H2O.ai

Repositories

• 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.

  python java data-science machine-learning multi-threading opensource r
  Jupyter Notebook Apache-2.0 1,840 5,308 0 132 Updated Apr 21, 2021

• wave-ml

  Automatic Machine Learning (AutoML) for Wave Apps
  Python Apache-2.0 0 8 8 0 Updated Apr 21, 2021

• wave

  Realtime Web Apps and Dashboards for Python

  visualization python app dashboard realtime webapp
  Python Apache-2.0 113 2,563 150 (4 issues need help) 28 Updated Apr 21, 2021

• sparkling-water

  Sparkling Water provides H2O functionality inside Spark cluster

  api machine-learning spark integration h2o pysparkling rsparkling
  Scala Apache-2.0 364 887 8 10 Updated Apr 21, 2021

• datatable

  A Python package for manipulating 2-dimensional tabular data structures

  python performance data-structure data-analysis ftrl
  C++ MPL-2.0 105 1,192 126 4 Updated Apr 21, 2021

• wave-apps

  Sample AI Apps built with H2O Wave. Maintained by the Wave core team.
  Python MIT 11 65 4 1 Updated Apr 20, 2021

• driverlessai-recipes

  Recipes for Driverless AI
  Python Apache-2.0 63 156 15 (1 issue needs help) 12 Updated Apr 20, 2021

• pandas-ml

  Forked from pandas-ml/pandas-ml

  pandas, scikit-learn, xgboost and seaborn integration
  Python BSD-3-Clause 63 1 0 0 Updated Apr 20, 2021

• h2o-flow

  Web based interactive computing environment for H2O
  CoffeeScript MIT 63 121 2 9 Updated Apr 19, 2021

• h2o-tutorials

  Tutorials and training material for the H2O Machine Learning Platform

  python data-science machine-learning tutorial r deep-learning h2o
  Jupyter Notebook 999 1,314 30 12 Updated Apr 16, 2021

• tutorials

  This is a repo for all the tutorials put out by H2O.ai. This includes learning paths for Driverless AI, H2O-3, Sparkling Water and more...
  Jupyter Notebook 45 102 18 (1 issue needs help) 12 Updated Apr 17, 2021

• h2o4gpu

  H2Oai GPU Edition

  python c-plus-plus machine-learning r cpu gpu cuda
  Python Apache-2.0 98 418 145 8 Updated Apr 16, 2021

• xgboost

  Forked from dmlc/xgboost

  Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow
  C++ 7,973 40 6 5 Updated Apr 15, 2021

• tensorflow-1

  Forked from NVIDIA/tensorflow

  An Open Source Machine Learning Framework for Everyone
  C++ Apache-2.0 29 0 0 0 Updated Apr 14, 2021

• mojoland

  Testing ground to ensure mojos backward compatibility
  Python 0 0 0 0 Updated Apr 14, 2021

• db-benchmark

  reproducible benchmark of database-like ops
  R MPL-2.0 25 124 32 4 Updated Apr 9, 2021

• javassist

  Forked from jboss-javassist/javassist

  Java bytecode engineering toolkit
  Java 587 0 0 1 Updated Apr 5, 2021

• dai-deployment-templates

  Production ready templates for deploying Driverless AI (DAI) scorers.

  machine-learning mojo h2o h2oai model-deployment model-serving model-server
  Java Apache-2.0 5 12 15 11 Updated Apr 2, 2021

• dai-deployment-examples

  Examples for deploying Driverless AI (DAI) scorers.
  Java 2 7 6 7 Updated Apr 1, 2021

• h2o-jenkins-pipeline-lib

  Library of different Jenkins pipeline building blocks.
  Groovy Apache-2.0 2 6 3 3 Updated Apr 1, 2021

• wave-amlb

  Wave Dashboard for the OpenML AutoML Benchmark

  benchmark wave automl
  Python 1 1 0 0 Updated Mar 31, 2021

• driverlessai-alt-containers
  Shell 1 1 0 0 Updated Mar 25, 2021

• awesome-h2o

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

  data-science machine-learning awesome deep-learning h2o awesome-list h2oai
  68 295 0 1 Updated Mar 22, 2021

• LightGBM

  Forked from microsoft/LightGBM

  A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.
  C++ MIT 3,267 3 0 0 Updated Mar 2, 2021

• h2o-meetups

  Presentations from H2O meetups & conferences by the H2O.ai team

  h2o presentations meetups h2oai
  Jupyter Notebook 210 405 0 1 Updated Feb 28, 2021

• 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.

  kubernetes rust machine-learning ai cluster h2o kubernetes-cluster
  Rust Apache-2.0 1 14 4 1 Updated Feb 24, 2021

• optuna

  Forked from optuna/optuna

  A hyperparameter optimization framework
  Python MIT 492 0 0 0 Updated Feb 20, 2021

• driverlessai-tutorials

  H2OAI Driverless AI Code Samples and Tutorials
  Jupyter Notebook 20 36 10 0 Updated Feb 1, 2021

• dask-lightgbm

  Forked from dask/dask-lightgbm
  Python BSD-3-Clause 28 0 0 0 Updated Jan 24, 2021

• mli-resources

  H2O.ai Machine Learning Interpretability Resources

  python data-science machine-learning data-mining h2o xgboost transparency
  Jupyter Notebook 121 431 4 0 Updated Dec 12, 2020