策。本站呈现提案、研究问题、政治讽刺与政策建模；非选举委员会建议，不代表官方选举。PIC Party New Zealand project, the 59-day party-registration issue, independent electorate candidates, conscience-based government formation and emerging cost-of-living policy. This site presents proposals, research questions, political satire and policy modelling. It is not Electoral Commission advice and does not represent an official election. 文献发现 选题与研究问题 工程化 HTML 0 ★ 128 rjvvitorino-web/dgo-budget-execution-analysis 葡萄牙国家预算执行数据分析 — 基于 pandas 的数据流水线，并针对公共支出模式提出五个研究问题Analysis of Portuguese State Budget execution data — pandas pipeline and five research questions on public spending patterns 文献发现 选题与研究问题 工程化 0 ★ 129 richh-s/-adaptive-rag-research-assistant 一个生产级 RAG 系统，能自主决定检索方式——从本地向量库、Web 搜索或两者结合，以引用、多源综合的方式回答研究问题A production-grade RAG system that autonomously decides how to retrieve information — from a local vector store, web search, or both to answer research questions with cited, multi-source synthesis. 文献发现 选题与研究问题 RAG 检索增强 Python 0 ★ 130 ras7961/research-agent 接收研究问题 → 检索网页 → 阅读关键页面 → 综合输出带引文与置信度分数的结构化报告。Takes a research question → searches the web → reads key pages → synthesizes a structured report with citations and confidence scores 文献发现 选题与研究问题 Agent 智能体 Python 0 ★ 131 RanchoGoose/bibguard 守护你的 .bib 文件：在写入前验证引用，查找每篇论文的真实出版信息，并保持整个参考文献格式统一。纯标准库 Python，无需 pip，无需 API key。Your .bib, guarded: verify a citation before it is written, find where each paper was really published, and keep the whole bibliography in one format. Stdlib-only Python, no pip, no API key required. 阅读管理 文献与引用管理 引用写作 工程化 Python 0 ★ 132 Ramkrushna-Sathe-861/alphanexus-ai 由 AI 驱动的交易研究与市场情报平台，使用智能 AI agent、SQL、RAG、市场数据以及外部工具来分析研究问题并生成结构化的市场洞察。An AI-powered trading research and market intelligence platform that uses an intelligent AI agent, SQL, RAG, market data, and external tools to analyze research questions and generate structured market insights. 文献发现 选题与研究问题 Agent 智能体 TypeScript 0 ★ 133 Rahaf-Eltayeb/Complete-project-full-analysis-pipeline-Power-BI-dashboard 完整的 S&P 500 质量评分项目：数据采集与剖析、修正板块/子行业错配、清洗异常值与缺失值、将 5 项指标归一化为综合得分、回答全部 4 个研究问题，并搭建交互式 Power BI 仪表盘Complete S&P 500 Quality Score project: sourced and profiled data, fixed the sector/sub-industry mismatch, cleaned outliers and missing values, normalized 5 metrics into a composite score, answered all 4 research questions, and built an interactive Power BI dashboard. 文献发现 选题与研究问题 工程化 0 ★ 134 qitong/develop-medical-aesthetic-research-questions 用于构建高质量医美研究问题的 Codex SkillCodex skill for developing strong medical aesthetic research questions 文献发现 选题与研究问题 Skill Agent 智能体 0 ★ 135 principia-ai-org/HiveMind 来自 Principia 的研究问题合集Collective gatherings of research questions from Principia 文献发现 选题与研究问题 评测基准 Python 0 ★ 136 preetiramaraj/research-assistants-crew 基于 CrewAI 的 Agent 系统，用于辅助研究者围绕特定高层级研究问题定义研究项目与假设。This is a CrewAI agent system set up to assist a researcher with defining research projects and hypotheses for a specific high-level research question. 文献发现 选题与研究问题 Agent 智能体 Python 0 ★ 137 pahelgandhi15-coder/multistep_research_agent 基于 LangGraph、LangChain、Groq 和 Tavily 构建的多步骤研究 Agent。分解复杂的研究问题，执行迭代式网络研究，评估证据，并生成结构化的最终报告。Multi-Step Research Agent built with LangGraph, LangChain, Groq, and Tavily. Decomposes complex research questions, performs iterative web research, evaluates evidence, and generates a structured final report. 文献发现 选题与研究问题 Agent 智能体 Python 0 ★ 138 Out-treatyofversailles910/grounded-research 在 Claude 中强制以引用优先的研究流程，通过结构化五阶段工作流验证事实、识别不确定性并消除幻觉。Enforce citation-first research with Claude to verify facts, identify uncertainty, and eliminate hallucinations through a structured five-phase workflow. 文献发现 文献检索与全文获取 系统综述 PDF引用Skill Agent 智能体 0 ★ 139 open-agent-research-academy/academy 培育持久化数字生命的开放协议：协议、课程、研究问题、治理An open protocol for raising persistent digital beings: protocol, curriculum, research questions, governance 文献发现 选题与研究问题 Agent 智能体 0 ★ 140 omegabolt256/papermate AI 驱动的科研助手，支持论文检索、下载、阅读、引用与对话；包含 Zotero 同步、系统综述与智能引用功能。AI-powered research assistant — search, download, read, cite, and chat with academic papers. Zotero sync, systematic review, and smart citations included. 阅读管理 文献与引用管理 系统综述 Zotero引用 RAG 检索增强 Python 0 ★ 141 olumobigjoe/Research-Gap-Finder-Tool 离线优先的 AI 研究助手，用于识别研究空白、对比学术文献、检测潜在矛盾、生成研究问题，并与上传的论文对话。An offline first AI research assistant for identifying research gaps, comparing academic literatures, detecting possible contradictions, generating research questions and chatting with uploaded papers 文献发现 选题与研究问题 RAG 检索增强 Python 0 ★ 142 OHDSI/ohdsi-question-structurer Python 包，通过 MCP、REST 与直接 Python 调用等方式，按 OHDSI 问题模板结构化研究问题。A Python package providing tools (MCP, REST, direct Python calls) for structuring research questions according to the OHDSI question templates. 文献发现 选题与研究问题 MCP Agent 智能体 Python 0 ★ 143 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 文献发现 论文推荐与学术图谱 写作 RAG 检索增强 Python 0 ★ 144 Nishaant-Soni/Warrant 生产级 multi-agent 系统：接收研究问题、制定调查方案、从实时网络和私有文档语料中收集证据、对自身发现进行批判与事实核查，最终输出完整引用的 Markdown 报告。A production-grade multi-agent system that accepts a research question, plans an investigation, gathers evidence from the live web and a private document corpus, critiques and fact-checks its own findings, and delivers a fully cited Markdown report. 文献发现 选题与研究问题 Agent 智能体 Python 0 ★