wOOL / InfiGMM
Infinite Gaussian Mixture Model / Variational EM
☆12Updated 10 years ago
Related projects: ⓘ
- A matlab toolbox to perform Wasserstein Dictionary Learning or NMF☆31Updated 8 years ago
- matlab code for convex optimization based tensor decomposition (completion/denoising)☆41Updated 9 years ago
- see https://github.com/thangbui/geepee for a faster implementation☆36Updated 7 years ago
- simple MATLAB code for randomized matrix computation☆23Updated 8 years ago
- Matlab code for implementing Nonnegativity Constrained Autoencoder (NCAE) for Deep Learning.☆13Updated 8 years ago
- Tensor Train Rank-1 decomposition☆18Updated 5 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
- Matlab/Octave toolbox for nonconvex optimization☆49Updated 8 years ago
- Tensorflow Implementation of "Large-scale Optimal Transport and Mapping Estimation"(ICLR2018/NIPS 2017 OTML)☆19Updated 6 years ago
- Matlab Code for Variational Gaussian Copula Inference☆16Updated 8 years ago
- AAAI & CVPR 2016: Preconditioned Stochastic Gradient Langevin Dynamics (pSGLD)☆35Updated 6 years ago
- ☆39Updated 5 years ago
- Recursive importance sampling for Nyström kernel matrix approximation☆14Updated 7 years ago
- Deep Gaussian Processes in matlab☆90Updated 3 years ago
- Additive Gaussian Process Bandits - version 1.0☆25Updated 7 years ago
- code and data for the paper `Kernel Manifold Alignment for domain adaptation'☆19Updated 8 years ago
- A MATLAB implementation of Auto-Encoding Variational Bayes☆42Updated 7 years ago
- Variational Dirichlet Process Gaussian Mixture Models☆27Updated 9 years ago
- Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.☆43Updated 10 years ago
- A collection of Gaussian process models☆29Updated 7 years ago
- Kernel Methods Toolbox for Matlab/Octave☆52Updated 5 years ago
- Dirichlet process mixture model code in Matlab. Sampling and variational.☆69Updated 11 years ago
- Implementation of learning a Gaussian mixture model using tensor decomposition.☆16Updated 7 years ago
- Code for the paper 'Efficient Variational Inference for Gaussian Process Regression Networks'☆22Updated 10 years ago
- Variational Inference in Gaussian Mixture Model☆58Updated 3 years ago
- NonNegative Matrix Factorization with Low Rank via the Alternating Direction Method of Multipliers☆9Updated 7 years ago
- Variational Gaussian Process State-Space Models☆21Updated 8 years ago
- Stochastic Optimization for Optimal Transport☆22Updated 7 years ago
- A MATLAB project containing many popular / existing constrained clustering algorithms☆27Updated 6 years ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 9 years ago