Alternatives and similar repositories for sda-bnp:

Users that are interested in sda-bnp are comparing it to the libraries listed below

• zhegan27 / dpfa_icml2015
  The Matlab Code for the ICML 2015 paper "Scalable Deep Poisson Factor Analysis for Topic Modeling"
  ☆19Updated 9 years ago
• albietz / dpmm
  Variational inference for Dirichlet process mixture models with multinomial mixture components.
  ☆33Updated 11 years ago
• BiuBiuBiLL / InfoFeatureSelection
  Variational Information Maximization for Feature Selection
  ☆11Updated 8 years ago
• prasoongoyal / bnp-vae
  ☆11Updated 6 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
• hichamjanati / mtw
  Wasserstein regularization for sparse multi-task regression
  ☆15Updated 4 years ago
• wooden-spoon / relational-ERM
  Software relating to relational empirical risk minimization
  ☆17Updated 3 years ago
• vsmolyakov / DP_means
  Dirichlet Process K-means
  ☆47Updated 7 months ago
• jacobeisenstein / DPMM
  Dirichlet process mixture model code in Matlab. Sampling and variational.
  ☆70Updated 12 years ago
• vsuriya93 / Deep-Learning-for-Graph-Representations
  This contains my M.Tech project work on using Deep Leanring for learning graph representations. Data will be provided on request
  ☆33Updated 7 years ago
• rgiordan / CovariancesRobustnessVBPaper
  ☆11Updated last year
• arnupretorius / lindaedynamics_icml2018
  Code to reproduce all the results in the paper: "Learning dynamics of linear denoising autoencoders." (ICML 2018)
  ☆12Updated 6 years ago
• brendenlake / structural-sparsity
  Structure learning for sparse graphs with latent variables
  ☆45Updated 8 years ago
• chrisdxie / in-depth-VI-tutorial
  ☆11Updated 8 years ago
• dadaromeo / recsys-hpf
  Movies Recommendation with Hierarchical Poisson Factorization in Edward
  ☆18Updated 7 years ago
• blei-lab / zero-inflated-embedding
  Code for the icml paper "zero inflated exponential family embedding"
  ☆29Updated 7 years ago
• matthieuheitz / WassersteinDictionaryLearning
  Morgan A. Schmitz., Matthieu Heitz, Nicolas Bonneel, Fred Ngole, David Coeurjolly, Marco Cuturi, Gabriel Peyré, and Jean-Luc Starck. "Was…
  ☆18Updated 5 years ago
• enalisnick / stick-breaking_dgms
  Deep Generative Models with Stick-Breaking Priors
  ☆95Updated 8 years ago
• mstaib / cloud-regime-clustering-code
  Code accompanying "Wasserstein k-means++ for Cloud Regime Histogram Clustering"
  ☆10Updated 7 years ago
• weilinear / PyRPCA
  Robust PCA in Python
  ☆37Updated 11 years ago
• franrruiz / vcd_divergence
  Code to minimize the Variational Contrastive Divergence (VCD)
  ☆28Updated 5 years ago
• danielegrattarola / cdt-ccm-aae
  Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds (2018, https://arxiv.org/abs/1805.06299)
  ☆11Updated 5 years ago
• arolet / wasserstein-dictionary-learning
  A matlab toolbox to perform Wasserstein Dictionary Learning or NMF
  ☆32Updated 8 years ago
• mrkulk / SequentialInference
  Dirichlet Process Mixture using PVI, SMC, Variational
  ☆15Updated 10 years ago
• quanmingyao / FasTer
  Efficient Nonconvex Regularized Tensor Completion with Structure-aware Proximal Iterations. ICML-2019.
  ☆16Updated 5 years ago
• wittawatj / kernel-gof
  NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.
  ☆67Updated 5 years ago
• horacepan / MLGkernel
  Implementation of the Multiscale Laplacian Graph Kernel
  ☆18Updated 5 years ago
• aschein / bptf
  Bayesian Poisson tensor factorization
  ☆57Updated 2 months ago
• blei-lab / ars-reparameterization
  Source code for Naesseth et. al. "Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms" (2017)
  ☆39Updated 7 years ago
• AMLab-Amsterdam / SEVDL_MGP
  Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…
  ☆31Updated 4 years ago