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: 30 Dec 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: 31 Dec 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 Jan 2025
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: 27 Oct 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: 04 Jan 2025
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: 12 Nov 2024
https://github.com/dfm/emcee
The Python ensemble sampling toolkit for affine-invariant MCMC
mcmc mcmc-sampler probabilistic-data-analysis python
Last synced: 31 Dec 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: 02 Jan 2025
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: 02 Jan 2025
https://github.com/avehtari/bda_py_demos
Bayesian Data Analysis demos for Python
bayesian bayesian-data-analysis bayesian-inference mcmc python stan
Last synced: 05 Jan 2025
https://github.com/avehtari/BDA_py_demos
Bayesian Data Analysis demos for Python
bayesian bayesian-data-analysis bayesian-inference mcmc python stan
Last synced: 27 Nov 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: 01 Jan 2025
https://github.com/mxgmn/convchain
Bitmap generation from a single example with convolutions and MCMC
algorithm convchain csharp gamedev machine-learning mcmc procedural-generation texture-synthesis
Last synced: 04 Jan 2025
https://github.com/mxgmn/ConvChain
Bitmap generation from a single example with convolutions and MCMC
algorithm convchain csharp gamedev machine-learning mcmc procedural-generation texture-synthesis
Last synced: 12 Oct 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: 04 Jan 2025
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: 26 Oct 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: 03 Jan 2025
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: 25 Oct 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: 04 Jan 2025
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: 12 Nov 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: 10 Nov 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: 13 Nov 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: 31 Dec 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: 12 Nov 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: 01 Jan 2025
https://github.com/turinglang/mcmcchains.jl
Types and utility functions for summarizing Markov chain Monte Carlo simulations
hacktoberfest julia-language markov-chain mcmc
Last synced: 04 Jan 2025
https://github.com/TuringLang/MCMCChains.jl
Types and utility functions for summarizing Markov chain Monte Carlo simulations
hacktoberfest julia-language markov-chain mcmc
Last synced: 30 Oct 2024
https://github.com/turinglang/advancedhmc.jl
Robust, modular and efficient implementation of advanced Hamiltonian Monte Carlo algorithms
hacktoberfest hamiltonian-monte-carlo hmc mcmc nuts
Last synced: 05 Jan 2025
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: 30 Dec 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: 13 Nov 2024
https://github.com/cdslaborg/paramonte
ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.
adaptive-learning bayesian-inference bayesian-statistics c cpp fortran machine-learning machine-learning-algorithms machine-learning-library markov-chain matlab mcmc monte-carlo monte-carlo-simulations mpi numerical-integration openmp python sampling
Last synced: 03 Jan 2025
https://github.com/wiseodd/probabilistic-models
Collection of probabilistic models and inference algorithms
bayesian bayesian-inference dirichlet-process gibbs-sampling machine-learning mcmc probabilistic-models python variational-inference
Last synced: 02 Jan 2025
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: 04 Jan 2025
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: 05 Jan 2025
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: 30 Oct 2024
https://github.com/bat/bat.jl
A Bayesian Analysis Toolkit in Julia
bayesian-inference bayesian-statistics julia machine-learning mcmc posterior prior statistics
Last synced: 30 Dec 2024
https://github.com/StanJulia/Stan.jl
Stan.jl illustrates the usage of the 'single method' packages, e.g. StanSample, StanOptimize, etc.
Last synced: 20 Nov 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: 01 Jan 2025
https://github.com/kazewong/flowMC
Normalizing-flow enhanced sampling package for probabilistic inference in Jax
jax mcmc normalizing-flows stat
Last synced: 30 Oct 2024
https://github.com/kthohr/mcmc
A C++ library of Markov Chain Monte Carlo (MCMC) methods
armadillo automatic-differentiation cpp cpp11 de differential-evolution eigen eigen3 hamiltonian-monte-carlo hmc langevin-diffusion mala markov-chain-monte-carlo mcmc metropolis-hastings riemannian-manifold
Last synced: 02 Jan 2025
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: 03 Jan 2025
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: 04 Jan 2025
https://github.com/stan-dev/cmdstanr
CmdStanR: the R interface to CmdStan
bayes bayesian markov-chain-monte-carlo maximum-likelihood mcmc r-package stan variational-inference
Last synced: 01 Jan 2025
https://github.com/mggg/gerrychain
Use MCMC to analyze districting plans and gerrymanders
gerrymandering gis mcmc python
Last synced: 03 Jan 2025
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: 20 Dec 2024
https://github.com/minaskar/pocomc
pocoMC: A Python implementation of Preconditioned Monte Carlo for accelerated Bayesian Computation
astronomy astrophysics bayesian-inference black-box-bayesian-inference cosmology cosmology-inference general-purpose inference machine-learning mcmc mcmc-sampler normalizing-flows probabilistic-data-analysis python sampling sampling-methods smc
Last synced: 04 Jan 2025
https://github.com/turinglang/advancedmh.jl
Robust implementation for random-walk Metropolis-Hastings algorithms
adaptive-mcmc hacktoberfest mcmc metropolis-hastings
Last synced: 17 Nov 2024
https://github.com/TuringLang/AdvancedMH.jl
Robust implementation for random-walk Metropolis-Hastings algorithms
adaptive-mcmc hacktoberfest mcmc metropolis-hastings
Last synced: 30 Oct 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: 29 Nov 2024
https://github.com/doi-usgs/geobipy
Geophysical Bayesian Inference in Python. Docs:
bayesian bayesian-inference geophysics h5py hdf5 mcmc mpi mpi4py parallel trans-dimensional
Last synced: 02 Jan 2025
https://github.com/turinglang/turingglm.jl
Bayesian Generalized Linear models using `@formula` syntax.
bayesian-inference bayesian-statistics hmc julia-language mcmc turing
Last synced: 31 Dec 2024
https://github.com/jangevaare/pathogen.jl
Simulation, visualization, and inference of individual level infectious disease models with Julia
epidemics evolution infectious-diseases julia mcmc transmission-network
Last synced: 08 Nov 2024
https://github.com/sandialabs/uqtk
Sandia Uncertainty Quantification Toolkit
bayesian-inference mcmc mcmc-methods mcmc-sampler scr-1380 snl-data-analysis snl-science-libs surrogate-models uncertainty uncertainty-estimation uncertainty-propagation uncertainty-quantification uq
Last synced: 12 Nov 2024
https://github.com/Starfish-develop/Starfish
Tools for Flexible Spectroscopic Inference
astronomy astrophysics inference mcmc python spectra starfish
Last synced: 17 Nov 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: 20 Dec 2024
https://github.com/dm13450/dirichletprocess
Build dirichletprocess objects for data analysis
bayesian bayesian-inference bayesian-statistics dirichlet-process mcmc r r-package
Last synced: 03 Jan 2025
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: 04 Jan 2025
https://github.com/avehtari/bda_m_demos
Bayesian Data Analysis demos for Matlab/Octave
bayesian bayesian-data-analysis bayesian-inference mcmc octave stan
Last synced: 15 Oct 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: 31 Dec 2024
https://github.com/lxuechen/bdmc
PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.
annealed-importance-sampling bayesian-inference bidirectional-monte-carlo hamiltonian-monte-carlo mcmc pytorch
Last synced: 28 Oct 2024
https://github.com/austinrochford/webmc3
A web interface for exploring PyMC3 traces
bayesian-inference dash mcmc probabilistic-programming python statistical-analysis visualization
Last synced: 02 Nov 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: 30 Dec 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: 03 Nov 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: 30 Oct 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: 12 Oct 2024
https://github.com/merliseclyde/BAS
BAS R package for Bayesian Model Averaging and Variable Selection
bayesian bayesian-inference cran generalized-linear-models linear-regression logistic-regression mcmc model-selection poisson-regression predictive-modeling r-package regression variable-selection
Last synced: 25 Oct 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: 03 Jan 2025
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: 30 Oct 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: 11 Nov 2024
https://github.com/asael697/bayesforecast
Automatic forecasting and Bayesian modeling for time series with Stan
bayesian-inference forecasting-models mcmc stan time-series-analysis
Last synced: 05 Dec 2024
https://github.com/mfreidank/pysgmcmc
Bayesian Deep Learning with Stochastic Gradient MCMC Methods
bayesian-inference markov-chain-monte-carlo mcmc python stochastic tensorflow
Last synced: 22 Oct 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: 12 Oct 2024
https://github.com/chunyuanli/psgld
AAAI & CVPR 2016: Preconditioned Stochastic Gradient Langevin Dynamics (pSGLD)
mcmc preconditioner sampling-methods stochastic-gradient-descent
Last synced: 28 Nov 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: 13 Nov 2024
https://github.com/aesara-devs/aehmc
An HMC/NUTS implementation in Aesara
hmc mcmc nuts symbolic-computation
Last synced: 11 Nov 2024
https://github.com/SebastianBocquet/pygtc
Make a sweet giant triangle confusogram (GTC) plot
bayesian-data-analysis data-visualization mcmc
Last synced: 30 Oct 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: 09 Nov 2024
https://github.com/centre-for-humanities-computing/tweetopic
Blazing fast topic modelling for short texts.
dirichlet-process-mixtures dmm gibbs-sampling gsdmm machine-learning mcmc nlp python scikit-learn topic-modeling tweet tweet-analysis visualization
Last synced: 03 Jan 2025
https://github.com/turinglang/mcmctempering.jl
Implementations of parallel tempering algorithms to augment samplers with tempering capabilities
julia-language mcmc mcmc-sampling multimodality probabilistic-programming turing-language
Last synced: 31 Oct 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: 25 Oct 2024
https://github.com/dm13450/hawkesprocesses.jl
MCMC Inference for a Hawkes process in Julia
bayesian-inference hawkes-process julia mcmc
Last synced: 23 Oct 2024
https://github.com/cbg-ethz/scicone
Single-cell copy number calling and event history reconstruction.
bayesian-inference cancer-genomics copy-number-variation mcmc single-cell
Last synced: 17 Nov 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: 12 Oct 2024
https://github.com/turinglang/mcmcdiagnostictools.jl
julia mcmc statistical-analysis statistics
Last synced: 17 Nov 2024
https://github.com/cbg-ethz/bnpc
Bayesian non-parametric clustering (BnpC) of binary data with missing values and uneven error rates
binary-data clustering genotyping mcmc split-merge
Last synced: 17 Nov 2024
https://github.com/teddygroves/bibat
A batteries-included template for Bayesian data analysis projects
arviz bayesian-statistics cmdstanpy cookiecutter mcmc python stan template-project
Last synced: 15 Nov 2024
https://github.com/zang-langyan/markov-chain-monte-carlo-mcmc
Markov Chain Monte Carlo MCMC methods are implemented in various languages (including R, Python, Julia, Matlab)
julia markov-chain-monte-carlo matlab mcmc mcmc-methods mcmc-sampler python r
Last synced: 08 Nov 2024
https://github.com/uscbiostats/fmcmc
A friendly MCMC framework
adaptive bayesian-inference markov-chain-monte-carlo mcmc metropolis-hastings parallel-computing r r-package
Last synced: 28 Oct 2024
https://github.com/itsdfish/DifferentialEvolutionMCMC.jl
A Julia package for Differential Evolution MCMC
differential-evolution-mcmc julia julialang mcmc
Last synced: 13 Nov 2024
https://github.com/itsdfish/differentialevolutionmcmc.jl
A Julia package for Differential Evolution MCMC
differential-evolution-mcmc julia julialang mcmc
Last synced: 14 Oct 2024
https://github.com/4ment/physher
A multi-algorithmic framework for phylogenetic inference
bayesian-inference c genetic-algorithm maximum-likelihood mcmc phylogenetics variational-inference
Last synced: 07 Nov 2024
https://github.com/synesenom/ran
Library for generating various random variables
distribution javascript mcmc random statistics test
Last synced: 08 Nov 2024
https://github.com/ardiad/bayesgarch
Bayesian Estimation of the GARCH(1,1) Model with Student-t Innovations
bayesian garch mcmc risk-models student
Last synced: 28 Nov 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: 08 Nov 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: 13 Nov 2024