Reproducible Research

  1. Code for "Parsimonious Bayesian deep networks" can be found HERE
  2. Python (TensorFlow) code for "ARM: Augment-REINFORCE-merge gradient for discrete latent variable models" can be found HERE
  3. Matlab code for "Inter and intra topic structure learning with word embeddings" can be found HERE
  4. Python (TensorFlow) code for "Semi-implicit variational inference" can be found HERE
  5. Matlab & C code for "Multimodal Poisson gamma belief network" can be found HERE
  6. Matlab code for "Deep latent Dirichlet allocation with topic-layer-adaptive stochastic gradient Riemannian MCMC" can be found HERE
  7. R code for "BNP-Seq: Bayesian nonparametric differential expression analysis of sequencing count data" can be found HERE
  8. Matlab & C code for "Negative Binomial Factor Analysis" can be found HERE
  9. Matlab code for "Fast simulation of hyperplane-truncated multivariate normal distributions" can be found HERE
  10. Python code for "Poisson–gamma dynamical systems" can be found HERE
  11. Matlab & C code for gamma belief networks can be found HERE
  12. Matlab & C code for "Frequency of frequencies distributions and size dependent exchangeable random partitions" can be found HERE
  13. Matlab code for random count matrices and naive Bayes classifiers using negative binomial processes can be found HERE
  14. Matlab code for Infinite Edge Partition Models (EPMs) can be found HERE
  15. Collapsed Gibbs sampling for the beta-negative binomial process can be found HERE
  16. Matlab code for a variety of negative binomial process topic models (including the gamma-NBP and beta-NBP, 08/2012 version) can be found HERE
  17. Gibbs sampling Matlab code for "Lognormal and Gamma Mixed Negative Binomial Regression" (02/16/2013 version) can be found HERE
  18. Variational Bayes Matlab code for the negative binomial distribution (10/13/2012 version, updated in Aug 2016) can be found HERE
  19. Gibbs sampling Matlab code for the negative binomial distribution (10/12/2012 version) can be found HERE
  20. BPFA Gray-scale, RGB and Hyperspectral image inpainting & denoising code (04/15/2010 version, last update 02/16/2012) can be found HERE
  21. BPFA Gray-scale and RGB image denoising code (last update 04/15/2010) can be found HERE
  22. Matlab codes and inference equations for "Non-Parametric Bayesian dictionary learning for sparse image representations" can be found HERE

© March 2018 Mingyuan Zhou