| Name | Version | Summary | date |
| tfp-nightly |
0.25.0.dev20240519 |
Probabilistic modeling and statistical inference in TensorFlow |
2024-05-19 08:44:26 |
| jaxutils-nightly |
0.0.8.dev20240519 |
Utility functions for JaxGaussianProcesses |
2024-05-19 00:06:48 |
| jaxkern-nightly |
0.0.5.dev20240519 |
Kernels in Jax. |
2024-05-19 00:05:13 |
| abc-network |
0.1.3 |
This package provides code linked to the paper "Multimorbidity analysis with low condition counts: a robust Bayesian approach for small but important subgroups" <https://authors.elsevier.com/sd/article/S2352396424001166>. |
2024-04-17 16:20:14 |
| pytagi |
0.1.7 |
Tractable Approximate Gaussian Inference |
2024-04-11 23:13:45 |
| autobnn |
0.0.2.dev0 |
Package for training Gaussian process-like Bayesian Neural Networks with composite structure. |
2024-03-28 00:19:39 |
| gpjax |
0.8.2 |
Gaussian processes in JAX. |
2024-03-23 09:28:04 |
| tensorflow-probability |
0.24.0 |
Probabilistic modeling and statistical inference in TensorFlow |
2024-03-12 19:43:39 |
| numpyro |
0.14.0 |
Pyro PPL on NumPy |
2024-03-03 17:54:33 |
| estival |
0.5.1 |
A set of calibration and probabilistic programming tools for use with summerepi2 |
2024-02-26 00:37:57 |
| EmaCalc |
1.1.1 |
Statistical Analysis of Ecological Momentary Assessment (EMA) Data |
2024-02-13 04:24:35 |
| mindfoundry-optaas-client |
1.4.4 |
Mind Foundry Optimization as a Service: Python Client |
2024-01-26 11:58:35 |
| mlmarketing |
0.0.1 |
Machine Learning for Marketing |
2024-01-21 14:20:44 |
| millipede-regression |
0.1.2 |
A library for bayesian variable selection |
2024-01-21 05:18:04 |
| pyopenbt |
0.0.8 |
python interface to openbt |
2024-01-03 17:05:37 |
| gammy |
0.5.3 |
Generalized additive models with a Bayesian twist |
2024-01-02 10:51:15 |
| CoBaIR |
4.0.3 |
CoBaIR is a Python library for Context Based Intention Recognition |
2023-12-20 09:18:17 |
| forestatrisk |
1.1.2 |
Modelling and forecasting deforestation in the tropics |
2023-12-19 04:43:37 |
| chirho |
0.2.0 |
Causal reasoning |
2023-12-11 12:12:20 |
| pairwise-ranking |
1.0.0 |
Infer strengths and rankings from paired comparisons |
2023-12-11 09:14:39 |