{"id":17949627,"url":"https://github.com/wgierke/csbestpaperawards","last_synced_at":"2025-04-03T15:42:48.987Z","repository":{"id":90287770,"uuid":"232427370","full_name":"WGierke/CSBestPaperAwards","owner":"WGierke","description":"Clone of jeffhuang.com/best_paper_awards.html for easier maintenance","archived":false,"fork":false,"pushed_at":"2020-02-09T22:59:22.000Z","size":469,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":3,"default_branch":"master","last_synced_at":"2025-02-09T04:26:48.946Z","etag":null,"topics":["ai","computer-science","cv","data-mining","databases","hci","knowledge-management","machine-learning","networking","nlp","operating-systems","papers","performance","research","security","software-engineering","theory","www"],"latest_commit_sha":null,"homepage":"https://wgierke.github.io/CSBestPaperAwards/","language":"HTML","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/WGierke.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2020-01-07T22:13:59.000Z","updated_at":"2023-10-30T14:25:43.000Z","dependencies_parsed_at":null,"dependency_job_id":"7b92dc59-2fd1-4229-b092-c21bc78be516","html_url":"https://github.com/WGierke/CSBestPaperAwards","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/WGierke%2FCSBestPaperAwards","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/WGierke%2FCSBestPaperAwards/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/WGierke%2FCSBestPaperAwards/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/WGierke%2FCSBestPaperAwards/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/WGierke","download_url":"https://codeload.github.com/WGierke/CSBestPaperAwards/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247030861,"owners_count":20872194,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["ai","computer-science","cv","data-mining","databases","hci","knowledge-management","machine-learning","networking","nlp","operating-systems","papers","performance","research","security","software-engineering","theory","www"],"created_at":"2024-10-29T09:27:34.940Z","updated_at":"2025-04-03T15:42:48.967Z","avatar_url":"https://github.com/WGierke.png","language":"HTML","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Best Paper Awards in Computer Science (since 1996)\nI rebuilt [Jeff Huang's website](https://jeffhuang.com/best_paper_awards.html) such that it'll be easier for contributors to add new papers or top conferences.\nIdeally this will help to maintain the website and keep it up-to-date.\n\n## Installation\n```python\npip3 install yattag\n```\n\n## Usage\n```bash\ncat rawBpa | python3 generate_html.py \u003e index.html\n```\n\n## Demo\nhttps://wgierke.github.io/CSBestPaperAwards/\n\n## Format\n`rawBpa` contains the data about the best papers in the format\n```\nconference_lower_abbreviation, conference_name (conference_topic)\n paper_year, paper_url, paper_title\n  author_name, author_institution\n ```\nsuch as\n```\nicml, ICML (Machine Learning)\n 2019, https://arxiv.org/abs/1811.12359, Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations\n  Francesco Locatello ETH Zurich, Max-Planck Institute for Intelligent Systems\n ```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fwgierke%2Fcsbestpaperawards","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fwgierke%2Fcsbestpaperawards","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fwgierke%2Fcsbestpaperawards/lists"}