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.
  ☆543Updated this week
• blackjax-devs / blackjax
  BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.
  ☆960Updated last week
• probml / dynamax
  A Python package for probabilistic state space modeling with JAX
  ☆875Updated 3 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.
  ☆130Updated 5 months ago
• sbi-benchmark / sbibm
  Simulation-based inference benchmark
  ☆103Updated 9 months ago
• kazewong / flowMC
  Normalizing-flow enhanced sampling package for probabilistic inference in Jax
  ☆251Updated 2 months ago
• AdamCobb / hamiltorch
  PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks
  ☆459Updated last year
• bayesflow-org / bayesflow
  A Python library for amortized Bayesian workflows using generative neural networks.
  ☆614Updated last week
• nchopin / particles
  Sequential Monte Carlo in python
  ☆471Updated last 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.
  ☆239Updated last year
• matt-graham / mici
  Manifold Markov chain Monte Carlo methods in Python
  ☆233Updated last month
• probabilists / lampe
  Likelihood-free AMortized Posterior Estimation with PyTorch
  ☆131Updated last year
• undark-lab / swyft
  A system for scientific simulation-based inference at scale.
  ☆164Updated last year
• mackelab / simformer
  Combination of transformers and diffusion models for flexible all-in-one simulation-based inference
  ☆72Updated 4 months ago
• danielward27 / flowjax
  ☆192Updated this week
• patrick-kidger / optimistix
  Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/
  ☆481Updated this week
• patrick-kidger / diffrax
  Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
  ☆1,800Updated 3 weeks ago
• pints-team / pints
  Probabilistic Inference on Noisy Time Series
  ☆239Updated last month
• ott-jax / ott
  Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.
  ☆662Updated this week
• ColCarroll / minimc
  Just a little MCMC
  ☆232Updated last year
• secondmind-labs / GPflux
  Deep GPs built on top of TensorFlow/Keras and GPflow
  ☆127Updated last year
• mlcolab / sbi-workshop
  SBI Workshop jointly by Helmholtz AI + ML ⇌ Science Colaboratory
  ☆23Updated 2 years ago
• f0uriest / interpax
  Interpolation and function approximation with JAX
  ☆225Updated last week
• lindermanlab / ssm
  Bayesian learning and inference for state space models
  ☆657Updated 5 months ago
• jax-ml / bayeux
  State of the art inference for your bayesian models.
  ☆226Updated 5 months ago
• ICB-DCM / pyABC
  distributed, likelihood-free inference
  ☆217Updated 4 months ago
• Joshuaalbert / jaxns
  Probabilistic Programming and Nested sampling in JAX
  ☆209Updated 2 months ago
• probabilists / zuko
  Normalizing flows in PyTorch
  ☆410Updated last week
• probabilisticai / nordic-probai-2024
  Materials of the Nordic Probabilistic AI School 2024.
  ☆66Updated last year