仓库/Skill 库

开源、可自托管、召回优先的文献综述工具：自然语言问题 → 排序论文（摘要、OA 链接、引文）+ 带引文的综述草稿。可使用自有模型与密钥运行Open, self-hostable, recall-first literature-review tool: a natural-language question -> ranked papers (abstracts, OA links, citations) + a cited draft review. Runs on your own model and keys.

基于 2026 年起市场研究行业岗位相关文献综述生成的 Wiki。Wiki generated from literature review about market research industry jobs starting 2026.

针对气候灾害与心理健康系统综述的文献检索（PubMed、Scopus）Bibliographic retrievals (PubMed, Scopus) for a systematic review of climate hazards and mental health

文献综述声明图谱。Literature review claims graph

本仓库为我们论文 SPR-SMN：Scientific paper recommendation employing SPECTER with memory network 的代码This repository is for the code of our paper SPR-SMN: Scientific paper recommendation employing SPECTER with memory network

仅英文、本地 CSV 运行的系统综述文献下载助手。English-only, local CSV literature download assistant for systematic review projects

数据在被构建成有意义的东西之前只是噪声——将原始数据转化为真正可用的系统，涵盖欺诈检测、RAG pipeline、计算机视觉追踪器以及数据仓库等领域。FAST NUCES 数据科学本科生，在"搞坏东西"和"交付产品"之间反复横跳。持续构建，持续学习，欢迎合作和实习交流Data is noise until someone builds something meaningful out of it, turn raw data into systems that actually work, from fraud detection and rag pipelines to computer vision trackers and data warehouses. DS undergrad at FAST NUCES, somewhere between breaking things and shipping them. always building, always learning, open to collabs and interns

基于 Java 的数据结构与算法项目，结合 Rabin–Karp 进行精确关键词匹配、编辑距离进行近似相似度计算、二分图匹配实现主题到论文的推荐。A Java-based DSA project that recommends relevant research papers using Rabin–Karp for exact keyword matching, Edit Distance for approximate similarity, and Bipartite Graph Matching for topic-to-paper recommendations.

这是一个个人日志/日记/知识库，集成本地部署的聊天机器人，统一追踪我想要追踪的任何内容。This is a personal journal / diary / knowledge base integrating a locally served chatbot to cohesively track whatever I want it to track.

基于 FastAPI、LangChain、ChromaDB 和 Google Gemini API 构建的快速、轻量级 RAG 聊天机器人。A fast, lightweight Retrieval-Augmented Generation (RAG) chatbot built with FastAPI, LangChain, ChromaDB, and the Google Gemini API.

AI 会议智能工作区，支持视频转录、结构化洞察以及基于转录的 RAG 对话。AI meeting intelligence workspace for video transcription, structured insights, and transcript-grounded RAG conversations.

基于 GenAI 的科研论文分析平台，支持多 PDF 问答、论文对比、文献综述与研究情报。GenAI-powered platform for research paper analysis, multi-PDF QA, paper comparison, literature review and research intelligence.

学术知识图谱系统——符号驱动的研究发现，配合轻量级向量检索。Academic knowledge graph system — symbol-driven research discovery with lightweight vector retrieval

SYNC Transformer 的可复现研究实现：通过情景检索、融合与弃判的条件残差传输，用于时间序列预测Reproducible research implementation of SYNC Transformer: conditional residual transport with episodic retrieval, fusion, and abstention for time-series forecasting.

可移植契约与 local-first 运行时，覆盖规范数据、检索、持久执行及面向 agent 的 AI。Portable contracts and local-first runtimes for canonical data, retrieval, durable execution, and agent-facing AI.

校园社区：地理位置范围内容 · RAG 混合检索 · 问题追踪 · AI 助手（千问 v3-flash）

以挑战为中心的多跳 RAG 研究枢纽：五类挑战分类法、208 篇文献综述快照，以及七篇综述参考库。Research hub for challenge-centered multi-hop RAG: five-challenge taxonomy, 208-work review snapshot, and seven-survey reference library.

Chrome 扩展，将 RAG 驱动的 AI 辅导带入任何学习管理系统（LMS），从高中到大学。BYOK Gemini API + Backboard.io 后端。为 CUTC Transform Hackathon 2026 构建。Chrome extension that brings RAG-powered AI tutoring to any Learning Management System (LMS); from high school to university. BYOK Gemini API + Backboard.io backend. Built for CUTC Transform Hackathon 2026.

基于 LGPD、CDC 与 CLT 的 RAG：使用标准答案衡量检索效果，对比 BM25、embeddings 与混合方案，并通过一次使最常见 guard-rail 失败的弃答测试RAG sobre LGPD, CDC e CLT — recuperação medida com gabarito, comparação de BM25, embeddings e híbrido, e um teste de abstenção que reprovou o guard-rail mais comum

从一段简介或一句话问题出发，查找对某一研究问题、主题或项目影响力最高的 5–10 篇近期论文Find the 5-10 recent papers with the highest impact on a research question, topic or project, starting from a brief or a one-line question.

针对个性化新抗原癌症疫苗与肿瘤特异性 T 细胞应答的独立结构化文献综述Independent structured literature review of personalized neoantigen cancer vaccines and tumor-specific T-cell responses.

一款面向学生的友好界面应用，用于介绍 Diana Ridley（2012）的文献综述方法（SQ3R），并融入适用于社会科学学生的 SPIDER 方法，辅助学生主动完成文献标注与综述写作This app is a student friendly interface to introduce Diana Ridley's (2012) method of literature review (SQ3R) and incorporating 'SPIDER' method for students of Social Science. This is an assistive application for students to actively annotate and write review of literature.

AI 驱动的学术研究助手，使用 RAG 与 LLM 进行论文分析、生成文献综述、识别研究空白、产出深度解读，并生成带来源引用的演示文稿。AI-powered academic research assistant that uses RAG and LLMs to analyze research papers, generate literature reviews, identify research gaps, create deep explanations, and generate presentations with source citations.

無料のローカルAIインストーラ。ダブルクリック一発・初期設定なしで、チャット・RAG（文書質問）・Web検索が使えるWindows向けローカルAI環境（Ollama + Open WebUI + qwen3.5）

AI-Native 钢琴学习 RAG 助手——在线且免费（GitHub Pages -> Google Cloud Run -> Neon pgvector -> Groq）：具备引用、护栏与内置可观测性（延迟/token/成本）的摄取与查询流水线（rewrite -> 混合检索/RRF -> rerank -> LLM），数据持久化至可检索数据库。Node.js 实现，不依赖付费 API。AI-Native Piano Learning RAG Assistant - live & free (GitHub Pages -> Google Cloud Run -> Neon pgvector -> Groq): ingestion + query pipeline (rewrite -> hybrid search/RRF -> rerank -> LLM) with citations, guardrails, and built-in observability (latency/tokens/cost) persisted to a searchable DB. Node.js, no paid APIs.

每周阅读的研究论文推荐Research Paper Recommendations for Weekly Reading

AI 驱动的生物医学文献综述平台：从 PubMed 检索论文，使用 FAISS 进行语义搜索，并基于 Gemini LLM 生成循证文献综述🧬 AI-powered biomedical literature review platform that retrieves PubMed papers, performs semantic search using FAISS, and generates evidence-based literature reviews using Gemini LLM.

AI 驱动的 DevSecOps 可观测平台，基于 Gemini 2.5、LangChain 与 RAG 驱动的 runbook 监控基础设施、检测威胁并自动响应。AI-powered DevSecOps observability platform; monitors infrastructure, detects threats, and responds using Gemini 2.5, LangChain, and RAG-powered runbooks.

端到端 Python RAG 框架，包含文档摄取、语义搜索、对话式 AI、多用户检索、可观测性、结构化输出与评估。An end-to-end Python RAG framework featuring document ingestion, semantic search, conversational AI, multi-user retrieval, observability, structured outputs, and evaluation.

AI 研究工作台：提供 arXiv 论文推荐、论文/摘录文件夹，以及可将想法收藏的书签式对话窗口AI research workspace — arXiv paper recommendations, folders of papers/excerpts, and chat windows you bookmark ideas into.

使用 OpenAI Python SDK 嵌入开发者工具文档并对查询匹配进行排序。Embed developer-tool documents and rank query matches with the OpenAI Python SDK.