Alternatives and similar repositories for BooleanFactorization:

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

• fabianp / group_lasso
  ☆39Updated 12 years ago
• yhenon / pyrcc
  Python implementation of Robust Continuous Clustering
  ☆103Updated 5 years ago
• aburnap / Mixed-Membership-Stochastic-Blockmodel
  Mixed Membership Stochastic Blockmodel Implementation with 3 Inference Schemes
  ☆24Updated 9 years ago
• RobRomijnders / ssl_graph
  Semi supervised learning on graphs
  ☆35Updated 7 years ago
• Jianbo-Lab / CCM
  ☆74Updated 6 years ago
• TammoR / LogicalFactorisationMachines
  ☆21Updated 5 years ago
• premgopalan / svinet
  Efficient discovery of overlapping communities in massive networks PK Gopalan, DM Blei Proceedings of the National Academy of Sciences 11…
  ☆74Updated 4 years ago
• trigeorgis / Deep-Semi-NMF
  Theano-based implementation of Deep Semi-NMF.
  ☆112Updated 9 years ago
• tjanez / PyMTL
  PyMTL (Python library for Multi-task learning) is a Python module implementing a Multi-task learning framework built on top of scikit-lea…
  ☆44Updated 11 years ago
• blei-lab / zero-inflated-embedding
  Code for the icml paper "zero inflated exponential family embedding"
  ☆29Updated 7 years ago
• vermaMachineLearning / FGSD
  Graph Feature Representation/Vector Based On The Family Of Graph Spectral Distances (NIPS 2017).
  ☆24Updated 4 years ago
• aatapa / RLScore
  ☆67Updated 11 months ago
• dongwookim-ml / MMSB
  mixed membership stochastic block model
  ☆13Updated 8 years ago
• TuftsBCB / Walker
  Python implementation of Kohler et al.'s random walk with restart
  ☆29Updated 6 years ago
• satwik77 / libnmf
  Optimization and Regularization variants of Non-negative Matrix Factorization (NMF)
  ☆33Updated 6 years ago
• abyoussef / DRBM_Project
  Learning joint representation with a Multimodal Deep Boltzmann Machine
  ☆39Updated 8 years ago
• markvdw / GPflow-inter-domain
  Gaussian processes in TensorFlow with modifications to allow inter-domain inducing variables
  ☆13Updated 7 years ago
• MdAsifKhan / DNGR-Keras
  Learning graph representations using autoencoder
  ☆51Updated 8 years ago
• razorx89 / nmfgpu
  C++ library for CUDA accelerated computation of Non-negative Matrix Factorizations (NMF)
  ☆11Updated 7 years ago
• olddaos / KerasDeepWalk
  Building word embedding for large graphs by a set of random walks. Model learning is backed by Keras, which now supports TensorFlow or Th…
  ☆17Updated 8 years ago
• jjfeng / spinn
  Sparse-input neural networks
  ☆22Updated last year
• mrkulk / SequentialInference
  Dirichlet Process Mixture using PVI, SMC, Variational
  ☆15Updated 10 years ago
• mstrazar / iONMF
  Integrative orthogonal non-negative matrix factorization
  ☆31Updated 5 years ago
• aschein / bptf
  Bayesian Poisson tensor factorization
  ☆57Updated 2 months ago
• yifeng-li / deep_learning
  Deep Learning Package in Python Based on The Deep Learning Tutorials and Theano
  ☆23Updated 10 years ago
• CatalinVoss / anchor-baggage
  Experimentation code for the article "Building Topic Models Based on Anchor Words" based on the paper "Learning Topic Models: Going beyon…
  ☆15Updated 10 years ago
• mdeff / ntds_2016
  Material for the EPFL master course "A Network Tour of Data Science", edition 2016.
  ☆97Updated 4 years ago
• horacepan / MLGkernel
  Implementation of the Multiscale Laplacian Graph Kernel
  ☆18Updated 5 years ago
• xiaohan2012 / sdne-keras
  Keras implementation of Structural Deep Network Embedding, KDD 2016
  ☆91Updated 6 years ago
• dtak / hs-bnn-public
  ☆12Updated 7 years ago