jhuggins / viabel

Related projects ⓘ

Alternatives and complementary repositories for viabel

• abhiagwl / vistan
  A simple library to run variational inference on Stan models.
  ☆27Updated last year
• stan-dev / posteriordb
  Database with posteriors of interest for Bayesian inference
  ☆182Updated 3 months ago
• pierrejacob / couplingsmontecarlo
  some scripts for the couplings enthusiasts!
  ☆31Updated 4 years ago
• pierrejacob / unbiasedmcmc
  Unbiased Markov chain Monte Carlo with couplings
  ☆29Updated 2 years ago
• flatironinstitute / bayes-kit
  Bayesian inference and posterior analysis for Python
  ☆43Updated 11 months ago
• pyro-ppl / brmp
  Bayesian Regression Models in Pyro
  ☆70Updated 3 months ago
• jeremiecoullon / SGMCMCJax
  Lightweight library of stochastic gradient MCMC algorithms written in JAX.
  ☆96Updated last year
• blackjax-devs / sampling-book
  Tutorials and sampling algorithm comparisons
  ☆68Updated this week
• aterenin / SparseGPAX
  An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.
  ☆22Updated 3 years ago
• justindomke / pangolin
  probabilistic programming focused on fun
  ☆36Updated 3 weeks ago
• aki-nishimura / discontinuous-hmc
  "Discontinuous Hamiltonian Monte Carlo for sampling discrete parameters" by Akihiko Nishimura, David Dunson, Jianfeng Lu
  ☆27Updated 6 years ago
• aterenin / SparseGaussianProcesses.jl
  A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.
  ☆33Updated 4 years ago
• oxcsml / ML_bazaar
  OxCSML research group reading groups and meetings at the Department of Statistics, University of Oxford.
  ☆92Updated 2 years ago
• jax-ml / bayeux
  State of the art inference for your bayesian models.
  ☆176Updated last week
• ImperialCollegeLondon / csml-reading-group
  Computational statistics and machine learning reading group at Imperial College London (2019-2020)
  ☆24Updated this week
• jax-ml / coix
  Inference Combinators in JAX
  ☆44Updated 3 weeks ago
• bob-carpenter / adaptive-hmc
  Self-tuning HMC algorithms and evaluations
  ☆18Updated last month
• wesselb / lab
  A generic interface for linear algebra backends
  ☆70Updated 4 months ago
• liesel-devs / liesel
  A probabilistic programming framework
  ☆40Updated 3 weeks ago
• mattiasvillani / AdvBayesLearnCourse
  Course material for the PhD course in Advanced Bayesian Learning
  ☆56Updated 2 weeks ago
• betanalpha / mcmc_diagnostics
  Markov chain Monte Carlo general, and Hamiltonian Monte Carlo specific, diagnostics for Stan
  ☆79Updated 2 months ago
• bernarditaried / ZigZag-Sampling-Tutorial
  This tutorial is a basic guide to understanding the Zig-Zag Sampling method. This document is released with the aim of diffusion and shar…
  ☆18Updated 5 years ago
• NeilGirdhar / efax
  Exponential families for JAX
  ☆55Updated this week
• sbi-benchmark / sbibm
  Simulation-based inference benchmark
  ☆90Updated 8 months ago
• martiningram / jax_advi
  ☆13Updated 3 years ago
• geraschenko / gmrfs
  Gaussian Markov Random Fields (GMRFs) and Integrated Nested Laplace Approximation (INLA)
  ☆19Updated 7 months ago
• elizavetasemenova / prob-epi
  Course materials of "Bayesian Modelling and Probabilistic Programming" with NumPyro, initially created for "AI for Science" MSc at the Af…
  ☆48Updated last week
• pierrejacob / winference
  R package to perform statistical inference in generative models using the Wasserstein distance (requires CGAL)
  ☆24Updated 4 years ago
• rgiordan / vittles
  "Variational inference tools to leverage estimator sensitivity."
  ☆16Updated last year
• roualdes / bridgestan
  BridgeStan provides efficient in-memory access through Python, Julia, and R to the methods of a Stan model.
  ☆95Updated last week