Alternatives and similar repositories for mixed_hmc:

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

• aterenin / SparseGPAX
  An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.
  ☆22Updated 3 years ago
• blei-lab / variational-smc
  Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)
  ☆65Updated 5 years ago
• wesselb / lab
  A generic interface for linear algebra backends
  ☆71Updated 3 weeks ago
• justindomke / pangolin
  probabilistic programming focused on fun
  ☆40Updated 4 months ago
• jeremiecoullon / SGMCMCJax
  Lightweight library of stochastic gradient MCMC algorithms written in JAX.
  ☆102Updated last year
• gpschool / gpss20
  Gaussian Process and Uncertainty Quantification Summer School 2020
  ☆33Updated 2 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
• blackjax-devs / sampling-book
  Tutorials and sampling algorithm comparisons
  ☆72Updated this week
• aterenin / SparseGaussianProcesses.jl
  A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.
  ☆33Updated 4 years ago
• zoj613 / polyagamma
  An efficient and flexible sampler of the Pólya-Gamma distribution with a NumPy/SciPy compatible interface.
  ☆24Updated 2 weeks ago
• pyro-ppl / pyro-models
  Repository of models in Pyro
  ☆29Updated 7 months ago
• aseyboldt / covadapt
  Low rank adaptation of covariance matrices for nuts sampling in pymc3
  ☆14Updated 2 years ago
• AlCorreia / GeFs
  Generative Forests in Python
  ☆34Updated last year
• jax-ml / coix
  Inference Combinators in JAX
  ☆46Updated 4 months ago
• karalets / TyXe
  Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)
  ☆42Updated 3 years ago
• NeilGirdhar / efax
  Exponential families for JAX
  ☆63Updated this week
• rgiordan / paragami
  "Parameter origami" -- folding and unfolding collections of parameters for optimization and sensitivity analysis.
  ☆14Updated last year
• pierresegonne / VINF
  Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen
  ☆25Updated 4 years ago
• wjmaddox / spectralgp
  Code repo for "Function-Space Distributions over Kernels"
  ☆31Updated 4 years ago
• tbrx / compiled-inference
  Train neural networks to use as SMC and importance sampling proposals
  ☆24Updated 7 years ago
• IPL-UV / jaxkern
  A lightweight didactic library of kernel methods using the back-end JAX.
  ☆12Updated 2 years ago
• thjashin / solvegp
  Sparse Orthogonal Variational Inference for Gaussian Processes (SOLVE-GP)
  ☆22Updated 3 years ago
• AaltoML / kalman-jax
  Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX
  ☆98Updated last year
• probml / JSL
  Jax SSM Library
  ☆49Updated 2 years ago
• pierrejacob / unbiasedmcmc
  Unbiased Markov chain Monte Carlo with couplings
  ☆29Updated 2 years ago
• rgiordan / vittles
  "Variational inference tools to leverage estimator sensitivity."
  ☆16Updated last year
• aesara-devs / aemcmc
  AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.
  ☆39Updated last year
• conormdurkan / lfi
  Neural likelihood-free methods in PyTorch.
  ☆39Updated 5 years ago
• aesara-devs / aehmc
  An HMC/NUTS implementation in Aesara
  ☆32Updated last year
• pyro-ppl / brmp
  Bayesian Regression Models in Pyro
  ☆71Updated 7 months ago