H2O.ai
- Mountain View, CA
- http://h2o.ai
- h2ostream@googlegroups.com
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Pinned repositories
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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.
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datatable
data.table for Python
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sparkling-water
Sparkling Water provides H2O functionality inside Spark cluster
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driverlessai-recipes
Recipes for Driverless AI
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db-benchmark
reproducible benchmark of database-like ops
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dai-deployment-templates
Production ready templates for deploying Driverless AI (DAI) scorers.
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LightGBM
Forked from microsoft/LightGBMA 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.
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q-cypress
Cypress.io test automation for Q
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article-information-2019
Article for Special Edition of Information: Machine Learning with Python
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awesome-h2o
A curated list of research, applications and projects built using H2O Machine Learning
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tutorials
This is a repo for all the tutorials put out by H2O.ai. This includes learning paths for H2O-3, Driverless AI, Sparkling Water and more
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h2o-tutorials
Tutorials and training material for the H2O Machine Learning Platform
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xgboost
Forked from dmlc/xgboostScalable, 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
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mojoland
Testing ground to ensure mojos backward compatibility
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dai-deployment-examples
Examples for deploying Driverless AI (DAI) scorers.
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OpenBLAS
Forked from xianyi/OpenBLASOpenBLAS is an optimized BLAS library based on GotoBLAS2 1.13 BSD version.
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h2o-flow
Web based interactive computing environment for H2O
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driverlessai-tutorials
H2OAI Driverless AI Code Samples and Tutorials
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h2o-jenkins-pipeline-lib
Library of different Jenkins pipeline building blocks.
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xai_guidelines
Guidelines for the responsible use of explainable AI and machine learning
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target_encoding
Forked from KirillTushin/target_encodingThis package gives you the opportunity to use a Target mean Encoding.
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wildbook-recipes
recipes for wildbook

