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
  ☆73Updated 2 weeks ago
• jeremiecoullon / SGMCMCJax
  Lightweight library of stochastic gradient MCMC algorithms written in JAX.
  ☆104Updated last year
• pnkraemer / matfree
  Matrix-free linear algebra in JAX.
  ☆130Updated last week
• sbi-benchmark / sbibm
  Simulation-based inference benchmark
  ☆99Updated 6 months ago
• Information-Fusion-Lab-Umass / NuX
  Normalizing Flows using JAX
  ☆84Updated last year
• ASEM000 / kernex
  Stencil computations in JAX
  ☆71Updated last year
• 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 last year
• MilesCranmer / sympy2jax
  Turning SymPy expressions into JAX functions
  ☆45Updated 4 years ago
• aterenin / SparseGPAX
  An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.
  ☆22Updated 4 years ago
• blackjax-devs / sampling-book
  Tutorials and sampling algorithm comparisons
  ☆75Updated this week
• pnkraemer / probdiffeq
  Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…
  ☆49Updated 4 months ago
• alonfnt / bayex
  Minimal Implementation of Bayesian Optimization in JAX
  ☆95Updated 3 months ago
• cgarciae / simple-pytree
  A dead simple Python package for creating custom JAX pytree objects
  ☆64Updated 8 months ago
• patrick-kidger / quax
  Multiple dispatch over abstract array types in JAX.
  ☆127Updated last month
• AaltoML / BayesNewton
  Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.
  ☆234Updated last year
• j-wilson / GPflowSampling
  Code for efficiently sampling functions from GP(flow) posteriors
  ☆72Updated 4 years ago
• jax-ml / oryx
  Oryx is a library for probabilistic programming and deep learning built on top of Jax.
  ☆276Updated 2 weeks 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
  ☆49Updated last week
• cornellius-gp / linear_operator
  A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch
  ☆112Updated 4 months ago
• google-deepmind / annealed_flow_transport
  ☆52Updated 2 years ago
• danielward27 / flowjax
  ☆178Updated 3 weeks ago
• JonathanWenger / itergp
  IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)
  ☆42Updated 2 years ago
• wesselb / varz
  Painless optimisation of constrained variables in AutoGrad, TensorFlow, PyTorch, and JAX
  ☆23Updated 2 years ago
• aesara-devs / aemcmc
  AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.
  ☆39Updated last year
• google / tree-math
  Mathematical operations for JAX pytrees
  ☆198Updated 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 8 months ago
• modichirag / GSM-VI
  Code for Gaussian Score Matching Variational Inference
  ☆34Updated 5 months ago
• ylefay / bayesianSDEsolver
  Efficient SDE samplers including Gaussian-based probabilistic solvers. Written in JAX.
  ☆10Updated 5 months ago
• jax-ml / bayeux
  State of the art inference for your bayesian models.
  ☆220Updated 3 months ago