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

../_images/h2oai_h2o-3-small.png

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

7 years 4 months

Backers

H2O (Commercial Product By)

Size score (1 to 10, higher is better)

6.75

Trend score (1 to 10, higher is better)

6.25

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 June 30, 2021.

Statistic

Lifetime

Last 12 Months

Commits

72,394

35,396

Lines committed

42,489,045

18,249,985

Unique committers

243

33

Core committers

20

10

../_images/h2oai_h2o-3-monthly-commits.png

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