Alternatives and similar repositories for DAAE_

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

• wlwkgus / GibbsNet
  Implementation of paper "GibbsNet: Iterative Adversarial Inference for Deep Graphical Models" in PyTorch
  ☆57Updated 7 years ago
• shagunsodhani / pregel
  Tensorflow implementation of Graph Convolutional Network
  ☆77Updated 4 years ago
• jhjacobsen / HierarchicalCNN
  ☆29Updated 7 years ago
• shreyassaxena / convolutional-neural-fabrics
  Architecture learning for CNN's
  ☆37Updated 8 years ago
• hjweide / adversarial-autoencoder
  A Lasagne and Theano implementation of the paper Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, and Ian Goodfellow.
  ☆41Updated 9 years ago
• vsuriya93 / Deep-Learning-for-Graph-Representations
  This contains my M.Tech project work on using Deep Leanring for learning graph representations. Data will be provided on request
  ☆33Updated 8 years ago
• yenchanghsu / NNclustering
  The demo code for "Neural network-based clustering using pairwise constraints" (http://arxiv.org/abs/1511.06321)
  ☆72Updated 7 years ago
• fducau / infoVAE
  ☆16Updated 7 years ago
• jazzsaxmafia / dcgan_tensorflow
  Tensorflow implementation of "UNSUPERVISED REPRESENTATION LEARNING WITH DEEP CONVOLUTIONAL GENERATIVE ADVERSARIAL NETWORKS"
  ☆81Updated 8 years ago
• YixuanLi / convergent_learning
  Code for paper "Convergent Learning: Do different neural networks learn the same representations?"
  ☆86Updated 9 years ago
• cameronfabbri / LSGANs-Tensorflow
  Least Squares GANs in Tensorflow
  ☆17Updated 8 years ago
• DanielSlater / Net2Net
  numpy implementation of net 2 net from the paper Net2Net: Accelerating Learning via Knowledge Transfer http://arxiv.org/abs/1511.05641
  ☆53Updated 9 years ago
• edouardoyallon / scalingscattering
  ☆82Updated 7 years ago
• dannysdeng / selu
  A pytorch implementation of "Self-Normalizing Neural Networks" by Klambauer et al. (still beta)
  ☆60Updated 8 years ago
• iwyoo / tf_ConvWTA
  Tensorflow implementation of convolutional Winner-Take-All Autoencdoer
  ☆29Updated 7 years ago
• tolstikhin / adagan
  AdaGAN: greedy iterative procedure to train mixtures of GANs
  ☆76Updated 7 years ago
• rdevon / BGAN
  boundary-seeking generative adversarial networks
  ☆46Updated 7 years ago
• orobix / Visual-Feature-Attribution-Using-Wasserstein-GANs-Pytorch
  Implementation of Visual Feature Attribution using Wasserstein GANs (VAGANs, https://arxiv.org/abs/1711.08998) in PyTorch
  ☆93Updated 2 years ago
• davidtellez / adda_mnist64
  Adversarial Discriminative Domain Adaptation with MNIST 64x64 in Lasagne-Theano
  ☆32Updated 8 years ago
• iDurugkar / GMAN
  GANs with multiple Discriminators
  ☆78Updated 2 years ago
• jhjacobsen / RFNN
  Structured Receptive Fields in Convolutional Neural Networks
  ☆47Updated 7 years ago
• divelab / dtn
  ☆57Updated 7 years ago
• RuiShu / tensorbayes
  Deep variational inference in tensorflow
  ☆56Updated 7 years ago
• CIFASIS / splitting_gan
  Code for Class-Splitting Generative Adversarial Networks
  ☆32Updated 7 years ago
• ml-lab / auxiliary-deep-generative-models
  Implementation of auxiliary deep generative models for semi-supervised learning
  ☆28Updated 9 years ago
• kuleshov / tf-wgan
  Wasserstein DCGAN in Tensorflow/Keras
  ☆93Updated 8 years ago
• bmsookim / wide-residual-network
  Wide-residual network implementations. Best result for cifar10(97.12%), cifar100(84.12%), and other kaggle challenges
  ☆37Updated 8 years ago
• tymokvo / AEGeAN
  Deeper DCGAN with AE stabilization
  ☆38Updated last year
• edwin-de-jong / incremental-sequence-learning
  Implementation of the Incremental Sequence Learning algorithms described in the Incremental Sequence Learning article
  ☆40Updated 7 years ago
• greentfrapp / doping
  Code for DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN
  ☆15Updated 7 years ago