Top 29 h2o open source projects

Remixautoml
R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.
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 algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
H2o Tutorials
Tutorials and training material for the H2O Machine Learning Platform
Rsparkling
RSparkling: Use H2O Sparkling Water from R (Spark + R + Machine Learning)
Ksql Fork With Deep Learning Function
Deep Learning UDF for KSQL, the Streaming SQL Engine for Apache Kafka with Elasticsearch Sink Example
H2o.docker
docker files for h2o http2 webserver
Sparkling Water
Sparkling Water provides H2O functionality inside Spark cluster
Kafka Streams Machine Learning Examples
This 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 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-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
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.
H2o Meetups
Presentations from H2O meetups & conferences by the H2O.ai team
Kataribe
Access log profiler based on response time
Awesome H2o
A curated list of research, applications and projects built using the H2O Machine Learning platform
ForestFlow
ForestFlow is a policy-driven Machine Learning Model Server. It is an LF AI Foundation incubation project.
sldm4-h2o
Statistical Learning & Data Mining IV - H2O Presenation & Tutorial
steam
DEPRECATED Build, manage and deploy H2O's high-speed machine learning models.
pyh2o
Python binding for the H2O HTTP server
telco-customer-churn-in-r-and-h2o
Showcase for using H2O and R for churn prediction (inspired by ZhouFang928 examples)
mercury-ml
Mercury-ML is an open source Machine Learning workflow management library. Its core contributors are employees of Alexander Thamm GmbH
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 python). See more here: https://tgsmith61591.github.io/skutil
nih-chest-xray
Identifying diseases in chest X-rays using convolutional neural networks
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