Alternatives and similar repositories for Evaluating-Variational-Inference

Users that are interested in Evaluating-Variational-Inference are comparing it to the libraries listed below

• tommasorigon / logisticVB
  Variational inference for Bayesian logistic regression
  ☆13Updated 6 years ago
• jhuggins / viabel
  Efficient, lightweight variational inference and approximation bounds
  ☆46Updated 2 months ago
• pierrejacob / unbiasedmcmc
  Unbiased Markov chain Monte Carlo with couplings
  ☆30Updated 3 years ago
• oxcsml / ML_bazaar
  OxCSML research group reading groups and meetings at the Department of Statistics, University of Oxford.
  ☆95Updated 4 years ago
• pierrejacob / couplingsmontecarlo
  some scripts for the couplings enthusiasts!
  ☆32Updated 5 years ago
• UCL-SML / Doubly-Stochastic-DGP
  Deep Gaussian Processes with Doubly Stochastic Variational Inference
  ☆151Updated 6 years ago
• daeilkim / bbvi
  Black Box Variational Inference
  ☆14Updated 10 years ago
• ImperialCollegeLondon / csml-reading-group
  Computational statistics and machine learning reading group at Imperial College London (2019-2020)
  ☆24Updated last month
• hughsalimbeni / bayesian_benchmarks
  A community repository for benchmarking Bayesian methods
  ☆112Updated 4 years ago
• blei-lab / variational-smc
  Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)
  ☆65Updated 6 years ago
• ivaleraM / GLFM
  General Latent Feature Modeling for Heterogeneous data
  ☆50Updated last year
• pyro-ppl / brmp
  Bayesian Regression Models in Pyro
  ☆73Updated last year
• amzn / orthogonal-additive-gaussian-processes
  Light-weighted code for Orthogonal Additive Gaussian Processes
  ☆43Updated last year
• slinderman / pypolyagamma
  Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.
  ☆84Updated 5 years ago
• ialong / GPt
  Gaussian Processes for Sequential Data
  ☆19Updated 5 years ago
• STOR-i / sgmcmc
  sgmcmc: a stochastic gradient MCMC package for R
  ☆30Updated 5 years ago
• avehtari / PSIS
  Pareto smoothed importance sampling (PSIS) and PSIS leave-one-out cross-validation for Python and Matlab/Octave
  ☆79Updated last year
• ssydasheng / FBNN
  Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)
  ☆86Updated 5 years ago
• rachtsingh / ibp_vae
  mean-field and structured VAEs for the IBP
  ☆23Updated 7 years ago
• fKunstner / dataset-downloader
  ☆13Updated last year
• trevorcampbell / bayesian-coresets
  Automated Scalable Bayesian Inference
  ☆131Updated 3 years ago
• stan-dev / posteriordb
  Database with posteriors of interest for Bayesian inference
  ☆212Updated 3 months ago
• thjashin / solvegp
  Sparse Orthogonal Variational Inference for Gaussian Processes (SOLVE-GP)
  ☆22Updated 4 years ago
• csquires / causal-rep-learning-reading-group
  ☆22Updated 2 years ago
• mauriziofilippone / deep_gp_random_features
  ☆40Updated 6 years ago
• ae-foster / dad
  Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design
  ☆39Updated 4 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
• abhiagwl / vistan
  A simple library to run variational inference on Stan models.
  ☆33Updated 2 years ago
• ryantibs / conformal
  Tools for conformal inference in regression
  ☆251Updated last year
• ColCarroll / minimc
  Just a little MCMC
  ☆234Updated last year