openreview 开源项目推荐（56 个）

ziwenhahaha /daily-paper-reader

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。

monk1337 /resp

从不同来源获取学术研究论文

shaohua0116 /ICLR2019-OpenReviewData

Script that crawls meta data from ICLR OpenReview webpage. Tutorials on installing and using Selenium and ChromeDriver on Ubuntu.

openreview /openreview-py

Official Python client library for the OpenReview API

LinXueyuanStdio /chatgpt-review-rebuttal-extension

ChatGPT -评论和反驳：一个浏览器扩展，用于生成评论和反驳，由ChatGPT提供支持。The results showed that the results of the study showed that the results of the study showed no significant difference between the two groups（P> 0.05）.

zhihengli-casia /AI-Paper-Trends

Open-source AI paper index and fine-grained topic atlas across major conferences and journals.

fedebotu /ICLR2022-OpenReviewData

Crawl & visualize ICLR papers and reviews

EdisonLeeeee /ICLR2023-OpenReviewData

ICLR 2023 Paper submission analysis from https://openreview.net/group?id=ICLR.cc/2023/Conference

fedebotu /ICLR2023-OpenReviewData

Crawl & Visualize ICLR 2023 Data from OpenReview

EdisonLeeeee /ICLR2022-OpenReviewData

ICLR 2022 Paper submission trend analysis from https://openreview.net/group?id=ICLR.cc/2022/Conference

pranftw /openreview_scraper

Scrape papers from OpenReview using OpenReview API

DmytroLopushanskyy /iclr2026-affiliations

PDF-derived institutional affiliations for 5,356 ICLR 2026 accepted papers — full pipeline (scrape → parse → render), clean dataset (CSV + XLSX), and treemap charts.

zlab-princeton /PaperScorer

PaperScorer: How Predictable Is Paper Acceptance? (NeurIPS 2026). Fine-tuned vision and text models that predict a paper's calibrated chance of acceptance from its anonymized PDF.

openlifescience-ai /ai-deadlines

该项目在 GitHub 上没有填写描述

papercopilot /iclr-insights

Insights from the ICLR Peer Review and Rebuttal Process

maxidl /openreviewer

Generate high-quality peer reviews of machine learning and AI conference papers.

fedebotu /NeurIPS2022-OpenReviewData

Crawl & Visualize NeurIPS 2022 Data from OpenReview

makemebitter /ideaforge

AI-powered research idea generation through adversarial debate. Trains a calibrated judge on 50K real reviews, then uses a 3-agent (Critic-Proposer-Judge) loop to generate and stress-test novel research ideas to publication quality.

danmackinlay /openreview_finder

Semantic search for openreviws conferences and journals

Pseudomanifold /iclr-analysis

ICLR 2020 and 2019 reviews