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:
- matlab code for convex optimization based tensor decomposition (completion/denoising)☆44Updated 11 years ago
- A MATLAB implementation of Auto-Encoding Variational Bayes☆48Updated 9 years ago
- A MATLAB project containing many popular / existing constrained clustering algorithms☆27Updated 7 years ago
- Code for Implementation, Inference, and Learning of Bayesian and Markov Networks along with some practical examples.☆104Updated 12 years ago
- Deep Gaussian Processes in matlab☆93Updated 4 years ago
- Active learning toolbox for MATLAB☆46Updated 8 years ago
- The Matlab Code for the ICML 2015 paper "Scalable Deep Poisson Factor Analysis for Topic Modeling"☆19Updated 10 years ago
- Tensor Train Rank-1 decomposition☆19Updated 6 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆67Updated 8 years ago
- A matlab library for CUR matrix decomposition☆27Updated 8 years ago
- Matlab implementations of Gaussian processes and other machine learning tools.☆144Updated 8 years ago
- Bayesian GPLVM in MATLAB and R☆77Updated 8 years ago
- Matlab Code for Variational Gaussian Copula Inference☆16Updated 9 years ago
- Theano-based implementation of Deep Semi-NMF.☆121Updated 10 years ago
- Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.☆44Updated 11 years ago
- Dropout As A Bayesian Approximation: Code☆204Updated 10 years ago
- KMeans for big data using preconditioning and sparsification, Matlab implementation. Aka k-means☆60Updated 5 years ago
- A matlab toolbox to perform Wasserstein Dictionary Learning or NMF☆32Updated 9 years ago
- Additive Gaussian Process Bandits - version 1.0☆27Updated 9 years ago
- Code for the paper 'Efficient Variational Inference for Gaussian Process Regression Networks'☆22Updated 12 years ago
- Dirichlet Process Mixture using PVI, SMC, Variational☆15Updated 11 years ago
- ☆22Updated 10 years ago
- Spectral Clustering for Complex Graphs☆39Updated 11 years ago
- Nonparametric Bayesian Inference for Sequential Data. Includes state-of-the-art MCMC inference for Beta process Hidden Markov Models (BP…☆78Updated 7 years ago
- Convolutional Gaussian processes based on GPflow.☆95Updated 8 years ago
- Deep generative models for semi-supervised learning.☆109Updated 9 years ago
- Variational Inference in Gaussian Mixture Model☆61Updated 5 years ago
- Deep exponential families (DEFs)☆55Updated 7 years ago
- Variational Dirichlet Process Gaussian Mixture Models☆29Updated 10 years ago
- A Python convex optimization package using proximal splitting methods☆119Updated 4 months ago