学术写作

73 sumuthuni/Reproducible-research-in-marine-science 研究执行 实验与代码复现 工程化 0 ★ 74 soundarya24/redesigned-garbanzo 用于演示可复现研究的 demo 项目a demo project for demonstrating reproducible research 研究执行 实验与代码复现 工程化 0 ★ 75 soheylfalahzade/geometric-spanners-lab 可复现研究基准实验：二维度量空间下的贪心 t-Spanner 构造算法A reproducible research benchmarking lab for Greedy t-Spanner Construction Algorithms in 2D Metric Spaces. 研究执行 实验与代码复现 评测基准 Python 0 ★ 76 Silviu812/Reproducible-Research-Pipeline-for-JupyterLab 研究执行 实验与代码复现 工程化 TypeScript 0 ★ 77 seeton/Voynich-public 面向 Voynich Manuscript 多尺度结构的可审计可复现研究。Audited reproducible research on multiscale structure in the Voynich Manuscript 研究执行 实验与代码复现 写作 工程化 Python 0 ★ 78 SciToolsmith/scirepro 从已发表图表到可复现研究工作流：借助 Codex 理解证据、重建方法并验证科学复现。From published figures to reproducible research workflows: understand evidence, reconstruct methods, and validate scientific reproduction with Codex. 研究执行 实验与代码复现 研究设计与方法 Agent 智能体 Python 0 ★ 79 sandesh20lamichhane/when-should-ids-adapt 一个用于研究入侵检测系统 (IDS) 在时间分布漂移下何时应进行适应的可复现研究框架。该项目评估了一个分阶段决策流水线，结合漂移筛查、新颖性检测与成本感知的适应触发器，以判断重训练是否必要且有益。A reproducible research framework for investigating when an Intrusion Detection System (IDS) should adapt under temporal distribution shift. The project evaluates a staged decision pipeline combining drift screening, novelty detection, and cost-aware adaptation triggers to determine whether retraining is necessary and beneficial. 研究执行 实验与代码复现 评测基准 Jupyter Notebook 0 ★ 80 Samar-Khalid/Paper-1-NL2SQL-Ambiguity 论文一：NL2SQL 歧义检测——M1.5 分类法、确定性基线、人工金标评估与可复现研究制品Paper 1: NL2SQL Ambiguity Detection — M1.5 taxonomy, deterministic baseline, human-gold evaluation, reproducible research artifact 研究执行 实验与代码复现 写作 评测基准 Python 0 ★ 81 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 ★ 82 ruiwuniu/My-Academic-Skills 可复用的 Codex skills，涵盖文献综述、学术写作、数学推理、数值仿真以及可发表的图表。Reusable Codex skills for literature review, academic writing, mathematical reasoning, numerical simulation, and publication-ready figures. 论文写作 大纲与论文起草 系统综述实验与代码复现 可视化写作 Agent 智能体 Python 0 ★ 83 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 ★ 84 ridhed/carakabinary-ai-research 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. 研究执行 实验与代码复现 工程化 0 ★ 85 ranaliwaa369/NOI-Research 面向 Neuro-Olfactive Intelligence 的专有可复现研究框架Proprietary reproducible research framework for Neuro-Olfactive Intelligence 研究执行 实验与代码复现 评测基准 Python 0 ★ 86 RaghavAgrawal5/nepali-devanagari-tokenizer-retrofit 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. 研究执行 实验与代码复现 RAG 检索增强 Python 0 ★ 87 QRSocietyTMU/AlphaProject 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. 研究执行 实验与代码复现 评测基准 Jupyter Notebook 0 ★ 88 QEbellavita/QEbellavita 应用 AI、可复现研究与可靠工程。Applied AI, reproducible research, and reliable engineering. 研究执行 实验与代码复现 工程化 0 ★ 89 psivicom/psivicom.github.io 符合 NASA、ESA、CSA 规范的 FAIR 开放科学、开源软件与可复现研究。代码许可：EUPL 1.2。数据/文档许可：CC BY-SA 4.0。通过 Zenodo/OSF 分配 DOI。研究者：Louis-Philippe Audette | psivi.comFAIR open science, open-source software, and reproducible research aligned with NASA, ESA, and CSA. Code: EUPL 1.2. Data/Docs: CC BY-SA 4.0. DOIs via Zenodo/OSF. Researcher: Louis-Philippe Audette | psivi.com 研究执行 实验与代码复现 工程化 HTML 0 ★ 90 pot-oie/Face-DeStyle-Pipeline 面向人脸域去风格化、结构条件化、评估与质量过滤的紧凑型可复现研究流水线。Compact reproducible research pipeline for face-domain destylization, structural conditioning, evaluation, and quality filtering. 研究执行 实验与代码复现 评测基准 Python 0 ★ 91 Pomona-College/hpc-reproducible-research 关于可复现 pipelines 的 capstone workshop：项目结构、环境、Make、containers 与多步 SLURM workflows。Capstone workshop on reproducible pipelines: project structure, environments, Make, containers and multi-step SLURM workflows. 研究执行 实验与代码复现 工程化 0 ★ 92 polymtl-reproducible-research/notebook-example Jupyter notebook 示例Example Jupyter notebook 研究执行 实验与代码复现 工程化 Jupyter Notebook 0 ★ 93 polymtl-reproducible-research/ing8100 在 Polytechnique 开设课程的相关文件（如 plan de cours）。Files related to the course given at polytechnique (eg: plan de cours) 研究执行 实验与代码复现 工程化 TeX 0 ★ 94 pmpk20/Forest_CES_MetaAnalysis 论文《Quantifying temporal changes in the monetary value of forest cultural ecosystem services globally: a meta-analysis (2026)》的复现材料。Replication materialss for: Quantifying temporal changes in the monetary value of forest cultural ecosystem services globally: a meta-analysis (2026) 研究执行 实验与代码复现 Meta 分析与证据综合 工程化 R 0 ★ 95 Pegi1727/Prompt-Skill-Matters-L2-Academic-Writing 论文《Prompt Skill Matters: Examining GenAI Interaction and Writing Quality in L2 Academic Writing》的复现材料、统计分析脚本与补充数据，AI 介导的 L2 写作研究开放科学资源。Replication materials, statistical analysis scripts, and supplementary data for the study 'Prompt Skill Matters: Examining GenAI Interaction and Writing Quality in L2 Academic Writing'. Open science resource for AI-mediated L2 writing research. 论文写作 大纲与论文起草 数据与统计分析实验与代码复现 Skill写作 评测基准 R 0 ★ 96 OzanOzkan/ddd-landscape-github "Domain-Driven Design in Practice: A Large-Scale Empirical Characterisation of the Open-Source Ecosystem" 的复现包——包含数据收集工具、GPT-4o 语义验证流水线，以及针对所有研究问题的 SQL 查询。Replication package for "Domain-Driven Design in Practice: A Large-Scale Empirical Characterisation of the Open-Source Ecosystem" — includes data collection tools, GPT-4o semantic validation pipeline, and SQL queries for all research questions. 文献发现 选题与研究问题 实验与代码复现 数据与向量库 Python 0 ★ 97 outrotim/ideal-to-real-publication-figure Codex skill：将已批准的科研图表蓝图转化为可溯源、使用真实数据的发表级图表。Codex skill for turning approved scientific figure blueprints into traceable real-data publication figures 投稿发表 科研图表与表格 实验与代码复现研究诚信与 AI 写作治理 可视化Skill 多模态 0 ★ 98 obafgkm42/hyperliquid-sp500-reversal-scanner 只读型 Hyperliquid SP500 反转扫描器，配套 Discord 告警与可复现研究工具Read-only Hyperliquid SP500 reversal scanner with Discord alerts and reproducible research tooling. 研究执行 实验与代码复现 工程化 Python 0 ★ 99 NullLabTests/AlgoLab Autonomous AI Algorithm Discovery Laboratory：一个有边界、可复现的研究平台，在固定算力预算下提出、实现、测试、拒绝、改进并报告 AI 系统的候选改进方案。Autonomous AI Algorithm Discovery Laboratory: a bounded, reproducible research platform that proposes, implements, tests, rejects, refines, and reports candidate improvements to AI systems under a fixed compute budget. 研究执行 实验与代码复现 Agent 智能体 Python 0 ★ 100 NoeFlandre/distill-abm 可复现的研究流水线：将基于 Agent 的模型产出转化为有证据支撑的 LLM 高管报告。A reproducible research pipeline for converting agent-based model artifacts into evidence-backed LLM executive reports. 研究执行 实验与代码复现 Agent 智能体 Python 0 ★ 101 niujuxin/opencode-expert 将 OpenCode 转变为可复现的研究工具Turn OpenCode into a reproducible research instrument. 研究执行 实验与代码复现 Agent 智能体 0 ★ 102 neuron7x/neuron7x Yaroslav Vasylenko —— AI 系统、验证工程、可复现研究与 agentic workflows。Yaroslav Vasylenko — AI systems, verification engineering, reproducible research, and agentic workflows. 研究执行 实验与代码复现 Agent 智能体 0 ★ 103 Neuroca-Inc/vdm-provenance-helper Neuroca provenance 工具集，用于可复现的研究包、完整性清单、出版物元数据以及独立的 artifact 验证。Neuroca provenance tooling for reproducible research packages, integrity manifests, publication metadata, and independent artifact verification. 研究执行 实验与代码复现 数据与统计分析 安全与风险 Python 0 ★ 104 naiem7788/FraudBench-Hybrid-A-Reproducible-Framework-for-Temporal-Bank-Fraud-Detection FraudBench-Hybrid 是一个面向时序银行欺诈检测的可复现研究框架，仓库包含数据集配置、防数据泄露的 Heavy Hybrid 集成实现、实验评估、结果、可视化分析及未来研究扩展资料FraudBench-Hybrid is a reproducible research-based framework developed for temporal bank fraud detection. This repository will include dataset configuration, leakage-controlled Heavy Hybrid ensemble implementation, experimental evaluation, results, visual analysis, and material for future research extensions. 研究执行 实验与代码复现 评测基准 Jupyter Notebook 0 ★ 105 Mubashir-zz/glioma-nco-registry-study 289 项随机胶质母细胞瘤/HGG 临床试验中的客观神经认知终点。可复现的 R pipeline、Firth 惩罚回归、发表级图表与稿件。Objective neurocognitive endpoints in 289 randomized glioblastoma/HGG trials. Reproducible R pipeline, Firth penalized regression, publication figures and manuscript. 投稿发表 科研图表与表格 数据与统计分析实验与代码复现 写作 工程化 Python 0 ★ 106 miraflor/CGE-core 开源 Python CGE 建模框架，扩展自 Fung & Burtwistle 的 PyCGE 及 Hosoe–Gasawa–Hashimoto 教材模型，包含 CAMCGE 与 IFPRI 实现。面向政策模拟、教学、复现与可重复研究；"-Core" 遵循 OG-Core 的示例约定。Open-source Python framework for CGE modelling, extending PyCGE by Fung & Burtwistle and the Hosoe–Gasawa–Hashimoto textbook models, with CAMCGE and IFPRI implementations. Built for policy simulation, teaching, replication and reproducible research; “-Core” follows the convention exemplified by OG-Core. 研究执行 实验与代码复现 工程化 Python 0 ★ 107 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 ★ 108 madebymlai/aegis 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. 研究执行 实验与代码复现 工程化 Python 0 ★