mcmc
There are 672 repositories under mcmc topic.
pymc-devs/pymc
Bayesian Modeling and Probabilistic Programming in Python
pyro-ppl/numpyro
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
TuringLang/Turing.jl
Bayesian inference with probabilistic programming.
JavierAntoran/Bayesian-Neural-Networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
dfm/emcee
The Python ensemble sampling toolkit for affine-invariant MCMC
owlbarn/owl
Owl - OCaml Scientific Computing @ https://ocaml.xyz
stan-dev/rstan
RStan, the R interface to Stan
avehtari/BDA_py_demos
Bayesian Data Analysis demos for Python
yell/boltzmann-machines
Boltzmann Machines in TensorFlow with examples
mxgmn/ConvChain
Bitmap generation from a single example with convolutions and MCMC
JWarmenhoven/DBDA-python
Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
avehtari/BDA_R_demos
Bayesian Data Analysis demos for R
stan-dev/bayesplot
bayesplot R package for plotting Bayesian models
FranxYao/Deep-Generative-Models-for-Natural-Language-Processing
DGMs for NLP. A roadmap.
StatisticalRethinkingJulia/StatisticalRethinking.jl
Julia package with selected functions in the R package `rethinking`. Used in the SR2... projects.
uncomplicate/bayadera
High-performance Bayesian Data Analysis on the GPU in Clojure
wiseodd/MCMC
Collection of Monte Carlo (MC) and Markov Chain Monte Carlo (MCMC) algorithms applied on simple examples.
TuringLang/MCMCChains.jl
Types and utility functions for summarizing Markov chain Monte Carlo simulations
MLWhiz/data_science_blogs
A repository to keep track of all the code that I end up writing for my blog posts.
cdslaborg/paramonte
ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.
wiseodd/probabilistic-models
Collection of probabilistic models and inference algorithms
choderalab/openmmtools
A batteries-included toolkit for the GPU-accelerated OpenMM molecular simulation engine.
CompEvol/beast2
Bayesian Evolutionary Analysis by Sampling Trees
TuringLang/AdvancedHMC.jl
Robust, modular and efficient implementation of advanced Hamiltonian Monte Carlo algorithms
minaskar/zeus
⚡️ zeus: Lightning Fast MCMC ⚡️
StanJulia/Stan.jl
Stan.jl illustrates the usage of the 'single method' packages, e.g. StanSample, StanOptimize, etc.
matt-graham/mici
Manifold Markov chain Monte Carlo methods in Python
exoplanet-dev/exoplanet
Fast & scalable MCMC for all your exoplanet needs!
Joseph94m/MCMC
Implementation of Markov Chain Monte Carlo in Python from scratch
stan-dev/shinystan
shinystan R package and ShinyStan GUI
bat/BAT.jl
A Bayesian Analysis Toolkit in Julia
beast-dev/beast-mcmc
Bayesian Evolutionary Analysis Sampling Trees
kazewong/flowMC
Normalizing-flow enhanced sampling package for probabilistic inference in Jax
stephaneguindon/phyml
PhyML -- Phylogenetic estimation using (Maximum) Likelihood
gpstuff-dev/gpstuff
GPstuff - Gaussian process models for Bayesian analysis
stan-dev/posterior
The posterior R package