Alternatives and similar repositories for awesome-neural-sbi

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

• mackelab / simformer
  Combination of transformers and diffusion models for flexible all-in-one simulation-based inference
  ☆79Updated 6 months ago
• kazewong / flowMC
  Normalizing-flow enhanced sampling package for probabilistic inference in Jax
  ☆255Updated last month
• dirmeier / sbijax
  Simulation-based inference in JAX
  ☆42Updated last month
• probabilists / lampe
  Likelihood-free AMortized Posterior Estimation with PyTorch
  ☆131Updated last year
• JakobRobnik / MicroCanonicalHMC
  MCHMC: sampler from an arbitrary differentiable distribution
  ☆75Updated 2 weeks ago
• sbi-benchmark / sbibm
  Simulation-based inference benchmark
  ☆107Updated 11 months ago
• undark-lab / swyft
  A system for scientific simulation-based inference at scale.
  ☆163Updated last year
• danielward27 / flowjax
  ☆205Updated last month
• sbi-dev / pyknos
  Conditional density estimation with neural networks
  ☆35Updated 11 months ago
• jfcrenshaw / pzflow
  Probabilistic modeling of tabular data with normalizing flows.
  ☆58Updated last week
• Joshuaalbert / jaxns
  Probabilistic Programming and Nested sampling in JAX
  ☆216Updated last week
• homerjed / sbiax
  Fast, lightweight and parallelised simulation-based inference in JAX.
  ☆22Updated last month
• justinalsing / pydelfi
  Density Estimation Likelihood-Free Inference with neural density estimators and adaptive acquisition of simulations
  ☆110Updated 2 years ago
• kazewong / jim
  Gravitational-wave data analysis tools in Jax
  ☆79Updated 4 months ago
• dfm / tinygp
  The tiniest of Gaussian Process libraries
  ☆327Updated 3 weeks ago
• EddieCunningham / generax
  Generative models with JAX.
  ☆20Updated 11 months ago
• astro-informatics / harmonic
  Machine learning assisted marginal likelihood (Bayesian evidence) estimation for Bayesian model selection
  ☆73Updated last week
• smsharma / sbi-lecture-mit
  Notebook to go along with a lecture for the MIT course 8.16: Data Science in Physics on neural simulation-based inference.
  ☆61Updated 2 years ago
• Pablo-Lemos / GGNS
  Gradient Based Nested Sampling
  ☆20Updated last year
• DifferentiableUniverseInitiative / jax_cosmo
  A differentiable cosmology library in JAX
  ☆219Updated 5 months ago
• dingo-gw / flow-matching-posterior-estimation
  ☆30Updated 2 years ago
• martin-marek / mini-hmc-jax
  A simple implementation of Hamiltonian Monte Carlo in JAX.
  ☆21Updated last year
• NIFTy-PPL / JAXbind
  Bind any function written in another language to JAX with support for JVP/VJP/batching/jit compilation
  ☆75Updated 2 months ago
• DifferentiableUniverseInitiative / JaxPM
  JAX-powered Cosmological Particle-Mesh N-body Solver
  ☆59Updated last week
• Ciela-Institute / tarp
  Coverage tests to check the quality of your posterior estimators.
  ☆32Updated last year
• jeremiecoullon / SGMCMCJax
  Lightweight library of stochastic gradient MCMC algorithms written in JAX.
  ☆105Updated 2 years ago
• francois-rozet / dawgz
  Unleash the true power of scheduling
  ☆33Updated 8 months ago
• mj-will / nessai
  nessai: Nested Sampling with Artificial Intelligence
  ☆43Updated last week
• smsharma / jax-conditional-flows
  Normalizing flow models allowing for a conditioning context, implemented using Jax, Flax, and Distrax.
  ☆20Updated last year
• AlexandreAdam / score_models
  A repository to store state of the art score model architectures
  ☆59Updated 2 weeks ago