abietti / dpmmLinks
Variational inference for Dirichlet process mixture models with multinomial mixture components.
☆35Updated 11 years ago
Alternatives and similar repositories for dpmm
Users that are interested in dpmm are comparing it to the libraries listed below
Sorting:
- Variational Autoencoders with Gaussian Mixture Latent Space☆36Updated 8 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆65Updated 5 years ago
- Deep Generative Models with Stick-Breaking Priors☆96Updated 9 years ago
- Variational Dirichlet Process Gaussian Mixture Models☆29Updated 10 years ago
- Variational Auto-encoder with Non-parametric Bayesian Prior☆43Updated 8 years ago
- Source code for Naesseth et. al. "Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms" (2017)☆38Updated 8 years ago
- Code to minimize the Variational Contrastive Divergence (VCD)☆29Updated 6 years ago
- A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…