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 | 1078 | 136 | 33 |
| https://github.com/deeplearning4j/.eclipsefdn | 5 | 0 | 0 |
| https://github.com/deeplearning4j/deeplearning4j-examples | 0 | 0 | 3 |
There have been 1083 commits made by 8 people on 2 repositories over the last 12 months.
There have been 36 issues submitted by 26 people on 2 repositories over the last 12 months.
There have been 136 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
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:
