| Name | Version | Summary | date |
| M-LOOP |
3.3.3 |
M-LOOP: Machine-learning online optimization package. A python package of automated optimization tools - enhanced with machine-learning - for quantum scientific experiments, computer controlled systems or other optimization tasks. |
2023-05-12 20:10:38 |
| ba-lorre |
1.0.2 |
A Python implementation of the Bees Algorithm based Local Optima Region Radius Extimator (BA-LORRE). This library allows an out-of-the-box use of the numerical optimisation algorithm on an user-defined target function. The algorithm can be configured to find the maxima of the target function with an iterative process. |
2023-01-23 00:35:30 |
| calliope |
0.6.10 |
A multi-scale energy systems modelling framework |
2023-01-18 15:55:57 |
| bees-algorithm |
1.0.2 |
A Python implementation of the Bees Algorithm. This library allows an out-of-the-box use of the optimisation algorithm on an user-defined target function. The algorithm can be configured to find either the minimum or the maximum of the target function with an iterative process. |
2022-12-27 16:17:11 |
| PySPG |
5.0.3 |
Python Systematic Parameter Generator |
2022-12-13 04:19:14 |