Eclipse Deeplearning4j enables developers and large organizations to build deep learning applications, covering the whole deep learning workflow from data preprocessing through distributed training and hyperparameter optimization and production-grade deployment.
Repo | Commits | Reviews | Issues |
---|---|---|---|
https://github.com/deeplearning4j/deeplearning4j | 1011 | 78 | 28 |
https://github.com/deeplearning4j/.eclipsefdn | 5 | 0 | 0 |
https://github.com/deeplearning4j/deeplearning4j-examples | 0 | 0 | 3 |
There have been 1016 commits made by 8 people on 2 repositories over the last 12 months.
There have been 31 issues submitted by 23 people on 2 repositories over the last 12 months.
There have been 78 reviews submitted by 8 people on 1 repositories over the last 12 months.
The EMO oversees the lifecycle of Eclipse projects, trademark and IP management, and provides a governance framework and recommendations on open source best practices.
See the project’s PMI page at https://projects.eclipse.org/projects/technology.deeplearning4j
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This project has a total of 4 repositories in its associated GitHub organization deeplearning4j
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