Alternatives and similar repositories for py-soft-impute

Users that are interested in py-soft-impute are comparing it to the libraries listed below

• dawenl / stochastic_PMF
  Poisson matrix factorization and autotagger
  ☆43Updated 9 years ago
• SheffieldML / GPclust
  Collapsed Variational Bayes
  ☆71Updated 5 years ago
• powerscorinne / GLRM
  ☆98Updated 7 years ago
• arjoly / random-output-trees
  Randomized output tree for multilabel / multi-output regression tasks
  ☆23Updated 9 years ago
• nils-werner / pymf
  Python Matrix Factorization Module
  ☆32Updated 9 years ago
• blei-lab / zero-inflated-embedding
  Code for the icml paper "zero inflated exponential family embedding"
  ☆29Updated 7 years ago
• dadaromeo / recsys-hpf
  Movies Recommendation with Hierarchical Poisson Factorization in Edward
  ☆18Updated 7 years ago
• jameshensman / GPclust
  Clustering time series using Gaussian processes and Variational Bayes.
  ☆39Updated 5 years ago
• rsheth80 / pmf-automl
  Data and code related to the paper "Probabilistic matrix factorization for automated machine learning", NIPS, 2018.
  ☆39Updated 3 years ago
• zygmuntz / dimensionality-reduction-for-sparse-binary-data
  convert a lot of zeros and ones to fewer real numbers
  ☆23Updated 10 years ago
• EpistasisLab / ReBATE
  Relief Based Algorithms of ReBATE implemented in Python with Cython optimization. This repository is no longer being updated. Please see…
  ☆33Updated 7 years ago
• PMBio / pygp
  A Gaussian process toolbox in python
  ☆42Updated 13 years ago
• Jianbo-Lab / CCM
  ☆74Updated 6 years ago
• SheffieldML / collab
  Collaborative filtering with the GP-LVM
  ☆25Updated 10 years ago
• yifeng-li / deep_learning
  Deep Learning Package in Python Based on The Deep Learning Tutorials and Theano
  ☆23Updated 10 years ago
• david-cortes / poismf
  (Python, R, C) Poisson matrix factorization (non-Bayesian version) (recommender systems)
  ☆46Updated 2 weeks ago
• tum-camp / survival-support-vector-machine
  Fast Training of Support Vector Machines for Survival Analysis
  ☆11Updated 8 years ago
• glennq / tga
  Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python
  ☆23Updated 9 years ago
• RobRomijnders / ssl_graph
  Semi supervised learning on graphs
  ☆35Updated 7 years ago
• premgopalan / hgaprec
  Scalable Recommendation with Hierarchical Poisson Factorization P Gopalan, JM Hofman, DM Blei UAI, 326-335
  ☆55Updated 9 years ago
• yhenon / pyrcc
  Python implementation of Robust Continuous Clustering
  ☆105Updated 5 years ago
• mrkulk / SequentialInference
  Dirichlet Process Mixture using PVI, SMC, Variational
  ☆15Updated 10 years ago
• TammoR / LogicalFactorisationMachines
  ☆21Updated 6 years ago
• NICTA / revrand
  A library of scalable Bayesian generalised linear models with fancy features
  ☆60Updated 7 years ago
• binarybana / samcnet
  Bayesian model averaging of an objective function over a model class using advanced MCMC techniques.
  ☆16Updated 10 years ago
• oxcsml / kerpy
  python code for kernel methods
  ☆38Updated 6 years ago
• jmetzen / sparse-filtering
  Unsupervised feature learning based on sparse-filtering
  ☆55Updated 10 years ago
• aatapa / RLScore
  ☆68Updated last year
• tansey / vsmrfs
  Vector-Space Markov Random Fields
  ☆21Updated 10 years ago
• djsutherland / skl-groups
  scikit-learn addon to operate on set/"group"-based features
  ☆41Updated 8 years ago