patrickgadd / decorrelated-adversarial-autoencoderLinks
Tensorflow implementation of Adversarial Autoencoders (with extra option to decorrelate style and classes)
☆31Updated 8 years ago
Alternatives and similar repositories for decorrelated-adversarial-autoencoder
Users that are interested in decorrelated-adversarial-autoencoder are comparing it to the libraries listed below
Sorting:
- Lasagne code for weight normalization☆88Updated 9 years ago
- Tensorflow Implementation on "The Cramer Distance as a Solution to Biased Wasserstein Gradients" (https://arxiv.org/pdf/1705.10743.pdf)☆123Updated 8 years ago
- Code for the models in "PixelVAE: A Latent Variable Model for Natural Images" (https://arxiv.org/abs/1611.05013☆94Updated 8 years ago
- Wasserstein DCGAN in Tensorflow/Keras☆93Updated 8 years ago
- Implementation of auxiliary deep generative models for semi-supervised learning☆28Updated 10 years ago
- Deep generative models for semi-supervised learning.☆109Updated 9 years ago
- Working Theano implementation of Pixel RNN on MNIST.☆76Updated 9 years ago
- A pytorch implementation of "Self-Normalizing Neural Networks" by Klambauer et al. (still beta)☆60Updated 8 years ago
- repository for the Variational Autoencoder (VAE) blogpost series from Fast Forward Labs☆103Updated 8 years ago
- Code for "Sequential Neural Models with Stochastic Layers"☆117Updated 9 years ago
- Batch normalized LSTM for tensorflow☆178Updated 9 years ago
- Implementation of Adversarial Autoencoder with Theano☆40Updated 9 years ago
- PixelVAE with or without regularization☆68Updated 8 years ago
- Code for the paper "Improving Variational Auto-Encoders using Householder Flow" (https://arxiv.org/abs/1611.09630)☆74Updated 8 years ago
- Signal Processing Library for PyTorch☆39Updated 8 years ago
- A Lasagne and Theano implementation of the paper Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, and Ian Goodfellow.☆41Updated 9 years ago
- Code for Attentive Recurrent Comparators☆58Updated 8 years ago
- Structured Receptive Fields in Convolutional Neural Networks☆47Updated 7 years ago
- Using Residual Generative Adversarial Networks and Variational Auto-encoder techniques to produce high resolution images.☆126Updated 9 years ago
- ☆78Updated 10 years ago
- Tensorflow implementation of Adversarial Autoencoders (https://arxiv.org/abs/1511.05644)☆37Updated 7 years ago
- Weight initialization schemes for PyTorch nn.Modules☆70Updated 8 years ago
- Theano reimplementation of pixelCNN architecture☆166Updated 9 years ago
- Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"☆104Updated 9 years ago
- ☆138Updated 8 years ago
- Gumbel-Softmax Variational Autoencoder with Keras☆134Updated 8 years ago
- Forward Thinking NIPS 2017☆107Updated 7 years ago
- Code for paper "L4: Practical loss-based stepsize adaptation for deep learning"☆124Updated 6 years ago
- Tensorflow implementation of "UNSUPERVISED REPRESENTATION LEARNING WITH DEEP CONVOLUTIONAL GENERATIVE ADVERSARIAL NETWORKS"☆81Updated 8 years ago
- AdaGAN: greedy iterative procedure to train mixtures of GANs☆78Updated 8 years ago