| Name | Version | Summary | date |
| numpyro_schechter |
1.1.0 |
Schechter galaxy luminosity distribution for NumPyro. |
2025-08-21 05:12:41 |
| chromasurr |
0.1.1 |
Surrogate modeling and Bayesian calibration of chromatographic processes using CADET and Gaussian Processes. |
2025-08-17 13:50:41 |
| BayesMCDM |
0.1.1.59 |
Bayesian Multi-Criteria Decision-Making Toolkit |
2025-08-12 08:40:48 |
| emdcmp |
1.1.1 |
Original implementation of the EMD (empirical model discrepancy) model comparison criterion |
2025-08-06 08:33:30 |
| pandecay |
1.1.0 |
Phylogenetic Analysis using Decay Indices |
2025-08-04 10:17:12 |
| biolith |
0.0.9 |
Bayesian Ecological Modeling in Python |
2025-07-21 05:10:18 |
| HSSM |
0.2.8 |
Bayesian inference for hierarchical sequential sampling models. |
2025-07-21 01:58:54 |
| probabilistic-quantum-reasoner |
1.0.0 |
A quantum-classical hybrid reasoning engine for uncertainty-aware AI inference |
2025-07-16 04:22:22 |
| slimp |
1.0.0 |
Linear models with Stan and Pandas |
2025-02-10 21:08:01 |
| threeML |
2.4.3 |
The Multi-Mission Maximum Likelihood framework |
2025-02-06 21:23:06 |
| exotic |
4.3.1 |
EXOTIC: EXOplanet Transit Interpretation Code |
2025-01-31 01:17:06 |
| climate-trace |
0.4.0 |
A package for loading and analyzing data from the Climate TRACE consortium. |
2024-12-19 13:25:21 |
| dynesty |
2.1.5 |
A dynamic nested sampling package for computing Bayesian posteriors and evidences. |
2024-12-17 20:07:48 |
| raynest |
1.0.6 |
raynest: Parallel nested sampling based on ray |
2024-11-21 15:22:06 |
| linear_segment |
1.2.1 |
Python package for Bayesian Change Point and Circular Binary Segmentation |
2024-11-20 22:22:41 |
| gemlib |
0.12.1 |
GEMlib scientific compute library for epidemic modelling |
2024-11-12 05:27:28 |
| geobipy |
2.3.1 |
McMC inversion of airborne electromagnetic data |
2024-10-10 02:12:17 |
| optimas |
0.7.1 |
Optimization at scale, powered by libEnsemble |
2024-09-20 21:16:10 |
| dataprob |
0.9.4 |
Do likelihood based parameter estimation using maximum likeihood and bayesian methods |
2024-09-18 03:53:21 |
| dive-EPR |
0.2.1 |
Python package for Bayesian analysis of dipolar EPR spectroscopy data through Markov chain Monte Carlo sampling with PyMC. |
2024-08-14 16:46:36 |