121 Open source projects that are alternatives of or similar to Modelselection

A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.

Bayesian Data Analysis demos for Python

CmdStanR: the R interface to CmdStan

Matlab interface to Stan, a package for Bayesian inference

Bayesian Generalized Linear Models with Time-Varying Coefficients

rstanarm R package for Bayesian applied regression modeling

Bindings for Bayesian TidyModels

shinystan R package and ShinyStan GUI

bayesplot R package for plotting Bayesian models

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.

Bayesian Data Analysis demos for R

Reproducible Bayesian data analysis pipelines with targets and cmdstanr

Bayesian spatial analysis

Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. Now almost entirely superseded by the models-by-example repo.

Uses Stan sampler and math library to semiparametrically fit linear and multilevel models with additive Bayesian Additive Regression Tree (BART) components.

Projection predictive variable selection

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

PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty

RStan, the R interface to Stan

The Stan Math Library is a C++ template library for automatic differentiation of any order using forward, reverse, and mixed modes. It includes a range of built-in functions for probabilistic modeling, linear algebra, and equation solving.

GPstuff - Gaussian process models for Bayesian analysis

'Visualization in Bayesian workflow' by Gabry, Simpson, Vehtari, Betancourt, and Gelman. (JRSS discussion paper and code)

A collection of Bayesian data analysis recipes using PyMC3

Python package for Bayesian Machine Learning with scikit-learn API

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

A python library for Bayesian time series modeling

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

The posterior R package

📜 🎉 Automated reporting of objects in R

Inference case studies in knitr

Bayesian analysis + tidy data + geoms (R package)

Bayesian multi-object tracking

Graphical tools for analyzing Markov Chain Monte Carlo simulations from Bayesian inference

C++ template library for probabilistic programming

High-performance Bayesian Data Analysis on the GPU in Clojure

How to do Bayesian statistical modelling using numpy and PyMC3

An interactive online reading of McElreath's Statistical Rethinking

Seminars DeepBayes Summer School 2018

GemPy is an open-source, Python-based 3-D structural geological modeling software, which allows the implicit (i.e. automatic) creation of complex geological models from interface and orientation data. It also offers support for stochastic modeling to adress parameter and model uncertainties.

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

Estimate Realtime Case Counts and Time-varying Epidemiological Parameters

👻 Utilities for analyzing Bayesian models and posterior distributions

"What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?", NIPS 2017 (unofficial code).

CmdStan.jl v6 provides an alternative, older Julia wrapper to Stan's `cmdstan` executable.

Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

A PureScript, browser-based implementation of LDA topic modeling.

Code for modelling estimated deaths and cases for COVID19.

A fast approximation to a Dirichlet Process Mixture model (DPM) for clustering genetic data

Implementing MCMC sampling from scratch in R for various Bayesian models

PyStan, the Python interface to Stan

Material for AMLD 2020 workshop "Bayesian Inference: embracing uncertainty"

library of C++ functions that support applications of Stan in Pharmacometrics

A general-purpose probabilistic programming system with programmable inference

STUN & TURN client demo and api with python and C

Deep universal probabilistic programming with Python and PyTorch

Bayesian SEIR model to estimate the effects of social-distancing on COVID-19

Full Bayesian Inference for Hidden Markov Models

A high-level Bayesian analysis API written in Python

Bayesian Segmentation of Spatial Transcriptomics Data

Materials of the Nordic Probabilistic AI School 2021.