Project roadmap, source repositories and latest releases for the AI/ML Evaluation Framework Reference Tools. Please refer to the Scope page for context on how these components fit together.
Roadmap
General Project Roadmap
The Kanban board below tracks the planned and in-progress work for the AI/ML Evaluation Framework (benchmarks, datasets, and traffic-evaluation tooling). It is maintained live on GitHub.
Related
- Scope: specifications in scope and implemented features.
- Resources: the source code (currently private — see the note there on requesting early access).
- Tutorials: no walkthrough here yet — points to the shared 6G Testbed tutorial.
Repositories
The following repositories are available. Please refer to the "Scope" section of the different projects for more context. When the automation has run, the table below lists each repository with its links and status.
This repository holds code related to the implementation of the AI/ML evaluation framework as defined in 3GPP SA4 TR 26.847 (Release 19, completed; supersedes the earlier, incomplete draft tracked as TR 26.927).
License5G-MAG PL v1.0Standards3GPPRuns onLinux
Note that these repositories are currently private and under testing. Request early access.
Releases
Latest releases across all AI/ML Evaluation repositories.
No release data available for this project yet — check the project's GitHub repositories directly in the meantime.