jacobeisenstein / DPMMLinks
Dirichlet process mixture model code in Matlab. Sampling and variational.
☆71Updated 13 years ago
Alternatives and similar repositories for DPMM
Users that are interested in DPMM are comparing it to the libraries listed below
Sorting:
- Deep Gaussian Processes in matlab☆93Updated 4 years ago
- A MATLAB implementation of Auto-Encoding Variational Bayes☆48Updated 9 years ago
- Tensor Train Rank-1 decomposition☆20Updated 6 years ago
- matlab code for convex optimization based tensor decomposition (completion/denoising)☆44Updated 11 years ago
- The Matlab Code for the ICML 2015 paper "Scalable Deep Poisson Factor Analysis for Topic Modeling"☆19Updated 10 years ago
- Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.☆44Updated 11 years ago
- Matlab code for implementing Nonnegativity Constrained Autoencoder (NCAE) for Deep Learning.☆13Updated 10 years ago
- Robust Principal Component Analysis via ADMM in Python☆108Updated 9 years ago
- Active learning toolbox for MATLAB☆46Updated 8 years ago
- Code for Implementation, Inference, and Learning of Bayesian and Markov Networks along with some practical examples.☆104Updated 12 years ago
- Matlab Code for Variational Gaussian Copula Inference☆16Updated 9 years ago
- Nonparametric Bayesian Inference for Sequential Data. Includes state-of-the-art MCMC inference for Beta process Hidden Markov Models (BP…☆78Updated 8 years ago
- Spectral Clustering for Complex Graphs☆39Updated 11 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆67Updated 8 years ago
- Variational inference for Dirichlet process mixture models with multinomial mixture components.☆35Updated 12 years ago
- Dirichlet Process Mixture using PVI, SMC, Variational☆15Updated 11 years ago
- A MATLAB project containing many popular / existing constrained clustering algorithms☆28Updated 7 years ago
- Non-parametric Bayesian in Python, including Indian buffet process (IBP), hierarchical Dirichlet process (HDP).☆73Updated 10 years ago
- KMeans for big data using preconditioning and sparsification, Matlab implementation. Aka k-means☆60Updated 5 years ago
- Variational Dirichlet Process Gaussian Mixture Models☆29Updated 11 years ago
- Matlab implementations of fast algorithms for nonnegative matrix and tensor factorizations☆58Updated 11 years ago
- Matlab implementations of Gaussian processes and other machine learning tools.☆144Updated 8 years ago
- Deep exponential families (DEFs)☆55Updated 7 years ago
- Theano-based implementation of Deep Semi-NMF.☆121Updated 10 years ago
- A matlab toolbox to perform Wasserstein Dictionary Learning or NMF☆32Updated 9 years ago
- Unsupervised feature learning based on sparse-filtering☆55Updated 11 years ago
- Bayesian Poisson tensor factorization☆63Updated last year
- MATLAB implementation of AdaGrad, Adam, Adamax, Adadelta etc.☆33Updated 5 years ago
- simple MATLAB code for randomized matrix computation☆23Updated 10 years ago
- Robust PCA in Python☆36Updated 12 years ago