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
Sorting:
- The code written on the understanding of the paper: "Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabel…☆18Updated 7 years ago
- Linxiao Yang, Ngai-Man Cheung, Jiaying Li, and Jun Fang, "Deep Clustering by Gaussian Mixture Variational Autoencoders with Graph Embeddi…☆52Updated 4 years ago
- The code of the AAAI-19 paper "AFS: An Attention-based mechanism for Supervised Feature Selection".☆45Updated 6 years ago
- Python (PyTorch) realization of Deep Feature Selection (Model, Algorithm)☆17Updated 4 years ago
- Demonstration code for missing data imputation using Variational Autoencoders (VAE)☆23Updated 6 years ago
- PyTorch implementation of the paper [Semi-Supervised Learning With GANs: Revisiting Manifold Regularization].☆20Updated 4 years ago
- ☆52Updated 6 years ago
- Try to realize the algorithm "support tensor machine"☆13Updated 3 years ago
- The python implementation of tri-triaing☆50Updated 5 years ago
- Implementation of Few-shot Domain Adaptation by Causal Mechanism Transfer (ICML 2020)☆43Updated 2 years ago
- A deep clustering algorithm. Code to reproduce results for our paper N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of …☆132Updated last year
- Implementation of "Deep Fuzzy K-Means with Adaptive Loss and Entropy Regularization", IEEE Transactions on Fuzzy Systems.☆34Updated 3 years ago
- Graph Imputation Neural Network☆79Updated 5 years ago
- pytorch implementation of stacked denoising autoencoder☆20Updated 7 years ago
- Learning and Recording☆34Updated 5 years ago
- A Python library for Three Way Decision and Rough Set Theory☆19Updated 3 years ago
- AutoEncoder implements by keras. Including AE, DAE, DAE_CNN, VAE, VAE_CNN, CVAE, Sparse AE, Stacked DAE.☆41Updated 5 years ago
- Manifold Regularized Discriminative Feature Selection for Multi-label Learning (PR'19)☆19Updated 5 years ago
- multilabel-learn: Multilabel-Classification Algorithms☆36Updated 4 years ago
- This repository reimplemented "MC Dropout" by tensorflow 2.0 Eager Extension.☆18Updated 2 years ago
- Implementation of graph-based semi-supervised algorithms☆11Updated 6 years ago
- A Pytorch implementation of missing data imputation using optimal transport.☆100Updated 3 years ago
- Code that accompanies the paper Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance☆76Updated 6 years ago
- Implementation of Co-training Regressors (COREG) semi-supervised regression algorithm from Zhou and Li, 2005.☆60Updated 6 years ago
- Github page for: Graph Neural Networks for Multivariate Time Series Regression with Application to Seismic Data☆36Updated last year
- Stacked Denoising AutoEncoder☆77Updated 5 years ago
- Cost-Sensitive Learning / ReSampling / Weighting / Thresholding / BorderlineSMOTE / AdaCost / etc.☆107Updated 4 years ago
- Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders (IJCAI 2018)☆32Updated 6 years ago
- Hierarchical Transfer Component Analysis and Hierarchical Joint Domian Adaption are implemented in this repository.☆20Updated 6 years ago
- Our implementations of the Multi-class Imbalance learning algorithms (for the KBS paper)☆46Updated 6 years ago