学术写作

73 Kritisha57/FinHop FinHop 是专为机构股票分析打造的多跳金融研究助手。它摄取 SEC 文件（10-K、10-Q），将其建模为时序感知、按公司组织的检索图，并回答需要跨多份文档、多家公司与多个财周期证据的对比与趋势类研究问题。FinHop is a multi-hop financial research assistant purpose-built for institutional equity analysis. It ingests SEC filings — 10-Ks, 10-Qs ,models them as a time-aware, company-aware retrieval graph, and answers comparative and trend-based research questions that require evidence from across multiple documents, companies, and fiscal periods. 文献发现 选题与研究问题 RAG 检索增强 0 ★ 74 krishaDevOps/strategic-data-exploration-planning Python 数据科学实习的战略数据探索规划项目，涵盖数据集选择、研究问题、数据清洗方法、探索性分析、统计技术、Python 工具及规划的分析流程Strategic data exploration planning project for a Data Science with Python internship, covering dataset selection, research questions, data cleaning methodology, exploratory analysis, statistical techniques, Python tools, and the planned analytical workflow. 文献发现 选题与研究问题 工程化 0 ★ 75 KhushiKhandelwal0001/Ai-Research-Agent 一个使用 OpenAI function calling 和 DuckDuckGo 搜索的网络搜索与研究问题回答 AI Agent。An AI agent that searches the web and answers research questions using OpenAI's function calling and DuckDuckGo search. 文献发现 选题与研究问题 Agent 智能体 Python 0 ★ 76 khaled-khurram/subaru-preglobal-icbm 适用于 preglobal 斯巴鲁车型带 EyeSight 的 ICBM（按键欺骗式 ACC 触发）— 已实车可用。全纵向控制仍是开放且未经证实的研究问题。ICBM (button-spoofed ACC actuation) for preglobal Subarus with EyeSight — live and working. Full longitudinal control is still an open, unproven research question. 文献发现 选题与研究问题 工程化 Python 0 ★ 77 Kevinornot/endnote-xml-literature-search 检索 EndNote XML 元数据，保守地匹配本地 PDF，并以可追溯的证据回答研究问题。Search EndNote XML metadata, conservatively match local PDFs, and answer research questions with traceable evidence. 文献发现 文献检索与全文获取 选题与研究问题 RAG 检索增强 Python 0 ★ 78 keerthana-kulal/tool-using-research-agent 一个使用工具的研究 agent，可搜索网页并以引文形式回答研究问题。A tool-using research agent that searches the web and answers research questions with citations. 文献发现 选题与研究问题 Agent 智能体 0 ★ 79 Katherriv/health-insurance-statistical-analysis 使用参数与非参数检验，围绕虚构的健康保险数据集回答两个研究问题。Statistical testing using parametric and non-parametric tests to address two research questions utilizing a fictional health insurance dataset 研究执行 数据与统计分析 选题与研究问题 工程化 0 ★ 80 jpabloglez/GenKG-Agent 基于 Neo4j 知识图谱回答生物医学研究问题的多 Agent 系统——采用 LangGraph 编排、图+向量混合 RAG、只读 Cypher 护栏、Docker 隔离的代码执行与人在环上审核。Multi-agent system answering biomedical research questions over a Neo4j knowledge graph — LangGraph orchestration, hybrid graph+vector RAG, read-only Cypher guardrails, Docker-isolated code execution and human-in-the-loop review 文献发现 选题与研究问题 论文推荐与学术图谱 Agent 智能体 Python 0 ★ 81 jetzlstorfer/podcaster 一个 multi-agent 流水线，将研究问题转换为可直接播放的播客——生成双主持人 MP3 以及 AI 生成的单集封面图 🎙️A multi-agent pipeline that turns a research question into a ready-to-play podcast — a two-host MP3 plus AI-generated episode cover art 🎙️ 文献发现 选题与研究问题 Agent 智能体 Python 0 ★ 82 Jaiswal-Akshay/Research-Paper-Assistant 基于本地 RAG 的 AI 研究助手，用于分析学术论文、总结研究发现、对比研究，并以页级引用回答研究问题。构建于 Python、Streamlit、Chroma、Sentence Transformers、Ollama 和 Llama 3。An AI research assistant using local RAG to analyze academic papers, summarize research findings, compare studies, and answer research questions with page-level citations. Built with Python, Streamlit, Chroma, Sentence Transformers, Ollama, and Llama 3. 文献发现 选题与研究问题 写作 RAG 检索增强 Python 0 ★ 83 hs99700-oss/UC-Dashboard-Construction 一个能回答我研究问题的 Dashboard。A Dashboard that answers my research questions 文献发现 选题与研究问题 工程化 0 ★ 84 hirsaeki/research-loom Research Loom 是 profile 驱动的 research harness，用于维持从研究问题与证据到发现、写作与发表的全链路可追溯性Research Loom is a profile-driven research harness for maintaining traceability from research questions and evidence through findings, writing, and publication. 文献发现 选题与研究问题 写作 评测基准 Python 0 ★ 85 hechp2199/research_agent 用于生物学研究问题的科学研究 Agent。Scientific Research Agent for biological research questions 文献发现 选题与研究问题 Agent 智能体 Python 0 ★ 86 Hamad-Alajeel/ApexQ4-Agent 基于 LangGraph 的 AI Agent，分析上市公司季度财报，利用 SEC 文件与结构化财务数据，帮助用户回答限定范围内的投研问题。A LangGraph-based AI agent that analyzes public company quarterly earnings reports and helps users answer a limited set of investment-research questions using SEC filings and structured financial data. 文献发现 选题与研究问题 Agent 智能体 Jupyter Notebook 0 ★ 87 gowthamsakelu/AegisAI-Autonomous-Research-Intelligence-Agent 一个真实场景下的多能力 AI Agent，可接收用户的研究问题，自主决策所需信息，调用工具/MCP，分析信息并产出结构化报告。A real world multi capability AI agent that can take a user's research question, decide what it needs, use tools/MCP, analyze information, and produce a structured report. 文献发现 选题与研究问题 MCP Agent 智能体 Python 0 ★ 88 Gourav-praneeth/autoresearch 由 5 个 AI Agent 协同的 pipeline，自动回答研究问题。可类比为聘请 5 位专家：规划员、资料员、记录员、事实核查员与撰稿人。A pipeline of 5 AI agents that work together to answer a research question autonomously. Think of it like hiring 5 specialists: a planner, a librarian, a note-taker, a fact-checker, and a writer. 研究执行 研究设计与方法 选题与研究问题 Agent 智能体 Python 0 ★ 89 Felicia123-prog/suriname-rainfall-analysis 苏里南降雨数据分析工具包：从多个气象站加载月度降雨总量，生成年度与多年降雨图，并产出回答苏里南气候、季节与降雨趋势关键研究问题的统计结果。A toolkit for analyzing rainfall data from Suriname. This project loads monthly rainfall totals from multiple weather stations, generates yearly and multi‑year rainfall graphs, and produces statistics that answer key research questions about Suriname’s climate, seasons, and rainfall trends. 文献发现 选题与研究问题 数据与统计分析 工程化 Python 0 ★ 90 fawnritwiwat/Sleep-health-Data-Analysis 本数据分析报告研究多种因素与睡眠质量的关系，旨在回答：1) 不同年龄群体的睡眠质量关联因素是否存在差异？2) 职业对睡眠质量的影响程度如何？This data analysis report investigates the relationships between various factors and sleep quality, aiming to answer the following research question: 1) Do the factors associated with sleep quality differ among different age groups? 2) To what extent is occupation associated with sleep quality? 研究执行 数据与统计分析 选题与研究问题 工程化 Jupyter Notebook 0 ★ 91 ezer-k/chat_to_table 将真实世界的研究问题转化为带引用、可关联的 Snowflake 表。Turn real-world research questions into cited, joinable Snowflake tables. 文献发现 选题与研究问题 数据与向量库 Python 0 ★ 92 Evolved-Designs/dystiny-research-paths 为更好的 AI 研究问题梳理清晰的来源、主张、变更与权衡路径Calm source, claim, change, and tradeoff paths for better AI research questions 文献发现 选题与研究问题 Agent 智能体 HTML 0 ★ 93 evakonstantinova/ResearchIQ-Copilot ResearchIQ Copilot 是一款 AI 驱动的学术研究助手，允许用户与研究论文对话、生成文献综述、识别研究空白、对比方法论、发现经核验的同行评审研究，并将研究成果导出为 PDF 报告ResearchIQ Copilot is an AI-powered academic research assistant that allows users to chat with research papers, generate literature reviews, identify research gaps, compare methodologies, discover verified peer-reviewed studies, and export research outputs as PDF reports. 文献发现 选题与研究问题 系统综述研究设计与方法 PDF RAG 检索增强 Python 0 ★ 94 eliooyjg-hue/english-major-academic-writing-toolkit 面向英语专业本科生的一站式学术研究与论文写作工作流：文献精读、Source Map、Research Gap、语言学 APA 与文学 MLA。An end-to-end research and academic writing workflow for English majors. 论文写作 大纲与论文起草 选题与研究问题 写作 RAG 检索增强 0 ★ 95 Elaine-764/Statistical-Properties-of-Financial-Market-Returns 研究问题：流动性金融资产的相关性与波动率随时间有多稳定？常用的高斯性质在真实市场数据中是否成立？Research Questions: How stable are correlations and volatility over time in liquid financial assets? Do commonly assumed Gaussian properties hold for real market data? 文献发现 选题与研究问题 评测基准 MATLAB 0 ★ 96 drududuaomokaro/ScientiaPilot-Showcase ScientiaPilot 公开展示——从研究问题到发表全流程的科研出版操作系统。Public showcase for ScientiaPilot — a research publication operating system from research question to publication. 文献发现 选题与研究问题 Agent 智能体 0 ★ 97 DrSmriti159/scientific-research-assistant AI 辅助的科研工具，用于文献探索、证据抽取与研究问题结构化。An AI-assisted scientific research tool for exploring literature, extracting evidence, and structuring research questions. 文献发现 选题与研究问题 Agent 智能体 Python 0 ★ 98 dradhikac/ai-research-intelligence-platform 一个端到端的研究智能系统：摄取学术论文并进行语义理解，映射研究领域的关系与演进，探测尚未探索的研究空白，并使用多 Agent AI 流水线生成文献综述与回答研究问题——全部以纯 Python 构建。An end-to-end research intelligence system that ingests academic papers, understands them semantically, maps how research areas relate and evolve, detects unexplored research gaps, and uses a multi-agent AI pipeline to generate literature reviews and answer research questions — all built in pure Python. 文献发现 选题与研究问题 系统综述 Agent 智能体 Python 0 ★ 99 dg-vverma19/screen-time-impact-analysis- 使用 Kaggle 数据集分析屏幕时间对生产力多方面影响的研究问题This uses a dataset from Kaggle, to analyze multiple research questions on how screen time affects productivity in multiple aspects. 文献发现 选题与研究问题 工程化 HTML 0 ★ 100 cool-develope/material-research 将研究压缩包转化为可搜索、可引用的素材。拆分为论文、代码与数据集，索引后即可提出 Deep Research 问题，并引用页码与源行。Self-hosted（Postgres、MinIO、Qdrant）。Turn research zips into searchable, citable materials. Split papers, code, and datasets; index them; ask Deep Research questions that cite pages and source lines. Self-hosted (Postgres, MinIO, Qdrant). 文献发现 选题与研究问题 数据与向量库 Python 0 ★ 101 ckirchoff17/research-question-builder 面向高中生设计的研究问题构建与行动计划开发工具Tool designed for high school students to build a research question and develop an action plan 文献发现 选题与研究问题 工程化 HTML 0 ★ 102 cikarahmanniaf/bangalore-restaurants-analysis 基于 Kaggle Zomato Bangalore 数据集的餐厅数据分析与可视化，涵盖数据预处理、探索性分析、研究问题与可视化。Restaurant data analysis and visualization using the Zomato Bangalore dataset from Kaggle, covering data preprocessing, exploratory analysis, research questions, and visualization. 文献发现 选题与研究问题 数据与统计分析 可视化 工程化 Jupyter Notebook 0 ★ 103 chaturvediaksh1304-sudo/substrate AI 研究助手：覆盖从研究问题到文献综合、研究空白识别、假设生成与实验设计。AI research assistant: research question to literature synthesis, gap detection, hypothesis generation, and experiment design. 文献发现 选题与研究问题 Agent 智能体 Python 0 ★ 104 camila-vieirao/article-analyzer AI 驱动的工具，根据特定研究问题分析文章并对其效用进行排序AI-powered tool that analyzes articles and ranks their utility based on a specific research question 文献发现 选题与研究问题 评测基准 0 ★ 105 BluePinetree/MARS 从研究问题到论文——全自动化。基于多框架的机器学习研究流水线（CrewAI · AutoGen · LangGraph），支持流式 UI 与人在环控制。From a research question to a paper — automatically. Multi-framework ML research pipeline (CrewAI · AutoGen · LangGraph) with streaming UI and human-in-the-loop control. 文献发现 选题与研究问题 写作 Agent 智能体 Python 0 ★ 106 Atharv2122/Research-Paper-Ranking-Agent Research Paper Ranking Agent——用户向 Agent 提出研究问题，Agent 从 arXiv 检索学术论文，按相关性排序，并解释每篇论文排名的原因Research Paper Ranking Agent - a user gives the agent a research question, the agent retrieves academic papers from arXiv, ranks them according to relevance, and explains why each paper received its position. 文献发现 选题与研究问题 写作 Agent 智能体 Python 0 ★ 107 ashia-002/research-gap-discovery-agentic-orchestrator 多 Agent 研究编排框架，覆盖文献检索、论文分析、证据抽取、跨论文对比、知识综合与经过验证的研究空白发现。A multi-agent research orchestration framework for literature retrieval, paper analysis, evidence extraction, cross-paper comparison, knowledge synthesis, and validated research gap discovery. 文献发现 选题与研究问题 文献筛选与信息抽取 写作 Agent 智能体 Python 0 ★ 108 aseymourian/netflix-imdb-content-analytics 基于 IMDb 与 Netflix 互动数据（20K+ 匹配条目）的内容表现与受众分群分析。围绕五个研究问题，采用经校验的统计方法（bootstrap CI、k-means、卡方、Random Forest）作答——旨在展示面向 Disney DTC 的内容规划与分析能力。完整方法论与已知局限性均已记录。Content performance & audience segmentation analysis using IMDb and Netflix engagement data (20K+ matched titles). Five research questions answered with validated statistics (bootstrap CIs, k-means, chi-square, Random Forest) — built to demonstrate Content Planning & Analysis skills for Disney DTC. Full methodology + known limitations documented. 文献发现 选题与研究问题 数据与统计分析 工程化 Jupyter Notebook 0 ★