Alternatives and similar repositories for SGMCMCJax

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

• Information-Fusion-Lab-Umass / NuX
  Normalizing Flows using JAX
  ☆83Updated last year
• danielward27 / flowjax
  ☆161Updated 3 weeks ago
• wesselb / lab
  A generic interface for linear algebra backends
  ☆73Updated 3 months ago
• sbi-benchmark / sbibm
  Simulation-based inference benchmark
  ☆97Updated 4 months ago
• NeilGirdhar / efax
  Exponential families for JAX
  ☆69Updated this week
• sbi-dev / pyknos
  Conditional density estimation with neural networks
  ☆31Updated 4 months ago
• blackjax-devs / sampling-book
  Tutorials and sampling algorithm comparisons
  ☆75Updated this week
• jamesvuc / jax-bayes
  Bayesian inference with Python and Jax.
  ☆32Updated 2 years ago
• jax-ml / bayeux
  State of the art inference for your bayesian models.
  ☆218Updated last month
• AaltoML / kalman-jax
  Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX
  ☆99Updated last year
• secondmind-labs / GPflux
  Deep GPs built on top of TensorFlow/Keras and GPflow
  ☆125Updated 7 months 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.
  ☆232Updated last year
• probabilists / lampe
  Likelihood-free AMortized Posterior Estimation with PyTorch
  ☆128Updated 9 months ago
• gpapamak / snl
  Sequential Neural Likelihood
  ☆40Updated 5 years ago
• alonfnt / bayex
  Minimal Implementation of Bayesian Optimization in JAX
  ☆95Updated last month
• modichirag / GSM-VI
  Code for Gaussian Score Matching Variational Inference
  ☆33Updated 3 months ago
• Joshuaalbert / jaxns
  Probabilistic Programming and Nested sampling in JAX
  ☆182Updated this week
• google-deepmind / annealed_flow_transport
  ☆52Updated 2 years ago
• jeremiecoullon / jax-tqdm
  Add a tqdm progress bar to your JAX scans and loops.
  ☆109Updated 3 weeks ago
• j-wilson / GPflowSampling
  Code for efficiently sampling functions from GP(flow) posteriors
  ☆72Updated 4 years ago
• pnkraemer / matfree
  Matrix-free linear algebra in JAX.
  ☆119Updated last week
• ASEM000 / kernex
  Stencil computations in JAX
  ☆71Updated last year
• cgarciae / simple-pytree
  A dead simple Python package for creating custom JAX pytree objects
  ☆63Updated 6 months ago
• NeilGirdhar / tjax
  Tools for JAX
  ☆47Updated this week
• SymJAX / SymJAX
  Documentation:
  ☆120Updated 2 years ago
• cornellius-gp / linear_operator
  A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch
  ☆110Updated 2 months ago
• conormdurkan / lfi
  Neural likelihood-free methods in PyTorch.
  ☆39Updated 5 years ago
• patrick-kidger / quax
  Multiple dispatch over abstract array types in JAX.
  ☆124Updated this week
• amzn / orthogonal-additive-gaussian-processes
  Light-weighted code for Orthogonal Additive Gaussian Processes
  ☆42Updated 10 months ago
• jax-ml / oryx
  Oryx is a library for probabilistic programming and deep learning built on top of Jax.
  ☆261Updated this week