Results for "mcmc-sampling"

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71 skills found · Page 1 of 3

dfm / Emcee

1.6k

The Python ensemble sampling toolkit for affine-invariant MCMC

universal

mcmcmcmc-samplerprobabilistic-data-analysis+1

Updated 2d ago

cmbant / Getdist

183

MCMC sample analysis, kernel densities, plotting, and GUI

universal

contour-plotkernel-density-estimationmcmc+3

Updated 5d ago

stablemarkets / BayesianTutorials

111

Implementing MCMC sampling from scratch in R for various Bayesian models

universal

bayesianbayesian-linear-regressiongibbs+2

Updated 4mo ago

cmbant / CosmoMC

MCMC parameter sampling code

universal

cosmic-microwave-backgroundcosmologymcmc-sampler

Updated 4mo ago

Tikquuss / GflowNets Tutorial

GflowNets, MCMC, Metropolis-Hasting, Gibbs sampling, Metropolis-adjusted Langevin, Inverse Transform Sampling, Acceptance-Rejection Method and Important Sampling

universal

Updated 8mo ago

SHI-Yu-Zhe / Generative Modeling Explained

Ying Nian Wu's UCLA Statistical Machine Learning Tutorial on generative modeling.

universal

adversarial-learningbayesian-inferencediffusion-model+8

Updated 2mo ago

ludwigwinkler / Pytorch MCMC

Lightweight MCMC sampling for PyTorch Models aka My Corona Project

universal

hmcmalamcmc+3

Updated 2d ago

learningmatter-mit / Surface Sampling

MCMC-based algorithm for sampling surface reconstructions

universal

Updated 17d ago

chalk-lab / MCMCTempering.jl

Implementations of parallel tempering algorithms to augment samplers with tempering capabilities

universal

julia-languagemcmcmcmc-sampling+3

Updated 2mo ago

USACE-RMC / Numerics

Numerics is a free and open-source library for .NET developed by USACE-RMC, providing a comprehensive set of methods and algorithms for numerical computations and statistical analysis.

universal

machine-learningmcmc-samplingoptimization+2

Updated 1mo ago

ying531 / MCMC SymReg

Symbolic Regression using MCMC sampling

universal

Updated 9mo ago

NErler / JointAI

Joint Analysis and Imputation of generalized linear models and linear mixed models with missing values

zed

bayesiangeneralized-linear-modelsglm+13

Updated 1mo ago

lanl / PyBNF

An application for parameterization of biological models available in SBML and BNGL formats. Features include parallelization, metaheuristic optimization algorithms, and an adaptive Markov chain Monte Carlo (MCMC) sampling algorithm.

universal

Updated 1h ago

adammoss / Nnest

Neural network nested and MCMC sampling

universal

Updated 5mo ago

robertnishihara / Gess

An MCMC algorithm for sampling continuous probability distributions in parallel

universal

Updated 1mo ago

gboehl / DIMESampler.jl

Differential-Independence Mixture Ensemble (DIME) MCMC sampling for Julia

universal

Updated 5mo ago

microsoft / Angara.Statistics

A collection of statistics algorithms from Mersenne twister generator to MCMC sampling.

universal

Updated 4mo ago

poissonconsulting / Mcmcr

An R package to manipulate MCMC samples

universal

codacranmcmc+2

Updated 1mo ago

brandonckelly / CUDAHM

Routines for using CUDA to perform MCMC Sampling of Hierarchical Models with GPUs.

universal

Updated 1y ago

slwu89 / MCMC

C++ & R code for Markov Chain Monte Carlo estimation (Gibbs sampling, MH random walk, various flavors of adaptive MCMC, etc), and functions relevant to the truncated multivariate Gaussian distribution

universal

Updated 2y ago