@h2oai

H2O.ai

Fast Scalable Machine Learning For Smarter Applications

Pinned repositories

  1. h2o-3

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

    Java 2.2k 906

  2. sparkling-water

    Sparkling Water provides H2O functionality inside Spark cluster

    Scala 510 215

  3. h2o-tutorials

    Tutorials and training material for the H2O Machine Learning Platform

    Jupyter Notebook 319 305

  4. h2o-meetups

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

    Jupyter Notebook 184 128

  5. deepwater

    Deep Learning in H2O using Native GPU Backends

    C++ 187 56

  6. steam

    Build, manage and deploy H2O's high-speed machine learning models.

    Java 32 10

  • Sparkling Water provides H2O functionality inside Spark cluster

    Scala 510 215 Updated Jun 23, 2017
  • Deep Learning in H2O using Native GPU Backends

    C++ 187 56 Updated Jun 23, 2017
  • 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++ 3 3,838 Updated Jun 22, 2017
  • Open Source Fast Scalable Machine Learning API For Smarter Applications (Deep Learning, Gradient Boosting, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles...)

    Java 2,152 905 Updated Jun 23, 2017
  • kmeans clustering with multi-GPU capabilities

    C++ 3 Updated Jun 22, 2017
  • Meetup Hackathon 06/21/2017

    HTML 1 5 Updated Jun 22, 2017
  • Presentations from H2O meetups & conferences by the H2O.ai team

    Jupyter Notebook 184 128 Updated Jun 19, 2017
  • Performance Benchmarks

    Jupyter Notebook 12 2 Updated Jun 18, 2017
  • RSparkling: Use H2O Sparkling Water from R (Spark + R + Machine Learning)

    R 43 8 Updated Jun 16, 2017
  • Shell Updated Jun 16, 2017
  • Python 2 Updated Jun 16, 2017
  • A curated list of research, applications and projects built using H2O Machine Learning

    35 3 Updated Jun 15, 2017
  • Tutorials and training material for the H2O Machine Learning Platform

    Jupyter Notebook 319 305 Updated Jun 15, 2017
  • kmcuda

    Forked from src-d/kmcuda

    Large scale K-means and K-nn implementation on NVIDIA GPU / CUDA

    Jupyter Notebook 33 Updated Jun 15, 2017
  • Build, manage and deploy H2O's high-speed machine learning models.

    Java 32 10 Updated Jun 12, 2017
  • redis

    Forked from antirez/redis

    Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, HyperLogLogs, Bitmaps.

    C 8,985 Updated Jun 9, 2017
  • Web based interactive computing environment for H2O

    JavaScript 73 39 Updated Jun 9, 2017
  • Optimized primitives for collective multi-GPU communication (with Windows / Visual Studio capability)

    Cuda 101 Updated Jun 9, 2017
  • H2O Cloud code.

    Jupyter Notebook Updated Jun 9, 2017
  • Templates for projects based on top of H2O.

    Java 27 22 Updated May 19, 2017
  • Shell Updated May 11, 2017
  • Shell Updated May 9, 2017
  • Shell Updated May 9, 2017
  • Python 1 Updated May 6, 2017
  • Shell 1 Updated Apr 29, 2017
  • Shell Updated Apr 29, 2017
  • JavaScript 1 1 Updated Apr 19, 2017
  • JavaScript 1 1 Updated Apr 19, 2017
  • JavaScript 2 1 Updated Apr 19, 2017
  • JavaScript 2 1 Updated Apr 19, 2017