Alternatives and similar repositories for vbmfa:

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

• vchahun / yart
  Yet another regression toolkit
  ☆12Updated 11 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
• JonathanRaiman / rsm
  Topic analysis using RSM or PVDM.
  ☆11Updated 10 years ago
• Networks-Learning / mlss-2016
  MLSS 2016 material.
  ☆22Updated 8 years ago
• glennq / tga
  Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python
  ☆23Updated 9 years ago
• blei-lab / zero-inflated-embedding
  Code for the icml paper "zero inflated exponential family embedding"
  ☆29Updated 7 years ago
• SheffieldML / collab
  Collaborative filtering with the GP-LVM
  ☆25Updated 9 years ago
• FurongHuang / TensorDecomposition4TopicModeling
  ☆20Updated 7 years ago
• mrkulk / SequentialInference
  Dirichlet Process Mixture using PVI, SMC, Variational
  ☆15Updated 10 years ago
• franrruiz / p-emb
  Exponential family embeddings (Poisson or Bernoulli) for discrete data
  ☆32Updated 5 years ago
• BenjaminBossan / mink
  A neural network library based on tensorflow and with true sklearn compatibility.
  ☆11Updated 8 years ago
• djsutherland / skl-groups
  scikit-learn addon to operate on set/"group"-based features
  ☆41Updated 8 years ago
• rgiordan / CovariancesRobustnessVBPaper
  ☆11Updated last year
• BigBayes / SGRLD
  Stochastic Gradient Riemannian Langevin Dynamics
  ☆33Updated 9 years ago
• GRAAL-Research / PAC-Bayes_sample_compress_for_kernel_methods
  Learning algorithms introduced in "A PAC-Bayes Sample Compression Approach to Kernel Methods" (ICML 2011)
  ☆10Updated 10 years ago
• albietz / stochs
  stochs: fast stochastic solvers for machine learning in C++ and Cython
  ☆26Updated 2 years ago
• davmre / treegp
  Gaussian Process Regression for Python/Numpy
  ☆14Updated 8 years ago
• tansey / vsmrfs
  Vector-Space Markov Random Fields
  ☆21Updated 9 years ago
• vene / pyowl
  Ordered Weighted L1 regularization for classification and regression in Python
  ☆52Updated 6 years ago
• rgrosse / compositional_structure_search
  ☆46Updated 11 years ago
• rezazadeh / spark
  Mirror of Apache Spark
  ☆24Updated 9 years ago
• HIPS / maxwells-daemon
  Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.
  ☆32Updated 8 years ago
• PMBio / pygp
  A Gaussian process toolbox in python
  ☆42Updated 12 years ago
• bioinf-jku / librfn
  Rectified Factor Networks
  ☆38Updated 5 years ago
• andymiller / ReducedVarianceReparamGradients
  Reducing Reparameterization Gradient Variance code.
  ☆33Updated 7 years ago
• cjf00000 / ScaCTM
  Scalable inference for Correlated Topic Models
  ☆30Updated 9 years ago
• shashankg7 / Visual-Question-Answering
  Visual Question Answering system's different implementations
  ☆10Updated 8 years ago
• DataNeel / nx2_cross_validation
  Run Nx2 Cross Validation for multiple binary classifiers in parallel with optional downsampling
  ☆13Updated 10 years ago
• tonyduan / hte-prediction-rcts
  Predicting treatment effects from RCTs (Circulation: CQO 2019).
  ☆10Updated 2 years ago
• regreg / regreg
  A multi-algorithm Python framework for regularized regression
  ☆13Updated last year