Alternatives and similar repositories for autoconj

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

• j-towns / fastar
  ☆16Updated this week
• ethanluoyc / dhmc-jax
  Discontinuous Hamiltonian Monte Carlo in JAX
  ☆41Updated 5 years ago
• adjidieng / REM
  Reweighted Expectation Maximization
  ☆29Updated 5 years ago
• HIPS / maxwells-daemon
  Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.
  ☆32Updated 9 years ago
• duvenaud / jaxde
  Prototypes of differentiable differential equation solvers in JAX.
  ☆27Updated 5 years ago
• Sohl-Dickstein / Minimum-Probability-Flow-Learning
  Matlab code implementing Minimum Probability Flow Learning.
  ☆69Updated 10 years ago
• plai-group / covid
  Modelling epidemiological dynamics and performing inference in these models
  ☆27Updated 3 years ago
• andymiller / ReducedVarianceReparamGradients
  Reducing Reparameterization Gradient Variance code.
  ☆33Updated 7 years ago
• enalisnick / paper_summaries
  Summaries and minimal implementations of ML / statistics research articles.
  ☆39Updated 4 years ago
• Bonnevie / rebar
  A Python implementation of the gradient REBAR estimator.
  ☆46Updated 6 years ago
• srush / jax-lda
  ☆30Updated 3 years ago
• harvardnlp / strux
  ☆18Updated 3 years ago
• mblondel / projection-losses
  Python implementation of projection losses.
  ☆26Updated 5 years ago
• pyro-ppl / pyro-models
  Repository of models in Pyro
  ☆29Updated 10 months ago
• wittawatj / kernel-mod
  NeurIPS 2018. Linear-time model comparison tests.
  ☆18Updated 5 years ago
• djsutherland / igms
  Implicit generative models and related stuff based on the MMD, in PyTorch
  ☆16Updated 4 years ago
• srush / learns-dex
  ☆33Updated 4 years ago
• cmaddis / astar-sampling
  A generic Monte Carlo method based on the Gumbel-Max trick.
  ☆32Updated 9 years ago
• adamhaber / JaxEnt
  Jax-based MaxEnt
  ☆18Updated 5 years ago
• ivaleraM / DataTypes
  Automatic Discovery of the Statistical Types of Variables in a Dataset
  ☆23Updated 7 years ago
• wittawatj / kernel-gof
  NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.
  ☆67Updated 5 years ago
• CW-Huang / torchkit
  ☆37Updated 5 years ago
• tbrx / compiled-inference
  Train neural networks to use as SMC and importance sampling proposals
  ☆24Updated 7 years ago
• gehring / fax
  ☆80Updated 3 years ago
• akshaykgupta / SG_MCMC
  Implementation of Stochastic Gradient MCMC algorithms
  ☆41Updated 8 years ago
• philipphennig / probabilistic-numerics.org
  This repository houses the code for the community website http://www.probabilistic-numerics.org
  ☆35Updated 5 years ago
• approximateinference / approximateinference.github.io
  NeurIPS workshop on Advances in Approximate Bayesian Inference
  ☆48Updated last month
• jax-ml / coix
  Inference Combinators in JAX
  ☆49Updated 2 weeks ago
• matejbalog / gumbel-relatives
  Code to reproduce experiments appearing in the academic paper Lost Relatives of the Gumbel Trick
  ☆17Updated 7 years ago
• willieneis / ProBO
  ProBO: Versatile Bayesian Optimization Using Any Probabilistic Programming Language
  ☆15Updated 5 years ago