Alternatives and similar repositories for semi-supervised-learning

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

• snehchav / Semi-Supervised-Image-Classification
  The code written on the understanding of the paper: "Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabel…
  ☆18Updated 7 years ago
• wzell / mann
  Unsupervised Domain Adaptation with Moment Alignment Neural Networks (Keras)
  ☆60Updated last year
• ljain2 / libsvm-openset
  ☆51Updated 10 years ago
• xyh2016 / MTLF
  A Unified Framework for Metric Transfer Learning
  ☆17Updated 7 years ago
• RomainSabathe / dagmm
  A Pytorch implementation of the paper `Deep Autoencoding Gaussian Mixture Model For Unsupervised Anomaly Detection` by Zong et al.
  ☆70Updated 5 years ago
• hellojing89 / weightedGANpartialDA
  ☆16Updated 6 years ago
• xdxuyang / Deep-Spectral-Clustering-using-Dual-Autoencoder-Network
  ☆56Updated 5 years ago
• Heliot7 / open-set-da
  Open set domain adaptation
  ☆86Updated 5 years ago
• golmschenk / sr-gan
  Semi-supervised Regression GAN
  ☆39Updated 5 years ago
• hellowangqian / domain-adaptation-capls
  Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling
  ☆58Updated 3 years ago
• michaal94 / Semisupervised-Clustering
  PyTorch semi-supervised clustering with Convolutional Autoencoders
  ☆24Updated 6 years ago
• asahi417 / DeepDomainAdaptation
  Tensorflow deep learning based domain adaptation model implementations with experiment of estimate MNIST by SVHN data (SVHN -> MNIST): DA…
  ☆26Updated 6 years ago
• harshitbansal05 / Deep-Coral-Tf
  A Tensorflow implementation of paper, Deep CORAL: Correlation Alignment for Deep Domain Adaptation
  ☆41Updated 6 years ago
• michaal94 / torch_DCEC
  Pytorch Deep Clustering with Convolutional Autoencoders implementation
  ☆105Updated 4 years ago
• dweiiiiiiiiii / Clustering
  ☆20Updated 6 years ago
• ermongroup / ssdkl
  Code that accompanies the paper Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance
  ☆76Updated 6 years ago
• poppinace / TAISL
  (ICCV'17) When Unsupervised Domain Adaptation Meets Tensor Representations
  ☆59Updated 7 years ago
• patrickschlachter / osr-using-ics
  Open-Set Recognition Using Intra-Class Splitting
  ☆17Updated 5 years ago
• Isilendil / OSTL
  Online Semi-supervised Learning + Online Heterogeneous Transfer Learning
  ☆29Updated 9 years ago
• viggin / domain-adaptation-toolbox
  Wrappers and implementations of several domain adaptation / transfer learning / semi-supervised learning algorithms
  ☆168Updated 9 years ago
• animebing / mnist_tsne
  t-sne visualization of mnist images when feature is represented by raw pixels and cnn learned feature
  ☆64Updated 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 6 years ago
• ldeecke / vae-torch
  Variational autoencoder for anomaly detection (in PyTorch).
  ☆48Updated 5 years ago
• samotiian / CCSA
  "Unified Deep Supervised Domain Adaptation and Generalization" (ICCV 2017)
  ☆104Updated 5 years ago
• PramuPerera / TransferLearningNovelty
  ☆23Updated 5 years ago
• MaziarMF / deep-k-means
  ☆96Updated 6 years ago
• thuml / SAN
  Code release for "Partial Transfer Learning with Selective Adversarial Networks" (CVPR 2018)
  ☆69Updated 6 years ago
• SSARCandy / DeepCORAL
  🧠 A PyTorch implementation of 'Deep CORAL: Correlation Alignment for Deep Domain Adaptation.', ECCV 2016
  ☆231Updated 4 years ago
• xinario / catgan_pytorch
  Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks
  ☆61Updated 7 years ago
• tijiang13 / Semi-supervised-VAE
  ☆25Updated 6 years ago