| Name | Version | Summary | date |
| linear-segment |
1.1.0 |
Python package for Bayesian Change Point and Circular Binary Segmentation |
2023-05-04 20:42:12 |
| samppy |
1.3.0 |
Hamiltonian sampling and analysis of sampled distributions |
2023-04-17 00:38:20 |
| bayesian-models |
0.1.0 |
A package for building common bayesian models in pymc |
2023-04-05 09:14:06 |
| qdscreen |
0.6.4 |
Quasi-determinism screening for fast Bayesian Network Structure Learning (from T.Rahier's PhD thesis, 2018) |
2023-03-17 16:44:56 |
| pybbn |
3.2.3 |
Learning and Inference in Bayesian Belief Networks |
2023-02-01 01:02:57 |
| funsor |
0.4.5 |
A tensor-like library for functions and distributions |
2023-01-23 08:31:02 |
| jaxkern |
0.0.5 |
Kernels in Jax. |
2023-01-19 18:47:03 |
| AutoEMA |
0.0 |
Automated Experimental Modal Analysis using Bayesian Optimization |
2023-01-13 19:43:34 |
| gpjax-nightly |
0.5.8 |
Didactic Gaussian processes in Jax. |
2023-01-10 00:06:44 |
| jaxutils |
0.0.8 |
Utility functions for JaxGaussianProcesses |
2023-01-08 22:22:59 |
| JaxKern |
0.0.3 |
Kernels in Jax. |
2022-12-18 21:53:42 |
| GPJax |
0.5.5 |
Didactic Gaussian processes in Jax. |
2022-12-18 19:20:41 |
| JaxUtils |
0.0.3 |
Utility functions for JaxGaussianProcesses |
2022-12-16 14:24:23 |
| videpy |
0.0.10 |
Tools to handle samples posteriori from Stan (pystan) |
2022-12-08 18:32:35 |
| d3p |
0.2.0 |
Differentially-Private Probabilistic Programming using NumPyro and the differentially-private variational inference algorithm |
2022-12-01 11:31:08 |
| hyperopt |
0.2.7 |
Distributed Asynchronous Hyperparameter Optimization |
2021-11-17 10:05:51 |
| pyro-api |
0.1.2 |
Generic API for dispatch to Pyro backends. |
2020-05-15 16:17:41 |