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This is a community-driven collection of resources around amortized inference.
A collection of visual guides to help applied scientists learn causal inference.
Easily combine predictions from multiple Bayesian models using techniques including (pseudo) Bayesian model averaging, hierarchical stacking, and more!
Forecasting Functions for Time Series and Linear Models
Automatic forecasting and Bayesian modeling for time series with Stan
The statistical language R compiled to WebAssembly via Emscripten, for use in web browsers and Node.
A modern Anki custom scheduling based on Free Spaced Repetition Scheduler algorithm
High performance Python GLMs with all the features!
patrickbarks / zscorer
Forked from nutriverse/zscorerAnthropometric z-score calculator
A light weight Python library for the Spotify Web API
Partial Multiple Imputation with Variational Autoencoders (PMIVAE)
R package cross-validation, bootstrap, permutation, and rolling window resampling techniques for the tidyverse.
Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.
loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)
🐈🐈🐈🐈: tools for working with categorical variables (factors)
A compendium of absurd "open-source" licenses.
A serializable note sequence representation and utilities.
Slides and exercises for the video tutorial at https://shiny.rstudio.com/tutorial/
A short course on Julia and open-source software development