Alternatives and similar repositories for py-factorgraph

Users that are interested in py-factorgraph are comparing it to the libraries listed below

• danbar / fglib
  factor graph library
  ☆69Updated 7 years ago
• ilyakava / sumproduct
  Sum product algorithm - Belief propagation (message passing) for factor graphs
  ☆89Updated 7 years ago
• rdlester / pyfac
  Python implementation of Sum-Product for Factor Graphs
  ☆44Updated 9 years ago
• krashkov / Belief-Propagation
  Overview and implementation of Belief Propagation and Loopy Belief Propagation algorithms: sum-product, max-product, max-sum
  ☆183Updated 6 years ago
• zzhang1987 / Factor-Graph-Neural-Network
  Factor Graph Neural Network
  ☆76Updated 4 years ago
• danielnyga / pracmln
  Markov Logic Networks in Python
  ☆139Updated 4 years ago
• ML-on-structures / graph-lstm
  LSTM implementation, and multi-layer LSTMs for learning on graph neighborhoods
  ☆79Updated 9 years ago
• UCLA-StarAI / Semantic-Loss
  Semantic Loss code
  ☆62Updated 6 years ago
• danieldjohnson / gated-graph-transformer-network
  Code to accompany the paper "Learning Graphical State Transitions"
  ☆171Updated 8 years ago
• tu-rbo / differentiable-particle-filters
  Source code and data for the paper "Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors"
  ☆189Updated 2 years ago
• Mehran-k / RelNN
  RelNN is a novel first-order deep neural model for relational learning.
  ☆28Updated 8 years ago
• jstraub / dpMM
  Dirichlet Process Mixture Model sampling-based inference algorithms
  ☆14Updated 8 years ago
• garydoranjr / pyemd
  Accurate, efficient Earth Mover's Distance for Python (and MATLAB).
  ☆162Updated 6 years ago
• sjoerdvansteenkiste / Neural-EM
  Code for the "Neural Expectation Maximization" paper.
  ☆126Updated 3 years ago
• manzilzaheer / DeepSets
  ☆310Updated 3 years ago
• IBM / IPC-graph-data
  IPC: A Graph Data Set Compiled from International Planning Competitions
  ☆47Updated 6 years ago
• gpeyre / 2016-ICML-gromov-wasserstein
  Gabriel Peyré, Marco Cuturi, Justin Solomon, Gromov-Wasserstein Averaging of Kernel and Distance Matrices, Proc. of ICML 2016.
  ☆75Updated 9 years ago
• abietti / dpmm
  Variational inference for Dirichlet process mixture models with multinomial mixture components.
  ☆35Updated 12 years ago
• djstrouse / information-bottleneck
  a python implementation of various versions of the information bottleneck, including automated parameter searching
  ☆132Updated 5 years ago
• mdeff / ntds_2016
  Material for the EPFL master course "A Network Tour of Data Science", edition 2016.
  ☆99Updated 5 years ago
• RuiShu / cvae
  Conditional variational autoencoder implementation in Torch
  ☆107Updated 9 years ago
• google / gumbel_sinkhorn
  ☆77Updated 8 years ago
• TeamCohen / TensorLog
  ☆111Updated 7 years ago
• nd7141 / AWE
  Compute graph embeddings via Anonymous Walk Embeddings
  ☆83Updated 7 years ago
• giannisnik / cnn-graph-classification
  A convolutional neural network for graph classification in PyTorch
  ☆91Updated 6 years ago
• google / wasserstein-dist
  tensorflow implementation of the Wasserstein (aka optimal transport) distance
  ☆74Updated 4 years ago
• vermaMachineLearning / FGSD
  Graph Feature Representation/Vector Based On The Family Of Graph Spectral Distances (NIPS 2017).
  ☆24Updated 5 years ago
• ermongroup / neuralsort
  Code for "Stochastic Optimization of Sorting Networks using Continuous Relaxations", ICLR 2019.
  ☆151Updated 2 years ago
• AdaCompNUS / pfnet
  Particle Filter Network (PF-net)
  ☆87Updated 7 years ago
• joanbruna / GNN_community
  Implementation of the paper "Community Detection with Graph Neural Networks", by J. Bruna and L. Li
  ☆74Updated 8 years ago