仓库/Skill 库

硕士研究项目中用于统计分析与数据可视化的 R 脚本R scripts used for statistical analysis and data visualisation in my MSc research project.

基于 CrewAI、PostgreSQL 与科学 API 集成的多 Agent PRISMA 系统综述编排器Multi-agent PRISMA systematic review orchestrator with CrewAI, PostgreSQL, and scientific API integrations

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.

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

将 AI/ML/DL 应用于 CarakaBinary（源自《Carakasaṃhitā》的梵文 NLP 数据集）的研究项目。通过探索 EDA、ML、DL 与预训练模型来学习可复现研究。长期目标：为梵文与阿育吠陀知识构建可信的 AI。Research project applying AI/ML/DL to CarakaBinary, a Sanskrit NLP dataset derived from the Carakasaṃhitā. Exploring EDA, ML, DL and pretrained models to learn reproducible research. Long-term aim: build trustworthy AI for Sanskrit and Ayurvedic knowledge.

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.

独立的自主证据综合与系统综述工作台Standalone Autonomous Evidence Synthesis & Systematic Review Workbench

使用 R 进行荣誉研究项目的源码与统计分析。Source code and statistical analysis for my honours research project using R.

本仓库包含用于结构化数据新型类别不平衡学习方法系统文献综述的 Python 流水线与最终数据集，支持文章自动筛选，并提供文章级与实验级摘要，包括所用数据集与报告的性能结果。This repository contains a Python-based pipeline and final dataset used in a Systematic Literature Review on novel class imbalance learning methods for structured data. It supports automated article filtering and provides article- and experiment-level summaries, including datasets used and reported performance results.

面向生态学文献综述的 AI 辅助流水线，内置对 iEcology 与保护生物学相关数据源（社交媒体追踪、博物馆标本记录、新闻档案）的支持。AI-assisted pipeline for ecological literature review with built-in support for data sources relevant to iEcology and conservation biology (social-media tracking, museum specimen records, news archives).

文献综述 AI 工作台Literature Review AI Workbench

展示学术写作与技术传播成果的专业数字作品集。Professional digital portfolio showcasing my academic writing and technical communication work.

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

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.

面向 Neuro-Olfactive Intelligence 的专有可复现研究框架Proprietary reproducible research framework for Neuro-Olfactive Intelligence

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.

基于 Codex、LaTeX、TeX Live 与 VS Code 的双语可复现学术写作工作流。A bilingual, reproducible workflow for academic writing with Codex, LaTeX, TeX Live, and VS Code.

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.

本项目研究金融市场的统计特性、不同资产的收益行为、风险测度以及跨市场关联的量化方法，奠定量化研究的核心技能基础。This project investigates the statistical properties of financial markets, how different assets behave, how risk is measured, and how inter-market relationships can be quantified; building the core skills used in quantitative research.

可复现研究流程，通过改造预训练 LLM tokenizer 降低尼泊尔天城文分词成本：连续/字素感知的 BPE 候选挖掘、基于边际增益的贪心词表选择、保留 ID 的 merge 拼接、基于分解的 embedding 初始化，以及 embedding-only/LoRA/CPT 适配；面向 6GB 笔记本 GPU 调优。Reproducible research pipeline that reduces Nepali Devanagari tokenization tax by retrofitting a pretrained LLM tokenizer: continued/grapheme-aware BPE candidate mining, greedy marginal-gain vocabulary selection, ID-preserving merge splicing, decomposition-based embedding init, and embedding-only/LoRA/CPT adaptation. Tuned for a 6GB laptop GPU.

一款连接 AI 助手与 Sci-Hub 的 MCP 服务器，用于自动化学术研究。专为 RAG 设计，可绕过付费墙、处理验证码、通过 OCR 提取文本，并作为循证推理的主要数据获取器An MCP server that bridges AI assistants with Sci-Hub for automated academic research. Designed for Retrieval-Augmented Generation (RAG), it bypasses paywalls, handles captchas, extracts text via OCR, and serves as the primary data-fetcher for evidence-based reasoning.

《面向可持续制药制造的混合人工智能：系统综述、分类法、整合框架与研究议程》的数据、代码与补充材料Data, code, and supplementary materials for Hybrid Artificial Intelligence for Sustainable Pharmaceutical Manufacturing: A Systematic Review, Taxonomy, Integrative Framework, and Research Agenda

可复现研究：基于基准、统计模型与走步前向验证，检验可解释的市场信号能否预测 SPY 的五日方向。Reproducible research testing whether interpretable market signals can forecast SPY’s five-day direction using benchmarks, statistical models, and walk-forward validation.

用于构建高质量医美研究问题的 Codex SkillCodex skill for developing strong medical aesthetic research questions

应用 AI、可复现研究与可靠工程。Applied AI, reproducible research, and reliable engineering.

MCP Server for Academic Research & Literature Review

涵盖项目开发、研究、公共卫生与政策领域的数据分析、统计分析与数据可视化项目精选集A collection of selected data analytics, statistical analysis, and data visualization projects developed across project development, research, public health, and policy.

来自 Principia 的研究问题合集Collective gatherings of research questions from Principia

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.

系统综述《Artificial Intelligence for Agricultural Residue Burning Monitoring》的数据、筛选记录与补充材料。Data, screening records, and supporting materials for the systematic review “Artificial Intelligence for Agricultural Residue Burning Monitoring.”

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.

元宇宙信任模型 PRISMA 2020 系统综述的筛选记录（2002 年–2026 年 6 月）。包含 2026 年 7 月检索更新中识别的 496 条记录的逐条筛选决策、排除原因与主题标签。IEEE TPS 2026 双盲评审论文的补充材料。Screening record for a PRISMA 2020 systematic review of trust models for the Metaverse (2002–June 2026). Contains per-record screening decisions, exclusion reasons, and theme labels for 496 records identified in the July 2026 search update. Supplementary material for a paper under double-blind review at IEEE TPS 2026.