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 1,745 4,864 0 120 Updated Jun 28, 2020

• datatable

  data.table for Python
  C++ MPL-2.0 78 941 97 0 Updated Jun 27, 2020

• db-benchmark

  reproducible benchmark of database-like ops
  Python MPL-2.0 16 84 30 0 Updated Jun 27, 2020

• h2o4gpu

  H2Oai GPU Edition

  python c-plus-plus machine-learning r cpu gpu cuda
  Python Apache-2.0 97 379 139 14 Updated Jun 27, 2020

• driverlessai-recipes

  Recipes for Driverless AI
  Python Apache-2.0 49 113 12 (1 issue needs help) 6 Updated Jun 26, 2020

• sparkling-water

  Sparkling Water provides H2O functionality inside Spark cluster

  api machine-learning spark integration h2o pysparkling rsparkling
  Scala Apache-2.0 355 855 2 6 Updated Jun 26, 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 32 80 1 0 Updated Jun 25, 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 4 10 10 6 Updated Jun 24, 2020

• h2o-droplets

  Templates for projects based on top of H2O.
  Java 34 33 0 4 Updated Jun 21, 2020

• h2o-meetups

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

  h2o presentations meetups h2oai
  Jupyter Notebook 201 396 0 1 Updated Jun 18, 2020

• CRAFT-pytorch

  Forked from clovaai/CRAFT-pytorch

  Official implementation of Character Region Awareness for Text Detection (CRAFT)
  Python 408 0 0 0 Updated Jun 18, 2020

• qcon2015

  Repository for SF QConf 2015 Workshop
  Java Apache-2.0 10 17 0 1 Updated Jun 18, 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 945 1,229 26 9 Updated Jun 18, 2020

• unilm

  Forked from microsoft/unilm

  UniLM - Unified Language Model Pre-training / Pre-training for NLP and Beyond
  Python 233 0 0 0 Updated Jun 17, 2020

• drift

  Forked from micahstubbs/drift

  an ES2015 port of h2o-flow
  JavaScript 1 0 0 1 Updated Jun 17, 2020

• h2o-2

  Please visit https://github.com/h2oai/h2o-3 for latest H2O
  Java Apache-2.0 596 2,252 6 10 Updated Jun 18, 2020

• javacpp

  Forked from bytedeco/javacpp

  The missing bridge between Java and native C++
  Java 440 0 0 5 Updated Jun 17, 2020

• perrier

  Forked from apache/spark

  Perrier - A blend of Spark & H2O <This is no longer a dependency for SparklingWater
  Scala Apache-2.0 21,943 6 0 5 Updated Jun 17, 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++ 7,562 37 6 7 Updated Jun 17, 2020

• h2o-flow

  Web based interactive computing environment for H2O
  CoffeeScript MIT 59 115 2 8 Updated Jun 17, 2020

• h2o-world-2014-training

  training material
  Java 35 46 2 7 Updated Jun 17, 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 2,950 3 0 0 Updated Jun 16, 2020

• H2O-LightGBM-CUDA

  Forked from bordaw/H2O-LightGBM-CUDA

  CUDA Implementation for the H2O version of the LightGBM package
  C++ MIT 3 2 0 0 Updated Jun 10, 2020

• interpretable_machine_learning_with_python

  Forked from jphall663/interpretable_machine_learning_with_python

  Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
  Jupyter Notebook 149 2 0 0 Updated Jun 4, 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
  63 256 0 0 Updated Jun 3, 2020

• h2o-automl-paper

  H2O AutoML paper

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

• shap

  Forked from slundberg/shap

  A game theoretic approach to explain the output of any machine learning model.
  Jupyter Notebook MIT 1,324 0 0 0 Updated May 26, 2020

• covid19-datasets
  3 14 0 0 Updated May 26, 2020

• mli-resources

  H2O.ai Machine Learning Interpretability Resources

  python data-science machine-learning data-mining h2o xgboost transparency
  Jupyter Notebook 108 384 4 0 Updated May 22, 2020

• driverlessai-tutorials

  H2OAI Driverless AI Code Samples and Tutorials
  Jupyter Notebook 18 31 10 4 Updated May 20, 2020