272 Open source projects that are alternatives of or similar to Ggmcmc

Bayesian Data Analysis demos for R

Bayesian Data Analysis demos for Python

shinystan R package and ShinyStan GUI

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RStan, the R interface to Stan

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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.

rstanarm R package for Bayesian applied regression modeling

Make a sweet giant triangle confusogram (GTC) plot

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loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)

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PyStan, the Python interface to Stan

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A compiler for Bayesian time series models.

Bayesian methods in deep learning Summer School

Code for modelling estimated deaths and cases for COVID19.

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"Basic data viz" & "Advancing with data viz in R using ggplot2" for Boston University's "Data+Narrative" workshop

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Additional themes, scales, and geoms for ggplot2

Projection predictive variable selection

Matlab interface to Stan, a package for Bayesian inference

Combining waffle plot with geofacet

📍 Repel overlapping text labels away from each other.

Gathers Machine learning models using pure Numpy to cover feed-forward, RNN, CNN, clustering, MCMC, timeseries, tree-based, and so much more!

Tidy Model Visualisation for Generalised Additive Models

RStudio add-in to make plots with ggplot2

Owl - OCaml Scientific and Engineering Computing @ http://ocaml.xyz

An experiment in R to color overimposed sudokus

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R package to generate colors from a list of 44 pre-defined palettes

Rank-normalization, folding, and localization: An improved R-hat for assessing convergence of MCMC

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

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🔏 Opinionated, typographic-centric ggplot2 themes and theme components

A port of ggplot2 for Nim

ParaMonte: Plain Powerful Parallel Monte Carlo and MCMC Library for Python, MATLAB, Fortran, C++, C.

The posterior R package

ggplot2 extension for plotting distributions

brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan

A novel probabilistic approach to explicitly model overdispersion and sampling zeros in 16S rRNA sequencing data by considering the temporal correlation between nearby time points using Gaussian Processes

State space models (dynamic linear models, hidden Markov models) implemented in Stan.

Grammar of Graph Graphics

Venn Diagram by ggplot2, with really easy-to-use API.

Soccer Analytics in R using OPTA data

Boltzmann Machines in TensorFlow with examples

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Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath

Themes for ggplot2.