| Name | Version | Summary | date |
|---|---|---|---|
| amisc | 0.2.1 | Adaptive multi-index stochastic collocation (surrogates) for metamodeling of multidisciplinary systems | 2024-01-30 16:54:02 |
| 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 |
| hour | day | week | total |
|---|---|---|---|
| 106 | 2105 | 10986 | 207744 |