StannisZhou / mixed_hmc

Related projects ⓘ

Alternatives and complementary repositories for mixed_hmc

• aseyboldt / covadapt
  Low rank adaptation of covariance matrices for nuts sampling in pymc3
  ☆14Updated 2 years ago
• aterenin / SparseGPAX
  An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.
  ☆22Updated 3 years ago
• aki-nishimura / discontinuous-hmc
  "Discontinuous Hamiltonian Monte Carlo for sampling discrete parameters" by Akihiko Nishimura, David Dunson, Jianfeng Lu
  ☆27Updated 6 years ago
• probml / JSL
  Jax SSM Library
  ☆49Updated 2 years ago
• wjmaddox / spectralgp
  Code repo for "Function-Space Distributions over Kernels"
  ☆31Updated 3 years ago
• wesselb / lab
  A generic interface for linear algebra backends
  ☆70Updated 5 months ago
• IPL-UV / jaxkern
  A lightweight didactic library of kernel methods using the back-end JAX.
  ☆12Updated last year
• karalets / TyXe
  Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)
  ☆42Updated 3 years ago
• jhuggins / viabel
  Efficient, lightweight variational inference and approximation bounds
  ☆42Updated 11 months ago
• jeremiecoullon / SGMCMCJax
  Lightweight library of stochastic gradient MCMC algorithms written in JAX.
  ☆96Updated last year
• rgiordan / vittles
  "Variational inference tools to leverage estimator sensitivity."
  ☆16Updated last year
• rlouf / blog-benchmark-rwmetropolis
  Code to reproduce the results of 👇
  ☆18Updated 2 years ago
• zoj613 / polyagamma
  An efficient and flexible sampler of the Pólya-Gamma distribution with a NumPy/SciPy compatible interface.
  ☆24Updated 2 weeks ago
• aterenin / SparseGaussianProcesses.jl
  A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.
  ☆33Updated 4 years ago
• jax-ml / coix
  Inference Combinators in JAX
  ☆45Updated last month
• pyro-ppl / pyro-models
  Repository of models in Pyro
  ☆29Updated 3 months ago
• blei-lab / variational-smc
  Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)
  ☆64Updated 5 years ago
• canyon289 / ssm_book_club
  ☆18Updated last year
• NeilGirdhar / efax
  Exponential families for JAX
  ☆55Updated this week
• blackjax-devs / sampling-book
  Tutorials and sampling algorithm comparisons
  ☆69Updated this week
• justindomke / pangolin
  probabilistic programming focused on fun
  ☆36Updated 3 weeks ago
• wesselb / gpar
  Implementation of the Gaussian Process Autoregressive Regression Model
  ☆61Updated 3 years ago
• vr308 / Generalised-Gaussian-Processes
  Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods
  ☆21Updated last year
• abhiagwl / vistan
  A simple library to run variational inference on Stan models.
  ☆27Updated last year
• martiningram / jax_advi
  ☆13Updated 3 years ago
• PredictiveIntelligenceLab / JAX-BO
  ☆30Updated 2 years ago
• wesselb / mlkernels
  Kernels, the machine learning ones
  ☆14Updated last year
• pierrejacob / unbiasedmcmc
  Unbiased Markov chain Monte Carlo with couplings
  ☆29Updated 2 years ago
• AaltoML / kalman-jax
  Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX
  ☆95Updated last year