Alternatives and similar repositories for recsys-hpf

Users that are interested in recsys-hpf are comparing it to the libraries listed below

• rgiordan / CovariancesRobustnessVBPaper
  ☆12Updated 2 years ago
• blei-lab / zero-inflated-embedding
  Code for the icml paper "zero inflated exponential family embedding"
  ☆29Updated 7 years ago
• franrruiz / p-emb
  Exponential family embeddings (Poisson or Bernoulli) for discrete data
  ☆32Updated 6 years ago
• slinderman / pypolyagamma
  Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.
  ☆83Updated 5 years ago
• vveitch / causal-embeddings
  Code for "Using Embeddings to Correct for Unobserved Confounding"
  ☆10Updated 6 years ago
• BigBayes / SGRLD
  Stochastic Gradient Riemannian Langevin Dynamics
  ☆34Updated 10 years ago
• jameshensman / VFF
  Variational Fourier Features
  ☆85Updated 4 years ago
• rjagerman / wsdm2019-nonstationary
  Non-stationary Off-policy Evaluation
  ☆13Updated 6 years ago
• blei-lab / ctm-c
  This implements variational inference for the correlated topic model.
  ☆21Updated 11 years ago
• mrkulk / SequentialInference
  Dirichlet Process Mixture using PVI, SMC, Variational
  ☆15Updated 11 years ago
• andymiller / ReducedVarianceReparamGradients
  Reducing Reparameterization Gradient Variance code.
  ☆33Updated 8 years ago
• HIPS / pgmult
  Dependent multinomials made easy: stick-breaking with the Pólya-gamma augmentation
  ☆61Updated 4 years ago
• SheffieldML / GPclust
  Collapsed Variational Bayes
  ☆72Updated 6 years ago
• zhegan27 / dpfa_icml2015
  The Matlab Code for the ICML 2015 paper "Scalable Deep Poisson Factor Analysis for Topic Modeling"
  ☆19Updated 10 years ago
• aschein / bptd
  Bayesian Poisson Tucker decomposition
  ☆17Updated 8 years ago
• enalisnick / paper_summaries
  Summaries and minimal implementations of ML / statistics research articles.
  ☆39Updated 4 years ago
• Networks-Learning / mlss-2016
  MLSS 2016 material.
  ☆22Updated 9 years ago
• tbroderick / streaming_vb
  This is code associated with the paper: Broderick, T, Boyd, N, Wibisono, A, Wilson, AC, and Jordan, MI. Streaming variational Bayes. Neur…
  ☆41Updated 11 years ago
• BorisMuzellec / EllipticalEmbeddings
  Python code for implementing embeddings in the Wasserstein space of elliptical distributions
  ☆11Updated 5 years ago
• steveli / gp-adapter
  Scalable GP Adapter for Time Series Classification
  ☆13Updated 8 years ago
• adjidieng / REM
  Reweighted Expectation Maximization
  ☆29Updated 6 years ago
• ivaleraM / GLFM
  General Latent Feature Modeling for Heterogeneous data
  ☆50Updated last year
• wittawatj / kernel-mod
  NeurIPS 2018. Linear-time model comparison tests.
  ☆18Updated 5 years ago
• wittawatj / interpretable-test
  NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.
  ☆64Updated 7 years ago
• zehsilva / sparse-poisson-factorization
  Poisson Matrix and Tensor Factorization with sparse input and internal representations
  ☆16Updated 6 years ago
• wittawatj / kernel-gof
  NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.
  ☆67Updated 6 years ago
• premgopalan / hgaprec
  Scalable Recommendation with Hierarchical Poisson Factorization P Gopalan, JM Hofman, DM Blei UAI, 326-335
  ☆55Updated 10 years ago
• achab / nphc
  NPHC
  ☆17Updated 4 years ago
• davidandrzej / PyIBP
  NumPy implementation of infinite latent feature model (aka Indian Buffet Process or IBP)
  ☆51Updated 7 years ago
• grobgl / rnnsm
  ☆18Updated 7 years ago