| Name | Version | Summary | date |
| numcmctools |
1.0.0 |
MCMC plotting framework for official results from neutrino oscillation experiments |
2024-10-17 16:12:08 |
| mici |
0.3.0 |
MCMC samplers based on simulating Hamiltonian dynamics on a manifold. |
2024-10-07 16:24:37 |
| blackjax |
1.2.4 |
Flexible and fast sampling in Python |
2024-09-30 20:08:05 |
| numpyro-oop |
0.0.2 |
A convenient object-oriented wrapper for working with numpyro models. |
2024-09-25 19:40:34 |
| HSSM |
0.2.4 |
Bayesian inference for hierarchical sequential sampling models. |
2024-09-18 23:31:00 |
| dataprob |
0.9.4 |
Do likelihood based parameter estimation using maximum likeihood and bayesian methods |
2024-09-18 03:53:21 |
| monte-library |
0.2.0 |
monte-library is a set of Monte Carlo methods in Python. The package is written to be flexible, clear to understand and encompass variety of Monte Carlo methods. |
2024-09-18 01:55:30 |
| cobaya |
3.5.4 |
Code for Bayesian Analysis |
2024-08-15 07:01:45 |
| 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 |
| lampe |
0.9.0 |
Likelihood-free AMortized Posterior Estimation with PyTorch |
2024-07-20 21:52:17 |
| evo-prot-grad |
0.2 |
Directed evolution of proteins with fast gradient-based discrete MCMC. |
2024-07-10 22:52:50 |
| openmcmc |
1.0.5 |
openMCMC tools |
2024-07-02 06:48:23 |
| cobaya-cosmo |
0.1 |
Cosmological codes, wrappers and links to external packages for the Cobaya package |
2024-06-18 10:31:46 |
| cobaya-utilities |
0.3.1 |
A set of functions to deal with MCMC output from cobaya |
2024-04-20 16:27:54 |
| blackjax-nightly |
1.1.1.post7 |
Flexible and fast sampling in Python |
2024-04-08 11:36:09 |
| apollinaire |
1.3.1 |
Module for helio- and asteroseismic data analysis. |
2024-03-29 08:49:26 |