Alternatives and similar repositories for PGMax

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

• xl0 / lovely-jax
  JAX Arrays for human consumption
  ☆109Updated last week
• jax-ml / oryx
  Oryx is a library for probabilistic programming and deep learning built on top of Jax.
  ☆280Updated 2 weeks ago
• paganpasta / eqxvision
  A Python package of computer vision models for the Equinox ecosystem.
  ☆109Updated last year
• jamesvuc / jax-bayes
  Bayesian inference with Python and Jax.
  ☆34Updated 2 years ago
• AaltoML / kalman-jax
  Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX
  ☆102Updated 2 years ago
• jeremiecoullon / jax-tqdm
  Add a tqdm progress bar to your JAX scans and loops.
  ☆117Updated 5 months ago
• vicariousinc / PGMax
  Loopy belief propagation for factor graphs on discrete variables, in JAX!
  ☆65Updated last year
• wilson-labs / cola
  Compositional Linear Algebra
  ☆489Updated 2 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.
  ☆239Updated last year
• google-deepmind / tf2jax
  ☆115Updated last month
• google-deepmind / synjax
  ☆247Updated 3 months ago
• SaitejaUtpala / rieoptax
  Riemannian Optimization Using JAX
  ☆53Updated last year
• wesselb / lab
  A generic interface for linear algebra backends
  ☆74Updated 7 months ago
• alonfnt / bayex
  Minimal Implementation of Bayesian Optimization in JAX
  ☆98Updated 6 months ago
• normal-computing / posteriors
  Uncertainty quantification with PyTorch
  ☆375Updated 2 weeks ago
• google-research / hyperbo
  Pre-trained Gaussian processes for Bayesian optimization
  ☆97Updated 6 months ago
• patrick-kidger / sympy2jax
  Turn SymPy expressions into trainable JAX expressions.
  ☆351Updated 6 months ago
• marin-community / haliax
  Named Tensors for Legible Deep Learning in JAX
  ☆210Updated last week
• bremen79 / parameterfree
  Parameter-Free Optimizers for Pytorch
  ☆131Updated last year
• jeremiecoullon / SGMCMCJax
  Lightweight library of stochastic gradient MCMC algorithms written in JAX.
  ☆105Updated 2 years ago
• samuela / torch2jax
  Run PyTorch in JAX. 🤝
  ☆305Updated last week
• patrick-kidger / optimistix
  Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/
  ☆481Updated this week
• probml / rebayes
  Recursive Bayesian Estimation (Sequential / Online Inference)
  ☆59Updated last year
• cgarciae / ciclo
  A functional training loops library for JAX
  ☆88Updated last year
• BirkhoffG / jax-dataloader
  Pytorch-like dataloaders for JAX.
  ☆93Updated 4 months ago
• cgarciae / treeo
  A small library for creating and manipulating custom JAX Pytree classes
  ☆56Updated 2 years ago
• cornellius-gp / linear_operator
  A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch
  ☆115Updated 3 weeks ago
• patrick-kidger / quax
  Multiple dispatch over abstract array types in JAX.
  ☆131Updated last week
• google-deepmind / kfac-jax
  Second Order Optimization and Curvature Estimation with K-FAC in JAX.
  ☆293Updated last week
• probml / sts-jax
  Structural Time Series in JAX
  ☆200Updated last year