Alternatives and similar repositories for sbi

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

• JaxGaussianProcesses / GPJax
  Gaussian processes in JAX and Flax.
  ☆539Updated last week
• blackjax-devs / blackjax
  BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.
  ☆954Updated 5 months ago
• probml / dynamax
  A Python package for probabilistic state space modeling with JAX
  ☆870Updated 2 months ago
• probabilistic-numerics / probnum
  Probabilistic Numerics in Python.
  ☆458Updated 3 months ago
• smsharma / awesome-neural-sbi
  Community-sourced list of papers and resources on neural simulation-based inference.
  ☆127Updated 4 months ago
• sbi-benchmark / sbibm
  Simulation-based inference benchmark
  ☆102Updated 8 months ago
• dfm / tinygp
  The tiniest of Gaussian Process libraries
  ☆317Updated last month
• bayesflow-org / bayesflow
  A Python library for amortized Bayesian workflows using generative neural networks.
  ☆607Updated this week
• AdamCobb / hamiltorch
  PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks
  ☆458Updated last year
• kazewong / flowMC
  Normalizing-flow enhanced sampling package for probabilistic inference in Jax
  ☆250Updated last month
• nchopin / particles
  Sequential Monte Carlo in python
  ☆466Updated 2 weeks ago
• danielward27 / flowjax
  ☆189Updated last month
• mackelab / simformer
  Combination of transformers and diffusion models for flexible all-in-one simulation-based inference
  ☆70Updated 3 months ago
• lindermanlab / ssm
  Bayesian learning and inference for state space models
  ☆648Updated 4 months ago
• probabilists / lampe
  Likelihood-free AMortized Posterior Estimation with PyTorch
  ☆131Updated last year
• fehiepsi / rethinking-numpyro
  Statistical Rethinking (2nd ed.) with NumPyro
  ☆461Updated 5 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.
  ☆237Updated last year
• probabilists / zuko
  Normalizing flows in PyTorch
  ☆408Updated 4 months ago
• jaxleyverse / jaxley
  Differentiable neuron simulations with biophysical detail on CPU, GPU, or TPU.
  ☆115Updated 2 weeks ago
• ott-jax / ott
  Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.
  ☆644Updated this week
• patrick-kidger / optimistix
  Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/
  ☆473Updated this week
• bayesiains / nflows
  Normalizing flows in PyTorch
  ☆959Updated 9 months ago
• undark-lab / swyft
  A system for scientific simulation-based inference at scale.
  ☆164Updated last year
• matt-graham / mici
  Manifold Markov chain Monte Carlo methods in Python
  ☆233Updated 3 weeks ago
• jax-ml / bayeux
  State of the art inference for your bayesian models.
  ☆222Updated 5 months ago
• secondmind-labs / GPflux
  Deep GPs built on top of TensorFlow/Keras and GPflow
  ☆127Updated 11 months ago
• patrick-kidger / diffrax
  Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
  ☆1,777Updated 2 weeks ago
• ColCarroll / minimc
  Just a little MCMC
  ☆231Updated last year
• google-deepmind / distrax
  ☆595Updated last month
• patrick-kidger / lineax
  Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax
  ☆480Updated last month