Alternatives and similar repositories for SINF:

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

• jfcrenshaw / pzflow
  Probabilistic modeling of tabular data with normalizing flows.
  ☆55Updated last month
• conormdurkan / lfi
  Neural likelihood-free methods in PyTorch.
  ☆39Updated 5 years ago
• dingo-gw / flow-matching-posterior-estimation
  ☆24Updated last year
• martin-marek / mini-hmc-jax
  A simple implementation of Hamiltonian Monte Carlo in JAX.
  ☆18Updated last year
• modichirag / GSM-VI
  Code for Gaussian Score Matching Variational Inference
  ☆32Updated last month
• probabilists / lampe
  Likelihood-free AMortized Posterior Estimation with PyTorch
  ☆126Updated 7 months ago
• montefiore-institute / balanced-nre
  Code for the paper "Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation".
  ☆14Updated 2 years ago
• Information-Fusion-Lab-Umass / NuX
  Normalizing Flows using JAX
  ☆83Updated last year
• EddieCunningham / generax
  Generative models with JAX.
  ☆17Updated 2 months ago
• chenlin9 / Gaussianization_Flows
  ☆22Updated 4 years ago
• J-zin / Awesome-Diffuison-Flow-Samplers
  Collecting research materials on neural samplers with diffusion/flow models
  ☆44Updated 2 weeks ago
• francois-rozet / diffusion-priors
  Learning Diffusion Priors from Observations by Expectation Maximization
  ☆23Updated last week
• tomcharnock / IMNN
  Using neural networks to extract sufficient statistics from data by maximising the Fisher information
  ☆31Updated last year
• justinalsing / pydelfi
  Density Estimation Likelihood-Free Inference with neural density estimators and adaptive acquisition of simulations
  ☆108Updated last year
• bccp / DeepUQ
  Bayesian Uncertainty Quantification by Deep Generative Model
  ☆20Updated 4 years ago
• dirmeier / sbijax
  Simulation-based inference in JAX
  ☆31Updated last month
• zhao-david / CDE-diagnostics
  Diagnostics for Conditional Density Estimators and Bayesian Inference Algorithms
  ☆14Updated 2 years ago
• google-deepmind / annealed_flow_transport
  ☆49Updated 2 years ago
• cyz-ai / neural-approx-ss-lfi
  Codes for ICLR 21 paper: Neural Approximate Sufficient Statistics for Implicit Models
  ☆19Updated 2 years ago
• VincentStimper / resampled-base-flows
  Normalizing Flows with a resampled base distribution
  ☆45Updated 2 years ago
• Pablo-Lemos / GGNS
  Gradient Based Nested Sampling
  ☆20Updated last year
• mackelab / simformer
  Combination of transformers and diffusion models for flexible all-in-one simulation-based inference
  ☆60Updated 9 months ago
• MaximeVandegar / Normalizing-Flows
  A repository to learn about Flows, mostly from papers
  ☆20Updated 4 years ago
• sbi-benchmark / sbibm
  Simulation-based inference benchmark
  ☆96Updated 2 months ago
• gregversteeg / esh_dynamics
  Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling
  ☆36Updated 3 years ago
• smsharma / jax-conditional-flows
  Normalizing flow models allowing for a conditioning context, implemented using Jax, Flax, and Distrax.
  ☆15Updated last year
• francois-rozet / inox
  Stainless neural networks in JAX
  ☆33Updated this week
• jeremiecoullon / SGMCMCJax
  Lightweight library of stochastic gradient MCMC algorithms written in JAX.
  ☆102Updated last year
• noegroup / stochastic_normalizing_flows
  Stochastic Normalizing Flows
  ☆76Updated 3 years ago
• EmoryMLIP / OT-Flow
  PyTorch implementation of the OT-Flow approach in arXiv:2006.00104
  ☆51Updated 8 months ago