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.
Realtime Web Apps and Dashboards for Python and R
A Python package for manipulating 2-dimensional tabular data structures
Tutorials and training material for the H2O Machine Learning Platform
Sparkling Water provides H2O functionality inside Spark cluster
H2Oai GPU Edition
Presentations from H2O meetups & conferences by the H2O.ai team
A curated list of research, applications and projects built using the H2O Machine Learning platform
Create apps 10x quicker, without Javascript/HTML/CSS.
Client Code Examples, Use Cases and Benchmarks for Enterprise h2oGPTe RAG-Based GenAI Platform
RSparkling: Use H2O Sparkling Water from R (Spark + R + Machine Learning)
Python 2.7 & 3.5+ runtime type-checker
Matplotlib plugin for H2O Nitro
Bokeh plugin for H2O Nitro
Altair plugin for H2O Nitro
Dart/Flutter <-> Python transpiler