Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
Projects in Awesome Lists tagged with mcmc
A curated list of projects in awesome lists tagged with mcmc .
https://github.com/pymc-devs/pymc
Bayesian Modeling and Probabilistic Programming in Python
bayesian-inference mcmc probabilistic-programming pytensor python statistical-analysis variational-inference
Last synced: 29 Sep 2024
https://github.com/pymc-devs/pymc3
Bayesian Modeling and Probabilistic Programming in Python
bayesian-inference mcmc probabilistic-programming pytensor python statistical-analysis variational-inference
Last synced: 04 Aug 2024
https://github.com/pyro-ppl/numpyro
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
bayesian-inference hmc inference-algorithms jax mcmc numpy probabilistic-programming pyro
Last synced: 01 Oct 2024
https://github.com/turinglang/turing.jl
Bayesian inference with probabilistic programming.
artificial-intelligence bayesian-inference bayesian-neural-networks bayesian-statistics hacktoberfest hamiltonian-monte-carlo hmc julia-language machine-learning mcmc probabilistic-graphical-models probabilistic-inference probabilistic-models probabilistic-programming turing
Last synced: 30 Sep 2024
https://github.com/TuringLang/Turing.jl
Bayesian inference with probabilistic programming.
artificial-intelligence bayesian-inference bayesian-neural-networks bayesian-statistics hamiltonian-monte-carlo hmc julia-language machine-learning mcmc probabilistic-graphical-models probabilistic-inference probabilistic-models probabilistic-programming turing
Last synced: 31 Jul 2024
https://github.com/javierantoran/bayesian-neural-networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
approximate-inference bayes-by-backprop bayesian-inference bayesian-neural-networks classification deep-learning hmc kronecker-factored-approximation langevin-dynamics local-reparametrization-trick mc-dropout mcmc out-of-distribution-detection pytorch regression reproducible-research sgld uncertainty uncertainty-neural-networks variational-inference
Last synced: 30 Sep 2024
https://github.com/JavierAntoran/Bayesian-Neural-Networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
approximate-inference bayes-by-backprop bayesian-inference bayesian-neural-networks classification deep-learning hmc kronecker-factored-approximation langevin-dynamics local-reparametrization-trick mc-dropout mcmc out-of-distribution-detection pytorch regression reproducible-research sgld uncertainty uncertainty-neural-networks variational-inference
Last synced: 02 Aug 2024
https://github.com/dfm/emcee
The Python ensemble sampling toolkit for affine-invariant MCMC
mcmc mcmc-sampler probabilistic-data-analysis python
Last synced: 30 Sep 2024
https://github.com/owlbarn/owl
Owl - OCaml Scientific Computing @ https://ocaml.xyz
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
Last synced: 30 Sep 2024
https://github.com/stan-dev/rstan
RStan, the R interface to Stan
bayesian-data-analysis bayesian-inference bayesian-statistics mcmc r r-package stan
Last synced: 30 Sep 2024
https://github.com/avehtari/BDA_py_demos
Bayesian Data Analysis demos for Python
bayesian bayesian-data-analysis bayesian-inference mcmc python stan
Last synced: 07 Aug 2024
https://github.com/yell/boltzmann-machines
Boltzmann Machines in TensorFlow with examples
ais annealed-importance-sampling boltzmann-machines contrastive-divergence-algorithm dbm deep-learning energy-based-model gibbs-sampling keras machine-learning mcmc pcd rbm restricted-boltzmann-machine sklearn-compatible tensorflow tensorflow-models variational-inference
Last synced: 29 Sep 2024
https://github.com/JWarmenhoven/DBDA-python
Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
bayesian-data-analysis bayesian-inference hierarchical-models kruschke mcmc probabilistic-programming pymc3
Last synced: 30 Jul 2024
https://github.com/avehtari/BDA_R_demos
Bayesian Data Analysis demos for R
bayesian bayesian-data-analysis bayesian-inference mcmc monte-carlo r stan
Last synced: 30 Jul 2024
https://github.com/stan-dev/bayesplot
bayesplot R package for plotting Bayesian models
bayesian ggplot2 mcmc pandoc r-package stan statistical-graphics visualization
Last synced: 30 Jul 2024
https://github.com/franxyao/Deep-Generative-Models-for-Natural-Language-Processing
DGMs for NLP. A roadmap.
approximate-inference decoding discrete-structures generative-adversarial-networks generative-model generative-models generative-text gradient-estimation graphical-models language-model latent-variable-models markov-chain-monte-carlo mcmc natural-language-processing normalizing-flows parsing structured-prediction text-generation variational-autoencoders variational-inference
Last synced: 02 Aug 2024
https://github.com/StatisticalRethinkingJulia/StatisticalRethinking.jl
Julia package with selected functions in the R package `rethinking`. Used in the SR2... projects.
julia-package mcmc regression-models statistical-rethinking
Last synced: 02 Aug 2024
https://github.com/uncomplicate/bayadera
High-performance Bayesian Data Analysis on the GPU in Clojure
bayesian bayesian-data-analysis bayesian-inference clojure clojure-library cuda gpu gpu-acceleration gpu-computing high-performance-computing machine-learning markov-chain-monte-carlo mcmc opencl statistics
Last synced: 02 Aug 2024
https://github.com/wiseodd/MCMC
Collection of Monte Carlo (MC) and Markov Chain Monte Carlo (MCMC) algorithms applied on simple examples.
bayesian-inference machine-learning markov-chain-monte-carlo mcmc sampling-methods
Last synced: 02 Aug 2024
https://github.com/turinglang/mcmcchains.jl
Types and utility functions for summarizing Markov chain Monte Carlo simulations
julia-language markov-chain mcmc
Last synced: 29 Sep 2024
https://github.com/TuringLang/MCMCChains.jl
Types and utility functions for summarizing Markov chain Monte Carlo simulations
julia-language markov-chain mcmc
Last synced: 31 Jul 2024
https://github.com/mlwhiz/data_science_blogs
A repository to keep track of all the code that I end up writing for my blog posts.
blogging chatbot data datascience gan graphs machine-learning mcmc python spark streamlit time-series xgboost
Last synced: 26 Sep 2024
https://github.com/MLWhiz/data_science_blogs
A repository to keep track of all the code that I end up writing for my blog posts.
blogging chatbot data datascience gan graphs machine-learning mcmc python spark streamlit time-series xgboost
Last synced: 02 Aug 2024
https://github.com/minaskar/zeus
⚡️ zeus: Lightning Fast MCMC ⚡️
bayesian-inference black-box-bayesian-inference general-purpose inference machine-learning mcmc mcmc-sampler probabilistic-data-analysis python sampling sampling-methods
Last synced: 05 Aug 2024
https://github.com/TuringLang/AdvancedHMC.jl
Robust, modular and efficient implementation of advanced Hamiltonian Monte Carlo algorithms
hamiltonian-monte-carlo hmc mcmc nuts
Last synced: 31 Jul 2024
https://github.com/matt-graham/mici
Manifold Markov chain Monte Carlo methods in Python
hamiltonian-monte-carlo hmc hybrid-monte-carlo inference-algorithms markov-chain-monte-carlo mcmc python
Last synced: 02 Aug 2024
https://github.com/StanJulia/Stan.jl
Stan.jl illustrates the usage of the 'single method' packages, e.g. StanSample, StanOptimize, etc.
Last synced: 04 Aug 2024
https://github.com/stan-dev/shinystan
shinystan R package and ShinyStan GUI
bayesian bayesian-data-analysis bayesian-inference bayesian-methods bayesian-statistics mcmc r r-package shiny-apps stan statistical-graphics
Last synced: 13 Aug 2024
https://github.com/kazewong/flowMC
Normalizing-flow enhanced sampling package for probabilistic inference in Jax
jax mcmc normalizing-flows stat
Last synced: 31 Jul 2024
https://github.com/statisticalrethinkingjulia/turingmodels.jl
Implementations of the models from the Statistical Rethinking book with Turing.jl
franklin julia-language mcmc statisticalrethinking turing turinglang
Last synced: 29 Sep 2024
https://github.com/nimble-dev/nimble
The base NIMBLE package for R
bayesian-inference bayesian-methods hierarchical-models mcmc probabilistic-programming r
Last synced: 02 Oct 2024
https://github.com/stan-dev/cmdstanr
CmdStanR: the R interface to CmdStan
bayesian markov-chain-monte-carlo maximum-likelihood mcmc r-package stan variational-inference
Last synced: 13 Aug 2024
https://github.com/cmbant/getdist
MCMC sample analysis, kernel densities, plotting, and GUI
contour-plot kernel-density-estimation mcmc plotting-in-python sampling-methods statistical-inference
Last synced: 05 Aug 2024
https://github.com/mschauer/bridge.jl
A statistical toolbox for diffusion processes and stochastic differential equations. Named after the Brownian Bridge.
bayesian-inference brownian-motion diffusion diffusion-processes gamma-process julia levy-process mcmc ornstein-uhlenbeck sde simulating-diffusion-bridges stochastic-differential-equations vasicek
Last synced: 29 Sep 2024
https://github.com/TuringLang/AdvancedMH.jl
Robust implementation for random-walk Metropolis-Hastings algorithms
adaptive-mcmc mcmc metropolis-hastings
Last synced: 31 Jul 2024
https://github.com/m-clark/bayesian-basics
:no_entry_sign: :leftwards_arrow_with_hook: A document that introduces Bayesian data analysis.
bayesian bayesian-analysis bayesian-data-analysis bayesian-inference bayesian-methods bayesian-statistics brms gibbs hamiltonian-monte-carlo likelihood mcmc metropolis-hastings posterior-predictive posterior-probability prior r regression-models rstan rstanarm stan
Last synced: 02 Aug 2024
https://github.com/turinglang/turingglm.jl
Bayesian Generalized Linear models using `@formula` syntax.
bayesian-inference bayesian-statistics hmc julia-language mcmc turing
Last synced: 29 Sep 2024
https://github.com/Starfish-develop/Starfish
Tools for Flexible Spectroscopic Inference
astronomy astrophysics inference mcmc python spectra starfish
Last synced: 03 Aug 2024
https://github.com/saforem2/l2hmc-qcd
Application of the L2HMC algorithm to simulations in lattice QCD.
deep-learning deepspeed gauge-theory hamiltonian-monte-carlo hmc horovod hydra lattice lattice-qcd machine-learning mcmc monte-carlo pytorch tensorflow
Last synced: 31 Jul 2024
https://github.com/handley-lab/anesthetic
Nested Sampling post-processing and plotting
bayesian-inference fastkde matplotlib mcmc nested-sampling numpy pandas samples scipy
Last synced: 30 Sep 2024
https://github.com/eigenfoo/littlemcmc
A lightweight and performant implementation of HMC and NUTS in Python, spun out of the PyMC project.
hmc markov-chain-monte-carlo mcmc nuts python
Last synced: 05 Aug 2024
https://github.com/helske/walker
Bayesian Generalized Linear Models with Time-Varying Coefficients
bayesian generalized-linear-models mcmc r stan time-series
Last synced: 02 Aug 2024
https://github.com/yomichi/spinmontecarlo.jl
Markov chain Monte Carlo solver for lattice spin systems implemented in Julialang
ising-model julialang lattice mcmc monte-carlo physics quantum-physics spin statistical-physics
Last synced: 29 Sep 2024
https://github.com/yomichi/SpinMonteCarlo.jl
Markov chain Monte Carlo solver for lattice spin systems implemented in Julialang
ising-model julialang lattice mcmc monte-carlo physics quantum-physics spin statistical-physics
Last synced: 31 Jul 2024
https://github.com/merliseclyde/BAS
BAS R package https://merliseclyde.github.io/BAS/
bayesian bayesian-inference cran mcmc model-selection predictive-modeling r-package regression variable-selection
Last synced: 30 Jul 2024
https://github.com/tpapp/LogDensityProblems.jl
A common framework for implementing and using log densities for inference.
bayesian bayesian-data-analysis bayesian-inference bayesian-methods julia mcmc
Last synced: 31 Jul 2024
https://github.com/aesara-devs/aemcmc
AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.
gibbs-sampling hmc mcmc ppl samplers symbolic-computation term-rewriting
Last synced: 02 Aug 2024
https://github.com/oscaribv/pyaneti
A multi-planet Radial Velocity and Transit modelling software
exoplanets mcmc multi-planet-fitting planets radial-velocities transiting-planets
Last synced: 01 Aug 2024
https://github.com/tpapp/dynamichmcexamples.jl
Examples for Bayesian inference using DynamicHMC.jl and related packages.
bayesian bayesian-data-analysis bayesian-inference julia julia-language julialang mcmc
Last synced: 29 Sep 2024
https://github.com/SebastianBocquet/pygtc
Make a sweet giant triangle confusogram (GTC) plot
bayesian-data-analysis data-visualization mcmc
Last synced: 31 Jul 2024
https://github.com/madsjulia/AffineInvariantMCMC.jl
Affine Invariant Markov Chain Monte Carlo (MCMC) Ensemble sampler
affine-invariance ensemble-sampler high-performance-computing julia mads markov-chain markov-chain-monte-carlo mcmc monte-carlo-simulation uncertainty uncertainty-estimation uncertainty-quantification
Last synced: 02 Aug 2024
https://github.com/posterior/treecat
A Bayesian latent tree model of high-dimensional heterogeneous data
bayesian machine-learning mcmc python unsupervised-learning
Last synced: 30 Jul 2024
https://github.com/hendersontrent/posteriorplots.jl
Graphical tools for Bayesian inference and posterior predictive checks
bayesian bayesian-inference bayesian-statistics julia-language mcmc
Last synced: 29 Sep 2024
https://github.com/itsdfish/differentialevolutionmcmc.jl
A Julia package for Differential Evolution MCMC
differential-evolution-mcmc julia julialang mcmc
Last synced: 30 Sep 2024
https://github.com/itsdfish/DifferentialEvolutionMCMC.jl
A Julia package for Differential Evolution MCMC
differential-evolution-mcmc julia julialang mcmc
Last synced: 02 Aug 2024
https://github.com/TuringLang/EllipticalSliceSampling.jl
Julia implementation of elliptical slice sampling.
julia-language markov-chain-monte-carlo mcmc slice-sampling turing
Last synced: 02 Aug 2024
https://github.com/turinglang/ellipticalslicesampling.jl
Julia implementation of elliptical slice sampling.
julia-language markov-chain-monte-carlo mcmc slice-sampling turing
Last synced: 02 Oct 2024
https://github.com/bearloga/mlpugs
An R package for Multi-Label Prediction Using Gibbs Sampling (and Classifier Chains)
classification machine-learning mcmc multi-label-classification r r-package rstats supervised-learning
Last synced: 29 Sep 2024
https://github.com/thiery-lab/manifold-mcmc-for-diffusions
Code accompanying the paper 'Manifold MCMC methods for Bayesian inference in a wide class of diffusion models'
Last synced: 31 Jul 2024
https://github.com/fweber144/shinybrms
An R package providing a GUI ('shiny' app) for the R package 'brms'.
bayes bayesian bayesian-data-analysis bayesian-inference bayesian-statistics brms cmdstanr gui mcmc r r-package rstan shiny shiny-app stan statistical-analysis statistical-inference statistical-models statistics
Last synced: 13 Aug 2024
https://github.com/poissonconsulting/term
An R package to manipulate the names of parameters terms
coefficients cran mcmc r rstats term
Last synced: 13 Aug 2024
https://poissonconsulting.github.io/term/
An R package to manipulate the names of parameters terms
coefficients cran mcmc r rstats term
Last synced: 31 Jul 2024
https://github.com/nftqcd/fthmc
Flowed HMC for Lattice Gauge Theory
lattice-field-theory machine-learning mcmc
Last synced: 31 Jul 2024
https://github.com/thiery-lab/manifold_lifting
Accompanying code for 'Manifold lifting: scaling MCMC to the vanishing noise regime'
bayesian-inference hmc inverse-problems mcmc
Last synced: 31 Jul 2024
https://github.com/kdl-umass/causalgpslc.jl
Causal Inference using Gaussian Processes with Structured Latent Confounders. Estimate treatment effects with Gaussian processes.
bayesian-inference causal-inference gen julia-language machine-learning mcmc
Last synced: 29 Sep 2024
https://github.com/kaybenleroll/stancasestudy_losscurves
This repository holds the code and stan files for the creation of an example Stan case study on modelling loss curves in Insurance.
claims-reserving insurance mcmc stan
Last synced: 02 Aug 2024
https://github.com/bonStats/smcdar
Data and code to accompany paper "Accelerating sequential Monte Carlo with surrogate likelihoods"
delayed-acceptance mcmc smc surrogate-models
Last synced: 05 Aug 2024
https://github.com/igutierrezm/walker2020sampling.jl
Sampling from an unnormalized pdf in Julia using Walker's MCMC algorithm
Last synced: 30 Sep 2024
https://github.com/armanbilge/mcmc
bayesian-inference bayesian-methods mcmc
Last synced: 01 Oct 2024
https://github.com/armanbilge/apg
ancient population genomics
ancient-dna-sequences bayesian-inference coalescent mcmc population-genetics population-genomics
Last synced: 01 Oct 2024