| Name | Version | Summary | date |
| getdist |
1.4.8 |
GetDist Monte Carlo sample analysis, plotting and GUI |
2024-04-13 08:26:48 |
| openmcmc |
1.0.4 |
openMCMC tools |
2024-03-13 10:26:20 |
| jax-chmc |
0.0.7 |
An implementation of a family of MCMC methods on implicitly defined manifolds |
2024-03-09 09:10:42 |
| blackjax |
1.1.1 |
Flexible and fast sampling in Python |
2024-02-21 10:51:58 |
| cobaya |
3.5 |
Code for Bayesian Analysis |
2024-02-19 17:15:53 |
| mcmc-samplers |
0.0.2 |
A Python package for MCMC sampling. |
2024-02-19 06:26:50 |
| ConfigModel-MCMC |
0.1.1 |
A tool for sampling networks from the Configuration model |
2024-02-13 02:10:23 |
| jaxampler |
0.0.7 |
A JAX-based statistical sampling toolkit |
2024-01-27 20:33:03 |
| mccube |
0.0.3 |
Markov chain cubature via JAX. |
2024-01-25 16:22:22 |
| HSSM |
0.2.0 |
Bayesian inference for hierarchical sequential sampling models. |
2024-01-19 14:50:35 |
| pyemcee |
0.2.6 |
pyemcee: Python implementation of the affine-invariant MCMC Hammer |
2023-12-22 19:18:34 |
| kernax |
0.1.9 |
Regularized Stein thinning using JAX |
2023-10-10 15:29:52 |
| lampe |
0.8.2 |
Likelihood-free AMortized Posterior Estimation with PyTorch |
2023-10-04 09:24:22 |
| jax_chmc |
0.0.5 |
An implementation of a family of MCMC methods on implicitly defined manifolds |
2023-09-20 16:26:59 |
| mici |
0.2.1 |
MCMC samplers based on simulating Hamiltonian dynamics on a manifold. |
2023-08-11 14:22:07 |
| evo-prot-grad |
0.1.4 |
Directed evolution of proteins with fast gradient-based discrete MCMC. |
2023-07-28 23:51:24 |
| ex2mcmc |
0.0.3 |
Local-Global MCMC kernels: the bost of both worlds (NeurIPS 2022) |
2023-04-20 14:31:47 |
| samppy |
1.3.0 |
Hamiltonian sampling and analysis of sampled distributions |
2023-04-17 00:38:20 |
| GetDist |
1.4.3 |
GetDist Monte Carlo sample analysis, plotting and GUI |
2023-03-29 16:22:24 |
| monte-library |
0.1.0 |
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. |
2023-03-20 14:26:37 |