GitHub topics: posterior
bat/BAT.jl
A Bayesian Analysis Toolkit in Julia
Language: Julia - Size: 19.8 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 216 - Forks: 32

stan-dev/posteriordb
Database with posteriors of interest for Bayesian inference
Language: Stan - Size: 71.4 MB - Last synced at: 7 days ago - Pushed at: about 1 month ago - Stars: 200 - Forks: 40

paulnorthrop/revdbayes
Ratio-of-Uniforms Sampling for Bayesian Extreme Value Analysis
Language: R - Size: 256 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 4 - Forks: 2

JBris/stan-cmdstanr-gpu-docker
A Docker image to run Stan, cmdstanr, and brms for Bayesian statistical modelling. GPU support using OpenCL is available.
Language: Dockerfile - Size: 32.2 KB - Last synced at: 5 days ago - Pushed at: 5 months ago - Stars: 5 - Forks: 0

abhiagwl/vistan
A simple library to run variational inference on Stan models.
Language: Python - Size: 280 KB - Last synced at: 28 days ago - Pushed at: about 2 years ago - Stars: 30 - Forks: 3

PolyChord/PolyChordLite
Public version of PolyChord: See polychord.co.uk for PolyChordPro
Language: Fortran - Size: 1.48 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 86 - Forks: 28

thomasjdelaney/Multiscale
Project for fitting a multiscale model as described in Kolaczyk et al 2000.
Language: Python - Size: 3.87 MB - Last synced at: 7 months ago - Pushed at: over 6 years ago - Stars: 2 - Forks: 0

balazsrobi/bayesianneuralnetworks
Two different classification task solved with bayesian neural networks using PyMC3 as part of my MSc thesis. It was inspired by Thomas Wiecki blog post, thanks for his contribution.
Language: Jupyter Notebook - Size: 912 KB - Last synced at: over 1 year ago - Pushed at: about 7 years ago - Stars: 0 - Forks: 0

faezehabibi66/MAP-Maximum-A-Posteriori-Estimation
Estimating Boston Housing using Maximum A Posteriori Estimation
Language: Python - Size: 56.6 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0
