开源的每日 arXiv / OpenReview 论文推荐与 AI 阅读平台,支持 GitHub Actions 自动更新、GitHub Pages 部署与论文问答。
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Updated
Apr 8, 2026 - Python
开源的每日 arXiv / OpenReview 论文推荐与 AI 阅读平台,支持 GitHub Actions 自动更新、GitHub Pages 部署与论文问答。
💡 Resources about Sign Language Processing (e.g., Sign Language Recognition / Translation / Production)
Oh-My-Papers: a Hybrid Context-aware Paper Recommendation System
An AI research assistant that helps you rank, compare, and follow up on papers — so you can decide what to read next
Free, Fully Automated arXiv Recommender 🤖
Personalized arXiv paper recommendation and management system
How do you train retrievers to find inspirations? [ACL 2025]
Code for training and testing a deep learning model for context-aware citation recommendation using the Microsoft Academic Graph
An open-source tool that uses LLMs to score new papers against your research context and emails you a daily digest.
An intelligent research paper recommendation system built with Django REST Framework and React, using NLP and similarity analysis to suggest the most relevant papers to users.
AI-powered research recommendation system that analyzes Google Scholar profiles, discovers trends, recommends papers and conferences using LangGraph and Google Gemini
Navigation Tools:🆕New Chat - Fresh conversation🔍Academic Search - Search 170M+ papers, 160M+ patents, 20M+ scholars 🌐 Explore - Trending topics, breakthroughs, Nobel laureates 🔔Subscription - Follow journals and topics 📚Library - Saved papers, collections, reading lists, notes👨🎓Scholars - Scholar network with 20M+ researchers and much more
Personal arXiv research assistant: semantic search, ML-based recommendations, LLM summaries, and an MCP server so Claude (or any agent) can query your reading history. FastAPI + ChromaDB + TensorFlow.
每天自动抓取 Arxiv 新论文,按你的研究方向打分筛选,AI 提炼核心贡献——从几百篇里找出你真正需要读的那几篇。
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