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.
  ☆58Updated 2 months ago
• conormdurkan / lfi
  Neural likelihood-free methods in PyTorch.
  ☆39Updated 5 years ago
• VincentStimper / resampled-base-flows
  Normalizing Flows with a resampled base distribution
  ☆47Updated 2 years ago
• dingo-gw / flow-matching-posterior-estimation
  ☆27Updated last year
• Information-Fusion-Lab-Umass / NuX
  Normalizing Flows using JAX
  ☆84Updated last year
• probabilists / lampe
  Likelihood-free AMortized Posterior Estimation with PyTorch
  ☆130Updated last year
• martin-marek / mini-hmc-jax
  A simple implementation of Hamiltonian Monte Carlo in JAX.
  ☆21Updated last year
• google-deepmind / annealed_flow_transport
  ☆52Updated 2 years ago
• jeremiecoullon / SGMCMCJax
  Lightweight library of stochastic gradient MCMC algorithms written in JAX.
  ☆104Updated last year
• modichirag / GSM-VI
  Code for Gaussian Score Matching Variational Inference
  ☆34Updated 6 months ago
• montefiore-institute / balanced-nre
  Code for the paper "Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation".
  ☆14Updated 2 years ago
• zhao-david / CDE-diagnostics
  Diagnostics for Conditional Density Estimators and Bayesian Inference Algorithms
  ☆15Updated 3 years ago
• johannbrehmer / manifold-flow
  Manifold-learning flows (ℳ-flows)
  ☆230Updated 4 years ago
• mackelab / simformer
  Combination of transformers and diffusion models for flexible all-in-one simulation-based inference
  ☆70Updated 2 months ago
• noegroup / stochastic_normalizing_flows
  Stochastic Normalizing Flows
  ☆77Updated 3 years ago
• LukasRinder / normalizing-flows
  Implementation of normalizing flows in TensorFlow 2 including a small tutorial.
  ☆147Updated last month
• tomcharnock / IMNN
  Using neural networks to extract sufficient statistics from data by maximising the Fisher information
  ☆32Updated 2 years ago
• undark-lab / swyft
  A system for scientific simulation-based inference at scale.
  ☆164Updated last year
• sbi-benchmark / sbibm
  Simulation-based inference benchmark
  ☆101Updated 7 months ago
• AlexandreAdam / score_models
  A repository to store state of the art score model architectures
  ☆56Updated last week
• johannbrehmer / pointers
  Things that make me feel productive
  ☆15Updated 2 years ago
• necludov / action-matching
  Implementation of Action Matching for the Schrödinger equation
  ☆23Updated 2 years ago
• justinalsing / pydelfi
  Density Estimation Likelihood-Free Inference with neural density estimators and adaptive acquisition of simulations
  ☆110Updated last year
• alisiahkoohi / Langevin-dynamics
  Sampling with gradient-based Markov Chain Monte Carlo approaches
  ☆108Updated last year
• smsharma / awesome-neural-sbi
  Community-sourced list of papers and resources on neural simulation-based inference.
  ☆124Updated 3 months ago
• cyz-ai / neural-approx-ss-lfi
  Codes for ICLR 21 paper: Neural Approximate Sufficient Statistics for Implicit Models
  ☆20Updated 3 years ago
• ludwigwinkler / pytorch_MCMC
  Lightweight MCMC sampling for PyTorch Models aka My Corona Project
  ☆49Updated 3 weeks ago
• bccp / DeepUQ
  Bayesian Uncertainty Quantification by Deep Generative Model
  ☆19Updated 5 years ago
• marylou-gabrie / flonaco
  ☆19Updated 3 years ago
• sbi-dev / pyknos
  Conditional density estimation with neural networks
  ☆33Updated 7 months ago