HugoooPerrin / semi-supervised-learning
Implementation of graph-based semi-supervised algorithms
☆10Updated 5 years ago
Related projects: ⓘ
- Unsupervised Domain Adaptation with Moment Alignment Neural Networks (Keras)☆60Updated 11 months ago
- Code that accompanies the paper Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance☆74Updated 5 years ago
- A Unified Framework for Metric Transfer Learning☆17Updated 6 years ago
- Online Semi-supervised Learning + Online Heterogeneous Transfer Learning☆27Updated 9 years ago
- ☆50Updated 9 years ago
- Tensorflow deep learning based domain adaptation model implementations with experiment of estimate MNIST by SVHN data (SVHN -> MNIST): DA…☆26Updated 5 years ago
- Visual Domain Adaptation with Manifold Embedded Distribution Alignment (ACM MM'18)☆20Updated 5 years ago
- A Keras framework for Adversarial Domain Adaptation☆34Updated 4 years ago
- A simple implementation of domain adversarial training with GAN loss in Keras☆59Updated 6 years ago
- "Unified Deep Supervised Domain Adaptation and Generalization" (ICCV 2017)☆102Updated 4 years ago
- Transfer Learning☆10Updated 6 years ago
- The code written on the understanding of the paper: "Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabel…☆17Updated 6 years ago
- This is the code we used in our paper Manifold regularization with GANs for semi-supervised learning☆24Updated 5 years ago
- A Tensorflow implementation of paper, Deep CORAL: Correlation Alignment for Deep Domain Adaptation☆40Updated 6 years ago
- Minimum redundancy maximum relevance feature selection approach for temporal gene expression data.☆11Updated 6 years ago
- Semi-supervised Regression GAN☆37Updated 4 years ago
- Medical Imaging, Denoising Autoencoder, Sparse Denoising Autoencoder (SDAE) End-to-end and Layer Wise Pretraining☆45Updated 5 years ago
- t-sne visualization of mnist images when feature is represented by raw pixels and cnn learned feature☆62Updated 6 years ago
- The code for the cycle wasserstein regression generative adversarial network model for semi supervised bi-directional regression.☆22Updated 6 years ago
- ☆16Updated 6 years ago
- 用 MATLAB 实现深度学习网络中的 stacked auto-encoder:使用AE variant(de-noising / sparse / contractive AE)进行预训练,用BP算法进行微调☆40Updated 8 years ago
- Variational Adversarial Deep Domain Adaptation implementation (TensorFlow 1.x)☆10Updated 5 years ago
- Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling☆54Updated 2 years ago
- Open-Set Recognition Using Intra-Class Splitting☆17Updated 4 years ago
- (ICCV'17) When Unsupervised Domain Adaptation Meets Tensor Representations☆55Updated 7 years ago
- contains the code for models in the paper Robust, Deep and Inductive Anomaly Detection☆34Updated 7 years ago
- Tensorflow implementation of "Deep sparse representation-based classification"☆43Updated 5 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
- PyTorch semi-supervised clustering with Convolutional Autoencoders☆24Updated 5 years ago
- Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation(AAAI-2019)☆82Updated 4 years ago