Topic: mcmc Goto Github
Some thing interesting about mcmc
Some thing interesting about mcmc
mcmc,Bayesian Data Analysis demos for Python
User: avehtari
Home Page: https://avehtari.github.io/BDA_course_Aalto/demos.html#BDA_Python_demos
mcmc,Bayesian Data Analysis demos for R
User: avehtari
Home Page: https://avehtari.github.io/BDA_course_Aalto/demos.html
mcmc,A Bayesian Analysis Toolkit in Julia
Organization: bat
mcmc,Bayesian Evolutionary Analysis Sampling Trees
Organization: beast-dev
Home Page: http://beast.community
mcmc,ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.
Organization: cdslaborg
Home Page: https://www.cdslab.org/paramonte
mcmc,A batteries-included toolkit for the GPU-accelerated OpenMM molecular simulation engine.
Organization: choderalab
Home Page: http://openmmtools.readthedocs.io
mcmc,MCMC sample analysis, kernel densities, plotting, and GUI
User: cmbant
mcmc,Bayesian Evolutionary Analysis by Sampling Trees
Organization: compevol
Home Page: www.beast2.org
mcmc,The Python ensemble sampling toolkit for affine-invariant MCMC
User: dfm
Home Page: https://emcee.readthedocs.io
mcmc,Fast & scalable MCMC for all your exoplanet needs!
Organization: exoplanet-dev
Home Page: https://docs.exoplanet.codes
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
mcmc,DGMs for NLP. A roadmap.
User: franxyao
mcmc,A list of Python-based MCMC & ABC packages
User: gabriel-p
Home Page: https://gabriel-p.github.io/pythonMCMC/
mcmc,GPstuff - Gaussian process models for Bayesian analysis
Organization: gpstuff-dev
Home Page: http://research.cs.aalto.fi/pml/software/gpstuff/
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
mcmc,Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
User: javierantoran
mcmc,Implementation of Markov Chain Monte Carlo in Python from scratch
User: joseph94m
mcmc,Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
User: jwarmenhoven
mcmc,Normalizing-flow enhanced sampling package for probabilistic inference in Jax
User: kazewong
Home Page: https://flowmc.readthedocs.io/en/main/
mcmc,A C++ library of Markov Chain Monte Carlo (MCMC) methods
User: kthohr
Home Page: https://mcmclib.readthedocs.io/en/latest/
mcmc,Manifold Markov chain Monte Carlo methods in Python
User: matt-graham
Home Page: https://matt-graham.github.io/mici/
mcmc,Bayesian Learning course at Stockholm University
User: mattiasvillani
mcmc,Use MCMC to analyze districting plans and gerrymanders
Organization: mggg
Home Page: https://mggg.github.io/GerryChain/
mcmc,⚡️ zeus: Lightning Fast MCMC ⚡️
User: minaskar
Home Page: https://zeus-mcmc.readthedocs.io/
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
mcmc,A statistical toolbox for diffusion processes and stochastic differential equations. Named after the Brownian Bridge.
User: mschauer
mcmc,Bitmap generation from a single example with convolutions and MCMC
User: mxgmn
mcmc,The base NIMBLE package for R
Organization: nimble-dev
Home Page: http://R-nimble.org
mcmc,Owl - OCaml Scientific Computing @ https://ocaml.xyz
Organization: owlbarn
mcmc,Bayesian Modeling and Probabilistic Programming in Python
Organization: pymc-devs
Home Page: https://docs.pymc.io/
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
mcmc,Implementing MCMC sampling from scratch in R for various Bayesian models
User: stablemarkets
Home Page: https://stablemarkets.wordpress.com/
mcmc,bayesplot R package for plotting Bayesian models
Organization: stan-dev
Home Page: https://mc-stan.org/bayesplot
mcmc,CmdStanR: the R interface to CmdStan
Organization: stan-dev
Home Page: https://mc-stan.org/cmdstanr/
mcmc,RStan, the R interface to Stan
Organization: stan-dev
Home Page: https://mc-stan.org
mcmc,shinystan R package and ShinyStan GUI
Organization: stan-dev
Home Page: https://mc-stan.org/shinystan
mcmc,StatisticalRethinking notebook project using Turing and Pluto notebooks (derived from Max Lapan's Jupyter project)
Organization: statisticalrethinkingjulia
mcmc,Julia package with selected functions in the R package `rethinking`. Used in the SR2... projects.
Organization: statisticalrethinkingjulia
mcmc,Implementations of the models from the Statistical Rethinking book with Turing.jl
Organization: statisticalrethinkingjulia
Home Page: https://statisticalrethinkingjulia.github.io/TuringModels.jl/
mcmc,PhyML -- Phylogenetic estimation using (Maximum) Likelihood
User: stephaneguindon
mcmc,Robust, modular and efficient implementation of advanced Hamiltonian Monte Carlo algorithms
Organization: turinglang
Home Page: https://turinglang.org/AdvancedHMC.jl/
mcmc,Types and utility functions for summarizing Markov chain Monte Carlo simulations
Organization: turinglang
Home Page: https://turinglang.org/MCMCChains.jl/
mcmc,Bayesian inference with probabilistic programming.
Organization: turinglang
Home Page: https://turinglang.org
mcmc,High-performance Bayesian Data Analysis on the GPU in Clojure
Organization: uncomplicate
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
mcmc,Collection of probabilistic models and inference algorithms
User: wiseodd
Home Page: https://wiseodd.github.io
mcmc,Boltzmann Machines in TensorFlow with examples
User: yell
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