Alternatives and similar repositories for sumproduct:

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

• mbforbes / py-factorgraph
  Factor graphs and loopy belief propagation implemented in Python
  ☆190Updated 2 years ago
• rdlester / pyfac
  Python implementation of Sum-Product for Factor Graphs
  ☆44Updated 8 years ago
• krashkov / Belief-Propagation
  Overview and implementation of Belief Propagation and Loopy Belief Propagation algorithms: sum-product, max-product, max-sum
  ☆161Updated 5 years ago
• danbar / fglib
  factor graph library
  ☆69Updated 6 years ago
• atiasnir / propagation
  Belief propagation is a general graph algorithm for ranking nodes based on their location in the graph and some prior knowledge. The ne…
  ☆18Updated 10 years ago
• jkuck / BPNN
  ☆22Updated 3 years ago
• zzhang1987 / Factor-Graph-Neural-Network
  Factor Graph Neural Network
  ☆71Updated 3 years ago
• sjoerdvansteenkiste / Neural-EM
  Code for the "Neural Expectation Maximization" paper.
  ☆126Updated 2 years ago
• djstrouse / information-bottleneck
  a python implementation of various versions of the information bottleneck, including automated parameter searching
  ☆123Updated 4 years ago
• pemami4911 / sinkhorn-policy-gradient.pytorch
  Code accompanying the paper "Learning Permutations with Sinkhorn Policy Gradient"
  ☆39Updated 6 years ago
• UCLA-StarAI / LogisticCircuit
  Logistic Circuits
  ☆35Updated 5 years ago
• nanchenchen / belief-propagation
  An implementation of loopy belief propagation on a Bayesian Network (BN)
  ☆11Updated 10 years ago
• brendenlake / structural-sparsity
  Structure learning for sparse graphs with latent variables
  ☆45Updated 8 years ago
• mesilliac / pyLBP
  Loopy Belief Propagation for Python
  ☆40Updated 10 years ago
• UCLA-StarAI / Semantic-Loss
  Semantic Loss code
  ☆59Updated 5 years ago
• AMLab-Amsterdam / MNF_VBNN
  Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks
  ☆65Updated 4 years ago
• akxlr / tbp
  Tensor Belief Propagation - algorithm for approximate inference in discrete graphical models
  ☆12Updated 5 years ago
• hiroyuki-kasai / RSOpt
  Riemannian stochastic optimization algorithms: Version 1.0.3
  ☆64Updated 2 years ago
• ppletscher / BCFWstruct
  Block-Coordinate Frank-Wolfe Optimization for Structural SVMs
  ☆25Updated 11 years ago
• arranger1044 / awesome-spn
  A structured list of resources about Sum-Product Networks (SPNs)
  ☆253Updated 4 years ago
• teodor-moldovan / dpcluster
  Efficient Dirichlet process clustering
  ☆26Updated 11 years ago
• pronobis / libspn
  Library for learning and inference with Sum-product Networks
  ☆23Updated 5 years ago
• arahuja / hamiltonian-monte-carlo
  Implementation of Hamiltonian Monte Carlo using Google's TensorFlow
  ☆47Updated 9 years ago
• IssamLaradji / BlockCoordinateDescent
  Code for the paper "Let’s Make Block Coordinate Descent Go Fast"
  ☆47Updated last year
• TakuyaHiraoka / Multi-Agent-Reinforcement-Learning-in-Stochastic-Games
  Unofficial PyBrain extension for multi-agent reinforcement learning in general sum stochastic games.
  ☆69Updated 9 years ago
• otokonoko8 / deep-Bayesian-nonparametrics-papers
  The collection of papers about combining deep learning and Bayesian nonparametrics
  ☆120Updated 5 years ago
• kirthevasank / add-gp-bandits
  Additive Gaussian Process Bandits - version 1.0
  ☆27Updated 8 years ago
• hoonose / robust-filter
  [ICML 2017] Robust estimation of mean and covariance in high dimensions
  ☆34Updated 4 years ago
• clinicalml / structuredinference
  Structured Inference Networks for Nonlinear State Space Models
  ☆267Updated 7 years ago
• anhncs / Probabilistic-Graphical-Models
  Code for Implementation, Inference, and Learning of Bayesian and Markov Networks along with some practical examples.
  ☆104Updated 12 years ago