60 个 · 框架 · 学术写作
一个由 AI 驱动的科研情报平台，利用 LLM 和现代 NLP 技术，实现语义搜索、基于 RAG 的问答、文献综述生成、研究空白检测、知识图谱构建、引文管理以及科研写作辅助。An AI-powered Research Intelligence Platform that enables semantic search, RAG-based question answering, literature review generation, research gap detection, knowledge graph construction, citation management, and scientific writing assistance using LLMs and modern NLP techniques.
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.
关于备灾基础设施、离线连接、开源硬件与分布式制造的持续陪伴式资料：框架、案例研究、扩展文献综述与建议。Living companion on preparedness infrastructure, offline connectivity, open hardware, and distributed manufacturing: framework, case studies, extended literature review, and recommendations.
ResearchOS 是一款 MVP 级自主研究平台：输入研究问题，AI Agent 自动发现来源、验证证据、提取关键信息、交叉核对结论，并产出结构化的最终报告 — 全程实时可视化ResearchOS is an MVP autonomous research platform. Enter a research question; AI agents discover sources, verify evidence, extract key information, cross-check findings, and produce a structured final report — all visualized in real-time.
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.
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.
模块化的学术写作 skills 套件，面向 AI 辅助研究，覆盖摘要、引言、相关工作、方法、实验与结论，具备证据感知推理、引用核查、术语一致性以及 clean/audit 模式。A modular suite of academic writing skills for AI-assisted research, covering Abstract, Introduction, Related Work, Method, Experiments, and Conclusion with evidence-aware reasoning, citation checks, terminology consistency, and clean/audit modes.
PRISMA 指导的混合方法系统综述，跨 4 项实证研究评估 AI 陪伴的社会心理、关系及长期心理健康影响。包含定量与定性 meta 综合、跨方法三角验证与理论框架映射。A PRISMA guided mixed methods systematic review evaluating the psychosocial, relational and long term mental health impacts of AI companions across 4 empirical studies. Features quantitative and qualitative meta synthesis, cross methodological triangulation and theoretical framework mapping
CryptoMindAI 是一个面向加密货币市场量化分析的开源研究框架，结合系统化策略、统计分析、回测、样本外验证与 AI 辅助研究；项目聚焦可复现实验与方法学稳健性，而非单纯生成交易信号CryptoMindAI is an open-source research framework for quantitative analysis of cryptocurrency markets, combining systematic strategies, statistical analysis, backtesting, out-of-sample validation and AI-assisted research. The project focuses on reproducible experimentation and methodological robustness rather than simply generating trading signals.
基于反事实决策影响与验证效用的效用引导型政策验证可复现研究框架A reproducible research framework for utility guided policy verification using counterfactual decision impact and verification utility.
一个可复现的研究原型，针对漂移感知欺诈检测，采用 actor-critic 强化学习、动态特征重加权与自适应回放，应对交易分布的持续演化A reproducible research prototype for drift-aware fraud detection using actor-critic reinforcement learning, dynamic feature reweighting, and adaptive replay under evolving transaction distributions.
证据合成自动化框架——PRISMA 流水线：检索、去重、AI 筛选、Meta 分析（D-L 随机效应）、PRISMA 流程图与森林图。Evidence Synthesis Automation Framework — PRISMA pipeline: search, dedup, AI screening, meta-analysis (D-L random effects), PRISMA/forest plots.
一个独立开发的板块轮动预测项目，2026 年重构为含回顾性方法学审计的可复现研究工具包An independently developed sector-rotation forecasting project, rebuilt in 2026 as a reproducible research toolkit with a retrospective methodological audit.
EconOps：面向经济学实证研究的透明、可复现研究工作流EconOps is a reproducible research workflow for transparent empirical work in economics.
一个端到端的研究智能系统：摄取学术论文并进行语义理解，映射研究领域的关系与演进，探测尚未探索的研究空白，并使用多 Agent AI 流水线生成文献综述与回答研究问题——全部以纯 Python 构建。An end-to-end research intelligence system that ingests academic papers, understands them semantically, maps how research areas relate and evolve, detects unexplored research gaps, and uses a multi-agent AI pipeline to generate literature reviews and answer research questions — all built in pure Python.
模板化的元研究范例：自文档化的可复现研究仓库。Template meta-research exemplar: self-documenting reproducible research repo
The Triplicate：数据驱动的大幅面报纸排版引擎 —— 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.20533675 双重发布）。The Triplicate: a data-driven large-format newspaper layout engine — public exemplar of the docxology/template reproducible-research paradigm (≥90% test coverage, no mocks, double-published GitHub + Zenodo 10.5281/zenodo.20533675).
面向 Text-to-Motion、Physics RL 与 Pose Estimation 文献综述的自动化多 Agent 研究框架，抓取 ArXiv 论文并去重，通过 LLM 子 Agent 抽取结构化指标，自动下载 PDF 以供 RAG/NotebookLM 摄取。Automated multi-agent research framework for academic literature reviews on Text-to-Motion, Physics RL, and Pose Estimation. Fetches ArXiv papers, deduplicates, extracts structured metrics via LLM sub-agents, and auto-downloads PDFs for RAG/NotebookLM ingestion.
支持 PRISMA、Kitchenham 指南等标准系统综述框架的循证综合方法Evidence synthesis that will support standard systematic review frameworks like PRISMA, Kitchenham guidelines, etc.
SwipeTA 背后关于图表识别、市场模式与噪声反馈的可复现研究Reproducible research on chart-reading, market patterns, and noisy feedback behind SwipeTA.
从研究问题到论文——全自动化。基于多框架的机器学习研究流水线（CrewAI · AutoGen · LangGraph），支持流式 UI 与人在环控制。From a research question to a paper — automatically. Multi-framework ML research pipeline (CrewAI · AutoGen · LangGraph) with streaming UI and human-in-the-loop control.
Colophon——经过生产验证的 Quarto + LaTeX 脚手架，用于课程书籍、手册与技术参考书。开箱即用支持横向页面、附录、带题注的表格以及正确的引用样式。Colophon — a production-tested Quarto + LaTeX scaffold for course books, manuals, and technical handbooks. Landscape pages, appendices, captioned tables, and citation styling handled correctly out of the box.
多 Agent 研究编排框架，覆盖文献检索、论文分析、证据抽取、跨论文对比、知识综合与经过验证的研究空白发现。A multi-agent research orchestration framework for literature retrieval, paper analysis, evidence extraction, cross-paper comparison, knowledge synthesis, and validated research gap discovery.
系统综述与验证的质量模板——扩展 Consultant 角色原型。Quality template for systematic review and validation - Extends Consultant archetype