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H2o 3 ⭐ 6,618

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.

Benchm Ml ⭐ 1,839

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 ⭐ 1,403

Tutorials and training material for the H2O Machine Learning Platform

Sparkling Water ⭐ 957

Sparkling Water provides H2O functionality inside Spark cluster

Awesome Gradient Boosting Papers ⭐ 930

A curated list of gradient boosting research papers with implementations.

Onnxmltools ⭐ 896

ONNXMLTools enables conversion of models to ONNX

Kafka Streams Machine Learning Examples ⭐ 806

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.

Interpretable_machine_learning_with_python ⭐ 629

Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

Mli Resources ⭐ 405

H2O.ai Machine Learning Interpretability Resources

Awesome H2o ⭐ 345

A curated list of research, applications and projects built using the H2O Machine Learning platform

Gwu_data_mining ⭐ 228

Materials for GWU DNSC 6279 and DNSC 6290.

R Library for Analytics and Machine Learning

Machine Learning and Deep Learning Resources

Gbm Perf ⭐ 180

Performance of various open source GBM implementations

Wave Apps ⭐ 133

Sample AI Apps built with H2O Wave.

Forestflow ⭐ 68

ForestFlow is a policy-driven Machine Learning Model Server. It is an LF AI Foundation incubation project.

Machine Learning Resources ⭐ 59

Mlstudio ⭐ 58

The ML Studio Package

Telco Customer Churn In R And H2o ⭐ 57

Showcase for using H2O and R for churn prediction (inspired by ZhouFang928 examples)

Retail Segmentation Based Marketing Campaing In R And H2o ⭐ 51

Showcase for using H2O and R for scoring for marketing campaign in retail

Mercury Ml ⭐ 40

Mercury-ML is an open source Machine Learning workflow management library. Its core contributors are employees of Alexander Thamm GmbH

Modeltime.h2o ⭐ 38

Forecasting with H2O AutoML. Use the H2O Automatic Machine Learning algorithm as a backend for Modeltime Time Series Forecasting.

Forecastveg ⭐ 34

A Machine Learning Approach to Forecasting Remotely Sensed Vegetation Health in Python

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

Sldm4 H2o ⭐ 27

Statistical Learning & Data Mining IV - H2O Presenation & Tutorial

End To End Automl Insurance ⭐ 23

An End-to-End Implementation of AutoML with H2O, MLflow, FastAPI, and Streamlit for Insurance Cross-Sell

Dai Deployment Templates ⭐ 18

Production ready templates for deploying Driverless AI (DAI) scorers. https://h2oai.github.io/dai-deployment-templates/

Workshop_2018_dsgo ⭐ 12

DataScienceGO 2018 - Machine Learning Workshop

H2o Kubernetes ⭐ 12

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.

Odsc_h2o_machine_learning ⭐ 11

Materials for Machine Learning with H2O Open Platform at ODSC Masterclass Summit 2017

Ai Jack Opensource R ⭐ 9

A machine learning pipeline accelerator, written in a form of R library.

Pnustat_lec_201912 ⭐ 8

2019/12/26 ~ 27일, 2 ~ 5pm R, ML, h2o 특강

H2o Ai 101 ⭐ 8

This repository covers h2o ai based implementations

H2o Parallel Grid Search Benchmark ⭐ 7

Parallel Grid Search benchmark - H2O Machine Learning

Python Projects ⭐ 7

Portfolio in Python

Shiny App ⭐ 6

A shiny interface for ML models, data visualization etc.

Autoautoml ⭐ 6

Computational experiments for the paper "A Comparison of AutoML Tools for Machine Learning, Deep Learning and XGBoost" (IJCNN 2021)

Avdatafest Xtreme Ml Hack ⭐ 6

R package for automatic hyper parameter tuning and ensembles with deep learning, gradient boosting machines, and random forests. Powered by h2o.

Shapley Values H2o Example ⭐ 6

Shapley Values with H2O AutoML Example (ML Interpretability)

Machine Learning Course ⭐ 5

Machine Learning and Deep Learning Course

H2o Tutorial ⭐ 5

H2O Tuning and Ensembling Tutorial for R

H2o R Examples ⭐ 5

H2O-3 Examples in R

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