Alternatives and similar repositories for tf-propagation

Users that are interested in tf-propagation are comparing it to the libraries listed below

• TeamCohen / TensorLog
  ☆109Updated 6 years ago
• nzhiltsov / Ext-RESCAL
  Scalable tensor factorization
  ☆54Updated 10 years ago
• mnick / rescal.py
  Python module to compute the RESCAL tensor factorization
  ☆91Updated 11 years ago
• uclnlp / low-rank-logic
  Code for Injecting Logical Background Knowledge into Embeddings for Relation Extraction
  ☆66Updated 9 years ago
• uclnlp / ntp
  End-to-End Differentiable Proving
  ☆90Updated 6 years ago
• diegma / relation-autoencoder
  this is the code used in the paper "Discrete-State Variational Autoencoders for Joint Discovery and Factorization of Relations"
  ☆65Updated 8 years ago
• opcode81 / ProbCog
  A toolbox for statistical relational learning and reasoning.
  ☆102Updated 3 years ago
• danielnyga / pracmln
  Markov Logic Networks in Python
  ☆138Updated 4 years ago
• TeamCohen / ProPPR
  Graph-algorithm inferences over local groundings of first-order logic programs
  ☆136Updated 7 years ago
• mnick / holographic-embeddings
  Code for experiments in the AAAI 2016 paper "Holographic Embeddings of Knowledge Graphs"
  ☆176Updated 7 years ago
• mariru / exponential_family_embeddings
  Bernoulli Embeddings for Text
  ☆83Updated 7 years ago
• EderSantana / gumbel
  Gumbel-Softmax Variational Autoencoder with Keras
  ☆133Updated 7 years ago
• larsmaaloee / auxiliary-deep-generative-models
  Deep generative models for semi-supervised learning.
  ☆109Updated 8 years ago
• seomoz / word2gauss
  Gaussian word embeddings
  ☆189Updated 7 years ago
• blei-lab / deep-exponential-families
  Deep exponential families (DEFs)
  ☆55Updated 7 years ago
• allenai / tuffylite
  TuffyLite is an open-source MLN inference engine that modifies the original Tuffy solver.
  ☆27Updated 9 years ago
• uclnlp / adversarial-nli
  Code and data for the CoNLL 2018 paper "Adversarially Regularising Neural NLI Models to Integrate Logical Background Knowledge."
  ☆25Updated 6 years ago
• cmaddis / astar-sampling
  A generic Monte Carlo method based on the Gumbel-Max trick.
  ☆32Updated 9 years ago
• iesl / xcluster
  Algorithms and evaluation tools for extreme clustering
  ☆73Updated 6 years ago
• DeNeutoy / bayesian-rnn
  ☆62Updated 8 years ago
• policecar / deepDB
  Neural tensor network for KB completion ( http://papers.nips.cc/paper/by-source-2013-504 )
  ☆20Updated 11 years ago
• dallascard / neural_topic_models
  Code to accompany "A Neural Framework for Generalized Topic Models"
  ☆67Updated 6 years ago
• lmjohns3 / downhill
  Stochastic gradient routines for Theano
  ☆103Updated 7 years ago
• vene / sparsemap
  SparseMAP: differentiable sparse structure inference
  ☆112Updated 6 years ago
• Mehran-k / RelNN
  RelNN is a novel first-order deep neural model for relational learning.
  ☆28Updated 7 years ago
• pdasigi / neural-semantic-encoders
  Reimplementation of Munkhdalai et al's Neural Semantic Encoders (https://arxiv.org/pdf/1607.04315v2.pdf)
  ☆59Updated 8 years ago
• uclnlp / acl2015tutorial
  Moro files for the ACL 2015 Tutorial on Matrix and Tensor Factorization Methods for Natural Language Processing
  ☆20Updated 10 years ago
• pmineiro / randembed
  Randomized embeddings for extreme learning
  ☆24Updated 9 years ago
• wittawatj / interpretable-test
  NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.
  ☆64Updated 7 years ago
• jfinkels / birkhoff
  Birkhoff decomposition for doubly stochastic matrices.
  ☆15Updated 2 years ago