Ecosyste.ms: Packages
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Top 7.0% dependent packages on anaconda.org
Top 2.8% forks on anaconda.org
anaconda.org : libxgboost
XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, flexible and portable. It implements machine learning algorithms under the Gradient Boosting framework. XGBoost provides a parallel tree boosting (also known as GBDT, GBM) that solve many data science problems in a fast and accurate way. The same code runs on major distributed environment (Hadoop, SGE, MPI) and can solve problems beyond billions of examples.
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purl: pkg:conda/libxgboost
Keywords: distributed-systems, gbdt, gbm, gbrt, machine-learning, xgboost
License: Apache-2.0
Latest release: about 1 month ago
First release: about 6 years ago
Dependent packages: 4
Dependent repositories: 37
Stars: 23,883 on GitHub
Forks: 8,557 on GitHub
See more repository details: repos.ecosyste.ms
Funding links: https://opencollective.com/xgboost, https://xgboost.ai/sponsors
Last synced: 5 days ago
py-xgboost 2.0.3 💰
XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, fl...11 versions - Latest release: about 1 month ago - 2 dependent packages - 122 dependent repositories - 23,883 stars on GitHub
r-xgboost 1.7.3 💰
XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, fl...4 versions - Latest release: over 1 year ago - 4 dependent packages - 3 dependent repositories - 23,883 stars on GitHub
r-xgboost 1.7.1 💰
XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, fl...18 versions - Latest release: over 1 year ago - 7 dependent packages - 3 dependent repositories - 23,883 stars on GitHub
py-xgboost 1.7.1 💰
XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, fl...18 versions - Latest release: over 1 year ago - 13 dependent packages - 122 dependent repositories - 23,883 stars on GitHub