{"payload":{"pageCount":1,"repositories":[{"type":"Public","name":"catboost","owner":"catboost","isFork":false,"description":"A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.","allTopics":["python","data-science","machine-learning","data-mining","tutorial","r","big-data","gpu","cuda","kaggle","gbdt","gbm","gpu-computing","decision-trees","gradient-boosting","coreml","catboost","categorical-features"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":19,"issueCount":504,"starsCount":7812,"forksCount":1160,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-30T22:17:22.424Z"}}],"repositoryCount":1,"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"}