A curated list of research, applications and projects built using H2O Machine Learning
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README.md

Awesome H2O Awesome Powered by H2O.ai

Below is a curated list of all the awesome projects, applications, research, tutorials, courses and books that use H2O, an open source, distributed machine learning platform. H2O offers parallelized implementations of many supervised and unsupervised machine learning algorithms such as Generalized Linear Models, Gradient Boosting Machines (including XGBoost), Random Forests, Deep Neural Networks (Deep Learning), Stacked Ensembles, Naive Bayes, Cox Proportional Hazards, K-means, PCA, Word2Vec, as well as a fully automatic machine learning algorithm (AutoML).

H2O.ai produces many tutorials, blog posts, presentations and videos about H2O, but the list below is comprised of awesome content produced by the greater H2O user community.

We are just getting started with this list, so pull requests are very much appreciated! 🙏 Please review the contribution guidelines before making a pull request. If you're not a GitHub user and want to make a contribution, please send an email to community@h2o.ai.

If you think H2O is awesome too, please ⭐ the H2O GitHub repository.

Contents

Blog Posts & Tutorials

Books

Research Papers

Benchmarks

Presentations

Courses

Utilities

License

CC0

To the extent possible under law, H2O.ai has waived all copyright and related or neighboring rights to this work.