24 open source projects by h2oai

Realtime Web Apps and Dashboards for Python and R

Please visit https://github.com/h2oai/h2o-3 for latest H2O

Recipes for Driverless AI

Web based interactive computing environment for H2O

This is a repo for all the tutorials put out by H2O.ai. This includes learning paths for Driverless AI, H2O-3, Sparkling Water and more...

Tutorials and training material for the H2O Machine Learning Platform

A Python package for manipulating 2-dimensional tabular data structures

RSparkling: Use H2O Sparkling Water from R (Spark + R + Machine Learning)

training material

Sparkling Water provides H2O functionality inside Spark cluster

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.

H2O.ai Machine Learning Interpretability Resources

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

Deep Learning in H2O using Native GPU Backends

H2OAI Driverless AI Code Samples and Tutorials

Python 2.7 & 3.5+ runtime type-checker

Domain name classifier looking for good vs. possibly malicious providers

A collection of data science examples implemented across a variety of languages and libraries.

DEPRECATED Build, manage and deploy H2O's high-speed machine learning models.

No description, website, or topics provided.

No description, website, or topics provided.