Alternatives and similar repositories for Sparse-Autoencoders:

Users that are interested in Sparse-Autoencoders are comparing it to the libraries listed below

• vbezgachev / semi-supervised-gan
  PyTorch implementation of semi-supervised GAN
  ☆14Updated 7 years ago
• animebing / mnist_tsne
  t-sne visualization of mnist images when feature is represented by raw pixels and cnn learned feature
  ☆64Updated 6 years ago
• samotiian / CCSA
  "Unified Deep Supervised Domain Adaptation and Generalization" (ICCV 2017)
  ☆102Updated 5 years ago
• shuuchen / video_autoencoder
  Video lstm auto encoder built with pytorch. https://arxiv.org/pdf/1502.04681.pdf
  ☆41Updated 6 years ago
• ljain2 / libsvm-openset
  ☆51Updated 10 years ago
• pmorerio / minimal-entropy-correlation-alignment
  Code for the paper "Minimal-Entropy Correlation Alignment for Unsupervised Deep Domain Adaptation", ICLR 2018
  ☆63Updated 5 years ago
• abhijitbendale / OWR
  Code and data for Paper - Towards Open World Recognition - CVPR 2015
  ☆21Updated 6 years ago
• erlendd / ddan
  Deep domain adaptation networks (DDAN) library for Python with TensorFlow.
  ☆71Updated 5 years ago
• Heliot7 / open-set-da
  Open set domain adaptation
  ☆86Updated 5 years ago
• shaoanlu / experiment-with-res2net
  Experiment with Res2Net. https://arxiv.org/abs/1904.01169
  ☆13Updated 5 years ago
• neale / Adversarial-Autoencoder
  An adversarial autoencoder implementation in pytorch
  ☆83Updated 5 years ago
• shucunt / domain_adaptation
  this project is the code of domain adaptation referenced by unsupervised domain adaptation by backpropagation(http://machinelearning.wust…
  ☆63Updated 7 years ago
• mahdiabavisani / DSRC
  Tensorflow implementation of "Deep sparse representation-based classification"
  ☆44Updated 5 years ago
• popcornell / keras-triplet-center-loss
  Simple Keras implementation of Triplet-Center Loss on the MNIST dataset
  ☆45Updated 5 years ago
• PramuPerera / TransferLearningNovelty
  ☆23Updated 5 years ago
• EMRResearch / ExtremeValueMachine
  This is an implementation of the Extreme Value Machine by Rudd et al., with minor changes from the original work.
  ☆50Updated 6 years ago
• mil-tokyo / bc_learning_image
  Chainer implementation of between-class learning for Image classification https://arxiv.org/abs/1711.10284
  ☆63Updated 7 years ago
• poppinace / TAISL
  (ICCV'17) When Unsupervised Domain Adaptation Meets Tensor Representations
  ☆58Updated 7 years ago
• ricvolpi / adversarial-feature-augmentation
  Code for the paper "Adversarial Feature Augmentation for Unsupervised Domain Adaptation", CVPR 2018
  ☆130Updated 6 years ago
• Mid-Push / Open_set_domain_adaptation
  Tensorflow Implementation of open set domain adaptation by backpropagation
  ☆29Updated 6 years ago
• nghia9691 / OSDN
  Try Openmax with MNIST Fashion dataset
  ☆11Updated 6 years ago
• hezhangsprinter / SROSR
  This is the implementation of 'Sparse Representation based Open-set Recognition (T-PAMI)
  ☆23Updated 8 years ago
• raj-shah / BayesianCNN
  Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference, Gal et al. 2015
  ☆36Updated 6 years ago
• A-bone1 / JDDA
  Code for the paper "Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation" (AAAI-2019)
  ☆42Updated 6 years ago
• xyh2016 / MTLF
  A Unified Framework for Metric Transfer Learning
  ☆17Updated 7 years ago
• vuptran / sesemi
  supervised and semi-supervised image classification with self-supervision (Keras)
  ☆45Updated 3 years ago
• patrickschlachter / osr-using-ics
  Open-Set Recognition Using Intra-Class Splitting
  ☆17Updated 5 years ago
• asahi417 / DeepDomainAdaptation
  Tensorflow deep learning based domain adaptation model implementations with experiment of estimate MNIST by SVHN data (SVHN -> MNIST): DA…
  ☆27Updated 5 years ago
• MSiam / Few-Shot-Learning
  ☆100Updated 4 years ago
• JingWang18 / Discriminative-Feature-Alignment
  Discriminative Feature Alignment for Unsupervised Domain Adaptation
  ☆68Updated 3 years ago