@h2oai

H2O.ai

Fast Scalable Machine Learning For Smarter Applications

Pinned repositories

  1. h2o-3

    Open Source Fast Scalable Machine Learning Platform For Smarter Applications (Deep Learning, Gradient Boosting, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Mean…

    Java 3.3k 1.3k

  2. sparkling-water

    Sparkling Water provides H2O functionality inside Spark cluster

    Scala 668 286

  3. h2o-tutorials

    Tutorials and training material for the H2O Machine Learning Platform

    Jupyter Notebook 684 579

  4. h2o4gpu

    H2Oai GPU Edition

    Python 189 47

  5. 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++ 15 8

  6. datatable

    data.table for Python

    C++ 162 10

  • H2Oai GPU Edition

    Python 189 47 Apache-2.0 Updated Aug 20, 2018
  • data.table for Python

    C++ 162 10 MPL-2.0 Updated Aug 21, 2018
  • Open Source Fast Scalable Machine Learning Platform For Smarter Applications (Deep Learning, Gradient Boosting, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles, Automatic Machine Learning (AutoML), ...)

    Java 3,323 1,280 Apache-2.0 Updated Aug 20, 2018
  • Library of different Jenkins pipeline building blocks.

    Groovy 2 Apache-2.0 Updated Aug 20, 2018
  • Tutorials and training material for the H2O Machine Learning Platform

    Jupyter Notebook 684 579 Updated Aug 20, 2018
  • 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++ 15 5,843 Updated Aug 20, 2018
  • reproducible speed and memory benchmark of database-like ops

    R 10 MPL-2.0 Updated Aug 20, 2018
  • Sparkling Water provides H2O functionality inside Spark cluster

    Scala 668 286 Apache-2.0 Updated Aug 20, 2018
  • H2OAI Driverless AI Code Samples and Tutorials

    Jupyter Notebook Updated Aug 17, 2018
  • Web based interactive computing environment for H2O

    JavaScript 86 47 MIT Updated Aug 17, 2018
  • Java Apache-2.0 Updated Aug 17, 2018
  • Testing ground to ensure mojos backward compatibility

    Java Updated Aug 15, 2018
  • Machine Learning Interpretability Resources

    Jupyter Notebook 151 35 Updated Aug 11, 2018
  • 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++ 1,724 MIT Updated Aug 8, 2018
  • Presentations from H2O meetups & conferences by the H2O.ai team

    Jupyter Notebook 295 173 Updated Aug 3, 2018
  • Python implementation of Benford's Law tests.

    Jupyter Notebook 6 GPL-3.0 Updated Aug 3, 2018
  • pandas, scikit-learn, xgboost and seaborn integration

    Python 33 BSD-3-Clause Updated Aug 3, 2018
  • Python 2.7 & 3.5+ runtime type-checker

    Python 5 3 Apache-2.0 Updated Jul 25, 2018
  • A curated list of research, applications and projects built using H2O Machine Learning

    97 27 Updated Jul 23, 2018
  • Dockerfile Updated Jul 20, 2018
  • rsparkling Archived

    RSparkling: Use H2O Sparkling Water from R (Spark + R + Machine Learning)

    R 65 25 Apache-2.0 Updated Jul 19, 2018
  • Shell 13 7 Updated Jul 18, 2018
  • Jupyter magics and kernels for working with remote Spark clusters

    Python 140 Updated Jul 13, 2018
  • Shell Updated Jul 6, 2018
  • HTML Updated Jul 6, 2018
  • Shell Updated Jul 3, 2018
  • Shell Updated Jun 22, 2018
  • Shell Updated Jun 21, 2018
  • Python 6 4 Updated Jun 13, 2018
  • Python 3 3 Updated Jun 13, 2018