Alternatives and similar repositories for Mixed-Membership-Stochastic-Blockmodel:

Users that are interested in Mixed-Membership-Stochastic-Blockmodel are comparing it to the libraries listed below

• premgopalan / svinet
  Efficient discovery of overlapping communities in massive networks PK Gopalan, DM Blei Proceedings of the National Academy of Sciences 11…
  ☆74Updated 4 years ago
• dongwookim-ml / MMSB
  mixed membership stochastic block model
  ☆13Updated 8 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
• aschein / bptf
  Bayesian Poisson tensor factorization
  ☆58Updated 4 months ago
• dadaromeo / recsys-hpf
  Movies Recommendation with Hierarchical Poisson Factorization in Edward
  ☆18Updated 7 years ago
• vermaMachineLearning / FGSD
  Graph Feature Representation/Vector Based On The Family Of Graph Spectral Distances (NIPS 2017).
  ☆24Updated 5 years ago
• nikhil-dce / SBM-meet-GNN
  Implementation of SBM-meet-GNN
  ☆23Updated 5 years ago
• enalisnick / stick-breaking_dgms
  Deep Generative Models with Stick-Breaking Priors
  ☆95Updated 8 years ago
• levelfour / SU_Classification
  Implementation for "Classification from Pairwise Similarity and Unlabeled Data"
  ☆27Updated 4 years ago
• RobRomijnders / ssl_graph
  Semi supervised learning on graphs
  ☆35Updated 7 years ago
• horacepan / MLGkernel
  Implementation of the Multiscale Laplacian Graph Kernel
  ☆18Updated 5 years ago
• mrkulk / SequentialInference
  Dirichlet Process Mixture using PVI, SMC, Variational
  ☆15Updated 10 years ago
• jamesmcinerney / vbmm
  Variational inference for Gaussian mixture models
  ☆35Updated 11 years ago
• namkoong-lab / robustopt
  ☆42Updated 6 years ago
• bobchennan / VAE_NBP
  Variational Auto-encoder with Non-parametric Bayesian Prior
  ☆43Updated 7 years ago
• prasoongoyal / bnp-vae
  ☆11Updated 7 years ago
• keyonvafa / logistic-reg-bbvi-blog
  Black Box Variational Inference for Bayesian logistic regression
  ☆18Updated 8 years ago
• wittawatj / interpretable-test
  NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.
  ☆63Updated 6 years ago
• mstaib / stochastic-barycenter-code
  Supporting code for "Parallel Streaming Wasserstein Barycenters"
  ☆10Updated 7 years ago
• ermongroup / graphite
  Code for Graphite iterative graph generation
  ☆59Updated 5 years ago
• ntumslab / PRUNE
  PRUNE: Preserving Proximity and Global Ranking for Network Embedding
  ☆44Updated 6 years ago
• ShelsonCao / DNGR
  Source Code of DNGR
  ☆42Updated 8 years ago
• mingzhang-yin / SIVI
  A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…
  ☆53Updated 5 months ago
• blei-lab / ars-reparameterization
  Source code for Naesseth et. al. "Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms" (2017)
  ☆39Updated 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
• BorisMuzellec / EllipticalEmbeddings
  Python code for implementing embeddings in the Wasserstein space of elliptical distributions
  ☆11Updated 4 years ago
• YingzhenLi / vae_renyi_divergence
  A tensorflow implementation of VAE training with Renyi divergence
  ☆31Updated 8 years ago
• yaringal / CLGP
  Categorical Latent Gaussian Process
  ☆16Updated 10 years ago
• linhongseba / Temporal-Network-Embedding
  The implementation that infers the temporal latent spaces for a sequence of dynamic graph snapshots
  ☆64Updated 7 years ago
• tijiang13 / Semi-supervised-VAE
  ☆25Updated 6 years ago