A sklearn style interface to Stan regression models
BSD-3-CLAUSE License
Statsmodels: statistical modeling and econometrics in Python
A python tutorial on bayesian modeling techniques (PyMC3)
BridgeStan provides efficient in-memory access through Python, Julia, and R to the methods of a S...
Tools for diagnostics and assessment of (machine learning) models
Utilities for scikit-learn. Append prediction to x, append prediction to x single, append x predi...
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many hum...
Stan keywords and functions; used to create editor language modes and syntax highlighters
Exposing Stan functions in Python
Toolkit to forge scikit-learn compatible estimators
Easy, minimal interface to the Stan samplers in several languages
convenient python functions for bayesian GLMs (using Stan / PyStan)
Additional linear models including instrumental variable and panel data models that are missing f...
A Python package for Bayesian forecasting with object-oriented design and probabilistic models un...