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, Stacked Ensembles...)
Deep Learning in H2O using Native GPU Backends
RSparkling: Use H2O Sparkling Water Machine Learning from R
Web based interactive computing environment for H2O
Presentations from H2O meetups & conferences by the H2O.ai team
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
Sparkling Water provides H2O functionality inside Spark cluster
Build, manage and deploy H2O's high-speed machine learning models.
an ES2015 port of h2o-flow
A curated list of research, applications and projects built using H2O Machine Learning
Testing ground to ensure mojos backward compatibility
CPP wrapper for MXNet interface
Tutorials and training material for the H2O Machine Learning Platform
A lightweight parameter server interface
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.
Intermediate Computational Graph Representation for Deep Learning Systems
The missing bridge between Java and native C++ libraries
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++
Log Analysis Use Case for PyData2016