仓库/Skill 库

开源 Python 平台，用于粗糙随机波动率的模拟、定价与统计分析。索尔福德大学独立研究项目。Open-source Python platform for simulation, pricing, and statistical analysis of rough stochastic volatility. Independent research programme, University of Salford

面向 Microsoft Word 的 AI 驱动学术校对工具，支持修订痕迹、审稿意见与写作润色，兼容 macOS 与 Windows。AI-powered academic proofreading for Microsoft Word — tracked changes, reviewer comments, and writing polish on macOS & Windows.

Virastar — 面向生产环境的 Agent Skill，用于波斯语学术写作、校对与论文编辑，支持波斯语正字法、学术风格、术语一致性、XePersian/LaTeX 以及证据感知科学编辑Virastar — A production-oriented agent skill for Persian academic writing, proofreading, and thesis editing, with support for Persian orthography, academic style, terminology consistency, XePersian/LaTeX, and evidence-aware scientific editing.

Portable Agent Plugins 1.0 skill，支持 STAR 简历撰写、指标推断、XeLaTeX/PDF 排版、视觉 QA 与面试准备。Portable Agent Plugins 1.0 skill for STAR resume writing, metric inference, XeLaTeX/PDF typesetting, visual QA, and interview preparation.

对 LLM 文献筛选方法的受控双研究对比——RAG 与 zero-shot、自适应与被动选文——并以真实系统综述的真值标注进行评估。Controlled two-study comparison of LLM-based literature screening methods — RAG vs. zero-shot, and adaptive vs. passive paper selection — evaluated against real systematic review ground truth.

本文件夹包含一系列研究问题及用于回答这些问题的 Python 实验。This folder contains a series of research questions and Python experiments designed to answer those questions.

一个用于自动化文献综述、论文摘要和引文映射的多 Agent AI 系统。A multi-agent AI system for automated literature review ,paper summarization, and citation mapping.

一个基于 Web 的标注平台，用于手工标注与公共空间相关的 STOMP 文章。该应用支持人工标注员对文章进行分类、回答结构化研究问题，并导出标注结果以用于计算社会科学研究。A web-based annotation platform for manually labeling STOMP articles related to common spaces. The application enables human annotators to classify articles, answer structured research questions and export annotations for computational social science research.

第四周小组文献综述Group Literature Review for Week 4

Maziyar Bahrami 的个人主页——展示跨学科研究、专业经历、项目与科学写作。Personal website of Maziyar Bahrami — interdisciplinary research, professional experience, projects, and scientific writing.

面向探索的 Agentic 话语——自主 Claude 专家，研究、辩论、互评并综合回答研究问题。Agentic discourse for discovery — autonomous Claude specialists that research, debate, cross-rate, and synthesize answers to research questions

对 2024 年 8 月至 2026 年 8 月间 20 本期刊发表的 3,639 篇媒体与传播学文章的交互式扫描，基于 Crossref 与 OpenAlex。这是一个分诊工具而非系统综述——局限性请参阅 README。Interactive scan of 3,639 media & communication articles published Aug 2024 - Aug 2026 across 20 journals. Crossref + OpenAlex. A triage tool, not a systematic review - see README for limitations.

本仓库包含论文补充材料，旨在提升系统综述的透明度、可复现性与完整性，涵盖筛选文档、检索策略以及计算机视觉中物理对抗攻击的详细分析。This repository contains the supplementary materials accompanying our paper. The materials are designed to support the transparency, reproducibility, and comprehensiveness of the systematic review, including screening documentation, search strategies, and detailed analysis of physical adversarial attacks in computer vision.

用于追踪 SRH 上 claude 编码过程的仓库。Repository for tracking of claude coding on SRH

将 Claude 连接至 Overleaf 的 MCP server，可在免费层读取、编辑、编译与恢复 LaTeX 项目。MCP server that connects Claude to Overleaf. Read, edit, compile and restore LaTeX projects on the free tier.

面向 Claude 的专业写作工坊（Cowork 与 Claude Code）：26 种源文体，纯 Python 确定性护栏，严格内部风格规范，输出符合规范的 Word、PDF、HTML 与 LaTeX。支持法语。Atelier d'ecriture professionnel pour Claude (Cowork et Claude Code) : 26 genres sources, garde-fous deterministes en Python pur, style maison strict, sorties Word, PDF, HTML et LaTeX a la charte. En francais.

探索由 19,846 篇量子计算论文组成的 AI 原生知识库，面向搜索、趋势分析与 LLM 友好的研究工作流Explore an AI-native knowledge base of 19,846 quantum computing papers, built for search, trend analysis, and LLM-ready research workflows

BYOK AI 科研工作台——提供科学写作、可编辑图表、PPT 生成与参考文献管理，支持 12+ 模型提供商。BYOK AI research workbench — scientific writing, editable figures, PPT generation, and reference management. Supports 12+ model providers.

面向音乐学与音乐教育学术写作的 Skills 工具包。Skills package for musicology and music education academic writing

基于机器学习的 Python 推荐系统。Machine Learning Based Recommendation System in Python

本仓库包含论文《Assessment of Retinal and Choroidal Vessel Density and Nerve Fiber Layer Thickness Changes after Surgery in Intraconal Tumors》中用于统计分析与图表生成的代码。This repository contains the codes that were used for the statistical analysis and figure generation in "Assessment of Retinal and Choroidal Vessel Density and Nerve Fiber Layer Thickness Changes after Surgery in Intraconal Tumors"

端到端系统化交易平台，覆盖可复现研究、共享行情与成交合约、投资组合回测与实盘交易。End-to-end systematic trading platform spanning reproducible research, shared market data and execution contracts, portfolio backtesting, and live trading.

促成深度协作讨论，让 AI Agent 与人类共同探索跨学科复杂研究问题。Facilitate in-depth collaborative discussions where AI agents and humans explore complex research questions across disciplines.

用于复现 https://arxiv.org/abs/2106.12905 中图示所使用代码与数据的仓库。A repository to story the code and data used to create the figures shown in https://arxiv.org/abs/2106.12905

通过实战示例学习 LaTeX，涵盖文档排版、数学公式、表格以及面向中文用户的 Beamer 演示文稿。Learn LaTeX through practical examples including document formatting, math formulas, tables, and Beamer presentations for Chinese users.

由 Claude 与 Gemini 驱动的学术写作工作空间。An Academic writing workspace powered by Claude and Gemini

🎓 创建适用于 2025 华为杯研究生数学建模竞赛的 LaTeX 模板，完美兼容 Overleaf 并配置所需中文字体。🎓 Create a LaTeX template for the 2025 Huawei Cup Graduate Mathematical Modeling Contest, fully compatible with Overleaf and featuring essential Chinese fonts.

仓库包含文章与 Excel 文件，收录系统综述《人工智能方法在实体瘤疗效评价标准中的应用》中的 CLAIM 与 FUTURE-AI 评估。Repository containing articles and Excel files with CLAIM and FUTURE-AI assessments for the systematic review Artificial intelligence approaches to the Response Evaluation Criteria in Solid Tumors: a systematic review.

用于规范化文献综述循环工作流的本地 Codex SkillLocal Codex skill for a disciplined literature-review loop workflow.

一种经过证据校准的 Codex skill，用于在不夸大主张的前提下强化学术写作。An evidence-calibrated Codex skill for strengthening academic writing without overstating claims.

基于 IQ 信号、采用 STFT 频谱图、视觉模型、k-fold 训练与集成推理的多节点 RF 无人机识别可复现研究工具包。A reproducible research toolkit for multi-node RF drone identification from IQ signals using STFT spectrograms, vision models, k-fold training, and ensemble inference.