qintian0321 / SimpleMKL_pythonLinks
Python implementation of SimpleMKL algorithm for multi-kernel SVM learning
☆11Updated 8 years ago
Alternatives and similar repositories for SimpleMKL_python
Users that are interested in SimpleMKL_python are comparing it to the libraries listed below
Sorting:
- Implementation of the SimpleMKL algorithm (multiple kernel SVM)☆20Updated 10 years ago
- A Multi-Kernel domain adaptation method for unsupervised transfer learning on cross-source and cross-region remote sensing data classifi…☆12Updated 6 years ago
- Online Semi-supervised Learning + Online Heterogeneous Transfer Learning☆29Updated 10 years ago
- Wrappers and implementations of several domain adaptation / transfer learning / semi-supervised learning algorithms☆172Updated 9 years ago
- Tensorflow deep learning based domain adaptation model implementations with experiment of estimate MNIST by SVHN data (SVHN -> MNIST): DA…☆26Updated 6 years ago
- Multi-view Linear Discriminant Analysis Network for Cross-modal Retrieval and Cross-view Recognition (Keras&Theano Code)☆18Updated 6 years ago
- Transfer Learning☆10Updated 7 years ago
- A Unified Framework for Metric Transfer Learning☆17Updated 8 years ago
- ☆12Updated 6 years ago
- Multiple Source Domain Adaptation with Adversarial Learning☆22Updated 5 years ago
- ☆15Updated 6 years ago
- Implementing sparse autoencoder for MNIST data classification using keras and tensorflow☆23Updated 7 years ago
- Deep domain adaptation networks (DDAN) library for Python with TensorFlow.☆75Updated 6 years ago
- Scripts for the paper: 2DPCA with L1-norm for simultaneously robust and sparse modelling.☆17Updated 6 years ago
- Unsupervised Domain Adaptation with Moment Alignment Neural Networks (Keras)☆60Updated 2 years ago
- Visual Domain Adaptation with Manifold Embedded Distribution Alignment (ACM MM'18)☆22Updated 6 years ago
- BLS Code☆132Updated 7 years ago
- (ICCV'17) When Unsupervised Domain Adaptation Meets Tensor Representations☆60Updated 8 years ago
- ☆26Updated 8 years ago
- The code written on the understanding of the paper: "Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabel…☆18Updated 7 years ago
- Transfer Learning Toolkit for Primary Researchers☆106Updated 4 years ago
- A Keras framework for Adversarial Domain Adaptation☆34Updated 5 years ago
- Stacked denoising convolutional autoencoder written in Pytorch for some experiments.☆135Updated 2 years ago
- The python implementation of tri-triaing☆51Updated 6 years ago
- A convolutional autoencoder for feature extraction, with an SVM for image classification.☆10Updated 6 years ago
- Minimum redundancy maximum relevance feature selection approach for temporal gene expression data.☆11Updated 7 years ago
- Clustering Analysis via Deep Generative Models With Mixture Models powered by@pytorch☆14Updated 3 years ago
- Co-Training for Image Classification☆11Updated 6 years ago
- A Pytorch implementation of the paper `Deep Autoencoding Gaussian Mixture Model For Unsupervised Anomaly Detection` by Zong et al.☆69Updated 5 years ago
- Theano implementation of Cost-Sensitive Deep Neural Networks☆26Updated 7 years ago