Open Source Fast Scalable Machine Learning API For Smarter Applications (Deep Learning, Gradient Boosting, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA...)
RSparkling: Use H2O Sparkling Water Machine Learning from R
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow
Web based interactive computing environment for H2O
Build, manage and deploy H2O's high-speed machine learning models.
Deep Learning in H2O using Native GPU Backends
Testing ground to ensure mojos backward compatibility
Presentations from H2O meetups & conferences by the H2O.ai team
Sparkling Water provides H2O functionality inside Spark cluster
The missing bridge between Java and native C++ libraries
Tutorials and training material
h2o = fast statistical, machine learning & math runtime for bigdata
Training materials for H2O World. See
Library of different Jenkins pipeline building blocks.
Ask Craig application
Temporary repository for fast git cloning during the h2o dallas event.
The missing bridge between Java and native C++
Matrix Shadow:Lightweight CPU/GPU Matrix and Tensor Template Library in C++/CUDA for (Deep) Machine Learning
A common bricks library for building scalable and portable distributed machine learning.
Log Analysis Use Case for PyData2016
Templates for projects based on top of H2O.
A lightweight parameter server interface
Computation using data flow graphs for scalable machine learning
Mirror of Apache Metron (Incubating)