jacobeisenstein / DPMM
Dirichlet process mixture model code in Matlab. Sampling and variational.
☆70Updated 12 years ago
Alternatives and similar repositories for DPMM:
Users that are interested in DPMM are comparing it to the libraries listed below
- Variational Dirichlet Process Gaussian Mixture Models☆27Updated 9 years ago
- Variational inference for Dirichlet process mixture models with multinomial mixture components.☆33Updated 11 years ago
- A MATLAB implementation of Auto-Encoding Variational Bayes☆45Updated 8 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆65Updated 7 years ago
- Infinite Gaussian Mixture Model / Variational EM☆12Updated 11 years ago
- Deep Gaussian Processes in matlab☆91Updated 3 years ago
- Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.☆43Updated 10 years ago
- Matlab Code for Variational Gaussian Copula Inference☆16Updated 8 years ago
- Bayesian Poisson tensor factorization☆57Updated 2 months ago
- Nonparametric Bayesian Inference for Sequential Data. Includes state-of-the-art MCMC inference for Beta process Hidden Markov Models (BP…☆79Updated 7 years ago
- The source code is related to our work- Shreyas Seshadri, Ulpu Remes and Okko Rasanen: "Dirichlet process mixture models for clustering i…☆10Updated 7 years ago
- Non-parametric Bayesian in Python, including Indian buffet process (IBP), hierarchical Dirichlet process (HDP).☆73Updated 9 years ago
- Active learning toolbox for MATLAB☆46Updated 7 years ago
- Code for the paper 'Efficient Variational Inference for Gaussian Process Regression Networks'☆22Updated 11 years ago
- Tensor Train Rank-1 decomposition☆19Updated 5 years ago
- Variational Inference in Gaussian Mixture Model☆58Updated 4 years ago
- Code for Implementation, Inference, and Learning of Bayesian and Markov Networks along with some practical examples.☆105Updated 11 years ago
- Dirichlet process mixture model.☆26Updated 10 years ago
- Subspace Clustering Library☆51Updated 8 years ago
- Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.☆31Updated 7 years ago
- The Matlab Code for the ICML 2015 paper "Scalable Deep Poisson Factor Analysis for Topic Modeling"☆19Updated 9 years ago
- A matlab toolbox to perform Wasserstein Dictionary Learning or NMF☆32Updated 8 years ago
- matlab code for convex optimization based tensor decomposition (completion/denoising)☆43Updated 10 years ago
- Matlab implementations of Gaussian processes and other machine learning tools.☆137Updated 7 years ago
- Matlab code for implementing Nonnegativity Constrained Autoencoder (NCAE) for Deep Learning.☆13Updated 9 years ago
- KMeans for big data using preconditioning and sparsification, Matlab implementation. Aka k-means☆58Updated 4 years ago
- Bayesian optimization with the Gaussian process assumption☆30Updated 8 years ago
- A MATLAB project containing many popular / existing constrained clustering algorithms☆27Updated 6 years ago
- modular implementation of new algorithm☆13Updated 10 years ago
- 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