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"
  ☆26Updated 7 years ago
• bayesiains / density-deconvolution
  Code for the Density Deconvolution with Normalizing Flows paper.
  ☆12Updated 5 years ago
• li012589 / HMC_pytorch
  A pytorch version of hamiltonian monte carlo
  ☆15Updated 6 years ago
• rmcgibbo / pyhmc
  Hamiltonain Monte Carlo in Python
  ☆40Updated 6 years ago
• 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 6 years ago
• florent-leclercq / Bayes_InfoTheory
  Lectures on Bayesian statistics and information theory
  ☆31Updated 7 months ago
• exoml / plan-net
  An Ensemble of Bayesian Neural Networks for Exoplanetary Atmospheric Retrieval
  ☆12Updated 6 years ago
• ericjang / nf-jax
  Normalizing Flows in Jax
  ☆107Updated 5 years ago
• gregreen / deep-potential
  Deep learning for gravitational potentials, based on well-mixed tracers in phase space.
  ☆11Updated last week
• glouppe / recnn
  Repository for the code of "QCD-Aware Recursive Neural Networks for Jet Physics"
  ☆47Updated 6 years ago
• sanjibs / bmcmc
  MCMC package for Bayesian data analysis
  ☆59Updated 8 years ago
• thangbui / geepee
  A collection of Gaussian process models
  ☆30Updated 8 years ago
• tomcharnock / IMNN
  Using neural networks to extract sufficient statistics from data by maximising the Fisher information
  ☆32Updated 2 years ago
• dfm / celerite
  Scalable 1D Gaussian Processes in C++, Python, and Julia
  ☆191Updated this week
• McWilliamsCenter / CMUDeepLens
  Deep learning strong lens finder
  ☆25Updated 7 years ago
• karlnapf / kameleon-mcmc
  Code for Kernel Adaptive Metropolis-Hastings
  ☆33Updated 11 years ago
• pcubillos / mc3
  Python MCMC Sampler
  ☆33Updated 10 months ago
• gpapamak / epsilon_free_inference
  Code for paper "Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation"
  ☆32Updated 6 years ago
• eth-cscs / abcpy
  ABCpy package
  ☆116Updated last year
• sbi-dev / pyknos
  Conditional density estimation with neural networks
  ☆35Updated 11 months ago
• mfouesneau / NUTS
  python version of the No-U-Turn Sampler (NUTS) from Hoffman & Gelman, 2011
  ☆131Updated 5 years ago
• pmelchior / pygmmis
  Gaussian mixture model for incomplete (missing or truncated) and noisy data
  ☆103Updated 3 years ago
• adammoss / nnest
  Neural network nested and MCMC sampling
  ☆21Updated 4 years ago
• LeahPrice / SMC-NS
  Unbiased and Consistent Nested Sampling via Sequential Monte Carlo
  ☆15Updated 8 months ago
• montefiore-institute / hypothesis
  A Python toolkit for (simulation-based) inference and the mechanization of science.
  ☆53Updated 3 years ago
• andymiller / ReducedVarianceReparamGradients
  Reducing Reparameterization Gradient Variance code.
  ☆33Updated 8 years ago
• kbarbary / nestle
  Pure Python, MIT-licensed implementation of nested sampling algorithms for evaluating Bayesian evidence.
  ☆74Updated 3 months 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…
  ☆34Updated 6 years ago
• brain-research / l2hmc
  TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network
  ☆183Updated 7 years ago
• vallis / truebayes
  Deep neural networks for gravitational-wave posterior estimation
  ☆14Updated 6 years ago