Topic: mcmc Goto Github

👇 Here are 657 public repositories matching this topic...

avehtari / bda_py_demos
mcmc,Bayesian Data Analysis demos for Python
User: avehtari
Home Page: https://avehtari.github.io/BDA_course_Aalto/demos.html#BDA_Python_demos
bayesian bayesian-data-analysis bayesian-inference mcmc python stan

avehtari / bda_r_demos
mcmc,Bayesian Data Analysis demos for R
User: avehtari
Home Page: https://avehtari.github.io/BDA_course_Aalto/demos.html
bayesian bayesian-data-analysis bayesian-inference mcmc monte-carlo r stan

bat / bat.jl
mcmc,A Bayesian Analysis Toolkit in Julia
Organization: bat
julia statistics bayesian-inference bayesian-statistics mcmc machine-learning prior posterior

beast-dev / beast-mcmc
mcmc,Bayesian Evolutionary Analysis Sampling Trees
Organization: beast-dev
Home Page: http://beast.community
beast java bayesian-analysis mcmc phylogenetics evolution

cdslaborg / paramonte
mcmc,ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.
Organization: cdslaborg
Home Page: https://www.cdslab.org/paramonte
monte-carlo markov-chain adaptive-learning bayesian-inference bayesian-statistics machine-learning machine-learning-algorithms machine-learning-library sampling c cpp fortran python matlab monte-carlo-simulations mpi mcmc openmp numerical-integration

choderalab / openmmtools
mcmc,A batteries-included toolkit for the GPU-accelerated OpenMM molecular simulation engine.
Organization: choderalab
Home Page: http://openmmtools.readthedocs.io
openmm molecular-dynamics alchemical-free-energy-calculations integrators free-energy-calculations molecular-simulations python mcmc markov-chain-monte-carlo replica-exchange

cmbant / getdist
mcmc,MCMC sample analysis, kernel densities, plotting, and GUI
User: cmbant
contour-plot kernel-density-estimation mcmc plotting-in-python sampling-methods statistical-inference

compevol / beast2
mcmc,Bayesian Evolutionary Analysis by Sampling Trees
Organization: compevol
Home Page: www.beast2.org
phylogenetics bayesian-inference mcmc beast java evolution

dfm / emcee
mcmc,The Python ensemble sampling toolkit for affine-invariant MCMC
User: dfm
Home Page: https://emcee.readthedocs.io
python mcmc mcmc-sampler probabilistic-data-analysis

exoplanet-dev / exoplanet
mcmc,Fast & scalable MCMC for all your exoplanet needs!
Organization: exoplanet-dev
Home Page: https://docs.exoplanet.codes
exoplanet exoplanet-transits exoplanet-radial-velocities mcmc gaussian-processes bayesian-inference pymc3 time-series time-series-analysis astronomy

florianhartig / bayesiantools
mcmc,General-Purpose MCMC and SMC Samplers and Tools for Bayesian Statistics
User: florianhartig
Home Page: https://cran.r-project.org/web/packages/BayesianTools/index.html
bayes cran ecological-models mcmc optimization smc systems-biology

franxyao / deep-generative-models-for-natural-language-processing
mcmc,DGMs for NLP. A roadmap.
User: franxyao
generative-model generative-text text-generation generative-models latent-variable-models variational-inference variational-autoencoders generative-adversarial-networks normalizing-flows parsing

gabriel-p / pythonmcmc
mcmc,A list of Python-based MCMC & ABC packages
User: gabriel-p
Home Page: https://gabriel-p.github.io/pythonMCMC/
bayesian-inference mcmc abc-algorithm python

gpstuff-dev / gpstuff
mcmc,GPstuff - Gaussian process models for Bayesian analysis
Organization: gpstuff-dev
Home Page: http://research.cs.aalto.fi/pml/software/gpstuff/
bayesian bayesian-inference bayesian-optimization classification covariance-functions expectation-propagation gaussian-processes mcmc octave regression spatial-analysis survival-analysis variational-inference

huseinzol05 / machine-learning-numpy
mcmc,Gathers Machine learning models using pure Numpy to cover feed-forward, RNN, CNN, clustering, MCMC, timeseries, tree-based, and so much more!
User: huseinzol05
machine-learning-algorithms gradient-descent evolution-strategies stock-market-monte-carlo monte-carlo mcmc deep-learning-scratch feed-forward-scratch rnn-scratch cnn-scratch

javierantoran / bayesian-neural-networks
mcmc,Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
User: javierantoran
deep-learning bayesian-inference pytorch reproducible-research bayesian-neural-networks bayes-by-backprop mc-dropout mcmc variational-inference kronecker-factored-approximation

joseph94m / mcmc
mcmc,Implementation of Markov Chain Monte Carlo in Python from scratch
User: joseph94m
machine-learning mcmc markov-chain-monte-carlo metropolis-hastings bayesian-inference

jwarmenhoven / dbda-python
mcmc,Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
User: jwarmenhoven
bayesian-data-analysis bayesian-inference pymc3 mcmc hierarchical-models kruschke probabilistic-programming

kazewong / flowmc
mcmc,Normalizing-flow enhanced sampling package for probabilistic inference in Jax
User: kazewong
Home Page: https://flowmc.readthedocs.io/en/main/
jax mcmc normalizing-flows stat

kthohr / mcmc
mcmc,A C++ library of Markov Chain Monte Carlo (MCMC) methods
User: kthohr
Home Page: https://mcmclib.readthedocs.io/en/latest/
cpp cpp11 mcmc metropolis-hastings hmc mala de differential-evolution langevin-diffusion riemannian-manifold

matt-graham / mici
mcmc,Manifold Markov chain Monte Carlo methods in Python
User: matt-graham
Home Page: https://matt-graham.github.io/mici/
hamiltonian-monte-carlo hmc mcmc hybrid-monte-carlo markov-chain-monte-carlo python inference-algorithms

mattiasvillani / bayeslearncourse
mcmc,Bayesian Learning course at Stockholm University
User: mattiasvillani
statistics teaching bayesian mcmc

mggg / gerrychain
mcmc,Use MCMC to analyze districting plans and gerrymanders
Organization: mggg
Home Page: https://mggg.github.io/GerryChain/
mcmc gerrymandering python gis

minaskar / zeus
mcmc,⚡️ zeus: Lightning Fast MCMC ⚡️
User: minaskar
Home Page: https://zeus-mcmc.readthedocs.io/
mcmc mcmc-sampler bayesian-inference inference machine-learning sampling sampling-methods general-purpose black-box-bayesian-inference probabilistic-data-analysis

mlwhiz / data_science_blogs
mcmc,A repository to keep track of all the code that I end up writing for my blog posts.
User: mlwhiz
Home Page: https://medium.com/@rahul_agarwal
blogging chatbot data datascience gan graphs machine-learning mcmc python spark streamlit time-series xgboost

mschauer / bridge.jl
mcmc,A statistical toolbox for diffusion processes and stochastic differential equations. Named after the Brownian Bridge.
User: mschauer
diffusion julia stochastic-differential-equations mcmc bayesian-inference sde brownian-motion diffusion-processes simulating-diffusion-bridges gamma-process

mxgmn / convchain
mcmc,Bitmap generation from a single example with convolutions and MCMC
User: mxgmn
algorithm convchain csharp gamedev machine-learning mcmc procedural-generation texture-synthesis

nimble-dev / nimble
mcmc,The base NIMBLE package for R
Organization: nimble-dev
Home Page: http://R-nimble.org
bayesian-inference mcmc hierarchical-models probabilistic-programming bayesian-methods r

owlbarn / owl
mcmc,Owl - OCaml Scientific Computing @ https://ocaml.xyz
Organization: owlbarn
algorithmic-differentation autograd automatic-differentiation gsl linear-algebra machine-learning maths matrix mcmc ndarray neural-network numerical-calculations optimization plotting regression scientific-computing sparse-linear-systems statistical-functions statistics topic-modeling

pymc-devs / pymc
mcmc,Bayesian Modeling and Probabilistic Programming in Python
Organization: pymc-devs
Home Page: https://docs.pymc.io/
bayesian-inference mcmc probabilistic-programming pytensor python statistical-analysis variational-inference

pyro-ppl / numpyro
mcmc,Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
Organization: pyro-ppl
Home Page: https://num.pyro.ai
bayesian-inference hmc inference-algorithms jax mcmc numpy probabilistic-programming pyro

stablemarkets / bayesiantutorials
mcmc,Implementing MCMC sampling from scratch in R for various Bayesian models
User: stablemarkets
Home Page: https://stablemarkets.wordpress.com/
bayesian bayesian-linear-regression gibbs mcmc metropolis-hastings

stan-dev / bayesplot
mcmc,bayesplot R package for plotting Bayesian models
Organization: stan-dev
Home Page: https://mc-stan.org/bayesplot
pandoc r-package statistical-graphics stan bayesian ggplot2 visualization mcmc

stan-dev / cmdstanr
mcmc,CmdStanR: the R interface to CmdStan
Organization: stan-dev
Home Page: https://mc-stan.org/cmdstanr/
r-package stan bayesian mcmc variational-inference maximum-likelihood markov-chain-monte-carlo bayes

stan-dev / posterior
mcmc,The posterior R package
Organization: stan-dev
Home Page: https://mc-stan.org/posterior/
r-package bayesian mcmc bayes

stan-dev / rstan
mcmc,RStan, the R interface to Stan
Organization: stan-dev
Home Page: https://mc-stan.org
stan mcmc bayesian-inference bayesian-data-analysis bayesian-statistics r r-package

stan-dev / shinystan
mcmc,shinystan R package and ShinyStan GUI
Organization: stan-dev
Home Page: https://mc-stan.org/shinystan
stan mcmc r-package statistical-graphics shiny-apps r bayesian bayesian-statistics bayesian-inference bayesian-data-analysis

stanjulia / stan.jl
mcmc,Stan.jl illustrates the usage of the 'single method' packages, e.g. StanSample, StanOptimize, etc.
Organization: stanjulia
julia mcmc stan

statisticalrethinkingjulia / sr2turingpluto.jl
mcmc,StatisticalRethinking notebook project using Turing and Pluto notebooks (derived from Max Lapan's Jupyter project)
Organization: statisticalrethinkingjulia
julia-project mcmc pluto-notebooks statistical-rethinking turing

statisticalrethinkingjulia / statisticalrethinking.jl
mcmc,Julia package with selected functions in the R package `rethinking`. Used in the SR2... projects.
Organization: statisticalrethinkingjulia
julia-package mcmc regression-models statistical-rethinking

statisticalrethinkingjulia / turingmodels.jl
mcmc,Implementations of the models from the Statistical Rethinking book with Turing.jl
Organization: statisticalrethinkingjulia
Home Page: https://statisticalrethinkingjulia.github.io/TuringModels.jl/
mcmc julia-language turinglang statisticalrethinking turing franklin

stephaneguindon / phyml
mcmc,PhyML -- Phylogenetic estimation using (Maximum) Likelihood
User: stephaneguindon
mcmc phylogenetics evolution

turinglang / advancedhmc.jl
mcmc,Robust, modular and efficient implementation of advanced Hamiltonian Monte Carlo algorithms
Organization: turinglang
Home Page: https://turinglang.org/AdvancedHMC.jl/
hmc nuts hamiltonian-monte-carlo mcmc

turinglang / mcmcchains.jl
mcmc,Types and utility functions for summarizing Markov chain Monte Carlo simulations
Organization: turinglang
Home Page: https://turinglang.org/MCMCChains.jl/
julia-language markov-chain mcmc

turinglang / turing.jl
mcmc,Bayesian inference with probabilistic programming.
Organization: turinglang
Home Page: https://turinglang.org
machine-learning probabilistic-programming julia-language artificial-intelligence bayesian-inference hamiltonian-monte-carlo turing bayesian-statistics mcmc hmc probabilistic-graphical-models probabilistic-models probabilistic-inference bayesian-neural-networks

uncomplicate / bayadera
mcmc,High-performance Bayesian Data Analysis on the GPU in Clojure
Organization: uncomplicate
clojure bayesian-inference bayesian-data-analysis gpu-computing gpu-acceleration statistics machine-learning clojure-library bayesian opencl

wiseodd / mcmc
mcmc,Collection of Monte Carlo (MC) and Markov Chain Monte Carlo (MCMC) algorithms applied on simple examples.
User: wiseodd
Home Page: https://wiseodd.github.io
bayesian-inference machine-learning markov-chain-monte-carlo mcmc sampling-methods

wiseodd / probabilistic-models
mcmc,Collection of probabilistic models and inference algorithms
User: wiseodd
Home Page: https://wiseodd.github.io
probabilistic-models python machine-learning bayesian bayesian-inference mcmc gibbs-sampling variational-inference dirichlet-process

xfim / ggmcmc
mcmc,Graphical tools for analyzing Markov Chain Monte Carlo simulations from Bayesian inference
User: xfim
r graphical bayesian-data-analysis ggplot2 mcmc stan jags

yell / boltzmann-machines
mcmc,Boltzmann Machines in TensorFlow with examples
User: yell
ais annealed-importance-sampling boltzmann-machines contrastive-divergence-algorithm dbm deep-learning energy-based-model gibbs-sampling keras machine-learning