H2O.ai
- Mountain View, CA
- http://h2o.ai
- h2ostream@googlegroups.com
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Repositories
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sparkling-water
Sparkling Water provides H2O functionality inside Spark cluster
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h2o-3
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
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h2o-kubernetes
A command-line tool to ease deployment (and undeployment) of H2O open-source machine learning platform H2O-3 to Kubernetes.
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driverlessai-recipes
Recipes for Driverless AI
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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...
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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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db-benchmark
reproducible benchmark of database-like ops
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py-repo
Python package repository
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datatable
A Python package for manipulating 2-dimensional tabular data structures
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artifacts-repo
A simple artifacts exchange.
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dask-lightgbm
Forked from dask/dask-lightgbm -
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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dai-deployment-templates
Production ready templates for deploying Driverless AI (DAI) scorers.
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dask-pytorch
Forked from saturncloud/dask-pytorch-ddpdask-pytorch is a Python package that makes it easy to train PyTorch models on dask clusters using distributed data parallel.
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h2o-tutorials
Tutorials and training material for the H2O Machine Learning Platform
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awesome-h2o
A curated list of research, applications and projects built using the H2O Machine Learning platform
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H2O-LightGBM-CUDA
Forked from bordaw/H2O-LightGBM-CUDACUDA Implementation for the H2O version of the LightGBM package
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dai-deployment-examples
Examples 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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mojoland
Testing ground to ensure mojos backward compatibility
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