Alternatives and similar repositories for amortized-conditioning-engine

Users that are interested in amortized-conditioning-engine are comparing it to the libraries listed below

• ae-foster / dad
  Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design
  ☆32Updated 3 years ago
• desi-ivanova / idad
  Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods
  ☆19Updated 3 years ago
• lockwo / distreqx
  Distrax, but in equinox. Lightweight JAX library of probability distributions and bijectors.
  ☆31Updated last month
• jeremiecoullon / SGMCMCJax
  Lightweight library of stochastic gradient MCMC algorithms written in JAX.
  ☆103Updated last year
• j-wilson / GPflowSampling
  Code for efficiently sampling functions from GP(flow) posteriors
  ☆72Updated 4 years ago
• danielward27 / flowjax
  ☆161Updated 3 weeks ago
• aidanscannell / GPJax
  Minimal Gaussian process library in JAX with a simple (custom) approach to state management.
  ☆12Updated last year
• runame / laplace-redux
  Laplace Redux -- Effortless Bayesian Deep Learning
  ☆42Updated 2 years ago
• fbickfordsmith / epig
  Bayesian active learning with EPIG data acquisition
  ☆32Updated last month
• conormdurkan / lfi
  Neural likelihood-free methods in PyTorch.
  ☆39Updated 5 years ago
• modichirag / GSM-VI
  Code for Gaussian Score Matching Variational Inference
  ☆33Updated 3 months ago
• LaurenceA / bayesfunc
  ☆15Updated 2 years ago
• google-deepmind / annealed_flow_transport
  ☆52Updated 2 years ago
• Information-Fusion-Lab-Umass / NuX
  Normalizing Flows using JAX
  ☆83Updated last year
• ratschlab / repulsive_ensembles
  Repo for our paper "Repulsive deep ensembles are Bayesian"
  ☆19Updated 3 years ago
• DenisBless / variational_sampling_methods
  [ICML 2024] Official implementation for "Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling".
  ☆34Updated 5 months ago
• alisiahkoohi / Langevin-dynamics
  Sampling with gradient-based Markov Chain Monte Carlo approaches
  ☆101Updated last year
• team-approx-bayes / ivon
  IVON optimizer for neural networks based on variational learning.
  ☆66Updated 6 months ago
• PrincetonLIPS / AHGP
  [NeurIPS 2020] Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters (AHGP)
  ☆21Updated 4 years ago
• tranbahien / you-need-a-good-prior
  All You Need is a Good Functional Prior for Bayesian Deep Learning (JMLR 2022)
  ☆21Updated 3 years ago
• EddieCunningham / generax
  Generative models with JAX.
  ☆17Updated 5 months ago
• aleximmer / BNN-predictions
  Improving predictions of Bayesian neural nets via local linearization, AISTATS 2021
  ☆17Updated 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
• francois-rozet / inox
  Stainless neural networks in JAX
  ☆34Updated 2 months ago
• jamesvuc / jax-bayes
  Bayesian inference with Python and Jax.
  ☆32Updated 2 years ago
• probabilistic-numerics / probnum-spring-school
  Tutorial materials of the Probabilistic Numerics Spring School.
  ☆34Updated 2 years ago
• J-zin / Awesome-Diffusion-Flow-Samplers
  Collecting research materials on neural samplers with diffusion/flow models
  ☆48Updated last week
• runame / laplace-refinement
  Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks
  ☆10Updated 2 years ago
• sbi-benchmark / sbibm
  Simulation-based inference benchmark
  ☆97Updated 4 months ago
• aterenin / SparseGPAX
  An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.
  ☆22Updated 4 years ago