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
  ☆67Updated this week
• probabilists / lampe
  Likelihood-free AMortized Posterior Estimation with PyTorch
  ☆130Updated 10 months ago
• dirmeier / sbijax
  Simulation-based inference in JAX
  ☆32Updated 2 months ago
• kazewong / flowMC
  Normalizing-flow enhanced sampling package for probabilistic inference in Jax
  ☆242Updated 3 weeks ago
• JakobRobnik / MicroCanonicalHMC
  MCHMC: sampler from an arbitrary differentiable distribution
  ☆73Updated last month
• sbi-benchmark / sbibm
  Simulation-based inference benchmark
  ☆97Updated 5 months ago
• danielward27 / flowjax
  ☆167Updated last month
• undark-lab / swyft
  A system for scientific simulation-based inference at scale.
  ☆164Updated last year
• sbi-dev / pyknos
  Conditional density estimation with neural networks
  ☆31Updated 5 months ago
• Joshuaalbert / jaxns
  Probabilistic Programming and Nested sampling in JAX
  ☆184Updated 2 weeks ago
• kazewong / jim
  Gravitational-wave data analysis tools in Jax
  ☆71Updated 2 weeks ago
• EddieCunningham / generax
  Generative models with JAX.
  ☆17Updated 5 months ago
• jfcrenshaw / pzflow
  Probabilistic modeling of tabular data with normalizing flows.
  ☆57Updated last week
• justinalsing / pydelfi
  Density Estimation Likelihood-Free Inference with neural density estimators and adaptive acquisition of simulations
  ☆109Updated last year
• astro-informatics / harmonic
  Machine learning assisted marginal likelihood (Bayesian evidence) estimation for Bayesian model selection
  ☆68Updated 2 weeks ago
• homerjed / sbiax
  Fast, lightweight and parallelised simulation-based inference in JAX.
  ☆18Updated last week
• mj-will / nessai
  nessai: Nested Sampling with Artificial Intelligence
  ☆40Updated 3 weeks ago
• mlcolab / sbi-workshop
  SBI Workshop jointly by Helmholtz AI + ML ⇌ Science Colaboratory
  ☆23Updated 2 years ago
• dfm / numpyro-ext
  A miscellaneous set of helper functions, custom distributions, and other utilities that I find useful when using NumPyro in my work
  ☆24Updated 4 months ago
• huangdaolang / robust-sbi
  Learning Robust Statistics for Simulation-Based Inference Under Model Misspecification (Huang et al., Neurips 2023)
  ☆11Updated last year
• jeremiecoullon / SGMCMCJax
  Lightweight library of stochastic gradient MCMC algorithms written in JAX.
  ☆104Updated last year
• jax-ml / bayeux
  State of the art inference for your bayesian models.
  ☆219Updated last month
• jaxleyverse / jaxley
  Differentiable neuron simulations with biophysical detail on CPU, GPU, or TPU.
  ☆98Updated this week
• tomcharnock / IMNN
  Using neural networks to extract sufficient statistics from data by maximising the Fisher information
  ☆32Updated 2 years ago
• Ciela-Institute / tarp
  Coverage tests to check the quality of your posterior estimators.
  ☆31Updated 10 months ago
• f0uriest / quadax
  Numerical quadrature with JAX
  ☆65Updated last week
• DifferentiableUniverseInitiative / JaxPM
  JAX-powered Cosmological Particle-Mesh N-body Solver
  ☆45Updated 2 weeks ago
• 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.
  ☆56Updated last year
• bayesflow-org / awesome-amortized-inference
  This is a community-driven collection of resources around amortized inference.
  ☆43Updated 7 months ago
• DifferentiableUniverseInitiative / jax_cosmo
  A differentiable cosmology library in JAX
  ☆203Updated 6 months ago