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 last year
• jasonge27 / picasso
  Penalized Sparse Learning Solver - Unleash the Power of Nonconvex Penalty
  ☆76Updated 3 years ago
• ryantibs / best-subset
  Comparisons between best subset selection and other popular sparse regression estimators
  ☆88Updated 2 years ago
• airoldilab / sgd
  An R package for large scale estimation with stochastic gradient descent
  ☆62Updated last month
• 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
• tommasorigon / logisticVB
  Variational inference for Bayesian logistic regression
  ☆13Updated 6 years ago
• avehtari / PSIS
  Pareto smoothed importance sampling (PSIS) and PSIS leave-one-out cross-validation for Python and Matlab/Octave
  ☆78Updated last year
• betanalpha / stan_intro
  Draft introduction to probability and inference aimed at the Stan manual.
  ☆83Updated 9 years ago
• wfithian / optimal-inference
  repo for "Optimal Inference After Model Selection"
  ☆15Updated 8 years ago
• hazimehh / L0Learn
  Efficient Algorithms for L0 Regularized Learning
  ☆102Updated last year
• JingyuHe / XBART
  ☆93Updated 11 months ago
• seantalts / simulation-based-calibration
  Repo for code from the SBC paper
  ☆24Updated 6 years ago
• jrnold / ssmodels-in-stan
  State space models (dynamic linear models, hidden Markov models) implemented in Stan.
  ☆48Updated 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
• theodds / SoftBART
  ☆32Updated last month
• jgabry / bayes-vis-paper
  'Visualization in Bayesian workflow' by Gabry, Simpson, Vehtari, Betancourt, and Gelman. (JRSS discussion paper and code)
  ☆67Updated 5 years ago
• 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
• 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
• rgiordan / StanSensitivity
  Tools for automatically generating local sensitivity measures in Stan.
  ☆36Updated 5 years ago
• gelman / ep-stan
  ☆34Updated 5 years ago
• rbas2015 / CausalFX
  CausalFX R Package
  ☆13Updated 10 years ago
• pierrejacob / winference
  R package to perform statistical inference in generative models using the Wasserstein distance (requires CGAL)
  ☆28Updated 5 years ago
• gabriuma / basis_functions_approach_to_GP
  ☆56Updated 3 years ago
• MaggieLieu / STAN_tutorials
  ☆31Updated 5 years ago
• fonnesbeck / stan_workshop_2016
  Bayesian Modeling using Stan in R (May/June 2016)
  ☆54Updated 9 years ago
• rtrangucci / multi_output_gps
  ☆13Updated 8 years ago
• jhuggins / viabel
  Efficient, lightweight variational inference and approximation bounds
  ☆45Updated last month
• avehtari / rhat_ess
  Rank-normalization, folding, and localization: An improved R-hat for assessing convergence of MCMC
  ☆32Updated 4 years ago