{"payload":{"pageCount":1,"repositories":[{"type":"Public","name":"optuna-dashboard","owner":"optuna","isFork":false,"description":"Real-time Web Dashboard for Optuna.","allTopics":["dashboard","hyperparameter-optimization","optuna"],"primaryLanguage":{"name":"TypeScript","color":"#3178c6"},"pullRequestCount":5,"issueCount":32,"starsCount":466,"forksCount":82,"license":"Other","participation":[6,14,36,21,11,18,25,48,86,25,89,78,80,23,27,44,31,17,14,18,24,27,34,39,48,19,13,28,9,10,26,36,40,39,41,21,3,33,27,12,34,34,33,53,36,6,18,16,0,5,17,5],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-14T03:17:57.846Z"}},{"type":"Public","name":"optunahub-web","owner":"optuna","isFork":false,"description":"Frontend of OptunaHub Registry","allTopics":[],"primaryLanguage":{"name":"CSS","color":"#563d7c"},"pullRequestCount":0,"issueCount":0,"starsCount":5,"forksCount":4,"license":"MIT License","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,31,8,2,4],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-14T02:22:34.553Z"}},{"type":"Public","name":"optuna","owner":"optuna","isFork":false,"description":"A hyperparameter optimization framework","allTopics":["parallel","distributed","hacktoberfest","python","machine-learning","hyperparameter-optimization"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":7,"issueCount":83,"starsCount":9974,"forksCount":970,"license":"Other","participation":[45,25,53,28,46,60,75,7,6,6,5,21,34,13,20,120,45,18,34,48,21,17,16,11,9,9,19,23,1,7,19,34,54,72,97,59,60,60,62,49,36,12,2,37,53,11,36,15,21,16,14,13],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-14T02:07:27.866Z"}},{"type":"Public","name":"optuna-integration","owner":"optuna","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":5,"issueCount":8,"starsCount":23,"forksCount":25,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-13T11:43:58.535Z"}},{"type":"Public","name":"optunahub-registry","owner":"optuna","isFork":false,"description":"A registry of third-party Optuna packages","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":20,"forksCount":8,"license":"MIT License","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,43,77,46,5,7],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-13T10:07:44.459Z"}},{"type":"Public","name":"optunahub","owner":"optuna","isFork":false,"description":"Python library to use packages in OptunaHub Registry","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":24,"forksCount":2,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-12T11:22:42.663Z"}},{"type":"Public","name":"optuna-examples","owner":"optuna","isFork":false,"description":"Examples for https://github.com/optuna/optuna","allTopics":["python","examples","parallel","distributed","hyperparameter-optimization","hacktoberfest","machine-learning"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":2,"issueCount":4,"starsCount":626,"forksCount":172,"license":"MIT License","participation":[0,1,0,0,2,2,0,0,0,0,3,0,2,0,0,10,15,19,6,2,8,4,1,0,1,1,0,0,1,0,0,1,1,1,5,15,8,4,6,5,4,0,2,1,8,3,2,0,0,0,1,3],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-12T09:15:43.753Z"}},{"type":"Public","name":"optuna-visualization-regression-tests","owner":"optuna","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":2,"issueCount":1,"starsCount":9,"forksCount":5,"license":null,"participation":[0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-09T00:10:38.136Z"}},{"type":"Public","name":"kurobako","owner":"optuna","isFork":false,"description":"A black-box optimization benchmark tool","allTopics":["rust","black-box-optimization","black-box-benchmarking"],"primaryLanguage":{"name":"Rust","color":"#dea584"},"pullRequestCount":2,"issueCount":8,"starsCount":80,"forksCount":10,"license":"MIT License","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-06-21T22:41:28.299Z"}},{"type":"Public","name":"doc-optuna-zh-cn","owner":"optuna","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"HTML","color":"#e34c26"},"pullRequestCount":1,"issueCount":4,"starsCount":4,"forksCount":4,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-04-28T01:44:55.962Z"}},{"type":"Public","name":"optuna-fast-fanova","owner":"optuna","isFork":false,"description":"Cython accelerated fANOVA implementation for Optuna.","allTopics":["hyperparameter-optimization","machine-learning"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":2,"starsCount":24,"forksCount":4,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-01-05T06:27:17.811Z"}},{"type":"Public","name":"kurobako-py","owner":"optuna","isFork":false,"description":"A Python library to help implement kurobako's solvers and problems","allTopics":["black-box-optimization","black-box-benchmarking","python-library"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":2,"starsCount":8,"forksCount":7,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-04-13T10:09:04.924Z"}},{"type":"Public archive","name":"optuna-web-dev","owner":"optuna","isFork":false,"description":"Developmental version of optuna.org.","allTopics":[],"primaryLanguage":{"name":"CSS","color":"#563d7c"},"pullRequestCount":2,"issueCount":0,"starsCount":0,"forksCount":1,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2021-05-24T04:50:17.172Z"}},{"type":"Public","name":"bboc-optuna-developers","owner":"optuna","isFork":false,"description":"Black-box optimizer submitted to BBO challenge at NeurIPS 2020","allTopics":["gaussian-processes","bayesian-optimization","blackbox-optimization","neurips-2020"],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":12,"forksCount":1,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2020-12-10T10:10:24.206Z"}}],"repositoryCount":14,"userInfo":null,"searchable":true,"definitions":[],"typeFilters":[{"id":"all","text":"All"},{"id":"public","text":"Public"},{"id":"source","text":"Sources"},{"id":"fork","text":"Forks"},{"id":"archived","text":"Archived"},{"id":"template","text":"Templates"}],"compactMode":false},"title":"Repositories"}