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h2o-3

h2o-3

by h2oai · GitHub

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

# automl# big-data# data-science# deep-learning
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⭐ Stars
7.5k
🍴 Forks
2k
📜 License
Apache-2.0
Commercial use OK
📅 Created
2014
🔄 Last commit
6 days ago
🏷️ Category
automl
💻 Language
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📈 Star history
8k7k
2026-07-042026-07-22
📄 About

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

Frequently asked questions

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.

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