Alternatives and similar repositories for flow-matching-posterior-estimation

Users that are interested in flow-matching-posterior-estimation are comparing it to the libraries listed below

• martin-marek / mini-hmc-jax
  A simple implementation of Hamiltonian Monte Carlo in JAX.
  ☆20Updated last year
• Pablo-Lemos / GGNS
  Gradient Based Nested Sampling
  ☆20Updated last year
• dirmeier / sbijax
  Simulation-based inference in JAX
  ☆33Updated 3 months ago
• jfcrenshaw / pzflow
  Probabilistic modeling of tabular data with normalizing flows.
  ☆57Updated last month
• probabilists / lampe
  Likelihood-free AMortized Posterior Estimation with PyTorch
  ☆130Updated 11 months ago
• mackelab / simformer
  Combination of transformers and diffusion models for flexible all-in-one simulation-based inference
  ☆69Updated last month
• homerjed / sbiax
  Fast, lightweight and parallelised simulation-based inference in JAX.
  ☆18Updated last week
• modichirag / GSM-VI
  Code for Gaussian Score Matching Variational Inference
  ☆34Updated 5 months ago
• tomcharnock / IMNN
  Using neural networks to extract sufficient statistics from data by maximising the Fisher information
  ☆32Updated 2 years ago
• uofgravity / glasflow
  Normalising flows implemented using nflows
  ☆27Updated 9 months ago
• undark-lab / swyft
  A system for scientific simulation-based inference at scale.
  ☆164Updated last year
• justinalsing / pydelfi
  Density Estimation Likelihood-Free Inference with neural density estimators and adaptive acquisition of simulations
  ☆109Updated last year
• biweidai / SINF
  Sliced Iterative Generator (SIG) & Gaussianizing Iterative Slicing (GIS)
  ☆37Updated 2 years ago
• sbi-benchmark / sbibm
  Simulation-based inference benchmark
  ☆100Updated 6 months ago
• kazewong / jim
  Gravitational-wave data analysis tools in Jax
  ☆73Updated this week
• sbi-dev / pyknos
  Conditional density estimation with neural networks
  ☆32Updated 6 months ago
• hoyc1 / bilby_lisa
  ☆12Updated 4 months ago
• smsharma / awesome-neural-sbi
  Community-sourced list of papers and resources on neural simulation-based inference.
  ☆121Updated 2 months ago
• mj-will / nessai
  nessai: Nested Sampling with Artificial Intelligence
  ☆40Updated last month
• lollcat / fab-jax
  Flow Annealed Importance Sampling Bootstrap (FAB) with JAX.
  ☆11Updated last year
• astrockragh / Mangrove
  Using Graph Neural Networks to regress baryonic properties directly from full dark matter merger trees.
  ☆24Updated 2 weeks ago
• JakobRobnik / MicroCanonicalHMC
  MCHMC: sampler from an arbitrary differentiable distribution
  ☆73Updated 3 months ago
• NiallJeffrey / MomentNetworks
  Demonstration of MomentNetworks for high-dimensional probability density estimation (LFI)
  ☆15Updated 2 years ago
• smsharma / jax-conditional-flows
  Normalizing flow models allowing for a conditioning context, implemented using Jax, Flax, and Distrax.
  ☆20Updated last year
• JAXtronomy / spexial
  Special functions in Jax
  ☆16Updated 5 months ago
• albcab / fmx
  Conditional Flow Matching using JAX
  ☆13Updated 2 years ago
• kazewong / flowMC
  Normalizing-flow enhanced sampling package for probabilistic inference in Jax
  ☆249Updated last month
• tedwards2412 / ripple
  Differentiable Gravitational Waveforms with JAX
  ☆60Updated last week
• NIFTy-PPL / JAXbind
  Bind any function written in another language to JAX with support for JVP/VJP/batching/jit compilation
  ☆74Updated 3 months ago
• google-deepmind / annealed_flow_transport
  ☆52Updated 2 years ago