mcmc

There are 19 repositories under mcmc topic.

pymc-devs / pymc
Bayesian Modeling and Probabilistic Programming in Python
bayesian-inference mcmc probabilistic-programming pytensor python statistical-analysis variational-inference
Language:Python 8201
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
Language:Python 2057
TuringLang / Turing.jl
Bayesian inference with probabilistic programming.
machine-learning probabilistic-programming julia-language artificial-intelligence bayesian-inference hamiltonian-monte-carlo turing bayesian-statistics mcmc hmc probabilistic-graphical-models probabilistic-models probabilistic-inference bayesian-neural-networks
Language:Julia 1975
JavierAntoran / Bayesian-Neural-Networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
deep-learning bayesian-inference pytorch reproducible-research bayesian-neural-networks bayes-by-backprop mc-dropout mcmc variational-inference kronecker-factored-approximation langevin-dynamics approximate-inference local-reparametrization-trick uncertainty uncertainty-neural-networks out-of-distribution-detection classification regression sgld hmc
Language:Jupyter Notebook 1754
dfm / emcee
The Python ensemble sampling toolkit for affine-invariant MCMC
python mcmc mcmc-sampler probabilistic-data-analysis
Language:Python 1428
owlbarn / owl
Owl - OCaml Scientific Computing @ https://ocaml.xyz
matrix linear-algebra ndarray statistical-functions topic-modeling regression maths gsl plotting sparse-linear-systems scientific-computing numerical-calculations statistics mcmc optimization autograd algorithmic-differentation automatic-differentiation machine-learning neural-network
Language:OCaml 1184
stan-dev / rstan
RStan, the R interface to Stan
bayesian-data-analysis bayesian-inference bayesian-statistics mcmc r r-package stan
Language:R 1009
avehtari / BDA_py_demos
Bayesian Data Analysis demos for Python
python bayesian-data-analysis bayesian-inference bayesian mcmc stan
Language:Jupyter Notebook 975
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
Language:Jupyter Notebook 841
mxgmn / ConvChain
Bitmap generation from a single example with convolutions and MCMC
algorithm convchain csharp gamedev machine-learning mcmc procedural-generation texture-synthesis
Language:C# 731
JWarmenhoven / DBDA-python
Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
bayesian-data-analysis bayesian-inference pymc3 mcmc hierarchical-models kruschke probabilistic-programming
Language:Jupyter Notebook 668
avehtari / BDA_R_demos
Bayesian Data Analysis demos for R
bayesian-data-analysis r bayesian-inference bayesian mcmc stan monte-carlo
Language:HTML 552
stan-dev / bayesplot
bayesplot R package for plotting Bayesian models
pandoc r-package statistical-graphics stan bayesian ggplot2 visualization mcmc
Language:R 416
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
389
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
Language:Julia 383
uncomplicate / bayadera
High-performance Bayesian Data Analysis on the GPU in Clojure
clojure bayesian-inference bayesian-data-analysis gpu-computing gpu-acceleration statistics machine-learning clojure-library bayesian opencl cuda high-performance-computing gpu mcmc markov-chain-monte-carlo
Language:Clojure 361
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
Language:Python 343
TuringLang / MCMCChains.jl
Types and utility functions for summarizing Markov chain Monte Carlo simulations
markov-chain julia-language mcmc
Language:Julia 253
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
Language:Jupyter Notebook 250
paramonte
cdslaborg / paramonte
ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.
monte-carlo markov-chain adaptive-learning bayesian-inference bayesian-statistics machine-learning machine-learning-algorithms machine-learning-library sampling c cpp fortran python matlab monte-carlo-simulations mpi mcmc openmp numerical-integration
Language:Fortran 243
wiseodd / probabilistic-models
Collection of probabilistic models and inference algorithms
probabilistic-models python machine-learning bayesian bayesian-inference mcmc gibbs-sampling variational-inference dirichlet-process
Language:Python 239
choderalab / openmmtools
A batteries-included toolkit for the GPU-accelerated OpenMM molecular simulation engine.
openmm molecular-dynamics alchemical-free-energy-calculations integrators free-energy-calculations molecular-simulations python mcmc markov-chain-monte-carlo replica-exchange
Language:Python 235
CompEvol / beast2
Bayesian Evolutionary Analysis by Sampling Trees
phylogenetics bayesian-inference mcmc beast java evolution
Language:Java 231
TuringLang / AdvancedHMC.jl
Robust, modular and efficient implementation of advanced Hamiltonian Monte Carlo algorithms
hmc nuts hamiltonian-monte-carlo mcmc
Language:Jupyter Notebook 221
minaskar / zeus
⚡️ zeus: Lightning Fast MCMC ⚡️
mcmc mcmc-sampler bayesian-inference inference machine-learning sampling sampling-methods general-purpose black-box-bayesian-inference probabilistic-data-analysis python
Language:Python 219
mici
matt-graham / mici
Manifold Markov chain Monte Carlo methods in Python
hamiltonian-monte-carlo hmc mcmc hybrid-monte-carlo markov-chain-monte-carlo python inference-algorithms
Language:Python 209
StanJulia / Stan.jl
Stan.jl illustrates the usage of the 'single method' packages, e.g. StanSample, StanOptimize, etc.
julia stan mcmc
Language:Julia 208
exoplanet-dev / exoplanet
Fast & scalable MCMC for all your exoplanet needs!
exoplanet exoplanet-transits exoplanet-radial-velocities mcmc gaussian-processes bayesian-inference pymc3 time-series time-series-analysis astronomy astrophysics exoplanets
Language:Python 201
Joseph94m / MCMC
Implementation of Markov Chain Monte Carlo in Python from scratch
bayesian-inference machine-learning markov-chain-monte-carlo mcmc metropolis-hastings
Language:Jupyter Notebook 196
stan-dev / shinystan
shinystan R package and ShinyStan GUI
stan mcmc r-package statistical-graphics shiny-apps r bayesian bayesian-statistics bayesian-inference bayesian-data-analysis bayesian-methods
Language:R 195
bat / BAT.jl
A Bayesian Analysis Toolkit in Julia
julia statistics bayesian-inference bayesian-statistics mcmc machine-learning prior posterior
Language:Julia 194
beast-dev / beast-mcmc
Bayesian Evolutionary Analysis Sampling Trees
bayesian-analysis beast evolution java mcmc phylogenetics
Language:Java 179
kazewong / flowMC
Normalizing-flow enhanced sampling package for probabilistic inference in Jax
jax mcmc normalizing-flows stat
Language:Python 174
stephaneguindon / phyml
PhyML -- Phylogenetic estimation using (Maximum) Likelihood
mcmc phylogenetics evolution
Language:C 166
gpstuff-dev / gpstuff
GPstuff - Gaussian process models for Bayesian analysis
bayesian gaussian-processes bayesian-inference bayesian-optimization classification regression survival-analysis spatial-analysis covariance-functions expectation-propagation variational-inference mcmc octave
Language:MATLAB 165
StatisticalRethinkingJulia / TuringModels.jl
Implementations of the models from the Statistical Rethinking book with Turing.jl
mcmc julia-language turinglang statisticalrethinking turing franklin
Language:Julia 161