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.
| Repository | Commits | Reviews | Issues |
|---|---|---|---|
| https://github.com/deeplearning4j/deeplearning4j | 1045 | 106 | 30 |
| https://github.com/deeplearning4j/deeplearning4j-examples | 8 | 9 | 1 |
| https://github.com/deeplearning4j/.eclipsefdn | 5 | 0 | 0 |
There have been 1058 commits made by 7 people on 3 repositories over the last 12 months.
There have been 31 issues submitted by 22 people on 2 repositories over the last 12 months.
There have been 115 reviews submitted by 6 people on 2 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
TruereadThis project has a total of 4 repositories in its associated GitHub organization deeplearning4j
.
The graph below outlines the percentange of repositories that have either defined a Branch Protection Rule or Repository Ruleset:
