h2o-3
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Suppor
Run various machine learning algorithms on large datasets using a user-friendly interface.
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Free · no card · unsubscribe anytimeH2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Suppor
h2o-3 has 7.5k stars on GitHub. It has been forked 2k times. h2o-3 is written mainly in Jupyter Notebook. It has been in active development since 2014. h2o-3 is available under the Apache-2.0 license. Its main topics are automl, big-data, data-science, deep-learning.
What is h2o-3?
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Suppor
Is h2o-3 open source?
h2o-3 is an open-source project. It is released under the Apache-2.0 license.
Is h2o-3 free?
Yes. h2o-3 is free and open source — you can use, modify and self-host it.
What license does h2o-3 use?
h2o-3 is available under the Apache-2.0 license.
What language is h2o-3 written in?
h2o-3 is written mainly in Jupyter Notebook.
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