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

Project ID: technology.deeplearning4j
PMI: https://projects.eclipse.org/projects/technology.deeplearning4j
Website: https://projects.eclipse.org/projects/technology.deeplearning4j
Download CSV: Commits , Issues , Reviews , IP Lab requests
Time range for commits: 2025-08-06 00:33:18 to 2026-08-12 15:22:20.
Time range for issues: 2025-08-05 20:34:46 to 2026-08-10 05:13:11.
Time range for reviews: 2025-09-25 23:44:48 to 2026-07-12 18:31:04.

Active repositories

Repository	Commits	Reviews	Issues
https://github.com/deeplearning4j/deeplearning4j	1408	127	29
https://github.com/deeplearning4j/deeplearning4j-examples	17	11	1

Activity - commits

There have been 1425 commits made by 4 people on 2 repositories over the last 12 months.

Activity - issues

There have been 30 issues submitted by 26 people on 2 repositories over the last 12 months.

Activity - reviews

There have been 138 reviews submitted by 5 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

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: