| Name | Version | Summary | date |
| otsvm |
0.15.post1 |
SVM module |
2024-11-25 13:50:14 |
| otrobopt |
0.15.post1 |
Robust optimization module |
2024-11-25 13:50:13 |
| otmorris |
0.17.post1 |
Morris module |
2024-11-25 13:50:10 |
| openturns |
1.24 |
Uncertainty treatment library |
2024-11-25 13:50:07 |
| otmixmod |
0.18.post1 |
Mixmod module |
2024-11-25 13:41:57 |
| otfftw |
0.16.post1 |
FFTW module |
2024-11-25 13:41:56 |
| psimpy |
0.2.0 |
Predictive and probabilistic simulation tools. |
2024-01-26 15:44:37 |
| pymetamodels |
0.0.3 |
The pymetamodels package combines machine learning (ML) metamodeling and analysis tools for the virtual development of modeling systems within a common abstract framework implemented in an accessible and distributable Python package. This package is oriented to support ML applications in material science, material informatics and the construction of materials, components and systems soft metamodels informed by hard physics-based modelling and experimental characterisations. |
2024-01-09 14:35:00 |
| pstr |
0.0.48 |
pstr |
2023-12-05 21:02:47 |
| otsubsetinverse |
1.10 |
Inverse subset module |
2023-06-21 11:43:28 |
| combipyroc |
0.1.1a0 |
Find the best combination of biomarkers in case-control experiment |
2023-04-28 13:34:11 |