iclr2024-explorer
所属分类：论文
开发工具：Vue
文件大小：0KB
下载次数：0
上传日期：2023-11-18 20:33:29
上 传 者：
sh-1993
说明： iclr2024浏览器
(iclr2024 explorer)
文件列表:
data.json (5039707, 2023-11-18)
iclr24/ (0, 2023-11-18)
iclr24/.eslintrc.cjs (296, 2023-11-18)
iclr24/.prettierrc.json (163, 2023-11-18)
iclr24/.vscode/ (0, 2023-11-18)
iclr24/.vscode/extensions.json (147, 2023-11-18)
iclr24/index.html (341, 2023-11-18)
iclr24/package-lock.json (225556, 2023-11-18)
iclr24/package.json (776, 2023-11-18)
iclr24/public/ (0, 2023-11-18)
iclr24/public/favicon.ico (4286, 2023-11-18)
iclr24/src/ (0, 2023-11-18)
iclr24/src/App.vue (2649, 2023-11-18)
iclr24/src/assets/ (0, 2023-11-18)
iclr24/src/assets/base.css (2067, 2023-11-18)
iclr24/src/assets/data.json (5039707, 2023-11-18)
iclr24/src/assets/logo.svg (276, 2023-11-18)
iclr24/src/assets/main.css (0, 2023-11-18)
iclr24/src/components/ (0, 2023-11-18)
iclr24/src/components/HelloWorld.vue (700, 2023-11-18)
iclr24/src/components/TheWelcome.vue (3282, 2023-11-18)
iclr24/src/components/WelcomeItem.vue (1413, 2023-11-18)
iclr24/src/components/icons/ (0, 2023-11-18)
iclr24/src/components/icons/IconCommunity.vue (1054, 2023-11-18)
iclr24/src/components/icons/IconDocumentation.vue (1254, 2023-11-18)
iclr24/src/components/icons/IconEcosystem.vue (1977, 2023-11-18)
iclr24/src/components/icons/IconSupport.vue (288, 2023-11-18)
iclr24/src/components/icons/IconTooling.vue (913, 2023-11-18)
iclr24/src/main.js (574, 2023-11-18)
iclr24/src/plugins/ (0, 2023-11-18)
iclr24/src/plugins/vuetify.js (260, 2023-11-18)
iclr24/src/router/ (0, 2023-11-18)
iclr24/src/router/index.js (587, 2023-11-18)
iclr24/src/stores/ (0, 2023-11-18)
iclr24/src/stores/counter.js (306, 2023-11-18)
iclr24/src/views/ (0, 2023-11-18)
... ...
# ICLR 2024 Explorer
I wanted to filter the ICLR 2024 papers based on the reviews and the metrics
received, so I made this simple app to do just that.
A simple vuejs hosted on netfliy:
[aquamarine-cocada-c77c38.netlify.app](https://github.com/sirvan3tr/iclr2024-explorer/blob/master/aquamarine-cocada-c77c38.netlify.app)
The data is fetched via the openreview's python API, then it is parsed to be
concise and smaller in size (this is also done via a python script).
The whole thing fetch, parse and interface, and hosting took a few hours, so
please don't expect any testing or such things.
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