Alternatives and similar repositories for ndd

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

• aseyboldt / covadapt
  Low rank adaptation of covariance matrices for nuts sampling in pymc3
  ☆15Updated 3 years ago
• HIPS / pgmult
  Dependent multinomials made easy: stick-breaking with the Pólya-gamma augmentation
  ☆61Updated 5 years ago
• pyro-ppl / funsor
  Functional tensors for probabilistic programming
  ☆245Updated 2 years ago
• montefiore-institute / hypothesis
  A Python toolkit for (simulation-based) inference and the mechanization of science.
  ☆53Updated 3 years ago
• pyro-ppl / brmp
  Bayesian Regression Models in Pyro
  ☆74Updated last year
• slinderman / pypolyagamma
  Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.
  ☆85Updated 5 years ago
• ColCarroll / minimc
  Just a little MCMC
  ☆235Updated last year
• eth-cscs / abcpy
  ABCpy package
  ☆117Updated 2 weeks ago
• ericsuh / dirichlet
  Dirichlet MLE python library
  ☆117Updated 6 months ago
• NeilGirdhar / efax
  Exponential families for JAX
  ☆76Updated last week
• mackelab / delfi
  Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead
  ☆73Updated 5 years ago
• justindomke / pangolin
  probabilistic programming focused on fun
  ☆49Updated 3 weeks ago
• BiuBiuBiLL / NPEET_LNC
  local non-uniformity correction for mutual information estimation
  ☆71Updated 4 years ago
• mattjj / pybasicbayes
  ☆156Updated 6 years ago
• pierreablin / autoptim
  Automatic differentiation + optimization
  ☆101Updated 6 years ago
• aesara-devs / aeppl
  Tools for an Aesara-based PPL.
  ☆67Updated last year
• arviz-devs / simuk
  Simulation based calibration and generation of synthetic data.
  ☆56Updated 2 months ago
• jax-ml / coix
  Inference Combinators in JAX
  ☆52Updated 8 months ago
• matt-graham / mici
  Manifold Markov chain Monte Carlo methods in Python
  ☆236Updated last month
• openopt / copt
  A Python library for mathematical optimization
  ☆141Updated last year
• wesselb / stheno
  Gaussian process modelling in Python
  ☆226Updated last year
• rlouf / mcx
  Express & compile probabilistic programs for performant inference on CPU & GPU. Powered by JAX.
  ☆329Updated last year
• wesselb / gpar
  Implementation of the Gaussian Process Autoregressive Regression Model
  ☆71Updated last year
• jeremiecoullon / SGMCMCJax
  Lightweight library of stochastic gradient MCMC algorithms written in JAX.
  ☆105Updated 2 years ago
• elfi-dev / elfi
  ELFI - Engine for Likelihood-Free Inference
  ☆281Updated 9 months ago
• jameshensman / VFF
  Variational Fourier Features
  ☆87Updated 4 years ago
• gradhep / neos
  Upstream optimisation for downstream inference
  ☆70Updated 3 weeks ago
• marcharper / stationary
  Stationary distributions for arbitrary finite state Markov processes, including specializations for the Moran, Wright-Fisher, and other …
  ☆22Updated 7 years ago
• trevorcampbell / bayesian-coresets
  Automated Scalable Bayesian Inference
  ☆131Updated 4 years ago
• pyro-ppl / pyro-models
  Repository of models in Pyro
  ☆30Updated last year