h2o

There are 198 repositories under h2o topic.

  • Machine-learning-with-H2O-in-Python

    Language:Jupyter Notebook10

  • mlflow-minio-h2o-example

    MLflow-tracking server example with Minio and H2O

    Language:Jupyter Notebook18

  • mlops-dai-runtimes

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

    Language:Java18

  • SpecializationProject

    A machine learning approach to soil moisture estimation using NASA's CYGNSS data.

    Language:Python14

  • water-steam-if97

    Ultra-high-resolution water and steam property calculation, based on IAPWS-IF 97

    Language:C14

  • R_selflearning

    Developing self learning robot

    Language:R12

  • ht-catalog

    Diverse collection of 100 Hydrogen Torch Use-Cases by different industries, data-types, and problem types

    Language:HTML11

  • AI-JACK-opensource-R

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

    Language:R11

  • vds

    Verteego Data Suite

    Language:Shell10

  • Machine_Learning_Spain

    Presentación, código y ejemplos del Machine Learning Spain XXVII

    Language:HTML9

  • gridisl

    Discrete SuperLearner with Grid-Search for Longitudinal Data

    Language:R9

  • R-projects

    Portfolio in R

    Language:R8

  • ml-toolbox

    This repo contains various data science strategy and machine learning models to deal with structure as well as unstructured data. It contains module on feature-preprocessing, feature-engineering, machine-learning-models, bayesian-parameter-tuning, etc, built using libraries such as scikit-learn, keras, h2o, xgboost, lightgbm, catboost, etc.

    Language:Python8

  • ML-Automation

    Benchmark of current ML automation frameworks

    Language:Python8

  • machine-learning-course

    Machine Learning and Deep Learning Course

    Language:R8

  • hpc-savio-xsede

    Multicore and multi-node parallel R computation via SLURM on the Savio cluster at UC Berkeley, plus XSEDE

    Language:Shell8

  • autoEnsemble

    autoEnsemble : An AutoML Algorithm for Building Homogeneous and Heterogeneous Stacked Ensemble Models by Searching for Diverse Base-Learners

    Language:R7

  • h2o-parallel-grid-search-benchmark

    Parallel Grid Search benchmark - H2O Machine Learning

    Language:R7

  • oci-h2o

    Terraform module to deploy H2O Driverless AI on Oracle Cloud Infrastructure (OCI)

    Language:Shell7

  • machine-learning-in-R

    A bookdown version of the UseR 2016 machine learning tutorial given by Erin LeDell

    Language:CSS7

  • phishing-website-detection

    Final master's degree project. Machine learning models and techniques

    Language:Jupyter Notebook7

  • startml

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

    Language:R7
  • sonarIssueScoring

    sonarIssueScoring

    Where do we refactor next? A predictive maintenance approach to java code smells.

    Language:Java6

  • h2o-r-examples

    H2O-3 Examples in R

    Language:HTML6

  • h2o-tutorial

    H2O Tuning and Ensembling Tutorial for R

    Language:R6

  • ansible-role-h2o-docker-proxy-letsencrypt

    :japanese_castle::whale::closed_lock_with_key: Ansible role that sets up an automated H2O reverse proxy for docker containers with automatic creation of Let's Encrypt certificates using docker-gen.

    Language:Shell6

  • autoMLviz

    Functions for plotting performance indicators from H2OAutoML objects

    Language:R5

  • Akamai-log-Analysis-SparkML-H2o

    Transformation of Akamai Logs with Spark ETL and discover of Values and similarities in logs used SparkML and H2O ML

    Language:HTML5

  • detect-anomaly

    Repository for Udemy Course: Identify problems with Artificial Intelligence

    Language:R5

  • AutoML

    Repositório com projetos utilizando ferramentas e bibliotecas para automatização de etapas de projetos de data science.

    Language:Jupyter Notebook4

  • AWS_EMR_Pysparkling

    Set Up Python environment on AWS EMR cluster with H2O Sparkling Water (Pysparling)

    Language:Jupyter Notebook4
  • NBA_Schedule_XGBoost_Classifier

    NBA_Schedule_XGBoost_Classifier

    Predicting NBA game outcomes using schedule related information. This is an example of supervised learning where a xgboost model was trained with 20 seasons worth of NBA games and uses SHAP values for model explainability.

    Language:Jupyter Notebook3

  • jsm-2018

    Joint Statistical Meeting 2018

    Language:R3

  • RadISpeC

    Radiation Interface for Matlab Spectroscopy Calculations. Uses HITRAN and HITEMP

    3

  • rAutoML

    Auto Machine Learning in R

    Language:R3

  • sdss-h2o-automl

    Code & presentation for the 'H2O AutoML' short course at SDSS 2018 in Reston, VA

    Language:HTML3