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 Auto-encoder with Non-parametric Bayesian Prior☆43Updated 8 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆42Updated 2 years ago
- Deep Generative Models with Stick-Breaking Priors☆96Updated 9 years ago
- A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…☆54Updated last year
- Variational Autoencoders with Gaussian Mixture Latent Space☆36Updated 8 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆66Updated 5 years ago
- Source code for Naesseth et. al. "Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms" (2017)☆38Updated 8 years ago
- Conditional variational autoencoder implementation in Torch☆107Updated 9 years ago
- Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…☆63Updated 5 years ago
- Z Forcing: Training Stochastic RNN's, NIPS'17☆32Updated 8 years ago
- Variational Dirichlet Process Gaussian Mixture Models☆29Updated 10 years ago
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆52Updated 4 years ago
- A tensorflow implementation of VAE training with Renyi divergence☆31Updated 9 years ago
- Code to minimize the Variational Contrastive Divergence (VCD)☆29Updated 6 years ago
- ☆17Updated 7 years ago
- MADE: Masked Autoencoder for Distribution Estimation☆103Updated 5 years ago
- The code for the ACL 2017 paper "Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling"☆29Updated 8 years ago
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆30Updated 5 years ago
- PyTorch implementation of AVF☆45Updated 5 years ago
- Deep convolutional gaussian processes.☆82Updated 6 years ago
- Python implementation of the PR-SSM.☆56Updated 7 years ago
- ZForcing Repo☆40Updated 8 years ago
- Code for the paper Implicit Weight Uncertainty in Neural Networks☆65Updated 6 years ago
- Gaussian Processes in Pytorch☆75Updated 5 years ago
- Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)☆27Updated 6 years ago
- Dirichlet Process Mixture Models☆22Updated 9 years ago
- Sampling via Moment Sharing☆11Updated 10 years ago
- Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"☆103Updated 9 years ago
- SparseMax activation function implementation (ICML 2016) (PyTorch)☆28Updated 7 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆100Updated 7 years ago