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4. h2o-3

1. Home
2. Data Science
3. Development and Visualization Tools
4. h2o-3

h2o-3

Open source product supports GBM, Random Forest, Deep Neural Networks, Word2Vec and Stacked Ensembles. Commercial product with support also available from h2o.ai.

Logo
Website	https://h2o.ai
Repository	https://github.com/h2oai/h2o-3
Byline	Open Source Fast Scalable Machine Learning Platform For Smarter Applications: Deep Learning, Gradient Boosting & XGBoost, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
License	Apache 2.0
Project age	8 years 9 months
Backers	H2O (Commercial Product By)
Size score (1 to 10, higher is better)	7.5
Trend score (1 to 10, higher is better)	5.25

Education Resources

URL	Resource Type	Description
https://docs.h2o.ai/h2o/latest-stable/h2o-docs/welcome.html	Documentation	Official project documentation.

Git Commit Statistics

Statistics computed using Git data through November 30, 2022.

Statistic	Lifetime	Last 12 Months
Commits	97,445	12,906
Lines committed	53,003,735	10,075,033
Unique committers	268	30
Core committers	24	7

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