Mamba.jl
MCMC platform
A platform for implementing and applying Markov chain Monte Carlo methods to Bayesian analysis
Markov chain Monte Carlo (MCMC) for Bayesian analysis in julia
255 stars
17 watching
50 forks
Language: Julia
last commit: about 3 years ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
| MCMC algorithms implemented in Julia for Bayesian modeling | 35 |
| Software toolbox for Bayesian inference on sequential data using Markov chain Monte Carlo methods. | 79 |
| A Matlab toolbox for Bayesian analysis using Markov chain Monte Carlo simulation | 88 |
| An MCMC sampler library for Bayesian estimation using Python | 331 |
| A Python toolkit for ensemble sampling in Markov chain Monte Carlo (MCMC) methods | 1,478 |
| A Monte Carlo simulation of the NBA season leveraging dbt, duckdb and evidence.dev for data analytics and business intelligence | 461 |
| A monadic probabilistic programming framework for Bayesian modelling and inference in C#. | 96 |
| A Python library providing approximate inference methods for Bayesian Hidden Markov Models and their extensions. | 549 |
| Tools and methods for Bayesian deep learning using probabilistic programming. | 328 |
| A Julia package for representing and working with probabilistic graphical models. | 219 |
| A Matlab toolbox for Bayesian estimation and model comparison using MCMC methods | 42 |
| Realizes an algorithm from a Bayesian face recognition paper using Matlab. | 36 |
| A collection of Python packages implementing Bayesian machine learning algorithms with scikit-learn API | 514 |
| A Julia framework for building and analyzing probabilistic graphical models. | 52 |
| An introduction to Bayesian methods and probabilistic programming for software developers | 26,868 |