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方向榜单 Legacy
| 图表与可视化 | 78 | HarisIqbal88/PlotNeuralNet · garrettj403/SciencePlots · Gabberflast/academic-pptx-skill |
01
HarisIqbal88/PlotNeuralNet
用于绘制神经网络结构图的 LaTeX 代码Latex code for making neural networks diagrams
+21/周
24,939 ★
02
garrettj403/SciencePlots
面向科学绘图的 Matplotlib 样式集Matplotlib styles for scientific plotting
+21/周
9,120 ★
03
Gabberflast/academic-pptx-skill
用于创建学术演示(会议报告、研讨会幻灯片、论文答辩、资助简报)的 Claude Skill。强制使用行动标题、结构化论证、展品规范、引用标准和沟通优先的设计。可与 Anthropic 内置 PPTX skill 配合使用。A Claude Skill for creating academic presentations (conference talks, seminar slides, thesis defenses, grant briefings). Enforces action titles, structured argument, exhibit discipline, citation standards, and communication-first design. Works alongside Anthropic's built-in PPTX skill.
+14/周
758 ★
04
Jaxon1216/MathModelHub
美赛/ICM综合准备资源库。包含可复用的数学建模Python代码、LaTeX/Word模板、数据分析笔记本和历年赛题组织。旨在优化竞赛流程,促进可复现研究。A comprehensive toolkit for MCM/ICM preparation. Features reusable Python code for mathematical modeling, LaTeX/Word templates, data analysis notebooks, and organized past problems. Aimed at streamlining the contest workflow and fostering reproducible research.
+4/周
19 ★
05
FarisHrvat/assayplot
面向实验室的免费开源统计与发表图表工具,43 项分析已与 R 校验,可在 macOS、Windows 与 Linux 上离线运行。Free, open-source statistics and publication figures for the lab. 43 analyses checked against R. Runs offline on macOS, Windows and Linux.
15 ★
06
DRZ-hang/StatMate
以证据为先的 agent skill,基于真实研究数据生成可审计的统计分析、诊断、发表级图表、表格与教学报告。Evidence-first agent skill for auditable statistical analysis, diagnostics, publication figures, tables, and teaching reports from real research data.
4 ★
07
ChristianLG2/minimum-wage-unemployment-regression-analysis
CPI(消费者价格指数)与工资差距趋势的统计分析,结合数据探索、可视化与基于 R 的计量经济学方法,附有既有研究综述与可复现的工作流以便扩展分析。Statistical analysis of CPI (Consumer Price Index) and wage disparity trends, combining data exploration, visualization, and R-based econometric methods. Includes a review of prior research and a reproducible workflow for extending the analysis.
3 ★
08
ChristianLG2/CPI-Wage-Disparity-Statistical-Analysis
对 CPI(消费者价格指数)与工资差距趋势的统计分析,涵盖数据探索、可视化及基于 R 的计量经济学方法。包含对既有研究的回顾以及可复现的扩展分析工作流。Statistical analysis of CPI (Consumer Price Index) and wage disparity trends, combining data exploration, visualization, and R-based econometric methods. Includes a review of prior research and a reproducible workflow for extending the analysis.
3 ★
09
sakti38/A1
学习时记录的笔记素材。Materi yang dicatatkan saat belajar
2 ★
10
iampeti/Thesis_Gender_Bias
📊 通过统计分析基因表达差异,调查临床研究中的性别偏差,以改善医疗结果。📊 Investigate gender bias in clinical research through statistical analysis of gene expression differences to improve healthcare outcomes.
2 ★
11
hx-paper/hxx-publication-figures
可复用的 Codex skill,用于生成紧凑、可直接投稿的科研配图,含匿名模板与统一的 V7 样式。Reusable Codex skill for compact, journal-ready scientific figures with anonymous templates and consistent V7 styling.
2 ★
12
cran/AgriDataTools
这是 CRAN R 软件包的只读镜像。AgriDataTools —— 面向农业研究的自动化统计分析与工具。主页:https://faheemkhan15326.github.io/AgriDataTools/ 反馈 Bug:https://github.com/faheemkhan15326/AgriDataTools/issues:exclamation: This is a read-only mirror of the CRAN R package repository. AgriDataTools — Automated Statistical Analysis and Tools for Agricultural Research. Homepage: https://faheemkhan15326.github.io/AgriDataTools/ Report bugs for this package: https://github.com/faheemkhan15326/AgriDataTools/issues
2 ★
13
yss-off/research-figure-kit
可编辑、可验证、可复现的研究图表——面向 Draw.io 与科学可视化的 Codex 插件。Editable, verifiable, reproducible research figures — a Codex plugin for Draw.io and scientific visualization.
+4/周
1 ★
14
yuliu625/Yu-Data-Science-Toolkit
一个用于科学研究的模块化数据科学工具包,具备高性能流水线、可复现的统计分析以及可用于发表的图表可视化。A modular data science toolkit for scientific research, featuring high-performance pipelines, reproducible statistical analysis, and publication-ready visualizations.
1 ★
15
Summayaaanwar/Research-Mind-R-Course-2026
The Research Mind R Course 2026 涵盖 R 编程基础、统计分析与可视化。学习搭建 R 环境、编写函数、组织项目、执行检验(T-test、ANOVA)以及绘制图表。适合 data science 和 bioinformatics 方向。通过克隆仓库并浏览各课时即可开始。The Research Mind R Course 2026 covers R programming basics, statistical analysis, and visualization. Learn to set up R, write functions, organize projects, perform tests (T-test, ANOVA), and create plots. Ideal for data science and bioinformatics. Get started by cloning the repository and exploring the sessions.
1 ★
16
shanjiayu1/medstats
用于医学和流行病学研究的统计分析 R 包。An R package for statistical analysis in medical and epidemiological research.
1 ★
17
phxainteasy/Statistics
📊 通过交互式 Jupyter Notebook 探索 A/B testing 与关键统计概念,支持动手实践与实际数据分析。📊 Explore A/B testing and key statistics concepts with an interactive Jupyter Notebook for hands-on learning and practical data analysis.
1 ★
18
Michaellumor/roughvollab
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
1 ★
19
linkingoscar/marketing-open-hub
🔬 Local-first Marketing Research Workbench: 36 Statistical Tests, PROCESS Mediation, Literature Mining & APA 7th Tables | 营销与消费者行为实证工作台
1 ★
20
liangzhengtao/awesome-skills
12 项研究 AI Skills —— LaTeX 论文、统计分析、文献综述、会议投稿12 research AI skills - LaTeX papers, statistical analysis, literature review, conference submission.
1 ★
21
harpriyabehera89-cpu/hal-procurement-analysis
MBA 研究项目,使用 Excel、SPSS 和统计分析方法分析 Hindustan Aeronautics Limited (HAL) 的采购与信用条款。MBA Research Project analyzing procurement and credit terms in Hindustan Aeronautics Limited (HAL) using Excel, SPSS, and statistical analysis.
1 ★
22
GatorAIM/gms6803-clinical-data-science
GMS 6803 临床研究数据科学课程材料,含幻灯片、代码与实操实验,内容涵盖真实世界健康数据、基于 EHR 的队列构建、SQL、Python、统计分析与临床研究中的机器学习Course materials for GMS 6803 Data Science for Clinical Research, including slides, code, and hands-on labs on real-world health data, EHR-based cohort development, SQL, Python, statistical analysis, and machine learning for clinical research.
1 ★
23
delemmaao/BSc_Astrophysics_Projects
本人毕业学年所有天体物理课题汇总。毕业设计聚焦轨道转移优化,采用梯度下降法及 Markov Chain Monte Carlo 方法进行不确定性评估These are all the astrophysics projects in my final year. My final-year project focuses on orbital transfer optimisation using gradient descent and the Markov Chain Monte Carlo method for uncertainty evaluation.
1 ★
24
bshepp/bfl-asic
面向 Butterfly Labs BF0005G Jalapeno SHA-256 ASIC 的工具包——包含协议层、统计分析、NIST SP 800-22 随机性测试与迭代哈希动力学;将退役矿机改造为硬件密码学研究平台,同时也可用作酸面种发酵加热器Toolkit for the Butterfly Labs BF0005G Jalapeno SHA-256 ASIC — protocol layer, statistical analysis, NIST SP 800-22 randomness tests, and iterated-hash dynamics. Repurposes a retired miner as a hardware cryptographic research platform, and sourdough starter warmer.
1 ★
25
asierra/Metagrafica
MetaGráfica 是一种面向出版级二维矢量图形的描述语言——从纯文本编译为 EPS、SVG 或 PDF,适配科学图表与绘图,由单一自包含编译器完成。MetaGráfica is a descriptive language for publication-quality 2D vector graphics — scientific figures and plots compiled from plain text to EPS, SVG or PDF by a single self-contained compiler.
1 ★
26
arvincandelaria-lab/Data-Analysis-Portfolio
本人在统计学本科阶段完成的数据分析、统计分析与研究项目合集。A collection of data analysis, statistical analysis, and research projects completed during my undergraduate studies in Statistics.
1 ★
27
Arizonal8/ZTA-vs-Perimeter-comparison-with-atomic-red-team-attack-on-Azure
硕士论文研究:使用 Terraform IaC、Atomic Red Team MITRE ATT&CK 模拟与 Python 统计分析,在 Microsoft Azure 中实证评估零信任架构(ZTA)与传统边界安全。Sheffield Hallam University 2026。MSc dissertation research: Empirical evaluation of Zero Trust Architecture (ZTA) vs conventional perimeter security in Microsoft Azure using Terraform IaC, Atomic Red Team MITRE ATT&CK simulations, and Python statistical analysis. Sheffield Hallam University 2026.
1 ★
28
zoezizzoz/MIC60-publication-figures
dMIC60 线粒体–核 Crosstalk 论文中图表与 Table S1 的代码及源数据。Code and source data for figures and Table S1 from the dMIC60 mitochondrial–nuclear crosstalk manuscript.
0 ★
29
Yuuqq/research-grade-skills
CI 验证的科学领域 Agent Skill——69 个研究级 Skill,覆盖科学写作、机器学习、数据分析、量子计算与研究数据库。无死链、无虚假 Skill、无厂商广告。兼容 Claude Code / Cursor / Codex。CI-validated Agent Skills for science - 69 research-grade skills for scientific writing, ML, data analysis, quantum computing, and research databases. No dead links, no phantom skills, no vendor ads. Claude Code / Cursor / Codex compatible.
0 ★
30
UCSB-Library-Research-Data-Services/SOAR2
夏季开放与可复现研究(SOAR²)训练营的项目官网。Program Website for the Summer Open And Reproducible Research (SOAR²) Camp
0 ★
31
tobias-weiss-ai-xr/bayesian-statistics-research
贝叶斯统计研究语料库:面向贝叶斯统计(推断、计算、先验、模型选择、层次模型、非参数、深度贝叶斯、应用)的数据驱动、自动化校验文献综述Bayesian Statistics Research Corpus: Data-driven, auto-validated literature review for Bayesian statistics (inference, computation, priors, model selection, hierarchical, nonparametric, deep Bayesian, applications)
0 ★
32
sumitsen616/Sensabled
一个基于 R/Shiny 的应用,用于离散数据的图形绘制与统计分析,面向研究用途;可生成高分辨率图片或 SVG 格式的出版级图表,便于直接用于学术论文与报告。An R/Shiny-based application designed for graph plotting and statistical analysis of discrete data, tailored for research purposes. It generates publication-quality plots in high-resolution image or SVG formats, ready for seamless inclusion in academic papers and presentations.
0 ★
33
SportsLabResearch/HRV-Longitudinal-Analyzer
专业跨平台纵向心率变异性(HRV)分析应用,支持 Kubios 数据导入、自动生成科研报告、高级统计分析、受试者管理,以及面向研究、运动科学和临床监测的交互式仪表板。A professional cross-platform application for longitudinal Heart Rate Variability (HRV) analysis, featuring Kubios data import, automated scientific reporting, advanced statistical analysis, participant management, and interactive dashboards for research, sports science, and clinical monitoring.
0 ★
34
sinceyouasked/us-open-venue-difficulty
基于调整后参赛阵容得分均值对美国公开赛球场难度进行统计分析,并以女子公开赛、业余赛及阵容强度数据进行交叉验证。包含 Welch's t 检验、ANOVA 以及 2021 年自然实验。配套论文的补充代码与数据Statistical analysis of U.S. Open golf venue difficulty using adjusted field scoring averages, cross-validated against Women's Open, Amateur, and field-strength data. Includes Welch's t-tests, ANOVA, and a 2021 natural experiment. Supplementary code and data for accompanying research paper.
0 ★
35
shabnamkbr/python-based-statistic
用于相关研究项目的统计分析脚本。Statistical analysis scripts used in the associated research project
0 ★
36
roxanazidaru-ai/MSc-dissertation-analysis
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.
0 ★