仓库/Skill 库

一款简易的 GUI 工具，利用 AI 从 PDF 中系统性地提取数据，以辅助荟萃分析与系统综述。A simple GUI tool to systematically extract data from PDFs to assist in meta-analysis and systematic reviews using AI

模板化的元研究范例：自文档化的可复现研究仓库。Template meta-research exemplar: self-documenting reproducible research repo

The Triplicate：数据驱动的大幅面报纸排版引擎 —— docxology/template 可复现研究范式的公开范例（测试覆盖率 ≥90%，无 mock，GitHub 与 Zenodo 10.5281/zenodo.20533675 双重发布）。The Triplicate: a data-driven large-format newspaper layout engine — public exemplar of the docxology/template reproducible-research paradigm (≥90% test coverage, no mocks, double-published GitHub + Zenodo 10.5281/zenodo.20533675).

系统综述材料：研究方案、PRISMA 记录、各研究的数据以及筛选决策。Systematic review materials: protocol, PRISMA records, per-study data, screening decisions

开源、原生支持 Claude 的文献综述工作流工具：支持 arXiv/DOI/URL/PDF 论文导入、章节抽取，并通过 paper-qa 实现单篇论文问答Open-source, Claude-native literature-review workflow tool: arXiv/DOI/URL/PDF paper ingest, section extraction, single-paper Q&A via paper-qa.

本仓库包含用于系统综述和 meta 分析的全部代码，数据来自用 IMU 数据构建 ML 模型预测帕金森症状的论文。This repository contains all the codes used to systematically review and meta-analyse the data reported in papers where ML models have been built to predict Parkinson's symptoms using IMU data.

可复现研究仓库，用于复现并扩展 Maio 与 Santa-Clara 关于短期利率创新、货币体制与股票市场异象的研究。Reproducible research repo for replicating and extending Maio and Santa-Clara on short-rate innovations, monetary regimes, and stock-market anomalies.

分析葡萄牙公共养老金体系历史融资的可复现研究包Reproducible research package analyzing the historical financing of Portugal's public pension system

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.

GreenQuill - 学术写作与碳研究咨询。GreenQuill - Academic Writing & Carbon Research Consultancy

支持自主实验、文献发现、循证科学写作与 AI 同行评审的 Agentic 研究流水线。An agentic research pipeline for autonomous experimentation, literature discovery, evidence-grounded scientific writing, and AI peer review.

记录阅读路径的 PDF 阅读器——支持精确定位的返回/前进、分支浏览以及 git 友好的会话文件。A PDF reader that remembers how you got where you are - reading trails with exact-position back/forward, branching, and git-friendly session files

用于系统综述中识别、量化、验证与可视化作者重叠的 Python 工作流。可生成研究级网络图、连通分量、重叠比例、可审计的边表以及可直接发表的图表，便于透明报告。Python workflow for identifying, quantifying, validating, and visualizing author overlap among studies included in a systematic review. Generates study-level networks, connected components, overlap percentages, auditable edge tables, and publication-ready figures for transparent reporting.

本项目根据用户检索与数据集中已有论文进行论文推荐This project recommends paper based upon your search and available papers inside the dataset

智能研究论文推荐系统，聚合 ArXiv 与 Semantic Scholar 内容，简化学术发现流程。An intelligent research paper recommender system aggregating content from ArXiv and Semantic Scholar to streamline academic discovery.

科学写作作品集，涵盖医学检验科学、分子生物学、抗微生物耐药、分子诊断、基因组学、生物信息学与计算生物学。A scientific writing portfolio exploring medical laboratory science, molecular biology, antimicrobial resistance, molecular diagnostics, genomics, bioinformatics and computational biology.

Hirdaramani Apparel Ltd 关于工作-生活平衡与员工生产力的研究，使用 R 进行统计分析、回归与 ANOVA。Research study on work-life balance and employee productivity at Hirdaramani Apparel Ltd, using R for statistical analysis, regression, and ANOVA.

面向地球核心条件下第一性原理铁模拟的工作流、输入生成、自动化与分析；包含 bcc、fcc、hcp Fe 的 DFT 研究、物态方程与磁性分析、结构处理，以及面向大规模计算活动的可复现研究脚本。workflows, input generation, automation, and analysis for first-principles iron simulations under Earth-core conditions. Includes DFT studies of bcc, fcc, and hcp Fe, equation-of-state and magnetic analyses, structure handling, and reproducible research scripts for large-scale computational campaigns.

League of Legend 匹配机制统计分析是一个个人研究项目，基于 Riot 官方 API 数据分析 Riot Games 的匹配行为。League of Legend Matchmaking Statistical Analysis is a personal research project designed to analyze Riot Games matchmaking behavior using official Riot API data.

用于执行系统文献综述（SLR）的源代码Source Code Used to Conduct the Systematic Literature Review (SLR)

Custom workflowr themes and templates for reproducible research websites in RCustom workflowr themes and templates for reproducible research websites in R

系统综述数据分析仓库：基于机器学习技术的自闭症谱系障碍儿童情绪识别Data analysis repository for systematic literature review on emotion recognition in childrens with Autism Spectrum Disorder using machine learning techniques

HMS Endeavour Liber Primus 工作的公开证据、可复现研究与验证层。Public evidence, reproducible research, and verification layer for HMS Endeavour Liber Primus work.

该密集型暑期课程向本科生介绍人口学及其在公共政策中的应用；学生学习生育、死亡、迁移等核心人口过程，以及人口研究方法、统计分析与人口数据分析。This intensive summer course introduces undergraduate students to the field of demography and its applications to public policy. Students learn the core demographic processes of fertility, mortality, and migration, along with demographic research methods, statistical analysis, and population data analysis.

Download consensus ai，可在数秒内从科学论文中获取有证据支撑的答案。面向学生、临床工作者与好奇读者，Consensus 将复杂研究转化为清晰、带引用的洞察，是值得信赖的共识研究工具，助力更快文献综述与更明智决策。Download consensus ai to find evidence-backed answers from scientific papers in seconds. Built for students, clinicians, and curious readers, Consensus turns complex studies into clear insights with citations, making it a trusted consensus research tool for faster literature review and smarter decisions.

全球研究者的终极 AI 驱动发现平台。统一搜索 8+ 专业数据库（NCBI、arXiv、OpenAlex），结合 Llama 3.1 驱动的综合分析、RAG 问答与自动化文献综述。The ultimate AI-powered discovery hub for global researchers. Unified search across 8+ specialized portals (NCBI, arXiv, OpenAlex) with Llama 3.1-driven synthesis, RAG chat, and automated literature reviews.

关于细菌抗生素耐药程度标准化定义使用的系统综述与建议A systematic review and recommendations on the use of standard definitions for extent of antibiotic resistance in bacteria

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.

我的 GitHub 个人主页，涵盖生物信息学、结构建模与可复现性研究Bioinformatics, structural modelling, and reproducible research — my GitHub profile.

后端/平台软件工程师，构建 local-first 开发者工具、可信赖自动化与可复现研究软件。Backend/platform software engineer building local-first developer tools, trustworthy automation, and reproducible research software.

综述论文《From Representation Learning to Foundation Models》的官方仓库。系统综述空间转录组学与病理学的多模态融合，提出三层分类法（Embedding、Model、Knowledge 层级）及 2018 至 2025 的演进路线图。Official repository for the survey "From Representation Learning to Foundation Models". A systematic review of multimodal fusion for Spatial Transcriptomics and Pathology, featuring a three-tier taxonomy (Embedding, Model, and Knowledge levels) and an evolutionary roadmap from 2018 to 2025.

系统综述的主动学习摘要筛选。在全部 26 个 SYNERGY 数据集上基准测试：WSS@95 均值 64.1。Active-learning abstract screening for systematic reviews. Benchmarked across all 26 SYNERGY datasets: mean WSS@95 of 64.1.

假警报降低并非校准成果：脓毒症预测机器学习校准基线的 PRISMA 系统综述与数学分析。False-alarm reduction is not a calibration achievement: a PRISMA-compliant systematic review and mathematical analysis of calibration baselines in machine learning for sepsis prediction