Alternatives and similar repositories for bpmf

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

• ramkikannan / planc
  Distributed NMF/NTF Library
  ☆51Updated last year
• jaak-s / BayesianDataFusion.jl
  Bayesian multi-tensor factorization methods, with side information
  ☆29Updated 5 years ago
• ExaScience / smurff
  Bayesian Factorization with Side Information in C++ with Python wrapper
  ☆69Updated last week
• smallk / smallk
  High-performance Non-negative Matrix Factorizations (NMF) - Python/C++
  ☆49Updated 7 years ago
• ColfaxResearch / CFXKMeans
  ☆34Updated 8 years ago
• criteo / Spark-RSVD
  Randomized SVD of large sparse matrices on Spark
  ☆77Updated 3 years ago
• aatapa / RLScore
  ☆68Updated last month
• ibayer / fastFM-core
  A short paper describing the library is available on arXiv.
  ☆65Updated 8 years ago
• premgopalan / hgaprec
  Scalable Recommendation with Hierarchical Poisson Factorization P Gopalan, JM Hofman, DM Blei UAI, 326-335
  ☆55Updated 10 years ago
• aschein / bptd
  Bayesian Poisson Tucker decomposition
  ☆17Updated 8 years ago
• xdata-skylark / libskylark
  Sketching-based Distributed Matrix Computations for Machine Learning
  ☆100Updated 7 years ago
• thu-ml / BigTopicModel
  Big Topic Model is a fast engine for running large-scale Topic Models.
  ☆23Updated 8 years ago
• tbjohns / BlitzL1
  Fast, principled L1-regularized loss minimization
  ☆24Updated last year
• charlesmartin14 / emf-rbm
  Extended Mean Field Restricted Boltzmann Machine
  ☆16Updated 8 years ago
• snap-stanford / snapvx
  ☆66Updated 5 years ago
• david-cortes / hpfrec
  Python implementation of 'Scalable Recommendation with Hierarchical Poisson Factorization'.
  ☆79Updated 8 months ago
• renaud / hdp-faster
  Hierarchical Dirichlet Process (with Split-Merge Operations), originally by Chong Wang
  ☆18Updated 12 years ago
• blei-lab / DynamicPoissonFactorization
  Dynamic version of Poisson Factorization (dPF). dPF captures the changing interest of users and the evolution of items over time accordin…
  ☆48Updated 9 years ago
• naesseth / nestedsmc
  Implementation of various algorithms in the Nested Sequential Monte Carlo family of methods.
  ☆14Updated 10 years ago
• djsutherland / skl-groups
  scikit-learn addon to operate on set/"group"-based features
  ☆41Updated 9 years ago
• nukui-s / tffactorization
  Implementations of matrix factorization or tensor factorization algorithms
  ☆32Updated 9 years ago
• bwlewis / irlbpy
  Truncated SVD by implicitly restarted Lanczos bidiagonalization for Python Numpy
  ☆58Updated 2 years ago
• rsheth80 / pmf-automl
  Data and code related to the paper "Probabilistic matrix factorization for automated machine learning", NIPS, 2018.
  ☆40Updated 4 years ago
• timnugent / bandit-algorithms
  Epsilon-greedy, softmax and LinUCB contextual bandit implementations [recommender systems]
  ☆50Updated 6 years ago
• sergeyvoronin / LowRankMatrixDecompositionCodes
  RSVDPACK: Implementations of fast algorithms for computing the low rank SVD, interpolative and CUR decompositions of a matrix, using ran…
  ☆94Updated 3 years ago
• arbenson / tensor-sc
  Tensor spectral clustering.
  ☆29Updated 8 years ago
• Jianbo-Lab / CCM
  ☆74Updated 7 years ago
• claesenm / EnsembleSVM
  A Library for Ensemble Learning Using Support Vector Machines
  ☆106Updated 11 years ago
• lendle / SuPyLearner
  An implementation of the SuperLearner algorithm in Python based on scikit-learn.
  ☆25Updated 11 years ago
• kuleshov / tensor-factorization
  Tensor Factorization via Matrix Factorization
  ☆34Updated 10 years ago