261 Open source projects that are alternatives of or similar to lgpr

The Trendiness of Trends

Fast & scalable MCMC for all your exoplanet needs!

rstanarm R package for Bayesian applied regression modeling

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 Now almost entirely superseded by the models-by-example repo.

Forecasting 🇫🇷 elections with Bayesian statistics 🥳

Estimate Realtime Case Counts and Time-varying Epidemiological Parameters

Stanマニュアルの日本語への翻訳プロジェクト

Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)

GPstuff - Gaussian process models for Bayesian analysis

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

Probabilistic Programming with Gaussian processes in Julia

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

Machine learning, in numpy

A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation

Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB

Bayesian spatial analysis

Projection predictive variable selection

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.

A didactic Gaussian process package for researchers in Jax.

Bayesian Data Analysis demos for R

RStan, the R interface to Stan

Fast and Easy Infinite Neural Networks in Python

This contains a number of IP[y]: Notebooks that hopefully give a light to areas of bayesian machine learning.

shinystan R package and ShinyStan GUI

This repository contains morden baysian statistics and deep learning based research articles , software for survival analysis

Probabilistic Programming with Gaussian processes in Julia

A Python package for approximate Bayesian inference and optimization using Gaussian processes

Bayesian Data Analysis demos for Python

Noisy network measurement with stan

Bayesian Coherent Point Drift (BCPD/BCPD++); Source Code Available

Fast inference for Gaussian processes in problems involving time. Partly built on results from https://proceedings.mlr.press/v161/tebbutt21a.html

Bayesian Model Averaging for Random and Fixed Effects Meta-Analysis

R pipeline for computing persistent homology in topological data analysis. See https://doi.org/10.21105/joss.00860 for more details.

A Latent Dirichlet Allocation implementation in Python.

UAI 2015. Kernel-based just-in-time learning for expectation propagation

Deodorant: Solving the problems of Bayesian Optimization

Fit models to data from unmarked animals using Stan. Uses a similar interface to the R package 'unmarked', while providing the advantages of Bayesian inference and allowing estimation of random effects.

Bayesian tools for fitting molecular mechanics torsion parameters to quantum chemical data.

Xie's R Archive Network (experimental and for my personal interest only)

Reproducible Bayesian data analysis pipelines with targets and cmdstanr

Pure julia implementation of Multiple Affine Invariant Sampling for efficient Approximate Bayesian Computation

Multi-core BUGS for fast Bayesian inference of large hierarchical models

Implementation of normalising flows and constrained random variable transformations

A collection of Methods and Models for various architectures of Artificial Neural Networks

Interactive visualization of Gaussian processes

Combining tree-boosting with Gaussian process and mixed effects models

Bayesian inference for Gaussian mixture model with some novel algorithms

Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)

Material for a workshop on Bayesian stats with R

Nested Sampling post-processing and plotting

Material for a Bayesian statistics workshop

Bayesian Generalized Linear Models with Time-Varying Coefficients

This code uses the algebra solver in Stan (https://mc-stan.org/) to find the parameters of a distribution that produce a desired tail behavior.

🐙 Generalized additive models in Python with a Bayesian twist

Simultaneous Localization and Mapping(SLAM) also gives you a way to track the location of a robot in the world in real-time and identify the locations of landmarks such as buildings, trees, rocks, and other world features.

Data-driven Network-based Bayesian Inference of Drivers

🎓 Uni-Bonn Decision Analysis graduate course, lectures and materials

This is a Project Page of 'Towards a complete 3D morphable model of the human head'

Parallel nested sampling

Bindings for Bayesian TidyModels