Alternatives and similar repositories for blackjax

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

• JaxGaussianProcesses / GPJax
  Gaussian processes in JAX and Flax.
  ☆515Updated 2 weeks ago
• google-deepmind / distrax
  ☆572Updated 2 weeks ago
• google / jaxopt
  Hardware accelerated, batchable and differentiable optimizers in JAX.
  ☆971Updated last month
• patrick-kidger / optimistix
  Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/
  ☆423Updated this week
• patrick-kidger / lineax
  Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax
  ☆445Updated this week
• probml / dynamax
  A Python package for probabilistic state space modeling with JAX
  ☆824Updated 3 weeks ago
• dfm / tinygp
  The tiniest of Gaussian Process libraries
  ☆307Updated 3 weeks ago
• google-deepmind / chex
  ☆855Updated last week
• jax-ml / oryx
  Oryx is a library for probabilistic programming and deep learning built on top of Jax.
  ☆261Updated this week
• pyro-ppl / numpyro
  Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
  ☆2,457Updated this week
• patrick-kidger / diffrax
  Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
  ☆1,651Updated this week
• jax-ml / bayeux
  State of the art inference for your bayesian models.
  ☆218Updated last month
• fehiepsi / rethinking-numpyro
  Statistical Rethinking (2nd ed.) with NumPyro
  ☆458Updated 3 weeks ago
• probabilistic-numerics / probnum
  Probabilistic Numerics in Python.
  ☆449Updated last year
• patrick-kidger / equinox
  Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
  ☆2,375Updated last week
• patrick-kidger / sympy2jax
  Turn SymPy expressions into trainable JAX expressions.
  ☆337Updated last month
• ott-jax / ott
  Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.
  ☆600Updated 2 weeks ago
• rlouf / mcx
  Express & compile probabilistic programs for performant inference on CPU & GPU. Powered by JAX.
  ☆330Updated last year
• danielward27 / flowjax
  ☆161Updated 3 weeks ago
• mpi4jax / mpi4jax
  Zero-copy MPI communication of JAX arrays, for turbo-charged HPC applications in Python
  ☆476Updated 2 months ago
• sbi-dev / sbi
  sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you nee…
  ☆701Updated this week
• normal-computing / posteriors
  Uncertainty quantification with PyTorch
  ☆357Updated last month
• google / tree-math
  Mathematical operations for JAX pytrees
  ☆198Updated 5 months ago
• google-deepmind / optax
  Optax is a gradient processing and optimization library for JAX.
  ☆1,908Updated this week
• kazewong / flowMC
  Normalizing-flow enhanced sampling package for probabilistic inference in Jax
  ☆239Updated this week
• 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
• wilson-labs / cola
  Compositional Linear Algebra
  ☆474Updated last week
• n2cholas / awesome-jax
  JAX - A curated list of resources https://github.com/google/jax
  ☆1,820Updated 3 months ago
• patrick-kidger / jaxtyping
  Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays. https://docs.kidger.site/jaxtyping/
  ☆1,422Updated last month
• google-deepmind / kfac-jax
  Second Order Optimization and Curvature Estimation with K-FAC in JAX.
  ☆275Updated last week