stan-dev / pystan2Links
PyStan, the Python interface to Stan
☆927Updated 4 years ago
Alternatives and similar repositories for pystan2
Users that are interested in pystan2 are comparing it to the libraries listed below
Sorting:
- (Deprecated) Experimental PyMC interface for TensorFlow Probability. Official work on this project has been discontinued.☆712Updated 3 years ago
- THIS IS THE **OLD** PYMC PROJECT (VERSION 2). PLEASE USE PYMC INSTEAD:☆877Updated 4 years ago
- Render probabilistic graphical models using matplotlib☆680Updated this week
- Describing statistical models in Python using symbolic formulas☆968Updated last week
- BAyesian Model-Building Interface (Bambi) in Python.☆1,168Updated last week
- Bayesian Python: Bayesian inference tools for Python☆697Updated 8 months ago
- Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke☆903Updated 3 years ago
- Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. …☆2,666Updated last week
- Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath☆853Updated 5 years ago
- Tools for causal analysis☆1,076Updated 3 months ago
- [HELP REQUESTED] Generalized Additive Models in Python☆898Updated last year
- A Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines☆461Updated last year
- Python package for Bayesian Machine Learning with scikit-learn API☆519Updated 3 years ago
- Exploratory analysis of Bayesian models with Python☆1,695Updated 3 weeks ago
- PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io☆353Updated 11 months ago
- Bayesian Data Analysis demos for Python☆1,016Updated last year
- A collection of Bayesian data analysis recipes using PyMC3☆560Updated last year
- GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3☆327Updated 4 years ago
- Open source time series library for Python☆2,128Updated last year
- Sequential model-based optimization with a `scipy.optimize` interface☆2,775Updated last year
- A python port of the glmnet package for fitting generalized linear models via penalized maximum likelihood.☆266Updated 10 months ago
- MCMC samplers for Bayesian estimation in Python, including Metropolis-Hastings, NUTS, and Slice☆339Updated 2 years ago
- A library for defensive data analysis.☆500Updated 5 years ago
- Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimizati…☆1,394Updated 7 years ago
- ☆158Updated 2 years ago
- ☆760Updated last year
- Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models☆490Updated 7 years ago
- pymc-learn: Practical probabilistic machine learning in Python☆229Updated 4 years ago
- ELFI - Engine for Likelihood-Free Inference☆275Updated last month
- Hyper-parameter optimization for sklearn☆1,630Updated 2 months ago