"通过可复用代码实现可复现研究" 研讨会课程材料Lesson material for Reproducible research through reusable code workshop
仓库/Skill 库
152 个 · 教程
🚀 通过 70 个生成式 AI 实战项目转型技能,从入门到生产级架构师,涵盖真实场景应用。🚀 Transform your skills with 70 hands-on projects in Generative AI, guiding you from beginner to production-ready architect with real-world applications.
builderr.ai 交易 Agent 模板——fork 后实现 decide(),即可提交。Trading agent template for builderr.ai — fork this, implement decide(), submit.
通过真实工作流学习实践可复现研究的 R 开放教材An open educational textbook for learning reproducible research in R through practical, real-world workflows.
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.
俄勒冈州立大学研究生课程 Scientific Writing 的教学材料。Teaching materials for Scientific Writing, a graduate course at Oregon State University
AI 工程路线图 2026 🚀 | 从零构建并部署 AI 应用。AI Engineering Roadmap 2026 🚀 | Build & Deploy AI Apps from Scratch
一个可运行的 TypeScript 教程,从零搭建一个极简 DeepSeek 风格 Agent 框架。A runnable TypeScript tutorial that builds a minimal DeepSeek-style agent harness from scratch.
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.
使用 HTML 和 CSS 构建简洁、风格化的网站,配备响应式布局、导航与现代设计,提升用户参与度🌐 Build a simple, stylish website using HTML and CSS, featuring a responsive layout, navigation, and a modern design for easy user engagement.
📊 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.
GenAI 职业路线图 2026 🚀 | AI 岗位路径与技能指南GenAI Career Roadmap 2026 🚀 | AI Job Paths & Skills Guide
AutoScientists:确定性的多 agent 科学发现协调框架 —— docxology/template 可复现研究范式的公开范例(测试覆盖率 ≥90%,无 mock,GitHub 与 Zenodo 10.5281/zenodo.20533669 双重发布)。AutoScientists: a deterministic multi-agent scientific-discovery coordination harness — public exemplar of the docxology/template reproducible-research paradigm (≥90% test coverage, no mocks, double-published GitHub + Zenodo 10.5281/zenodo.20533669).
面向飞书/Lark 的开源 AI 辅助入职方案:可配置工作流、文档 OCR 与审阅、Bitable 同步、提醒功能,以及零凭证 Demo。Open-source AI-assisted HR onboarding for Feishu/Lark: configurable workflows, document OCR and review, Bitable sync, reminders, and a zero-credential demo.
配套仓库:指数族模型主动感知文献综述Companion repository to a literature review on active sensing with exponential family models
本仓库用于存放系统综述 "Colour, Congruence, and Customisation: A Systematic Review of Purchase Intention in Online Fashion Retail" 的全部补充材料This repository is responsible for holding all the additional materials related to the systematic literature review titled: "Colour, Congruence, and Customisation: A Systematic Review of Purchase Intention in Online Fashion Retail"
通过实战教程构建有效的 AI 评测,使用真实 agent 提升生产系统技能🎯 Build effective AI evaluations through a hands-on tutorial, using a realistic agent to enhance your production system skills.
《从原始数据到完稿论文:构建可复现研究流水线》演讲幻灯片,用于 WHU - Otto Beisheim School of Management 博士迎新周。Slides for 'From Raw Data to Finished Paper: Building a Reproducible Research Pipeline', a Doctoral Orientation Week session at WHU - Otto Beisheim School of Management.
通过系统综述和患者病例场景分析识别潜在药物不良反应(ADR),包括对症状、用药史、剂量及时间线的评估,以确定可疑药物并判断所报告反应是否可能与药物相关。项目展示了基础的 Pharmacovigilance 能力identifying potential Adverse Drug Reactions through systematic review and analysis of patient case scenarios. It includes evaluation of symptoms, medication history, dosage, and timelines to determine the suspected drug and assess whether the reported reaction is potentially drug-related. The project demonstrates basic Pharmacovigilance
算数量子力学的可复现研究实验记录。Reproducible research lab book for arithmetic quantum mechanics
本仓库最初是我毕设项目的 PyTorch Lightning 模板,后来演进为包含完整项目实现本身。研究问题是地理定位如何影响遥感视觉-语言模型的训练与推理。注:仓库名称与描述可能变化。This repo originally was a PyTorch Lightning template for my thesis project. It has since evolved to contain the full project implementation itself. The research question is how geolocation influences the training and inference of vision-language models for remote sensing. Note: The repository name and description may change
简介:使用机器学习与数据挖掘技术预测学业表现。技术栈:Python、机器学习、数据科学 AI 研究实验室。教育数据挖掘文献综述、数据集采集与预处理、分类算法实现、模型性能对比、学业成功影响因素分析Description: Predict academic performance using machine learning and data mining techniques Technology: Python, Machine Learning, Data Science AI Research Lab Literature review on educational data mining Dataset collection and preprocessing Implement classification algorithms Compare model performance Analyze factors affecting student success
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.
华威大学(University of Warwick)本科毕业论文:对 Compulsive Sexual Behaviour Disorder (CSBD) 心理治疗与药物干预的系统综述与 Meta 分析。My final year undergraduate research project at the University of Warwick demonstrating a systematic review and meta-analysis evaluating psychotherapeutic and pharmacological interventions for Compulsive Sexual Behaviour Disorder (CSBD)
提供清晰的分步指南,介绍如何在 Arch Linux 上结合 rEFInd 与 Nvidia 硬件启用带模块签名强制的 Secure Boot。Provide a clear, step-by-step guide to enable Secure Boot with module signature enforcement on Arch Linux using rEFInd and Nvidia hardware.
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.
Jupyter notebook 示例Example Jupyter notebook
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)