Reverse Dependencies of pystan

The following projects have a declared dependency on pystan:

• abracadabra — Making hypothesis and AB testing magically simple!
• anomaly-detection-framework — Anomaly Detection Framework allows us to calculate Anomalities on any Time - Series Data Sets. It has an interface which is easy to manage to train - predict with given dataset.
• autoforecast — AutoML time series forecasting
• bab — Bayesian estimation for A / B testing
• backfillz — MCMC visualisations package developed at the University of Warwick and supported by The Alan Turing Institute.
• bayestestimation — Class method for Bayesian estimation and comparison of means
• bqme — Bayesian Quanile Matching Estimation
• censor-fix — A library for multiple imputation of censored data
• covid_sicr — Global estimation of unobserved COVID-19 infection
• dashstan — Dashboard for Stan MCMC simulations.
• dSreg — Joint inference of alternative splicing and regulatory changes
• forecastga — A Python tool to forecast GA data using several popular timeseries models
• greykite — A python package for flexible forecasting
• hbayesdm — Python interface for hBayesDM, hierarchical Bayesian modeling of RL-DM tasks
• hts-forecast — AUTO HIERARCHIAL TIME SERIES FORECASTING
• jrpystan — Jumping Rivers: Introduction to Bayesian inference using PyStan
• judgyprophet — Forecasting for knowable future events using Bayesian informative priors (forecasting with judgmental-adjustment).
• jupyterstan — Magics for defining stan code in notebooks.
• kats — kats: kit to analyze time series
• lightwood — Lightwood is Legos for Machine Learning.
• mangoml — Simple Machine Learning library
• molflux — A foundational package for molecular predictive modelling
• nseta — Library to scan, analyse and predict financial data from National Stock Exchange (NSE - India) in pandas dataframe
• ollin — Animal Motion Simulator
• pairwise-ranking — Infer rankings and nature of hierarchies from paired comparisons
• phylostan — Phylogenetic inference with Stan
• pints — Probabilistic Inference in Noisy Time-Series
• pplbench — Evaluation framework for probabilistic programming languages
• prophetable — Run Prophet forcasting models from config files.
• pybrms — Pythonic interface to the brms R package
• PyMARE — PyMARE: Python Meta-Analysis & Regression Engine
• pypillometry — Pupillometry in Python.
• quantumtw — It's my toy project
• rlssm — rlssm: a package for fitting RL models, SSM, and combinations of the two
• runml-infuse — Algorithms for outlier detection, concept drift and metrics.
• sam-anomaly-detector — Sam media anomaly detector library
• scikit-hts — Hierarchical Time Series forecasting
• sfdc-merlion — Merlion: A Machine Learning Framework for Time Series Intelligence
• simpleconjoint — A package to perform conjoint in Python
• simplifiedmc — A CLI that simplifies the usage of MCMC methods.
• soam — Tools for time series analysis, plotting and reporting.
• spatialcorr-sim — SpatialCorr
• stan-utility — Helper routines for pystan based off @betanalphas stan_utility
• stein-thinning — Optimally compress sampling algorithm outputs
• streamlit-prophet — Deploy a Streamlit app to train, evaluate and optimize a Prophet forecasting model visually.
• tcup — no summary
• TIStan — Adaptively annealed thermodynamic integration with Stan
• vf-forecaster — A portable optimized time-series forecasting framework for Python
• viabel — Efficient, lightweight variational inference and approximation bounds
• vistan — Library to run VI algorithms on Stan models.