Eclipse Deeplearning4j

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.

Basics


Active repositories

Repository Commits Reviews Issues
https://github.com/deeplearning4j/deeplearning4j 1701 127 32
https://github.com/deeplearning4j/deeplearning4j-examples 17 11 1

Activity - commits

There have been 1718 commits made by 4 people on 2 repositories over the last 12 months.


Activity - issues

There have been 33 issues submitted by 26 people on 2 repositories over the last 12 months.


Activity - reviews

There have been 138 reviews submitted by 4 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


Releases


Reviews

  • Eclipse Deeplearning4j 2027.09 Progress (2027-09-01) – see review
  • Eclipse Deeplearning4j 2026.09 Progress (2026-12-02) – see review
  • Creation (2017-10-18) – see review

IP Lab requests

Organization Settings

  • GitHub organization: deeplearning4j
  • 2FA enforced: True
  • Default workflow permissions: read

Branch Protections

This 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: Branch protections