| Name | Version | Summary | date |
| GrainLearning |
2.0.4 |
A Bayesian uncertainty quantification toolbox for discrete and continuum numerical models of granular materials |
2025-01-28 21:16:09 |
| uq-physicell |
1.1.0 |
Project to perform uncertainty quantification of PhysiCell models |
2025-01-09 21:39:17 |
| gpyconform |
0.1.1 |
Extends GPyTorch with Gaussian Process Regression Conformal Prediction |
2024-12-09 12:31:26 |
| peak-performance |
0.7.1 |
A Python toolbox to fit chromatography peaks with uncertainty. |
2024-10-13 14:47:24 |
| vindy |
0.1.7 |
AESINDy is a Python package for automated system identification of low-dimensional systems combining autoencoders and SINDy. |
2024-07-29 06:54:26 |
| pytoughreact |
1.0.4 |
Python Library for automating reaction simulations using TOUGHREACT, TMVOC and TMVOC-BIO |
2024-04-08 04:12:25 |