学术写作

01 htlin222/meta-pipe 由 Claude Code 驱动的端到端元分析自动化：AI 辅助文献综述、筛选、提取、分析与稿件生成，面向系统综述和临床证据合成。Claude Code-powered end-to-end meta-analysis automation: AI-assisted literature review, screening, extraction, analysis, and manuscript generation for systematic reviews and clinical evidence synthesis 证据综述 Meta 分析与证据综合 系统综述文献筛选与信息抽取 引用写作 Agent 智能体 Python +10/周 130 ★ 02 eliaswestonfarber/scienceai 一个用于科学文献分析的开源 agentic harness。可协调前沿模型提取数据、复现发现并执行系统综述，具备完整的溯源追踪能力。An open-source agentic harness for scientific literature analysis. Coordinates frontier models to extract data, replicate findings, and perform systematic reviews with full provenance tracking. 证据综述 Meta 分析与证据综合 系统综述文献筛选与信息抽取 引用 Agent 智能体 Python 9 ★ 03 fabiocampolim-design/scitech-librarian 一次查询，覆盖全部学术数据库；每次运行归档井然有序。跨 OpenAlex、ADS、arXiv、INSPIRE、Scopus、Semantic Scholar、Crossref 与 WoS 的可复现、合规文献检索One query. Every scholarly database. A tidy archive of every run. Reproducible, ToS-compliant literature search across OpenAlex, ADS, arXiv, INSPIRE, Scopus, Semantic Scholar, Crossref and WoS. 证据综述 系统综述 文献检索与全文获取实验与代码复现 引用 数据与向量库 Python 5 ★ 04 686f6c61/Hermes-Research-PRISMA 一个可复现的 Hermes Agent 研究运行时，用于系统性文献综述、全文证据抽取、方法路由以及可审计的发表产出。A reproducible Hermes Agent research runtime for systematic literature reviews, full-text evidence extraction, methodological routing, and auditable publication artifacts. 证据综述 系统综述 文献筛选与信息抽取实验与代码复现 引用LaTeX Agent 智能体 Python 5 ★ 05 mikhaeelatefrizk/affect-labeling-review 对情感标注（Lieberman 等 2007 范式）的系统综述与 Meta 分析。随机效应 Meta 分析（k=8），遵循 PRISMA 2020、RoB 2 / ROBINS-I，约 10,500 词手稿。开放数据与代码。Systematic review and meta-analysis of affect labeling (Lieberman et al. 2007 paradigm). Random-effects meta-analysis (k=8), PRISMA 2020, RoB 2 / ROBINS-I, ~10,500-word manuscript. Open data and code. 证据综述 系统综述 Meta 分析与证据综合实验与代码复现 引用写作 评测基准 Python 1 ★ 06 herbertkokholm/attest 针对 LLM 集成证据筛选（系统综述标题/摘要筛选）的筛选-自验证内核。Screening-and-self-validation kernel for LLM-ensemble evidence screening (systematic review title/abstract screening). 证据综述 系统综述 文献筛选与信息抽取Meta 分析与证据综合 引用 评测基准 Python 1 ★ 07 aidadbeni/Computational-Pathology 围绕病理 foundation models（尤其是 Prov-GigaPath）的文献综述与可复现性研究Literature review and reproducibility work on pathology foundation models, with a focus on Prov-GigaPath. 证据综述 系统综述 实验与代码复现 多模态 Jupyter Notebook 1 ★ 08 yanjingren97/HNSCC-hypoxia-landmark HNSCC 低氧相关信号多队列 landmark 荟萃分析的可复现代码与衍生结果。Reproducible code and derived results for a multi-cohort landmark meta-analysis of HNSCC hypoxia signatures. 证据综述 Meta 分析与证据综合 实验与代码复现 工程化 Python 0 ★ 09 xuxiang-hub/runtime-safety-review 学习驱动运动预测与规划中风险校准及运行时保障系统综述的可复现材料。Reproducibility materials for a systematic review of risk calibration and runtime assurance in learning-enabled motion prediction and planning. 证据综述 系统综述 实验与代码复现 引用 安全与风险 Python 0 ★ 10 s-matysik/SnowBallSLR 面向系统文献综述的确定性、饱和度感知滚雪球方法：可配置的停止规则、捕获-再捕获召回率估计、哈希校验的可复现性。Deterministic, saturation-aware snowballing for systematic literature reviews: configurable stopping rules, capture-recapture recall estimation, hash-verified reproducibility. 证据综述 系统综述 实验与代码复现 工程化 Python 0 ★ 11 rojinamdii/svm-cancer-omics-systematic-review 基于 SVM 的组学及组学相邻数据的癌症检测系统综述的数据与可复现性材料。Data and reproducibility materials for a systematic review of SVM-based cancer detection using omics and omics-adjacent data. 证据综述 系统综述 实验与代码复现 引用 评测基准 R 0 ★ 12 matguo/Phyadv_pipeline 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. 证据综述 系统综述 实验与代码复现 引用写作 多模态 0 ★ 13 leahvdh/survai von der Heyde, L., Keusch, F., Buskirk, T. D., & Eck, A. (2026). AI in the Loop?! A Systematic Review of the Use of Large Language Models in Survey and Public Opinion Research. SocArXiv. https://doi.org/10.31235/osf.io/eubj4_v1 的复现材料与文献数据库Replication materials and literature databases for von der Heyde, L., Keusch, F., Buskirk, T. D., & Eck, A. (2026). AI in the Loop?! A Systematic Review of the Use of Large Language Models in Survey and Public Opinion Research. SocArXiv. https://doi.org/10.31235/osf.io/eubj4_v1. 证据综述 系统综述 实验与代码复现 引用 数据与向量库 TeX 0 ★ 14 KrizzaX/Epilepsy-Meta-Analysis-Replication 使用 R 和 ggplot2 复现一篇癫痫遗传学 meta 分析的 Figure 2AReplication of Figure 2A from an epilepsy genetics meta-analysis using R and ggplot2. 证据综述 Meta 分析与证据综合 实验与代码复现数据与统计分析 可视化 工程化 R 0 ★ 15 Kishaz/systematic-literature-review 一套可移植、可复现的 PRISMA 2020 系统综述流水线：检索 15 个数据库、执行去重、以完整审计追踪管理人工筛选，并根据决策日志计算 PRISMA 流程计数。A portable, reproducible PRISMA 2020 systematic literature review pipeline. Searches 15 databases, deduplicates, manages human screening with a full audit trail, and computes PRISMA flow counts from the decision log. 证据综述 系统综述 Meta 分析与证据综合实验与代码复现 引用 数据与向量库 Python 0 ★ 16 jakemorgan-research/codex-sci-research-lifecycle 可审计的 Codex skill 与 Python 项目包，用于证据可追溯的研究、系统综述、投稿与修订。Auditable Codex skill and Python project pack for evidence-traceable research, systematic reviews, submission, and revision. 证据综述 系统综述 实验与代码复现大纲与论文起草 引用Skill写作 多模态 Python 0 ★ 17 harisawan-bit/episteme Episteme：可复现、无外部依赖的系统综述与 Meta 分析引擎（PubMed → PRISMA → Meta 分析 → SVG 图表，一键完成）。无需付费 API，无需 numpy，无需 R。Episteme: reproducible, dependency-free systematic-review & meta-analysis engine (PubMed -> PRISMA -> meta-analysis -> SVG figures in one command). No paid APIs, no numpy, no R. 证据综述 Meta 分析与证据综合 系统综述实验与代码复现 引用 Agent 智能体 Python 0 ★ 18 fsy2004/MetaWingman 以问题为先、步骤可验证、可自我进化的 agent skill，用于系统综述与 Meta 分析。A question-first, step-verified, self-improving agent skill for systematic reviews and meta-analysis 证据综述 Meta 分析与证据综合 系统综述实验与代码复现 引用Skill 评测基准 Python 0 ★ 19 cw18-coder/lit-screening-pipeline 系统文献综述的混合半自动筛选流水线（确定性过滤 + LLM 裁决）Hybrid semi-automated screening pipeline for systematic literature reviews (deterministic filters + LLM adjudication) 证据综述 系统综述 实验与代码复现 引用 Agent 智能体 TypeScript 0 ★ 20 ahnhyungwoo/bosniak-reproducibility-meta-analysis 用于 Bosniak 分级可重复性系统综述与 meta 分析的数据及 R 代码Data and R code for the systematic review and meta-analysis of Bosniak classification reproducibility 证据综述 Meta 分析与证据综合 实验与代码复现系统综述 引用 评测基准 R 0 ★