Alternatives and similar repositories for sgmcmc

Users that are interested in sgmcmc are comparing it to the libraries listed below

• pierrejacob / unbiasedmcmc
  Unbiased Markov chain Monte Carlo with couplings
  ☆30Updated 3 years ago
• glmgen / glmgen
  Generalized lasso implementations
  ☆46Updated 11 months ago
• ryantibs / best-subset
  Comparisons between best subset selection and other popular sparse regression estimators
  ☆87Updated 2 years ago
• wfithian / optimal-inference
  repo for "Optimal Inference After Model Selection"
  ☆14Updated 8 years ago
• airoldilab / sgd
  An R package for large scale estimation with stochastic gradient descent
  ☆62Updated last year
• tommasorigon / logisticVB
  Variational inference for Bayesian logistic regression
  ☆12Updated 6 years ago
• betanalpha / stan_intro
  Draft introduction to probability and inference aimed at the Stan manual.
  ☆85Updated 9 years ago
• avehtari / PSIS
  Pareto smoothed importance sampling (PSIS) and PSIS leave-one-out cross-validation for Python and Matlab/Octave
  ☆77Updated last year
• kapelner / bartMachine
  An R-Java Bayesian Additive Regression Trees implementation
  ☆62Updated last year
• ivaleraM / GLFM
  General Latent Feature Modeling for Heterogeneous data
  ☆50Updated last year
• cdrovandi / Bayesian-Synthetic-Likelihood
  Code for the Bayesian Synthetic Likelihood paper by Price et al 2018 in the Journal of Computational and Graphical Statistics (volume 27,…
  ☆13Updated 7 years ago
• adamhaber / stan2tfp
  stan2tfp is a lightweight interface to the TensorFlow Probability backend of the Stan compiler. It provides the necessary objects and fun…
  ☆25Updated 3 years ago
• ryantibs / conformal
  Tools for conformal inference in regression
  ☆248Updated last year
• compops / pmh-tutorial
  Source code and data for the tutorial: "Getting started with particle Metropolis-Hastings for inference in nonlinear models"
  ☆28Updated 6 years ago
• jrnold / ssmodels-in-stan
  State space models (dynamic linear models, hidden Markov models) implemented in Stan.
  ☆47Updated 7 years ago
• seantalts / simulation-based-calibration
  Repo for code from the SBC paper
  ☆24Updated 6 years ago
• theodds / SoftBART
  ☆32Updated 3 weeks ago
• jasonge27 / picasso
  Penalized Sparse Learning Solver - Unleash the Power of Nonconvex Penalty
  ☆76Updated 3 years ago
• fonnesbeck / stan_workshop_2016
  Bayesian Modeling using Stan in R (May/June 2016)
  ☆54Updated 9 years ago
• MaggieLieu / STAN_tutorials
  ☆30Updated 5 years ago
• luisdamiano / BayesHMM
  Full Bayesian Inference for Hidden Markov Models
  ☆43Updated 6 years ago
• gabriuma / basis_functions_approach_to_GP
  ☆56Updated 3 years ago
• jgabry / bayes-vis-paper
  'Visualization in Bayesian workflow' by Gabry, Simpson, Vehtari, Betancourt, and Gelman. (JRSS discussion paper and code)
  ☆66Updated 4 years ago
• milkha / Splines_in_Stan
  Implementation of B-Splines in Stan
  ☆51Updated 7 years ago
• soerenkuenzel / hte
  ☆34Updated 3 years ago
• slinderman / pypolyagamma
  Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.
  ☆83Updated 5 years ago
• lee-group-cmu / RFCDE
  Random Forests for Conditional Density Estimation
  ☆42Updated 4 years ago
• oxcsml / ML_bazaar
  OxCSML research group reading groups and meetings at the Department of Statistics, University of Oxford.
  ☆93Updated 3 years ago
• jgabry / bayes-workflow-book
  Source files for the book "Bayesian Workflow Using Stan"
  ☆96Updated 3 years ago
• rbas2015 / CausalFX
  CausalFX R Package
  ☆13Updated 10 years ago