@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 2.5k 1k

  2. sparkling-water

    Sparkling Water provides H2O functionality inside Spark cluster

    Scala 556 232

  3. h2o-tutorials

    Tutorials and training material for the H2O Machine Learning Platform

    Jupyter Notebook 409 361

  4. deepwater

    Deep Learning in H2O using Native GPU Backends

    C++ 224 65

  5. h2o4gpu

    H2Oai GPU Edition

    C++ 45 11

  6. 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++ 4 2

  • 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 2,521 1,021 Apache-2.0 Updated Oct 22, 2017
  • Sparkling Water provides H2O functionality inside Spark cluster

    Scala 556 232 Apache-2.0 Updated Oct 22, 2017
  • Library of different Jenkins pipeline building blocks.

    Groovy 1 Apache-2.0 Updated Oct 20, 2017
  • H2Oai GPU Edition

    C++ 45 11 Updated Oct 19, 2017
  • Presentations from H2O meetups & conferences by the H2O.ai team

    Jupyter Notebook 209 137 Updated Oct 18, 2017
  • A curated list of research, applications and projects built using H2O Machine Learning

    62 10 Updated Oct 18, 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++ 4 4,456 Updated Oct 16, 2017
  • Tutorials and training material for the H2O Machine Learning Platform

    Jupyter Notebook 409 359 Updated Oct 14, 2017
  • Build, manage and deploy H2O's high-speed machine learning models.

    Java 41 14 AGPL-3.0 Updated Oct 12, 2017
  • daal

    Forked from 01org/daal

    Intel® Data Analytics Acceleration Library (Intel® DAAL)

    C++ 45 Updated Sep 30, 2017
  • Web based interactive computing environment for H2O

    JavaScript 78 39 MIT Updated Sep 28, 2017
  • H2O Cloud code.

    Jupyter Notebook 1 Updated Sep 28, 2017
  • Deep Learning in H2O using Native GPU Backends

    C++ 224 65 Apache-2.0 Updated Sep 26, 2017
  • Templates for projects based on top of H2O.

    Java 27 23 Updated Sep 22, 2017
  • RSparkling: Use H2O Sparkling Water from R (Spark + R + Machine Learning)

    R 53 15 Apache-2.0 Updated Sep 19, 2017
  • Python 2.7 & 3.5+ runtime type-checker

    Python 3 1 Apache-2.0 Updated Sep 11, 2017
  • Python 6 1 Updated Sep 10, 2017
  • scikit-learn: machine learning in Python

    Python 11,751 Updated Aug 25, 2017
  • Python 3 Bindings for NVML library. Get NVIDIA GPU status inside your program.

    Python 3 Updated Aug 22, 2017
  • cub

    Forked from NVlabs/cub

    CUB is a flexible library of cooperative threadblock primitives and other utilities for CUDA kernel programming.

    Cuda 106 Updated Aug 18, 2017
  • Example of putting a mojo zip file as a resource into a java servlet.

    Java Apache-2.0 Updated Jul 25, 2017
  • Shell 1 Updated Jul 20, 2017
  • Log Analysis Use Case for PyData2016

    Java 1 Updated Jul 20, 2017
  • A common bricks library for building scalable and portable distributed machine learning.

    C++ 327 Updated Jul 12, 2017
  • Shell Updated Jul 6, 2017
  • Shell Updated Jul 6, 2017
  • kmeans clustering with multi-GPU capabilities

    C++ 8 Updated Jun 22, 2017
  • Meetup Hackathon 06/21/2017

    HTML 1 11 Updated Jun 21, 2017
  • Performance Benchmarks

    Jupyter Notebook 15 5 Apache-2.0 Updated Jun 18, 2017
  • kmcuda

    Forked from src-d/kmcuda

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

    Jupyter Notebook 40 Updated Jun 14, 2017