tolstikhin / wae
Wasserstein Auto-Encoders
☆507Updated 6 years ago
Alternatives and similar repositories for wae:
Users that are interested in wae are comparing it to the libraries listed below
- PyTorch implementation of Wasserstein Auto-Encoders☆295Updated 4 years ago
- Implementations of various VAE-based semi-supervised and generative models in PyTorch☆705Updated 5 years ago
- MMD-GAN: Towards Deeper Understanding of Moment Matching Network☆198Updated last year
- A curated list of research papers related to learning disentangled representations☆463Updated 5 years ago
- A wizard's guide to Adversarial Autoencoders☆436Updated 3 years ago
- Generative image model with learned similarity measures☆441Updated 8 years ago
- Implementation of VLAE☆215Updated 7 years ago
- Chainer implementation of adversarial autoencoder (AAE)☆257Updated 7 years ago
- ☆200Updated 7 years ago
- VAEGAN from "Autoencoding beyond pixels using a learned similarity metric" implemented in Pytorch. Clean, clear and with comments.☆188Updated 7 years ago
- ☆237Updated 5 years ago
- Replicating "Understanding disentangling in β-VAE"☆197Updated 6 years ago
- implement infoGAN using pytorch☆154Updated 6 years ago
- This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoe…☆206Updated 7 years ago
- Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling☆228Updated 6 years ago
- Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation☆464Updated 6 years ago
- categorical variational autoencoder using the Gumbel-Softmax estimator☆430Updated 7 years ago
- code for "Isolating Sources of Disentanglement in Variational Autoencoders".☆348Updated 2 years ago
- Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)☆269Updated 6 years ago
- Improved WGAN in Pytorch☆440Updated last year
- code for "Adversarial Feature Learning"☆238Updated 2 years ago
- Good Semi-Supervised Learning That Requires a Bad GAN☆180Updated 7 years ago
- Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN,…☆497Updated 6 years ago
- Code for reproducing results of NIPS 2014 paper "Semi-Supervised Learning with Deep Generative Models"☆513Updated 10 years ago
- Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders☆213Updated 5 years ago
- Caffe code to accompany my Tutorial on Variational Autoencoders☆512Updated 8 years ago
- Code for "Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer"☆245Updated 6 years ago
- Learning kernels to maximize the power of MMD tests☆210Updated 7 years ago
- Pytorch implementation of β-VAE☆536Updated 4 years ago
- A Tensorflow implementation of a Variational Autoencoder for the deep learning course at the University of Southern California (USC).☆130Updated 5 years ago