@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 3.4k 1.3k

  2. sparkling-water

    Sparkling Water provides H2O functionality inside Spark cluster

    Scala 683 292

  3. h2o-tutorials

    Tutorials and training material for the H2O Machine Learning Platform

    Jupyter Notebook 720 605

  4. h2o4gpu

    H2Oai GPU Edition

    Python 201 54

  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 10

  6. datatable

    data.table for Python

    C++ 180 12

  • data.table for Python

    C++ 180 12 MPL-2.0 Updated Sep 25, 2018
  • Sparkling Water provides H2O functionality inside Spark cluster

    Scala 683 292 Apache-2.0 Updated Sep 24, 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 3,435 1,317 Apache-2.0 Updated Sep 24, 2018
  • reproducible benchmark of database-like ops

    Python 10 MPL-2.0 Updated Sep 24, 2018
  • H2Oai GPU Edition

    Python 201 54 Apache-2.0 Updated Sep 23, 2018
  • H2O.ai Machine Learning Interpretability Resources

    Jupyter Notebook 172 41 Updated Sep 22, 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++ 1,801 MIT Updated Sep 21, 2018
  • Tutorials and training material for the H2O Machine Learning Platform

    Jupyter Notebook 720 601 Updated Sep 21, 2018
  • h2o = fast statistical, machine learning & math runtime for bigdata

    Java 2,270 601 Apache-2.0 Updated Sep 21, 2018
  • A curated list of research, applications and projects built using H2O Machine Learning

    100 30 Updated Sep 21, 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 5,931 Updated Sep 20, 2018
  • Jupyter Notebook 41 3 MIT Updated Sep 20, 2018
  • Library of different Jenkins pipeline building blocks.

    Groovy 2 Apache-2.0 Updated Sep 19, 2018
  • Presentations from H2O meetups & conferences by the H2O.ai team

    Jupyter Notebook 301 172 Updated Sep 18, 2018
  • A poor-man's hacky replacement for Anaconda Server. For small groups behind a firewall

    Python 3 Updated Sep 14, 2018
  • Dockerfile Updated Sep 13, 2018
  • Dockerfile Updated Sep 13, 2018
  • H2OAI Driverless AI Code Samples and Tutorials

    Jupyter Notebook 3 2 Updated Sep 12, 2018
  • Web based interactive computing environment for H2O

    JavaScript 87 47 MIT Updated Sep 12, 2018
  • Java Apache-2.0 Updated Sep 12, 2018
  • Dockerfile Updated Sep 10, 2018
  • Dockerfile Updated Sep 7, 2018
  • Integrating H2O-3 AutoML with Amazon Sagemaker

    Jupyter Notebook 2 Updated Aug 29, 2018
  • Shell 16 8 Updated Aug 21, 2018
  • Jupyter magics and kernels for working with remote Spark clusters

    Python 142 Updated Aug 21, 2018
  • Testing ground to ensure mojos backward compatibility

    Java Updated Aug 15, 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 6 3 Apache-2.0 Updated Jul 25, 2018
  • rsparkling Archived

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

    R 65 25 Apache-2.0 Updated Jul 19, 2018