jxnl / dirichlet-vaeLinks
investigating use of variational auto encoders with multinomial latent variables for unsupervised data.
☆24Updated 7 years ago
Alternatives and similar repositories for dirichlet-vae
Users that are interested in dirichlet-vae are comparing it to the libraries listed below
Sorting:
- Source code for Naesseth et. al. "Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms" (2017)☆39Updated 8 years ago
- Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…☆62Updated 5 years ago
- Dirichlet-Variational Auto-Encoder by PyTorch☆22Updated 2 years ago
- implementation of different Dirichlet Variational Autoencoder Topic Models in Tensorflow☆49Updated 2 years ago
- code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".☆124Updated last year
- Variational Auto-encoder with Non-parametric Bayesian Prior☆43Updated 8 years ago
- Implementation of "Learning latent subspaces in variational autoencoders"☆20Updated 5 years ago
- ☆38Updated 4 years ago
- Implementation of different Normalizing Flows, NF, Planar Flows, IAF, etc.☆28Updated 7 years ago
- Code for "Learning with minibatch Wasserstein: asymptotic and gradient properties".☆13Updated 4 years ago
- Variational Autoencoders with Gaussian Mixture Latent Space☆36Updated 7 years ago
- ☆19Updated 3 years ago
- Code for the Thermodynamic Variational Objective☆26Updated 2 years ago
- Variational autoencoders: VAE, gaussian mixture VAE (GMVAE), and a basic ladder VAE (LVAE)☆47Updated 5 years ago
- Learning Generative Models across Incomparable Spaces (ICML 2019)☆27Updated 5 years ago
- code submission to NeurIPS2019☆13Updated last year
- ☆11Updated 7 years ago
- Code for Graphite iterative graph generation☆59Updated 6 years ago
- An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU…☆72Updated 7 years ago
- Variational Autoencoders & Normalizing Flows Project☆18Updated 8 years ago
- A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…☆54Updated 7 months ago
- Code for "Inference Suboptimality in Variational Autoencoders"☆14Updated 5 years ago
- Variational inference in Dirichlet process Gaussian mixture model (tensorflow implementation)☆13Updated 6 years ago
- A PyTorch re-implementation of "Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives"☆18Updated 5 years ago
- Implementation of Normalizing flows on MNIST https://arxiv.org/abs/1505.05770☆14Updated 6 years ago
- A Recurrent Latent Variable Model for Sequential Data☆27Updated 7 years ago
- PyTorch implementation of nonsymmetric determinantal point process (DPP) learning.☆24Updated 2 years ago
- Learning Autoencoders with Relational Regularization☆46Updated 4 years ago
- Keras implementation of Deep Wasserstein Embeddings☆48Updated 7 years ago
- Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)☆32Updated 3 years ago