Geoff — The Generic Optimization Framework and Frontend
Geoff is a framework of Python packages that harmonizes access to various methods of machine learning and numerical optimization, and to ease the transition towards and between them. Its focus lies on gradient-free evaluation of black-box functions, a typical use case in particle accelerator control. It has been open-sourced to facilitate cooperation between accelerator laboratories. Developments are carried out through a collaboration between GSI and CERN under the umbrella of the EURO-LABS project. The plugin API is documented here . A mirror of the canonical repository exists on Github .
Resource information
- Format
- whl
- Original repository
- 15442390
- DOI
- 10.5281/zenodo.15442390
- Credit basis
- Creators in Zenodo record metadata
- Access
- Open files available from the original Zenodo deposit
- Last checked
- Nov 5, 2026
- License
- Not specified
- Last record update
- Nov 5, 2026
About this resource
Geoff is a framework of Python packages that harmonizes access to various methods of machine learning and numerical optimization, and to ease the transition towards and between them. Its focus lies on gradient-free evaluation of black-box functions, a typical use case in particle accelerator control. It has been open-sourced to facilitate cooperation between accelerator laboratories. Developments are carried out through a collaboration between GSI and CERN under the umbrella of the EURO-LABS project. The plugin API is documented here . A mirror of the canonical repository exists on Github .