Alternatives and similar repositories for BooleanFactorization

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

• trigeorgis / Deep-Semi-NMF
  Theano-based implementation of Deep Semi-NMF.
  ☆121Updated 10 years ago
• fabianp / group_lasso
  ☆39Updated 13 years ago
• cthurau / pymf
  Python Matrix Factorization Module
  ☆138Updated 7 years ago
• yifeng-li / deep_learning
  Deep Learning Package in Python Based on The Deep Learning Tutorials and Theano
  ☆23Updated 11 years ago
• premgopalan / svinet
  Efficient discovery of overlapping communities in massive networks PK Gopalan, DM Blei Proceedings of the National Academy of Sciences 11…
  ☆73Updated 5 years ago
• JihongJu / deep-pu-learning
  Deep Learning with Positive and Unlabeled samples
  ☆54Updated 8 years ago
• RigautAntoine / deep-computational-phenotyping-papers
  An attempted survey of the current state of Computational Phenotyping, i.e. the use of deep learning for extracting insight from large El…
  ☆22Updated 9 years ago
• mims-harvard / nimfa
  Nimfa: Nonnegative matrix factorization in Python
  ☆556Updated 4 years ago
• mims-harvard / ohmnet
  OhmNet: Representation learning in multi-layer graphs
  ☆84Updated 5 years ago
• RobRomijnders / ssl_graph
  Semi supervised learning on graphs
  ☆35Updated 8 years ago
• aschein / bptf
  Bayesian Poisson tensor factorization
  ☆63Updated last year
• davidhallac / TVGL
  ☆57Updated 8 years ago
• sramirez / fast-mRMR
  An improved implementation of the classical feature selection method: minimum Redundancy and Maximum Relevance (mRMR).
  ☆83Updated 3 years ago
• yhenon / pyrcc
  Python implementation of Robust Continuous Clustering
  ☆106Updated 6 years ago
• kimjingu / nonnegfac-python
  Python toolbox for nonnegative matrix factorization
  ☆117Updated 7 years ago
• trueprice / python-graph-clustering
  A collection of Python scripts that implement various graph clustering algorithms, specifically for identifying protein complexes from pr…
  ☆96Updated 7 years ago
• jiayuzhou / MALSAR
  Multi-task learning via Structural Regularization
  ☆136Updated 4 years ago
• iesl / grinch
  Scalable Hierarchical Clustering with Tree Grafting
  ☆28Updated 3 years ago
• edwardlib / observations
  Tools for loading standard data sets in machine learning
  ☆206Updated 3 years ago
• LucaAmbrogioni / GP-CaKe-project
  Bayesian Effective Connectivity
  ☆54Updated 7 years ago
• mdeff / ntds_2016
  Material for the EPFL master course "A Network Tour of Data Science", edition 2016.
  ☆99Updated 5 years ago
• mims-harvard / scikit-fusion
  scikit-fusion: Data fusion via collective latent factor models
  ☆151Updated 2 years ago
• nate-russell / Network-Embedding-Resources
  Network Embedding Survey and Resources
  ☆41Updated 8 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 12 years ago
• aburnap / Mixed-Membership-Stochastic-Blockmodel
  Mixed Membership Stochastic Blockmodel Implementation with 3 Inference Schemes
  ☆24Updated 10 years ago
• garydoranjr / misvm
  Multiple-Instance Support Vector Machines
  ☆247Updated 6 years ago
• markvdw / GPflow-inter-domain
  Gaussian processes in TensorFlow with modifications to allow inter-domain inducing variables
  ☆13Updated 8 years ago
• Jianbo-Lab / CCM
  ☆74Updated 7 years ago
• benedekrozemberczki / DANMF
  A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).
  ☆207Updated 2 years ago
• wmkouw / libTLDA
  Library of transfer learners and domain-adaptive classifiers.
  ☆93Updated 7 years ago