| Name | Version | Summary | date |
| svy |
0.0.1 |
Design and analysis of complex sample data |
2025-07-26 20:29:42 |
| pymc-extras |
0.4.0 |
A home for new additions to PyMC, which may include unusual probability distribitions, advanced model fitting algorithms, or any code that may be inappropriate to include in the pymc repository, but may want to be made available to users. |
2025-07-21 02:55:32 |
| adao |
9.15.0.1 |
ADAO: A module for Data Assimilation and Optimization |
2025-07-19 15:12:55 |
| imsane |
0.0.2 |
A collection of sane implementations of linear operators and various algorithms in sampling and optimization implemented in python/pytorch. |
2025-07-11 19:27:21 |
| polytopewalk |
1.0.24 |
Open Source Implementation of MCMC Polytope Walks |
2025-04-22 23:36:16 |
| cobaya |
3.5.6 |
Code for Bayesian Analysis |
2025-03-21 11:28:30 |
| samplics |
0.4.44 |
Select, weight and analyze complex sample data |
2025-02-26 21:53:32 |
| bspline-sampler |
0.2.1 |
A simple tool for sampling B-spline coefficients distributed as Gaussian Random Fields, subject to constraints. |
2025-02-12 00:55:23 |
| blackjax |
1.2.5 |
Flexible and fast sampling in Python |
2025-02-07 12:41:17 |
| npycomp |
0.2.0 |
A Python library for NP-complete reductions. |
2025-02-01 04:02:47 |
| pykp |
4.1.1 |
Tooling for sampling and solving instances of the 0-1 Knapsack Problem. |
2025-01-29 03:53:24 |
| pyinstrument |
5.0.1 |
Call stack profiler for Python. Shows you why your code is slow! |
2025-01-23 14:55:47 |
| pypesto |
0.5.5 |
python-based Parameter EStimation TOolbox |
2025-01-13 14:46:45 |
| mate-selection |
0.1.1 |
A collection of mate selection methods for evolutionary algorithms |
2024-11-26 22:27:13 |
| raynest |
1.0.6 |
raynest: Parallel nested sampling based on ray |
2024-11-21 15:22:06 |
| mici |
0.3.0 |
MCMC samplers based on simulating Hamiltonian dynamics on a manifold. |
2024-10-07 16:24:37 |
| CMBPAInT |
0.1.2 |
A Python package to inpaint Cosmic Microwave Background (CMB) intensity and polarization maps. |
2024-09-24 21:46:09 |
| 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 |
| multi-column-distribution-sampler |
0.0.1 |
Distribution based sampling for multiple categorical columms |
2024-06-17 02:19:53 |
| lintsampler |
0.3.0 |
Efficient random sampling via linear interpolation. |
2024-06-14 10:22:11 |