Alternatives and similar repositories for dawgz

Users that are interested in dawgz are comparing it to the libraries listed below

• jfcrenshaw / pzflow
  Probabilistic modeling of tabular data with normalizing flows.
  ☆58Updated last week
• DifferentiableUniverseInitiative / JaxPM
  JAX-powered Cosmological Particle-Mesh N-body Solver
  ☆58Updated 2 weeks ago
• undark-lab / swyft
  A system for scientific simulation-based inference at scale.
  ☆164Updated last year
• francois-rozet / inox
  Stainless neural networks in JAX
  ☆34Updated 3 months ago
• kazewong / flowMC
  Normalizing-flow enhanced sampling package for probabilistic inference in Jax
  ☆254Updated last month
• astro-informatics / harmonic
  Machine learning assisted marginal likelihood (Bayesian evidence) estimation for Bayesian model selection
  ☆72Updated 2 weeks ago
• GalacticDynamics / unxt
  Unitful Quantities in JAX
  ☆47Updated 3 weeks ago
• probabilists / lampe
  Likelihood-free AMortized Posterior Estimation with PyTorch
  ☆131Updated last year
• Joshuaalbert / jaxns
  Probabilistic Programming and Nested sampling in JAX
  ☆213Updated 3 weeks ago
• homerjed / sbiax
  Fast, lightweight and parallelised simulation-based inference in JAX.
  ☆22Updated last month
• smsharma / jax-conditional-flows
  Normalizing flow models allowing for a conditioning context, implemented using Jax, Flax, and Distrax.
  ☆20Updated last year
• hsimonfroy / benchmark-field-level
  Benchmarking field-level cosmological inference from galaxy surveys.
  ☆12Updated 4 months ago
• Ciela-Institute / tarp
  Coverage tests to check the quality of your posterior estimators.
  ☆32Updated last year
• martin-marek / mini-hmc-jax
  A simple implementation of Hamiltonian Monte Carlo in JAX.
  ☆21Updated last year
• dirmeier / sbijax
  Simulation-based inference in JAX
  ☆41Updated 2 weeks ago
• JakobRobnik / MicroCanonicalHMC
  MCHMC: sampler from an arbitrary differentiable distribution
  ☆75Updated this week
• albcab / fmx
  Conditional Flow Matching using JAX
  ☆13Updated 2 years ago
• justinalsing / pydelfi
  Density Estimation Likelihood-Free Inference with neural density estimators and adaptive acquisition of simulations
  ☆110Updated 2 years ago
• mj-will / nessai
  nessai: Nested Sampling with Artificial Intelligence
  ☆43Updated last week
• smsharma / awesome-neural-sbi
  Community-sourced list of papers and resources on neural simulation-based inference.
  ☆138Updated last month
• LFITaskForce / FlatironMeeting
  Meeting repo for likelihood free inference meeting
  ☆14Updated 3 years 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.
  ☆61Updated 2 years ago
• tomcharnock / IMNN
  Using neural networks to extract sufficient statistics from data by maximising the Fisher information
  ☆32Updated 2 years ago
• Pablo-Lemos / GGNS
  Gradient Based Nested Sampling
  ☆20Updated last year
• kazewong / jim
  Gravitational-wave data analysis tools in Jax
  ☆77Updated 3 months ago
• adonath / gmmx
  Gaussian Mixture Models in Jax
  ☆23Updated 4 months ago
• GalacticDynamics / coordinax
  Coordinates in JAX
  ☆28Updated last week
• astrockragh / Mangrove
  Using Graph Neural Networks to regress baryonic properties directly from full dark matter merger trees.
  ☆24Updated 4 months ago
• GalacticDynamics / galax
  Galactic and Gravitational Dynamics in Python (+ GPU and autodiff)
  ☆40Updated 3 weeks ago
• dfm / tinygp
  The tiniest of Gaussian Process libraries
  ☆327Updated last week