h2o topic
lares
Analytics & Machine Learning R Sidekick
GWU_data_mining
Materials for GWU DNSC 6279 and DNSC 6290.
interpretable_machine_learning_with_python
Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
awesome-gradient-boosting-papers
A curated list of gradient boosting research papers with implementations.
skutil
NOTE: skutil is now deprecated. See its sister project: https://github.com/tgsmith61591/skoot. Original description: A set of scikit-learn and h2o extension classes (as well as caret classes for pytho...
h2o-3
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-Me...
sparkling-water
Sparkling Water provides H2O functionality inside Spark cluster
h2o-meetups
Presentations from H2O meetups & conferences by the H2O.ai team
benchm-ml
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algor...