Alternatives and similar repositories for viabel

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

• abhiagwl / vistan
  A simple library to run variational inference on Stan models.
  ☆33Updated 2 years ago
• pierrejacob / couplingsmontecarlo
  some scripts for the couplings enthusiasts!
  ☆32Updated 5 years ago
• stan-dev / posteriordb
  Database with posteriors of interest for Bayesian inference
  ☆212Updated 3 months ago
• justindomke / pangolin
  probabilistic programming focused on fun
  ☆49Updated this week
• blackjax-devs / sampling-book
  Tutorials and sampling algorithm comparisons
  ☆79Updated this week
• pierrejacob / unbiasedmcmc
  Unbiased Markov chain Monte Carlo with couplings
  ☆30Updated 3 years ago
• ae-foster / dad
  Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design
  ☆39Updated 4 years ago
• aterenin / SparseGPAX
  An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.
  ☆21Updated 4 years ago
• jeremiecoullon / SGMCMCJax
  Lightweight library of stochastic gradient MCMC algorithms written in JAX.
  ☆105Updated 2 years ago
• YunyiShen / wild-posteriors-in-the-wild
  Posterior with interesting shapes from actually used models
  ☆13Updated 10 months ago
• jax-ml / bayeux
  State of the art inference for your bayesian models.
  ☆232Updated 7 months ago
• martiningram / jax_advi
  ☆16Updated 8 months ago
• pyro-ppl / brmp
  Bayesian Regression Models in Pyro
  ☆73Updated last year
• aterenin / SparseGaussianProcesses.jl
  A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.
  ☆33Updated 5 years ago
• AaltoML / BayesNewton
  Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.
  ☆241Updated last year
• oxcsml / ML_bazaar
  OxCSML research group reading groups and meetings at the Department of Statistics, University of Oxford.
  ☆94Updated 4 years ago
• aki-nishimura / discontinuous-hmc
  "Discontinuous Hamiltonian Monte Carlo for sampling discrete parameters" by Akihiko Nishimura, David Dunson, Jianfeng Lu
  ☆29Updated 7 years ago
• flatironinstitute / bayes-kit
  Bayesian inference and posterior analysis for Python
  ☆46Updated 2 years ago
• bob-carpenter / walnuts
  Step size adaptation for the No-U-Turn Sampler
  ☆26Updated 2 weeks ago
• sbi-benchmark / sbibm
  Simulation-based inference benchmark
  ☆107Updated 10 months ago
• StannisZhou / mixed_hmc
  ☆12Updated 3 years ago
• wesselb / lab
  A generic interface for linear algebra backends
  ☆75Updated last month
• ImperialCollegeLondon / csml-reading-group
  Computational statistics and machine learning reading group at Imperial College London (2019-2020)
  ☆24Updated last month
• alpiges / LinConGauss
  Integrals of Gaussians under linear domain constraints
  ☆15Updated 5 years ago
• mattiasvillani / AdvBayesLearnCourse
  Course material for the PhD course in Advanced Bayesian Learning
  ☆60Updated 9 months ago
• markvdw / RobustGP
  Robust initialisation of inducing points in sparse variational GP regression models.
  ☆33Updated 3 years ago
• aesara-devs / aeppl
  Tools for an Aesara-based PPL.
  ☆67Updated last year
• cambridge-mlg / sgd-gp
  Public code for running Stochastic Gradient Descent on GPs.
  ☆39Updated 7 months ago
• gpschool / gpss20
  Gaussian Process and Uncertainty Quantification Summer School 2020
  ☆33Updated 3 years ago
• JeremiasKnoblauch / GVIPublic
  Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)
  ☆20Updated 6 years ago