| Name | Version | Summary | date |
| polytopewalk |
1.0.16 |
Open Source Implementation of MCMC Polytope Walks |
2024-12-10 23:37:31 |
| stein-thinning |
0.2.0 |
Optimally compress sampling algorithm outputs |
2024-11-17 14:03:35 |
| getdist |
1.5.3 |
GetDist Monte Carlo sample analysis, plotting and GUI |
2024-10-02 08:54:15 |
| tensiometer |
1.0.2 |
Tension tools for posterior distributions |
2024-09-29 20:48:23 |
| jax-chmc |
0.0.7 |
An implementation of a family of MCMC methods on implicitly defined manifolds |
2024-03-09 09:10:42 |
| 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 |
| 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 |
| jax_chmc |
0.0.5 |
An implementation of a family of MCMC methods on implicitly defined manifolds |
2023-09-20 16:26:59 |
| 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 |
| spotpy |
1.6.2 |
A Statistical Parameter Optimization Tool. |
2023-02-28 09:27:54 |
| aemcmc |
0.0.7 |
Miscellaneous MCMC samplers written in Aesara |
2023-01-04 22:10:00 |
| aemcmc-nightly |
0.0.6 |
Miscellaneous MCMC samplers written in Aesara |
2022-11-27 19:13:11 |