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.
  ☆487Updated 2 weeks ago
• blackjax-devs / blackjax
  BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.
  ☆887Updated last month
• bayesflow-org / bayesflow
  A Python library for amortized Bayesian workflows using generative neural networks.
  ☆442Updated this week
• dfm / tinygp
  The tiniest of Gaussian Process libraries
  ☆305Updated last week
• probml / dynamax
  State Space Models library in JAX
  ☆745Updated this week
• probabilistic-numerics / probnum
  Probabilistic Numerics in Python.
  ☆448Updated 10 months ago
• kazewong / flowMC
  Normalizing-flow enhanced sampling package for probabilistic inference in Jax
  ☆224Updated last week
• smsharma / awesome-neural-sbi
  Community-sourced list of papers and resources on neural simulation-based inference.
  ☆111Updated 2 months ago
• sbi-benchmark / sbibm
  Simulation-based inference benchmark
  ☆96Updated 2 months ago
• AdamCobb / hamiltorch
  PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks
  ☆437Updated 6 months ago
• jaxleyverse / jaxley
  Differentiable neuron simulations with biophysical detail on CPU, GPU, or TPU.
  ☆85Updated last week
• minaskar / zeus
  ⚡️ zeus: Lightning Fast MCMC ⚡️
  ☆232Updated last year
• 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
• probabilists / lampe
  Likelihood-free AMortized Posterior Estimation with PyTorch
  ☆126Updated 7 months ago
• pints-team / pints
  Probabilistic Inference on Noisy Time Series
  ☆234Updated last month
• matt-graham / mici
  Manifold Markov chain Monte Carlo methods in Python
  ☆226Updated 2 months ago
• ColCarroll / minimc
  Just a little MCMC
  ☆223Updated 8 months ago
• danielward27 / flowjax
  ☆151Updated 2 weeks ago
• secondmind-labs / trieste
  A Bayesian optimization toolbox built on TensorFlow
  ☆227Updated last week
• secondmind-labs / GPflux
  Deep GPs built on top of TensorFlow/Keras and GPflow
  ☆124Updated 5 months ago
• jax-ml / bayeux
  State of the art inference for your bayesian models.
  ☆204Updated 3 months ago
• patrick-kidger / optimistix
  Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/
  ☆384Updated last month
• undark-lab / swyft
  A system for scientific simulation-based inference at scale.
  ☆163Updated 11 months ago
• mackelab / delfi
  Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead
  ☆73Updated 4 years ago
• patrick-kidger / lineax
  Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax
  ☆424Updated this week
• patrick-kidger / diffrax
  Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
  ☆1,566Updated this week
• lindermanlab / ssm
  Bayesian learning and inference for state space models
  ☆597Updated 7 months ago
• ott-jax / ott
  Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.
  ☆571Updated last week
• jacobjinkelly / easy-neural-ode
  Code for the paper "Learning Differential Equations that are Easy to Solve"
  ☆278Updated 3 years ago
• patrick-kidger / sympy2jax
  Turn SymPy expressions into trainable JAX expressions.
  ☆330Updated last month