H2O.ai

Repositories

• h2o-3

  Open Source Fast Scalable Machine Learning Platform For Smarter Applications: Deep Learning, Gradient Boosting & XGBoost, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

  python java data-science machine-learning multi-threading opensource r
  Jupyter Notebook Apache-2.0 1,735 4,817 0 119 Updated Jun 4, 2020

• datatable

  data.table for Python
  C++ MPL-2.0 74 926 97 2 Updated Jun 4, 2020

• sparkling-water

  Sparkling Water provides H2O functionality inside Spark cluster

  api machine-learning spark integration h2o pysparkling rsparkling
  Scala Apache-2.0 354 845 0 5 Updated Jun 3, 2020

• driverlessai-recipes

  Recipes for Driverless AI
  Python Apache-2.0 49 111 12 (1 issue needs help) 6 Updated Jun 3, 2020

• db-benchmark

  reproducible benchmark of database-like ops
  Python MPL-2.0 16 83 35 1 Updated Jun 3, 2020

• 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
  63 251 0 0 Updated Jun 3, 2020

• h2o4gpu

  H2Oai GPU Edition

  python c-plus-plus machine-learning r cpu gpu cuda
  Python Apache-2.0 96 373 139 10 Updated Jun 3, 2020

• 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 3 10 10 6 Updated Jun 1, 2020

• 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 31 75 1 0 Updated Jun 1, 2020

• 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++ 7,546 37 6 4 Updated Jun 1, 2020

• h2o-tutorials

  Tutorials and training material for the H2O Machine Learning Platform

  python data-science machine-learning tutorial r deep-learning h2o
  Jupyter Notebook 940 1,215 27 5 Updated May 31, 2020

• h2o-automl-paper

  H2O AutoML paper

  machine-learning benchmarks automl
  R MIT 0 1 0 0 Updated May 30, 2020

• h2o-flow

  Web based interactive computing environment for H2O
  CoffeeScript MIT 59 111 2 3 Updated May 28, 2020

• shap

  Forked from slundberg/shap

  A game theoretic approach to explain the output of any machine learning model.
  Jupyter Notebook MIT 1,269 0 0 0 Updated May 26, 2020

• CRAFT-pytorch

  Forked from clovaai/CRAFT-pytorch

  Official implementation of Character Region Awareness for Text Detection (CRAFT)
  Python 393 0 0 0 Updated May 26, 2020

• covid19-datasets
  3 12 0 0 Updated May 25, 2020

• mli-resources

  H2O.ai Machine Learning Interpretability Resources

  python data-science machine-learning data-mining h2o xgboost transparency
  Jupyter Notebook 107 380 4 0 Updated May 22, 2020

• unilm

  Forked from microsoft/unilm

  UniLM - Unified Language Model Pre-training / Pre-training for NLP and Beyond
  Python 216 0 0 0 Updated May 21, 2020

• driverlessai-tutorials

  H2OAI Driverless AI Code Samples and Tutorials
  Jupyter Notebook 19 31 10 4 Updated May 21, 2020

• driverlessai-alt-containers
  Shell 0 0 0 0 Updated May 15, 2020

• poboys_conda_package_server

  Forked from hemenkapadia/poboys_conda_package_server

  A poor-man's hacky replacement for Anaconda Server. For small groups behind a firewall
  Python 6 1 0 0 Updated May 13, 2020

• py-repo

  Python package repository
  HTML 0 2 1 0 Updated May 12, 2020

• dai-deployment-examples

  Examples for deploying Driverless AI (DAI) scorers.
  Python 1 5 7 5 Updated May 8, 2020

• h2o-cloud

  H2O Cloud code.

  aws cloud azure h2o bluemix
  Jupyter Notebook 5 1 1 0 Updated May 6, 2020

• article-information-2019

  Article for Special Edition of Information: Machine Learning with Python

  python data-science machine-learning interpretable-ai interpretable-ml explainable-ai explainable-ml
  Jupyter Notebook Apache-2.0 0 10 7 0 Updated May 6, 2020

• xgboost-predictor
  Java Apache-2.0 1 9 1 0 Updated May 4, 2020

• 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 2,890 2 0 0 Updated Apr 27, 2020

• mojoland

  Testing ground to ensure mojos backward compatibility
  Python 0 0 0 0 Updated Apr 23, 2020

• h2o-meetups

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

  h2o presentations meetups h2oai
  Jupyter Notebook 202 395 0 1 Updated Apr 16, 2020

• h2o-jenkins-pipeline-lib

  Library of different Jenkins pipeline building blocks.
  Groovy Apache-2.0 2 6 3 3 Updated Apr 14, 2020