shmpanski / t-vae
Transformer Variational Autoencoder experiment
☆49Updated 6 years ago
Alternatives and similar repositories for t-vae:
Users that are interested in t-vae are comparing it to the libraries listed below
- Transformer-Based Conditioned Variational Autoencoder for Story Completion☆94Updated 4 years ago
- pytorch implementation of VAE-Gumble-Softmax☆62Updated 4 years ago
- SparseMax activation function implementation (ICML 2016) (PyTorch)☆27Updated 7 years ago
- Variational Transformers for Diverse Response Generation☆81Updated 8 months ago
- Pytorch Adversarial Auto Encoder (AAE)☆86Updated 6 years ago
- Code for reversible recurrent neural networks☆38Updated 6 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 4 years ago
- ☆192Updated 2 years ago
- Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…☆63Updated 4 years ago
- Implementation of the MMD VAE paper (InfoVAE: Information Maximizing Variational Autoencoders) in pytorch☆42Updated 4 years ago
- An implementation of DIP-VAE from the paper "Variational Inference of Disentangled Latent Concepts from Unlabelled Observations" by Kumar…☆24Updated 6 years ago
- ☆22Updated 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 6 years ago
- A curated list of techniques to avoid posterior collapse☆87Updated 2 years ago
- This is a PyTorch implementation of the ICLR 2017 paper "HIERARCHICAL MULTISCALE RECURRENT NEURAL NETWORKS" (https://openreview.net/pdf?i…☆51Updated 7 years ago
- A library for making Transformer Variational Autoencoders. (Extends the Huggingface/transformers library.)☆137Updated 3 years ago
- This repository summarizes techniques for KL divergence vanishing problem.☆30Updated 5 years ago
- Code for EMNLP18 paper "Spherical Latent Spaces for Stable Variational Autoencoders"☆168Updated 6 years ago
- ☆120Updated 5 years ago
- Variational autoencoders: VAE, gaussian mixture VAE (GMVAE), and a basic ladder VAE (LVAE)☆46Updated 4 years ago
- Variational Autoencoders with Gaussian Mixture Latent Space☆36Updated 7 years ago
- Implementation of "Learning latent subspaces in variational autoencoders"☆20Updated 5 years ago
- On Variational Learning of Controllable Representations for Text without Supervision https://arxiv.org/abs/1905.11975☆27Updated 4 years ago
- Variational Auto-encoder with Non-parametric Bayesian Prior☆42Updated 7 years ago
- Masked Convolutional Flow☆59Updated 4 years ago
- ReGAN: Sequence GAN using RE[INFORCE|LAX|BAR] based PG estimators☆40Updated 6 years ago
- PyTorch implementation of "Lagging Inference Networks and Posterior Collapse in Variational Autoencoders" (ICLR 2019)☆183Updated 4 years ago
- Humans understand novel sentences by composing meanings and roles of core language components. In contrast, neural network models for nat…☆27Updated 4 years ago
- [WNGT(2019)] On the Importance of the Kullback-Leibler Divergence Term in Variational Autoencoders for Text Generation☆11Updated 2 years ago
- This repository contains a pytorch implementation for the paper: Multi-Level Variational Autoencoder (https://arxiv.org/abs/1705.08841), …☆70Updated 3 years ago