Alternatives and similar repositories for bnp_tutorial:

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

• blei-lab / deep-exponential-families
  Deep exponential families (DEFs)
  ☆55Updated 7 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 10 years ago
• rgrosse / compositional_structure_search
  ☆46Updated 11 years ago
• aschein / pgds
  Poisson-Gamma dynamical systems
  ☆16Updated 8 years ago
• edwardlib / papers
  Edward content including papers, posters, and talks
  ☆91Updated 4 years ago
• HIPS / pgmult
  Dependent multinomials made easy: stick-breaking with the Pólya-gamma augmentation
  ☆61Updated 4 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
• mariru / structured_embeddings
  ☆53Updated 7 years ago
• blei-lab / ctm-c
  This implements variational inference for the correlated topic model.
  ☆21Updated 10 years ago
• casmls / casmls.github.io
  Columbia Advanced Machine Learning Seminar
  ☆24Updated 6 years ago
• blei-lab / zero-inflated-embedding
  Code for the icml paper "zero inflated exponential family embedding"
  ☆29Updated 7 years ago
• andymiller / ReducedVarianceReparamGradients
  Reducing Reparameterization Gradient Variance code.
  ☆33Updated 7 years ago
• aschein / bptf
  Bayesian Poisson tensor factorization
  ☆58Updated 5 months ago
• slinderman / pypolyagamma
  Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.
  ☆82Updated 4 years ago
• mrkulk / SequentialInference
  Dirichlet Process Mixture using PVI, SMC, Variational
  ☆15Updated 10 years ago
• blei-lab / publications
  The pdf and LaTeX for each paper (and sometimes the code and data used to generate the figures).
  ☆72Updated 7 years ago
• wittawatj / interpretable-test
  NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.
  ☆63Updated 6 years ago
• wittawatj / kernel-gof
  NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.
  ☆67Updated 5 years ago
• BigBayes / SGRLD
  Stochastic Gradient Riemannian Langevin Dynamics
  ☆33Updated 9 years ago
• mariru / exponential_family_embeddings
  Bernoulli Embeddings for Text
  ☆83Updated 7 years ago
• franrruiz / p-emb
  Exponential family embeddings (Poisson or Bernoulli) for discrete data
  ☆32Updated 5 years ago
• yaringal / CLGP
  Categorical Latent Gaussian Process
  ☆16Updated 10 years ago
• brendenlake / structural-sparsity
  Structure learning for sparse graphs with latent variables
  ☆45Updated 8 years ago
• jameshensman / VFF
  Variational Fourier Features
  ☆84Updated 3 years ago
• kzhai / PyNPB
  Non-parametric Bayesian in Python, including Indian buffet process (IBP), hierarchical Dirichlet process (HDP).
  ☆73Updated 9 years ago
• aschein / bptd
  Bayesian Poisson Tucker decomposition
  ☆17Updated 8 years ago
• kuleshov / tensor-factorization
  Tensor Factorization via Matrix Factorization
  ☆34Updated 9 years ago
• tansey / vsmrfs
  Vector-Space Markov Random Fields
  ☆21Updated 9 years ago
• duvenaud / deep-limits
  Repo for a paper about constructing priors on very deep models.
  ☆73Updated 8 years ago
• jluttine / variational-bayes-book
  Open access book on variational Bayesian methods written collaboratively
  ☆28Updated 10 years ago