Alternatives and similar repositories for semi-supervised-gan:

Users that are interested in semi-supervised-gan are comparing it to the libraries listed below

• nejlag / Semi-Supervised-Learning-GAN
  Semi-supervised Learning GAN
  ☆80Updated 7 years ago
• Abhipanda4 / Sparse-Autoencoders
  Sparse Autoencoders using FashionMNIST dataset
  ☆35Updated 6 years ago
• animebing / mnist_tsne
  t-sne visualization of mnist images when feature is represented by raw pixels and cnn learned feature
  ☆63Updated 6 years ago
• neale / Adversarial-Autoencoder
  An adversarial autoencoder implementation in pytorch
  ☆83Updated 5 years ago
• yanzhicong / VAE-GAN
  Implemention of "CVAE-GAN: Fine-Grained Image Generation through Asymmetric Training"
  ☆45Updated 6 years ago
• xinario / catgan_pytorch
  Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks
  ☆60Updated 7 years ago
• bruno-31 / gan-manifold-reg
  This is the code we used in our paper Manifold regularization with GANs for semi-supervised learning
  ☆24Updated 5 years ago
• SchafferZhang / DADA
  code for "DADA: Deep Adversarial Data Augmentation for Extremely Low Data Regime Classification"
  ☆50Updated 6 years ago
• wanglouis49 / pytorch-autoencoders
  Implementation of autoencoders in PyTorch
  ☆57Updated 6 years ago
• vuptran / sesemi
  supervised and semi-supervised image classification with self-supervision (Keras)
  ☆45Updated 3 years ago
• abhiskk / ladder
  Implementation of Ladder Network in PyTorch.
  ☆45Updated 7 years ago
• thuml / MADA
  Code release for "Multi-Adversarial Domain Adaptation" (AAAI 2018)
  ☆57Updated 6 years ago
• samotiian / CCSA
  "Unified Deep Supervised Domain Adaptation and Generalization" (ICCV 2017)
  ☆102Updated 4 years ago
• yanqi1811 / domain-adaptation
  ☆22Updated 6 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
• yanbeic / semi-memory
  Tensorflow Implementation on Paper [ECCV2018]Semi-Supervised Deep Learning with Memory
  ☆47Updated 5 years ago
• eli5168 / improved_gan_pytorch
  Pytorch implementation of semi-supervised DCGAN based on "Improved Techniques for Training GANs"
  ☆42Updated 2 years ago
• Heliot7 / open-set-da
  Open set domain adaptation
  ☆86Updated 5 years ago
• Mid-Push / Open_set_domain_adaptation
  Tensorflow Implementation of open set domain adaptation by backpropagation
  ☆29Updated 5 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
• LailaMB / Siamese-GANs
  Code for the paper "Siamese-GAN: Learning Invariant Representations for Aerial Vehicle Image Categorization"
  ☆13Updated 6 years ago
• corenel / pytorch-atda
  A PyTorch implementation for Asymmetric Tri-training for Unsupervised Domain Adaptation
  ☆44Updated 7 years ago
• ToniCreswell / attribute-cVAEGAN
  Conditional Autoencoders with Adversarial Information Factorization
  ☆72Updated 6 years ago
• michaal94 / Semisupervised-Clustering
  PyTorch semi-supervised clustering with Convolutional Autoencoders
  ☆24Updated 6 years ago
• shilpar27 / Label-embeddings-in-image-classification
  Convolutional Neural Networks (CNNs) are being widely used for various tasks in Computer Vision. We focus on the task of image classifica…
  ☆25Updated 7 years ago
• alimirzaei / adverserial-autoencoder-keras
  Keras Implementation of adverserial autoencoder (AAE)
  ☆56Updated 5 years ago
• yogeshbalaji / Generate_To_Adapt
  Implementation of "Generate To Adapt: Aligning Domains using Generative Adversarial Networks"
  ☆142Updated 5 years ago
• hellojing89 / weightedGANpartialDA
  ☆16Updated 6 years ago
• naoto0804 / pytorch-domain-adaptation
  Unofficial pytorch implementation of algorithms for domain adaptation
  ☆27Updated 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