GuHongyang / LapSVM-python
Laplacian Support Vector Machines
☆20Updated 5 years ago
Alternatives and similar repositories for LapSVM-python:
Users that are interested in LapSVM-python are comparing it to the libraries listed below
- The code written on the understanding of the paper: "Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabel…☆18Updated 6 years ago
- The code of the AAAI-19 paper "AFS: An Attention-based mechanism for Supervised Feature Selection".☆44Updated 5 years ago
- Linxiao Yang, Ngai-Man Cheung, Jiaying Li, and Jun Fang, "Deep Clustering by Gaussian Mixture Variational Autoencoders with Graph Embeddi…☆50Updated 4 years ago
- Code that accompanies the paper Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance☆74Updated 6 years ago
- Implementation of Co-training Regressors (COREG) semi-supervised regression algorithm from Zhou and Li, 2005.☆59Updated 6 years ago
- Pytorch implementation of Improved Deep Embedded Clustering☆101Updated 6 years ago
- Our implementations of the Multi-class Imbalance learning algorithms (for the KBS paper)☆46Updated 5 years ago
- ☆52Updated 6 years ago
- ☆159Updated 7 years ago
- A deep clustering algorithm. Code to reproduce results for our paper N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of …☆131Updated last year
- ☆41Updated last year
- The python implementation of tri-triaing☆50Updated 5 years ago
- Try to realize the algorithm "support tensor machine"☆13Updated 2 years ago
- A Pytorch implementation of the paper `Deep Autoencoding Gaussian Mixture Model For Unsupervised Anomaly Detection` by Zong et al.☆69Updated 4 years ago
- PyTorch implementation of paper: adVAE: a Self-adversarial Variational Autoencoder with Gaussian Anomaly Prior Knowledge for Anomaly Dete…☆33Updated 3 years ago
- PyTorch implementation of SDAE (Stacked Denoising AutoEncoder)☆124Updated 4 years ago
- Multi-variable LSTM recurrent neural networks for prediction and interpretation of multi-variable time series☆47Updated 3 years ago
- [ICML2020] "Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training" by Xuxi Chen, Wuyang Chen, Tianlong Chen, Ye Yuan, Chen Gon…☆68Updated 3 years ago
- Graph Imputation Neural Network☆79Updated 4 years ago
- Python (PyTorch) realization of Deep Feature Selection (Model, Algorithm)☆17Updated 4 years ago
- multilabel-learn: Multilabel-Classification Algorithms☆37Updated 4 years ago
- Dealing with class imbalance problem in machine learning. Synthetic oversampling(SMOTE, ADASYN).☆39Updated 6 years ago
- Stacked Denoising AutoEncoder☆76Updated 5 years ago
- Implementation of AAAI 2016 paper Efficient Learning of Timeseries Shapelets☆14Updated 5 years ago
- Tensorflow implementation of "Deep Multimodal Subspace Clustering Networks"☆70Updated 5 years ago
- ☆10Updated 5 years ago
- Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders (IJCAI 2018)☆32Updated 5 years ago
- A collection of resources for graph-based semi-supervised learning (GSSL).☆18Updated 3 years ago
- ☆94Updated 6 years ago
- Demonstration code for missing data imputation using Variational Autoencoders (VAE)☆24Updated 5 years ago