HugoooPerrin / semi-supervised-learning
Implementation of graph-based semi-supervised algorithms
☆10Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for semi-supervised-learning
- The code written on the understanding of the paper: "Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabel…☆17Updated 6 years ago
- ☆51Updated 9 years ago
- Code that accompanies the paper Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance☆74Updated 5 years ago
- Unsupervised Domain Adaptation with Moment Alignment Neural Networks (Keras)☆60Updated last year
- Tensorflow deep learning based domain adaptation model implementations with experiment of estimate MNIST by SVHN data (SVHN -> MNIST): DA…☆26Updated 5 years ago
- Online Semi-supervised Learning + Online Heterogeneous Transfer Learning☆28Updated 9 years ago
- "Unified Deep Supervised Domain Adaptation and Generalization" (ICCV 2017)☆102Updated 4 years ago
- Code and data for Paper - Towards Open World Recognition - CVPR 2015☆21Updated 6 years ago
- Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling☆54Updated 2 years ago
- Theano implementation of Cost-Sensitive Deep Neural Networks☆26Updated 6 years ago
- A Tensorflow implementation of paper, Deep CORAL: Correlation Alignment for Deep Domain Adaptation☆40Updated 6 years ago
- Wrappers and implementations of several domain adaptation / transfer learning / semi-supervised learning algorithms☆166Updated 8 years ago
- A simple implementation of domain adversarial training with GAN loss in Keras☆59Updated 6 years ago
- A Pytorch implementation of the paper `Deep Autoencoding Gaussian Mixture Model For Unsupervised Anomaly Detection` by Zong et al.☆68Updated 4 years ago
- This is the implementation of 'Sparse Representation based Open-set Recognition (T-PAMI)☆23Updated 7 years ago
- ☆16Updated 6 years ago
- Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation（AAAI-2019）☆81Updated 4 years ago
- Open set domain adaptation☆86Updated 5 years ago
- ☆20Updated 6 years ago
- Dealing with class imbalance problem in machine learning. Synthetic oversampling(SMOTE, ADASYN).☆38Updated 6 years ago
- This is an implementation of the Extreme Value Machine by Rudd et al., with minor changes from the original work.☆50Updated 6 years ago
- PyTorch implementation of paper: adVAE: a Self-adversarial Variational Autoencoder with Gaussian Anomaly Prior Knowledge for Anomaly Dete…☆33Updated 3 years ago
- Co-Training for Image Classification☆11Updated 5 years ago
- Open-set Recognition with Adversarial Autoencoders☆37Updated 5 years ago
- t-sne visualization of mnist images when feature is represented by raw pixels and cnn learned feature☆63Updated 6 years ago
- A Keras framework for Adversarial Domain Adaptation☆34Updated 4 years ago
- Keras Implementation of adverserial autoencoder (AAE)☆56Updated 5 years ago
- Implementation of Co-training Regressors (COREG) semi-supervised regression algorithm from Zhou and Li, 2005.☆58Updated 5 years ago
- PyTorch semi-supervised clustering with Convolutional Autoencoders☆24Updated 5 years ago
- Adversarial autoencoder (basic/semi-supervised/supervised)☆26Updated 2 years ago