Alternatives and similar repositories for logisticVB:

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

• pierrejacob / unbiasedmcmc
  Unbiased Markov chain Monte Carlo with couplings
  ☆29Updated 2 years ago
• stablemarkets / intro_bayesian_causal
  Repository for Introduction to Bayesian Estimation of Causal Effects
  ☆61Updated 4 years ago
• rgiordan / StanSensitivity
  Tools for automatically generating local sensitivity measures in Stan.
  ☆36Updated 4 years ago
• mattiasvillani / AdvBayesLearnCourse
  Course material for the PhD course in Advanced Bayesian Learning
  ☆59Updated last month
• STOR-i / sgmcmc
  sgmcmc: a stochastic gradient MCMC package for R
  ☆29Updated 4 years ago
• helske / walker
  Bayesian Generalized Linear Models with Time-Varying Coefficients
  ☆44Updated 7 months ago
• ehkennedy / npcausal
  ☆94Updated last year
• lihualei71 / cfcausal
  R package cfcausal
  ☆27Updated 2 years ago
• jgabry / bayes-vis-paper
  'Visualization in Bayesian workflow' by Gabry, Simpson, Vehtari, Betancourt, and Gelman. (JRSS discussion paper and code)
  ☆65Updated 4 years ago
• JamesYang007 / adelie
  A fast and flexible Python package for efficiently solving lasso, elastic net, group lasso, and group elastic net problems.
  ☆42Updated 2 months ago
• jantonelli111 / DoublyRobustHD
  R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods
  ☆26Updated 5 months ago
• yao-yl / Evaluating-Variational-Inference
  Evaluating variational inference using Pareto-smoothed importance sampling and simulation-based calibration
  ☆12Updated 6 years ago
• fate-ewi / bayesdfa
  Bayesian DFA with Stan
  ☆29Updated last month
• sachsmc / causaloptim
  An Interface to Specify Causal Graphs and Compute Balke Bounds
  ☆18Updated last month
• betanalpha / stan_intro
  Draft introduction to probability and inference aimed at the Stan manual.
  ☆86Updated 8 years ago
• abhiagwl / vistan
  A simple library to run variational inference on Stan models.
  ☆30Updated 2 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…
  ☆24Updated 3 years ago
• danieledurante / ESBM
  Extended stochastic block models with application to criminal networks
  ☆10Updated 3 years ago
• ryantibs / genlasso
  Path algorithm for generalized lasso problems
  ☆32Updated 2 years ago
• wfithian / optimal-inference
  repo for "Optimal Inference After Model Selection"
  ☆11Updated 8 years ago
• omaclaren / open-learning-material
  Some teaching material and other educational resources
  ☆41Updated 6 months ago
• seantalts / simulation-based-calibration
  Repo for code from the SBC paper
  ☆24Updated 6 years ago
• rsnirwan / HouseholderBPCA
  Rotation Invariant Householder Parameterization for Bayesian PCA
  ☆17Updated 2 years ago
• jaredsmurray / bcf
  Bayesian Causal Forests
  ☆43Updated 11 months ago
• jirotubuyaki / ThunderBayesR
  An R Package for Bayesian Nonparametric Clustering. We plan to implement several models.
  ☆16Updated 2 years ago
• pierrejacob / winference
  R package to perform statistical inference in generative models using the Wasserstein distance (requires CGAL)
  ☆25Updated 5 years ago
• Bo-Ning / Bayesian-multivariate-time-series-causal-inference
  R code for ''Bayesian method for causal inference in spatially-correlated multivariate time series''
  ☆45Updated 4 years ago
• gabriuma / basis_functions_approach_to_GP
  ☆54Updated 2 years ago
• avehtari / rhat_ess
  Rank-normalization, folding, and localization: An improved R-hat for assessing convergence of MCMC
  ☆31Updated 3 years ago
• nhejazi / haldensify
  R/haldensify: Highly Adaptive Lasso Conditional Density Estimation
  ☆18Updated 2 months ago