H2OAI
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Description
DSpace is open source software for deep learning programming
Demonstration video
Primary features
- Open source, in memory scalable machine learning
- Implemented on H2O's distributed Map/Reduce framework
- Data parser that guesses the schema of incoming datasets
- Supports data ingestion from multiple sources in various formats
Example use cases
More examples at http://docs.h2o.ai/h2o/latest-stable/index.html
Community
- Blog https://blog.h2o.ai/
See also
DSpace in Labs Workbench
Basic instructions for using H2O in Labs Workbench
- Add the H2O AI application
- Select Launch
- On the Labs Workbench Applications view, expand the "H2O" application and click "View Config" beside its "H2O" service
- You should see a generated value for ADMIN_PASSWD
- Once the application has started, expand the "DSpace" application and click the DSpace endpoint link
- You should then be able to log into H2O using your Labs Workbench account's e-mail and the generated password