Alternatives and similar repositories for JSL

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

• NeilGirdhar / efax
  Exponential families for JAX
  ☆75Updated this week
• ExpectationMax / sklearn-jax-kernels
  Composable kernels for scikit-learn implemented in JAX.
  ☆45Updated 5 years ago
• AaltoML / kalman-jax
  Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX
  ☆102Updated 2 years ago
• blackjax-devs / sampling-book
  Tutorials and sampling algorithm comparisons
  ☆79Updated this week
• cgarciae / treeo
  A small library for creating and manipulating custom JAX Pytree classes
  ☆56Updated 2 years ago
• probml / rebayes
  Recursive Bayesian Estimation (Sequential / Online Inference)
  ☆60Updated last year
• jeremiecoullon / SGMCMCJax
  Lightweight library of stochastic gradient MCMC algorithms written in JAX.
  ☆105Updated 2 years ago
• wesselb / lab
  A generic interface for linear algebra backends
  ☆75Updated last month
• NeilGirdhar / tjax
  Tools for JAX
  ☆49Updated this week
• aterenin / SparseGPAX
  An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.
  ☆22Updated 4 years ago
• ASEM000 / pytreeclass
  Visualize, create, and operate on pytrees in the most intuitive way possible.
  ☆45Updated 11 months ago
• SymJAX / SymJAX
  Documentation:
  ☆125Updated 2 years ago
• vicariousinc / PGMax
  Loopy belief propagation for factor graphs on discrete variables, in JAX!
  ☆65Updated last year
• lindermanlab / ssm-jax
  Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend
  ☆61Updated last year
• StannisZhou / mixed_hmc
  ☆12Updated 3 years ago
• EEA-sensors / sequential-parallelization-examples
  This is a collection of code samples aimed at illustrating temporal parallelization methods for sequential data.
  ☆33Updated 2 years ago
• MilesCranmer / sympy2jax
  Turning SymPy expressions into JAX functions
  ☆45Updated 4 years ago
• probml / bandits
  Bayesian Bandits
  ☆68Updated 2 years ago
• ethanluoyc / dhmc-jax
  Discontinuous Hamiltonian Monte Carlo in JAX
  ☆42Updated 5 years ago
• Information-Fusion-Lab-Umass / NuX
  Normalizing Flows using JAX
  ☆85Updated 2 years ago
• paganpasta / eqxvision
  A Python package of computer vision models for the Equinox ecosystem.
  ☆109Updated last year
• karalets / TyXe
  Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)
  ☆42Updated 4 years ago
• alexub / jax-meta-learning
  Simple, extensible implementations of some meta-learning algorithms in Jax
  ☆10Updated 5 years ago
• pierresegonne / VINF
  Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen
  ☆26Updated 5 years ago
• ASEM000 / kernex
  Stencil computations in JAX
  ☆71Updated last month
• JonathanWenger / itergp
  IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)
  ☆43Updated 2 years ago
• canyon289 / ssm_book_club
  ☆18Updated 2 years ago
• probml / sts-jax
  Structural Time Series in JAX
  ☆212Updated last year
• AaltoML / BayesNewton
  Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.
  ☆241Updated 2 years ago
• vr308 / Generalised-Gaussian-Processes
  Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods
  ☆22Updated 2 years ago