Installation
About
Deep Gaussian mixture models as proposed by Viroli and McLachlan (2019) doi:10.1007/s11222-017-9793-z provide a generalization of classical Gaussian mixtures to multiple layers. Each layer contains a set of latent variables that follow a mixture of Gaussian distributions. To avoid overparameterized solutions, dimension reduction is applied at each layer by way of factor models.
github.com/suren-rathnayake/deepgmm |
Key Metrics
Downloads
Yesterday | 2 0% |
Last 7 days | 53 -30% |
Last 30 days | 231 -4% |
Last 90 days | 682 -26% |
Last 365 days | 3.031 -12% |