Alternatives and similar repositories for vfm

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

• franrruiz / p-emb
  Exponential family embeddings (Poisson or Bernoulli) for discrete data
  ☆32Updated 5 years ago
• SheffieldML / collab
  Collaborative filtering with the GP-LVM
  ☆25Updated 10 years ago
• blei-lab / zero-inflated-embedding
  Code for the icml paper "zero inflated exponential family embedding"
  ☆29Updated 7 years ago
• RobRomijnders / bandit
  Implementation of Counterfactual risk minimization
  ☆26Updated 8 years ago
• premgopalan / bnprec
  Gopalan, P., Ruiz, F. J., Ranganath, R., & Blei, D. M. (2014). Bayesian Nonparametric Poisson Factorization for Recommendation Systems. I…
  ☆15Updated 10 years ago
• crowdAI / crowdai-criteo-ad-placement-challenge-starter-kit
  Starter kit for getting started in the NIPS 2017 Criteo Ad Placement Challenge
  ☆19Updated 7 years ago
• aschein / bptd
  Bayesian Poisson Tucker decomposition
  ☆17Updated 8 years ago
• maciejkula / binge
  Recommendation models that use binary rather than floating point operations at prediction time.
  ☆21Updated 7 years ago
• mblondel / spira
  Recommender systems in Python
  ☆50Updated 10 years ago
• andymiller / ReducedVarianceReparamGradients
  Reducing Reparameterization Gradient Variance code.
  ☆33Updated 8 years ago
• MingLin-home / gFM
  gFM: An Efficient Solver for generalized Factorization Machine
  ☆8Updated 8 years ago
• casmls / casmls.github.io
  Columbia Advanced Machine Learning Seminar
  ☆24Updated 6 years ago
• zhegan27 / dpfa_icml2015
  The Matlab Code for the ICML 2015 paper "Scalable Deep Poisson Factor Analysis for Topic Modeling"
  ☆19Updated 9 years ago
• DeepLearningDTU / Summerschool_2015
  Deep Learning DTU summer school 2015
  ☆22Updated 9 years ago
• mesuvash / pyrec
  ☆10Updated 8 years ago
• tansey / vsmrfs
  Vector-Space Markov Random Fields
  ☆21Updated 10 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
• cjf00000 / ScaCTM
  Scalable inference for Correlated Topic Models
  ☆30Updated 10 years ago
• ofirnachum / uncertainty_gbm
  Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data
  ☆26Updated 9 years ago
• mariru / exponential_family_embeddings
  Bernoulli Embeddings for Text
  ☆83Updated 7 years ago
• ipod825 / keraflow
  ☆29Updated 7 years ago
• Networks-Learning / mlss-2016
  MLSS 2016 material.
  ☆22Updated 9 years ago
• chengsoonong / digbeta
  Active learning for Big Data
  ☆25Updated 6 years ago
• lendle / SuPyLearner
  An implementation of the SuperLearner algorithm in Python based on scikit-learn.
  ☆25Updated 11 years ago
• vchahun / yart
  Yet another regression toolkit
  ☆12Updated 11 years ago
• vene / pyowl
  Ordered Weighted L1 regularization for classification and regression in Python
  ☆52Updated 6 years ago
• premgopalan / hgaprec
  Scalable Recommendation with Hierarchical Poisson Factorization P Gopalan, JM Hofman, DM Blei UAI, 326-335
  ☆55Updated 9 years ago
• JonathanRaiman / rsm
  Topic analysis using RSM or PVDM.
  ☆11Updated 10 years ago
• Bihaqo / exp-machines
  Exponential Machines implementation
  ☆41Updated 3 months ago
• davmre / treegp
  Gaussian Process Regression for Python/Numpy
  ☆14Updated 9 years ago