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46 search results found

Gpflow ⭐ 1,802

Gaussian processes in TensorFlow

Machine learning algorithms for many-body quantum systems

Rethinking Numpyro ⭐ 385

Statistical Rethinking (2nd ed.) with NumPyro

Deep Generative Models For Natural Language Processing ⭐ 330

DGMs for NLP. A roadmap.

Openmmtools ⭐ 214

A batteries-included toolkit for the GPU-accelerated OpenMM molecular simulation engine.

Manifold Markov chain Monte Carlo methods in Python

Rethinking Tensorflow Probability ⭐ 207

Statistical Rethinking (2nd Ed) with Tensorflow Probability

Mrbayes ⭐ 201

MrBayes is a program for Bayesian inference and model choice across a wide range of phylogenetic and evolutionary models. For documentation and downloading the program, please see the home page:

A C++ library of Markov Chain Monte Carlo (MCMC) methods

Cmdstanr ⭐ 126

CmdStanR: the R interface to CmdStan

A Nice Mc ⭐ 125

Code for "A-NICE-MC: Adversarial Training for MCMC"

R package for statistical inference using partially observed Markov processes

Zigzagboomerang.jl ⭐ 83

Sleek implementations of the ZigZag, Boomerang and other assorted piecewise deterministic Markov processes for Markov Chain Monte Carlo including Sticky PDMPs for variable selection

Diffusive Nested Sampling

Pymcmcstat ⭐ 49

Python implementation of MATLAB toolbox "mcmcstat"

Littlemcmc ⭐ 40

A lightweight and performant implementation of HMC and NUTS in Python, spun out of the PyMC project.

Bayesian Inference of State Space Models

Gammaray ⭐ 35

GammaRay: a graphical interface to GSLib and other geomodeling algorithms. *NEW* in Apr, 22nd: MCRFSim for Bayesian approach.

Affineinvariantmcmc.jl ⭐ 29

Affine Invariant Markov Chain Monte Carlo (MCMC) Ensemble sampler

Pdsampler.jl ⭐ 26

Piecewise Deterministic Sampler library (Bouncy particle sampler, Zig Zag sampler, ...)

Pysgmcmc ⭐ 23

Stochastic Gradient MCMC Methods for Tensorflow

A straightforward Bayesian data fitting library

Rhat_ess ⭐ 22

Rank-normalization, folding, and localization: An improved R-hat for assessing convergence of MCMC

Blangsdk ⭐ 22

Blang's software development kit

Instantiate ⭐ 20

Pre-compiled CmdStan models in R packages

Multibugs ⭐ 20

Multi-core BUGS for fast Bayesian inference of large hierarchical models

Markov Chain Monte Carlo Mcmc ⭐ 16

Markov Chain Monte Carlo MCMC methods are implemented in various languages (including R, Python, Julia, Matlab)

A toolbox for inference of mixture models

A friendly MCMC framework

Ellipticalslicesampling.jl ⭐ 12

Julia implementation of elliptical slice sampling.

Bayes_infotheory ⭐ 12

Lectures on Bayesian statistics and information theory

Molecular Simulation ⭐ 12

分子シミュレーションの理論や関連するトピックをまとめたノート

Phd Thesis ⭐ 8

Accelerating Monte Carlo methods for Bayesian inference in dynamical models

O2geosocial ⭐ 7

Reconstruction of Transmission Chains from Surveillance Data

Neural Cluster Update ⭐ 7

Code for 'Unbiased Monte Carlo Cluster Updates with Autoregressive Neural Networks'.

Markovmodels ⭐ 6

Classical models implemented from a Markov operator's perspective

Mcphylo.jl ⭐ 6

(Hierarchical) Phylogenetic Models in Julia

BISIP | Bayesian Inversion of SIP data

Ddcrp Gibbs ⭐ 6

Gibbs sampler for the Distance Dependent Chinese Restaurant Process

A differential evolution and Markov chain Monte Carlo differential evolution package in Go

covid-19 Rt real time computation

Montecarlobook ⭐ 5

Repositorio de la unidad 2 del curso INFO274: Simulación, Instituto de Informática, UACh

PyBEAM: A Bayesian approach to parameter inference for a wide class of binary evidence accumulation models

Pymc Advi Hmc Demo ⭐ 5

Demonstrating HMC and ADVI algorithms for Bayesian data analysis using PYMC3.

Msmpathfinder ⭐ 5

Finding pathways from an Markov State Model

Diffusive Nested Sampling like you've never seen it before

1-46 of 46 search results

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