Alternatives and similar repositories for orthogonal-denoising-autoencoder

Users that are interested in orthogonal-denoising-autoencoder are comparing it to the libraries listed below

• yenchanghsu / NNclustering
  The demo code for "Neural network-based clustering using pairwise constraints" (http://arxiv.org/abs/1511.06321)
  ☆72Updated 7 years ago
• wlwkgus / GibbsNet
  Implementation of paper "GibbsNet: Iterative Adversarial Inference for Deep Graphical Models" in PyTorch
  ☆57Updated 7 years ago
• anirudh9119 / LM_GANS
  Professor Forcing, NIPS'16
  ☆45Updated 8 years ago
• lipiji / variational-autoencoder-theano
  Variational Autoencoders (VAEs) in Theano for Images and Text
  ☆54Updated 7 years ago
• RuiShu / tensorbayes
  Deep variational inference in tensorflow
  ☆56Updated 7 years ago
• xiaojudou / ICML2017_arXiv
  ICML 2017 accepted papers on arXiv.org
  ☆17Updated 8 years ago
• ml-lab / auxiliary-deep-generative-models
  Implementation of auxiliary deep generative models for semi-supervised learning
  ☆28Updated 9 years ago
• fducau / infoVAE
  ☆16Updated 7 years ago
• yaoli / nade_k
  An iterative neural autoregressive distribution estimator (NADE-K)
  ☆26Updated 10 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
• hjweide / adversarial-autoencoder
  A Lasagne and Theano implementation of the paper Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, and Ian Goodfellow.
  ☆41Updated 9 years ago
• hycis / transfer_learning
  Mozi, Transfer Learning, Multi-Modal Learning, Theano
  ☆27Updated 9 years ago
• c0nn3r / pytorch_highway_networks
  Highway networks implemented in PyTorch.
  ☆55Updated 8 years ago
• ToniCreswell / DAAE_
  Denoising Adversairal Autoencoders
  ☆40Updated 8 years ago
• RuiShu / cvae
  Conditional variational autoencoder implementation in Torch
  ☆105Updated 9 years ago
• jazzsaxmafia / dcgan_tensorflow
  Tensorflow implementation of "UNSUPERVISED REPRESENTATION LEARNING WITH DEEP CONVOLUTIONAL GENERATIVE ADVERSARIAL NETWORKS"
  ☆81Updated 8 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
• zhenxuan00 / mmdgm
  Code of "Max-margin Deep Generative Models" (NIPS15)
  ☆18Updated 9 years ago
• JeremyCCHsu / Gumbel-Softmax-VAE-in-tensorflow
  Semi-Supervised Learning with Categorical VAE (experimented on MNIST)
  ☆29Updated 7 years ago
• lucastheis / ride
  Code for the recurrent image density estimator
  ☆29Updated 9 years ago
• dannysdeng / selu
  A pytorch implementation of "Self-Normalizing Neural Networks" by Klambauer et al. (still beta)
  ☆60Updated 8 years ago
• frkl / active-learning
  Active learning for deep learning
  ☆19Updated 6 years ago
• y0ast / Variational-Recurrent-Autoencoder
  Implementation of the VRAE
  ☆60Updated 4 years ago
• paulbertens / rank-ordered-autoencoder
  Rank Ordered Autoencoder implementation as described in https://arxiv.org/abs/1605.01749
  ☆34Updated 9 years ago
• bernard24 / Embarrassingly-simple-ZSL
  This repository contains the code for the real data experiments presented in our paper “An embarrassingly simple approach to zero-shot l…
  ☆68Updated 9 years ago
• mganjoo / zslearning
  Repository for our paper "Zero-Shot Learning Through Cross-Modal Transfer" from NIPS 2013.
  ☆54Updated 11 years ago
• Shuangfei / vgan
  ☆18Updated 8 years ago
• crcrpar / chainer-VAE
  DEPRECATED!!! the same as official VAE example, but using Trainer in this repo
  ☆30Updated 7 years ago
• javiergonzalezh / dpp
  Python package to sample from determinantal point processes
  ☆18Updated 10 years ago
• gngdb / variational-dropout
  Replication of the paper "Variational Dropout and the Local Reparameterization Trick" using Lasagne.
  ☆33Updated 7 years ago