Alternatives and similar repositories for vi_normal:

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

• karlnapf / kernel_hmc
  Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"
  ☆25Updated 6 years ago
• gpapamak / epsilon_free_inference
  Code for paper "Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation"
  ☆31Updated 5 years ago
• bayesiains / density-deconvolution
  Code for the Density Deconvolution with Normalizing Flows paper.
  ☆12Updated 4 years ago
• li012589 / HMC_pytorch
  A pytorch version of hamiltonian monte carlo
  ☆13Updated 5 years ago
• johannbrehmer / simulator-mining-example
  Code repository for the generalized Galton board example in the paper "Mining gold from implicit models to improve likelihood-free infere…
  ☆33Updated 5 years ago
• davidwhogg / mcmc
  Some notes about MCMC
  ☆44Updated 7 years ago
• glouppe / recnn
  Repository for the code of "QCD-Aware Recursive Neural Networks for Jet Physics"
  ☆46Updated 5 years ago
• pcubillos / mc3
  Python MCMC Sampler
  ☆33Updated this week
• smsharma / mining-for-substructure-lens
  Inference of substructure properties in strong lensing systems with machine learning. Code repository associated with https://arxiv.org/a…
  ☆32Updated 5 years ago
• adammoss / nnest
  Neural network nested and MCMC sampling
  ☆22Updated 3 years ago
• sanjibs / bmcmc
  MCMC package for Bayesian data analysis
  ☆58Updated 7 years ago
• vallis / truebayes
  Deep neural networks for gravitational-wave posterior estimation
  ☆14Updated 5 years ago
• exoml / plan-net
  An Ensemble of Bayesian Neural Networks for Exoplanetary Atmospheric Retrieval
  ☆11Updated 6 years ago
• dflemin3 / approxposterior
  A Python package for approximate Bayesian inference and optimization using Gaussian processes
  ☆42Updated last year
• tomcharnock / IMNN
  Using neural networks to extract sufficient statistics from data by maximising the Fisher information
  ☆31Updated last year
• WeiWang31 / EnsembleModel
  ☆9Updated 2 years ago
• LeahPrice / SMC-NS
  Unbiased and Consistent Nested Sampling via Sequential Monte Carlo
  ☆14Updated 7 months ago
• PredictiveScienceLab / py-mcmc
  A simple MCMC framework for training Gaussian processes adding functionality to GPy.
  ☆21Updated 10 years ago
• andymiller / ReducedVarianceReparamGradients
  Reducing Reparameterization Gradient Variance code.
  ☆33Updated 7 years ago
• diana-hep / carl
  Likelihood-free inference toolbox.
  ☆57Updated 7 years ago
• montefiore-institute / hypothesis
  A Python toolkit for (simulation-based) inference and the mechanization of science.
  ☆53Updated 2 years ago
• rmcgibbo / pyhmc
  Hamiltonain Monte Carlo in Python
  ☆39Updated 5 years ago
• McWilliamsCenter / CMUDeepLens
  Deep learning strong lens finder
  ☆24Updated 6 years ago
• florent-leclercq / Bayes_InfoTheory
  Lectures on Bayesian statistics and information theory
  ☆31Updated 3 years ago
• karlnapf / kameleon-mcmc
  Code for Kernel Adaptive Metropolis-Hastings
  ☆33Updated 10 years ago
• Sohl-Dickstein / LAHMC
  Look Ahead Hamiltonian Monte Carlo
  ☆30Updated 9 years ago
• kbarbary / nestle
  Pure Python, MIT-licensed implementation of nested sampling algorithms for evaluating Bayesian evidence.
  ☆74Updated last year
• elfi-dev / notebooks
  Notebook tutorials
  ☆14Updated last year
• sbi-dev / pyknos
  Conditional density estimation with neural networks
  ☆30Updated last month
• CW-Huang / torchkit
  ☆37Updated 5 years ago