| Name | Version | Summary | date |
| homodyne-analysis |
0.6.9 |
High-performance Python package for analyzing homodyne scattering in X-ray Photon Correlation Spectroscopy (XPCS) under nonequilibrium conditions with iterative Gurobi optimization and robust methods |
2025-08-27 21:30:31 |
| ThermoBuilPy |
0.0.1 |
ToDo |
2025-08-25 18:23:19 |
| cvxpy-translation |
2.0.0 |
Translate CVXPY problems into solvers' native models |
2025-08-23 21:45:41 |
| opti-extensions |
1.2.0 |
A collection of custom data structures and user-friendly functions for mathematical optimization modeling with DOcplex, gurobipy, and Xpress. |
2025-07-28 06:19:30 |
| nextmv-scikit-learn |
0.3.1 |
An SDK for integrating scikit-learn with the Nextmv platform |
2025-07-10 20:21:17 |
| nextmv-gurobipy |
0.4.2 |
An SDK for integrating Gurobi with the Nextmv platform |
2025-07-10 20:19:04 |
| cvxpy-gurobi |
1.1.0 |
Translate CVXPY problems into gurobipy models |
2024-12-01 09:36:30 |
| gurobi-machinelearning |
1.5.2 |
package to insert ML models in Gurobi |
2024-11-09 14:37:57 |
| MilPython |
0.5.0 |
Framework for building MILP optimizations for time series with gurobipy |
2024-09-24 14:03:22 |
| gMCSpy |
1.1.0 |
gMCSpy is a python package for the calculation of Genetic Minimal Cut sets (GMCS). In simple terms the idea is to take a metabolic model and calculate the genetic vulnerabilities that will render the biomass production impossible. This is done through a Mixed-Integer Linear problem (MILP) formultion and the use of a linear solver. |
2024-08-05 11:14:02 |