h2o
There are 191 repositories under h2o topic.
h2oai/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.
szilard/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.).
h2oai/h2o-tutorials
Tutorials and training material for the H2O Machine Learning Platform
benedekrozemberczki/awesome-gradient-boosting-papers
A curated list of gradient boosting research papers with implementations.
h2oai/sparkling-water
Sparkling Water provides H2O functionality inside Spark cluster
kaiwaehner/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.
jphall663/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.
h2oai/mli-resources
H2O.ai Machine Learning Interpretability Resources
h2oai/h2o-meetups
Presentations from H2O meetups & conferences by the H2O.ai team
h2oai/awesome-h2o
A curated list of research, applications and projects built using the H2O Machine Learning platform
matsuu/kataribe
Access log profiler based on response time
jphall663/GWU_data_mining
Materials for GWU DNSC 6279 and DNSC 6290.
AdrianAntico/AutoQuant
R package for automation of machine learning, forecasting, model evaluation, and model interpretation
laresbernardo/lares
Analytics & Machine Learning R Sidekick
catboost/benchmarks
Comparison tools
gregwchase/nih-chest-xray
Identifying diseases in chest X-rays using convolutional neural networks
kaiwaehner/ksql-fork-with-deep-learning-function
Deep Learning UDF for KSQL, the Streaming SQL Engine for Apache Kafka with Elasticsearch Sink Example
ForestFlow/ForestFlow
ForestFlow is a policy-driven Machine Learning Model Server. It is an LF AI Foundation incubation project.
kennethleungty/End-to-End-AutoML-Insurance
An End-to-End Implementation of AutoML with H2O, MLflow, FastAPI, and Streamlit for Insurance Cross-Sell
h2oai/rsparkling
RSparkling: Use H2O Sparkling Water from R (Spark + R + Machine Learning)
h2oai/steam
DEPRECATED Build, manage and deploy H2O's high-speed machine learning models.
WLOGSolutions/telco-customer-churn-in-r-and-h2o
Showcase for using H2O and R for churn prediction (inspired by ZhouFang928 examples)
WLOGSolutions/retail-segmentation-based-marketing-campaing-in-r-and-h2o
Showcase for using H2O and R for scoring for marketing campaign in retail
JohnNay/forecastVeg
A Machine Learning Approach to Forecasting Remotely Sensed Vegetation Health in Python
business-science/modeltime.h2o
Forecasting with H2O AutoML. Use the H2O Automatic Machine Learning algorithm as a backend for Modeltime Time Series Forecasting.
lkwg82/h2o.docker
docker files for h2o http2 webserver
tgsmith61591/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
ledell/sldm4-h2o
Statistical Learning & Data Mining IV - H2O Presenation & Tutorial
uzaymacar/exemplary-ml-pipeline
Exemplary, annotated machine learning pipeline for any tabular data problem.
iceboy233/pyh2o
Python binding for the H2O HTTP server
shogo82148/go-nginx-oauth2-adapter
Add oauth2 authentication layer with ngx_http_auth_request_module
h2oai/h2o-kubernetes
H2O Open Source Kubernetes operator and a command-line tool to ease deployment (and undeployment) of H2O open-source machine learning platform H2O-3 to Kubernetes.
SeanPLeary/shapley-values-h2o-example
Shapley Values with H2O AutoML Example (ML Interpretability)
serengil/h2o-ai-101
This repository covers h2o ai based implementations
SeanPLeary/mlflow-minio-h2o-example
MLflow-tracking server example with Minio and H2O
AIR-DI/D2C
D2C(Data-driven Control Library) is a library for data-driven control based on reinforcement learning.