Repository for https://qiita.com/akeyhero/items/894dd3b5c206325191ce [Japanese]

Gaussian processes on graphs and lattices in Stan and pytorch.

Gaussian processes on graphs and lattices in Stan and pytorch.

A Dask powered HPC/cloud friendly interface for BridgeStan, CmdStanPy, and PyStan

Bayesian modeling solution to the OSIC pulmonary fibrosis competition in kaggle: https://www.kaggle.com/c/osic-pulmonary-fibrosis-progression

Conformal Bayesian Computation with Stan and Numba.

Probabilistic modeling through Bayesian inference using PyStan with demonstrative case study experiments from Christopher Bishop's Model-based Machine Learning.

implement machine learning models from scratch

Undermining the integrity of an office prediction contest

Profile Stan workloads

Play with Stan MC. Including some implementations of recent GP models

Bayesian inference on the COVID-19 infection mortality rate using JAGS and STAN.

Linear models with Stan and Pandas

Easy, minimal interface to the Stan samplers in several languages

A sklearn style interface to Stan regression models

A Dask and Ray powered tool to run Stan-based programs in the cloud

"Probabilistic Programming & Bayesian Methods for Hackers" book ported to Stan (python)

Effect Estimator By Incident Interval Count

Unofficial implementation of STAN paper published at ISBI 2020 by researchers from University of Idaho using Tensorflow Keras 2.0.

Preparing inputs to and reading outputs from Stan