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Analyzed 4 days ago. based on code collected 3 months ago.

Project Summary

Fast Scalable Machine Learning API For Smarter Applications (Deep Learning, GBM, GLM...)

H2O scales statistics, machine learning, and math over Big Data.

H2O uses familiar interfaces like R, Python, Scala, the Flow notebook graphical interface, Excel, & JSON so that Big Data enthusiasts & experts can explore, munge, model, and score datasets using a range of algorithms including advanced ones like Deep Learning. H2O is extensible so that developers can add data transformations and model algorithms of their choice and access them through all of those clients.

Data collection is easy. Decision making is hard. H2O makes it fast and easy to derive insights from your data through faster and better predictive modeling. H2O allows online scoring and modeling in a single platform.

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Languages

Languages?height=75&width=75
Java
43%
Python
23%
R
12%
13 Other
22%

30 Day Summary

Feb 8 2017 — Mar 10 2017

12 Month Summary

Mar 10 2016 — Mar 10 2017
  • 3832 Commits
    Down -8302 (68%) from previous 12 months
  • 69 Contributors
    Up + 1 (1%) from previous 12 months