| Name | Version | Summary | date |
| tfp-nightly |
0.25.0.dev20240426 |
Probabilistic modeling and statistical inference in TensorFlow |
2024-04-26 08:44:17 |
| welford-remove |
0.1 |
Python (numpy) implementation of Welford's algorithm with the ability to remove data points. |
2024-04-23 03:10:57 |
| pymer4 |
0.8.2 |
pymer4: all the convenience of lme4 in python |
2024-04-07 02:24:15 |
| statstables |
0.0a1 |
A package for making custom LaTeX and HTML statistical tables |
2024-04-06 21:53:04 |
| stat-analysis |
1.0.0 |
A Python library providing hands on implementation of a collection of common statistical methods for data analysis. |
2024-04-04 19:33:43 |
| ftw.contentstats |
1.4.0 |
Collect and display content statistics for Plone sites |
2024-04-04 11:42:32 |
| danatools |
0.1.1 |
A bunch of convenient tools to analyze data |
2024-03-31 02:21:07 |
| slimp |
0.4.0 |
Linear models with Stan and Pandas |
2024-03-30 13:15:28 |
| verticapy |
1.0.3 |
VerticaPy simplifies data exploration, data cleaning, and machine learning in Vertica. |
2024-03-29 17:14:47 |
| minihmm |
0.3.3 |
Lightweight extensible HMM engine, supporting univariate or multivariate, continuous or discrete emissions |
2024-03-28 01:18:13 |
| autobnn |
0.0.2.dev0 |
Package for training Gaussian process-like Bayesian Neural Networks with composite structure. |
2024-03-28 00:19:39 |
| fastkde |
2.0.1 |
Tools for fast and robust univariate and multivariate kernel density estimation |
2024-03-27 17:35:15 |
| pyp-beagle |
0.10.17 |
Package for post-processing of results obtained with the Beagle SED fitting tool |
2024-03-26 11:48:08 |
| rsklpr |
0.7.0 |
Implementation of the Robust Local Polynomial Regression with Similarity Kernel draft paper |
2024-03-25 02:26:00 |
| ICPy |
0.0.6 |
Invariant Causal Prediction for python |
2024-03-22 15:21:20 |
| nutpie |
0.10.0 |
Sample Stan or PyMC models |
2024-03-20 22:20:00 |
| georasters |
0.5.29 |
Tools for working with Geographical Information System Rasters |
2024-03-19 20:44:49 |
| Missing-Value |
0.2.5 |
Python class for imputing missing values in data columns using various imputation strategies based on data types. |
2024-03-18 17:46:01 |
| resourcecode |
1.1.3 |
The ResourceCODE Marine Data Toolbox is a python package to facilitate the access to recent hindcast database of sea-state , along with a set of state-of-the-art methods for data analysis. |
2024-03-18 10:30:45 |
| ab-testing-module |
3.1.7 |
The AB Testing Module is a comprehensive suite designed for analyzing and reporting A/B test experiments, featuring functions for statistical analysis, advanced modeling, and data visualization to transform experimental results into actionable insights. |
2024-03-18 08:25:19 |