# h2oai/h2o-3

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7,493 stars · 2,030 forks · Jupyter Notebook · Apache-2.0

## Links

- GitHub: https://github.com/h2oai/h2o-3
- Homepage: http://h2o.ai
- awesome-repositories: https://awesome-repositories.com/repository/h2oai-h2o-3.md

## Topics

`automl` `big-data` `data-science` `deep-learning` `distributed` `ensemble-learning` `gbm` `gpu` `h2o` `h2o-automl` `hadoop` `java` `machine-learning` `naive-bayes` `opensource` `pca` `python` `r` `random-forest` `spark`

## Description

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, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

## Tags

### Part of an Awesome List

- [Machine Learning](https://awesome-repositories.com/f/awesome-lists/ai/machine-learning.md) — Distributed machine learning platform.
- [Machine Learning Frameworks](https://awesome-repositories.com/f/awesome-lists/ai/machine-learning-frameworks.md) — Distributed ML engine supporting multiple languages and big data platforms.
- [Training and Orchestration](https://awesome-repositories.com/f/awesome-lists/devops/training-and-orchestration.md) — Scalable platform for traditional and deep learning algorithms.