conan7882 / adversarial-autoencodersLinks
Tensorflow implementation of Adversarial Autoencoders
☆247Updated 6 years ago
Alternatives and similar repositories for adversarial-autoencoders
Users that are interested in adversarial-autoencoders are comparing it to the libraries listed below
Sorting:
- A wizard's guide to Adversarial Autoencoders☆431Updated 4 years ago
- Code for "Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer"☆244Updated 7 years ago
- Chainer implementation of adversarial autoencoder (AAE)☆256Updated 7 years ago
- Tensorflow implementation of Gated Conditional Pixel Convolutional Neural Network☆481Updated 7 years ago
- HOTTBOX: Higher Order Tensors ToolBOX.☆171Updated 5 years ago
- ☆200Updated 8 years ago
- Torch implementations of various types of autoencoders☆475Updated 8 years ago
- This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoe…☆208Updated 7 years ago
- Experiments with beta-VAE to learn disentangled representations from the data☆65Updated 6 years ago
- Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017)☆1,018Updated 7 years ago
- code for "Adversarial Feature Learning"☆239Updated 3 years ago
- Vanilla GAN implemented on top of keras/tensorflow enabling rapid experimentation & research. Branches correspond to implementations of s…☆219Updated 8 years ago
- Code to reproduce results from the paper "AmbientGAN: Generative models from lossy measurements"☆90Updated 7 years ago
- Auxiliary Classifier Generative Adversarial Networks in Keras☆213Updated 7 years ago
- Implementation of Bayesian Recurrent Neural Networks by Fortunato et. al☆219Updated 6 years ago
- Code for my Master thesis on "Capsule Architecture as a Discriminator in Generative Adversarial Networks".☆128Updated 2 years ago
- This repo houses the new PNN code, along with our responses to the issue raised in the recent Reddit discussion. The code is based on Mic…☆234Updated 6 years ago
- Wasserstein Auto-Encoders☆508Updated 7 years ago
- Implemented Variational Autoencoder generative model in Keras for image generation and its latent space visualization on MNIST and CIFAR1…☆123Updated 7 years ago
- Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN,…☆501Updated 6 years ago
- A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation☆128Updated 4 years ago
- Tensorflow implementation of Hyperspherical Variational Auto-Encoders☆234Updated 6 years ago
- Dilated RNNs in pytorch☆211Updated 6 years ago
- InfoGAN: Interpretable Representation Learning☆153Updated 8 years ago
- ☆116Updated 2 years ago
- Unrolled Generative Adversarial Networks☆293Updated 7 years ago
- Code for the paper CVPR‘18 "A Generative Adversarial Approach for Zero-Shot Learning from Noisy Texts"☆196Updated 3 years ago
- Code for the paper "Adversarial Generator-Encoder Networks"☆287Updated 7 years ago
- Learning kernels to maximize the power of MMD tests☆210Updated 7 years ago
- Capsule networks can defend against adversarial attacks using reconstruction error☆13Updated 7 years ago