prasoongoyal / bnp-vaeLinks
☆11Updated 7 years ago
Alternatives and similar repositories for bnp-vae
Users that are interested in bnp-vae are comparing it to the libraries listed below
Sorting:
- Variational Auto-encoder with Non-parametric Bayesian Prior☆43Updated 8 years ago
- ☆152Updated 7 years ago
- codes for Variational Autoencoder for Semi-supervised Text Classification☆40Updated 7 years ago
- Code for EMNLP18 paper "Spherical Latent Spaces for Stable Variational Autoencoders"☆171Updated 7 years ago
- Unsupervised clustering with (Gaussian mixture) VAEs☆301Updated 9 years ago
- PyTorch implementation of AVITM☆159Updated 7 years ago
- ☆17Updated 5 years ago
- implementation of different Dirichlet Variational Autoencoder Topic Models in Tensorflow☆49Updated 2 years ago
- Code accompanying our paper at AISTATS 2020☆21Updated 4 years ago
- Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders☆214Updated 5 years ago
- Deep Generative Models with Stick-Breaking Priors☆96Updated 9 years ago
- Source code for Naesseth et. al. "Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms" (2017)☆38Updated 8 years ago
- Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…☆63Updated 5 years ago
- ☆24Updated 6 years ago
- Replication of Semi-Supervised Learning with Deep Generative Models☆100Updated 9 years ago
- Conditional variational autoencoder implementation in Torch☆107Updated 9 years ago
- Tensorflow implementation of Hyperspherical Variational Auto-Encoders☆237Updated 7 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 with Gaussian Mixture Latent Space☆36Updated 8 years ago
- Mixed Membership Stochastic Blockmodel Implementation with 3 Inference Schemes☆24Updated 10 years ago
- Implementation of VLAE☆214Updated 8 years ago
- Recurrent Variational Autoencoder with Dilated Convolutions that generates sequential data implemented in pytorch☆71Updated 4 years ago
- PyTorch implementation of "Lagging Inference Networks and Posterior Collapse in Variational Autoencoders" (ICLR 2019)☆185Updated 5 years ago
- Code for some of the experiments I did with variational autoencoders on multi-modality and atari video prediction. Atari video prediction…☆62Updated 9 years ago
- Tensorflow implementation for prodLDA and NVLDA.☆255Updated 4 years ago
- A variational recurrent neural network implementation in tensorflow☆104Updated 8 years ago
- ☆110Updated 8 years ago
- Python code for paper - Variational Deep Embedding : A Generative Approach to Clustering☆310Updated 7 years ago
- Variational inference for Dirichlet process mixture models with multinomial mixture components.☆35Updated 11 years ago
- Source code for the paper "Hyperbolic Neural Networks", https://arxiv.org/abs/1805.09112☆182Updated 5 years ago