RemixautomlR package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.
Benchm MlA 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 algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
H2o TutorialsTutorials and training material for the H2O Machine Learning Platform
RsparklingRSparkling: Use H2O Sparkling Water from R (Spark + R + Machine Learning)
Sparkling WaterSparkling Water provides H2O functionality inside Spark cluster
Kafka Streams Machine Learning ExamplesThis project contains examples which demonstrate how to deploy analytic models to mission-critical, scalable production environments leveraging Apache Kafka and its Streams API. Models are built with Python, H2O, TensorFlow, Keras, DeepLearning4 and other technologies.
H2o 3H2O 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 MeetupsPresentations from H2O meetups & conferences by the H2O.ai team
CudfcuDF - GPU DataFrame Library
KataribeAccess log profiler based on response time
Awesome H2oA curated list of research, applications and projects built using the H2O Machine Learning platform
ForestFlowForestFlow is a policy-driven Machine Learning Model Server. It is an LF AI Foundation incubation project.
sldm4-h2oStatistical Learning & Data Mining IV - H2O Presenation & Tutorial
steamDEPRECATED Build, manage and deploy H2O's high-speed machine learning models.
pyh2oPython binding for the H2O HTTP server
mercury-mlMercury-ML is an open source Machine Learning workflow management library. Its core contributors are employees of Alexander Thamm GmbH
skutilNOTE: 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 python). See more here: https://tgsmith61591.github.io/skutil
nih-chest-xrayIdentifying diseases in chest X-rays using convolutional neural networks
forecastVegA Machine Learning Approach to Forecasting Remotely Sensed Vegetation Health in Python