Alternatives and similar repositories for lab:

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

• NeilGirdhar / efax
  Exponential families for JAX
  ☆63Updated this week
• jeremiecoullon / SGMCMCJax
  Lightweight library of stochastic gradient MCMC algorithms written in JAX.
  ☆102Updated last year
• pnkraemer / matfree
  Matrix-free linear algebra in JAX.
  ☆116Updated 2 months ago
• aterenin / SparseGPAX
  An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.
  ☆22Updated 4 years ago
• pnkraemer / probdiffeq
  Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…
  ☆44Updated this week
• danielward27 / flowjax
  ☆152Updated 3 weeks ago
• pnkraemer / tornadox
  Probabilistic ODE solvers are fun, but are they fast? See also: https://github.com/pnkraemer/probdiffeq for JAX code or https://github.c…
  ☆21Updated 8 months ago
• EEA-sensors / sqrt-parallel-smoothers
  A generic library for linear and non-linear Gaussian smoothing problems. The code leverages JAX and implements several linearization algo…
  ☆12Updated 3 months ago
• aterenin / SparseGaussianProcesses.jl
  A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.
  ☆33Updated 4 years ago
• NeilGirdhar / tjax
  Tools for JAX
  ☆45Updated this week
• Information-Fusion-Lab-Umass / NuX
  Normalizing Flows using JAX
  ☆83Updated last year
• blackjax-devs / sampling-book
  Tutorials and sampling algorithm comparisons
  ☆72Updated this week
• jax-ml / coix
  Inference Combinators in JAX
  ☆47Updated 5 months ago
• sbi-benchmark / sbibm
  Simulation-based inference benchmark
  ☆97Updated 2 months ago
• justindomke / pangolin
  probabilistic programming focused on fun
  ☆40Updated 5 months ago
• sbi-dev / pyknos
  Conditional density estimation with neural networks
  ☆30Updated 2 months ago
• probabilistic-numerics / probnum-spring-school
  Tutorial materials of the Probabilistic Numerics Spring School.
  ☆34Updated last year
• patrick-kidger / quax
  Multiple dispatch over abstract array types in JAX.
  ☆115Updated this week
• j-wilson / GPflowSampling
  Code for efficiently sampling functions from GP(flow) posteriors
  ☆71Updated 4 years ago
• cgarciae / simple-pytree
  A dead simple Python package for creating custom JAX pytree objects
  ☆63Updated 4 months ago
• aesara-devs / aemcmc
  AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.
  ☆39Updated last year
• SaitejaUtpala / rieoptax
  Riemannian Optimization Using JAX
  ☆48Updated last year
• ASEM000 / kernex
  Stencil computations in JAX
  ☆70Updated last year
• cambridge-mlg / sgd-gp
  Public code for running Stochastic Gradient Descent on GPs.
  ☆36Updated 5 months ago
• AaltoML / kalman-jax
  Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX
  ☆98Updated last year
• jamesvuc / jax-bayes
  Bayesian inference with Python and Jax.
  ☆32Updated 2 years ago
• google-deepmind / annealed_flow_transport
  ☆50Updated 2 years ago
• MilesCranmer / sympy2jax
  Turning SymPy expressions into JAX functions
  ☆44Updated 4 years ago
• modichirag / GSM-VI
  Code for Gaussian Score Matching Variational Inference
  ☆33Updated last month
• wesselb / varz
  Painless optimisation of constrained variables in AutoGrad, TensorFlow, PyTorch, and JAX
  ☆23Updated 2 years ago