Alternatives and similar repositories for AAE:

Users that are interested in AAE are comparing it to the libraries listed below

• xiaolonw / ss-gan
  Style and Structure GAN (ECCV 2016)
  ☆111Updated 7 years ago
• victor-shepardson / alpha-GAN
  pytorch implementation of Rosca, Mihaela, et al. "Variational Approaches for Auto-Encoding Generative Adversarial Networks." arXiv prepri…
  ☆80Updated 7 years ago
• edenton / cc-gan
  ☆13Updated 7 years ago
• ermongroup / Generalized-PixelVAE
  PixelVAE with or without regularization
  ☆66Updated 7 years ago
• e-lab / pytorch-CortexNet
  ☆44Updated 7 years ago
• chrisdonahue / sdgan
  Official implementation of "Semantically Decomposing the Latent Spaces of Generative Adversarial Networks"
  ☆95Updated 6 years ago
• kjunelee / WINN
  Wasserstein Introspective Neural Networks (CVPR 2018 Oral)
  ☆59Updated 6 years ago
• berleon / deepdecoder
  ☆50Updated 2 years ago
• lrjconan / deep_parsimonious
  Learning Deep Parsimonious Representations, Deep Learning, Clustering, NIPS 2016
  ☆14Updated 5 years ago
• seann999 / tensorflow_mnist_ram
  An attempt to implement the recurrent attention model (RAM) from "Recurrent Models of Visual Attention" (Mnih+ 2014)
  ☆43Updated 4 years ago
• stormraiser / GAN-weight-norm
  Code for "On the Effects of Batch and Weight Normalization in Generative Adversarial Networks"
  ☆181Updated 7 years ago
• layerwise / AAE-tensorflow
  Tensorflow implementation of Adversarial Autoencoders (https://arxiv.org/abs/1511.05644)
  ☆38Updated 7 years ago
• anitan0925 / vaegan
  An implementation of VAEGAN (variational autoencoder + generative adversarial network).
  ☆93Updated 7 years ago
• musyoku / LSGAN
  Chainer implementation of Least Squares GAN (LSGAN)
  ☆53Updated 7 years ago
• MichaelMathieu / factors-variation
  Code of the paper `Disentangling factors of variation in deep representations using adversarial training` by Mathieu, Zaho, Ramesh, Sprec…
  ☆21Updated 7 years ago
• gaohuang / DenseNet_lite
  A more memory efficient Torch implementation of "Densely Connected Convolutional Networks".
  ☆29Updated 7 years ago
• igul222 / pixel_rnn
  Working Theano implementation of Pixel RNN on MNIST.
  ☆76Updated 8 years ago
• edgarriba / ali-pytorch
  Adversarially Learned Inference in Pytorch
  ☆30Updated 7 years ago
• jiwoongim / GRAN
  ☆121Updated 7 years ago
• ChunyuanLI / ALICE
  NIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching
  ☆82Updated 6 years ago
• shreyassaxena / convolutional-neural-fabrics
  Architecture learning for CNN's
  ☆37Updated 7 years ago
• jnhwkim / cbp
  Multimodal Compact Bilinear Pooling for Torch7
  ☆68Updated 8 years ago
• dannysdeng / selu
  A pytorch implementation of "Self-Normalizing Neural Networks" by Klambauer et al. (still beta)
  ☆59Updated 7 years ago
• guojunq / glsgan
  Generalized Loss-Sensitive Generative Adversarial Networks (GLS-GAN)
  ☆46Updated 7 years ago
• musyoku / wasserstein-gan
  Chainer implementation of Wasserstein GAN
  ☆95Updated 7 years ago
• hvy / chainer-gan-denoising-feature-matching
  Chainer implementation of Improving Generative Adversarial Networks with Denoising Feature Matching
  ☆28Updated 7 years ago
• yuandong-tian / ICML17_ReLU
  ☆29Updated 7 years ago
• LiqunChen0606 / Triangle-GAN
  implementation for NIPS paper Triangle Generative Adversarial Networks
  ☆61Updated 7 years ago
• xcyan / eccv16_attr2img
  Torch Implemention of ECCV'16 paper: Attribute2Image
  ☆95Updated 5 years ago
• hjweide / adversarial-autoencoder
  A Lasagne and Theano implementation of the paper Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, and Ian Goodfellow.
  ☆41Updated 8 years ago