pren1 / keras-MMD-Variational-AutoencoderLinks
Keras version of the MMD-Variational-Autoencoder
☆10Updated 5 years ago
Alternatives and similar repositories for keras-MMD-Variational-Autoencoder
Users that are interested in keras-MMD-Variational-Autoencoder are comparing it to the libraries listed below
Sorting:
- Reimplementation of paper "Variational Graph Auto-Encoders", adapted from https://github.com/limaosen0/Variational-Graph-Auto-Encoders/, …☆12Updated 5 years ago
- Self-Adaptive Multi-Prototype-based Competitive Learning☆16Updated 5 years ago
- Linxiao Yang, Ngai-Man Cheung, Jiaying Li, and Jun Fang, "Deep Clustering by Gaussian Mixture Variational Autoencoders with Graph Embeddi…☆52Updated 5 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
- PyTorch implementation of SDAE (Stacked Denoising AutoEncoder)☆124Updated 4 years ago
- Keras Implementation of "Towards K-means-friendly Spaces: Simultaneous Deep Learning and Clustering"☆11Updated 5 years ago
- ☆118Updated 3 years ago
- Fault-Attention Generative Probabilistic Adversarial Autoencoder for Machine Anomaly Detection☆18Updated 4 years ago
- pytorch implementation of stacked denoising autoencoder☆20Updated 7 years ago
- Stacked Denoising AutoEncoder☆79Updated 5 years ago
- Codebase for "SGAIN, WSGAIN-CP and WSGAIN-GP: Novel GAN Methods for Missing Data Imputation"☆16Updated 3 years ago
- A Multi-Kernel domain adaptation method for unsupervised transfer learning on cross-source and cross-region remote sensing data classifi…☆12Updated 5 years ago
- Unsupervised Deep Learning for Temporal Multi-Omics☆25Updated 6 years ago
- My PyTorch implementation of Deep SVDD for Anomaly Detection☆30Updated 5 years ago
- Library of transfer learners and domain-adaptive classifiers.☆92Updated 6 years ago
- A comparison of various dimensionality reduction techniques from scikit-learn. Including PCA, t-SNE, LLE, Hessian LLE, Modified LLE, Isom…☆14Updated 6 years ago
- AutoEncoder implements by keras. Including AE, DAE, DAE_CNN, VAE, VAE_CNN, CVAE, Sparse AE, Stacked DAE.☆41Updated 5 years ago
- Feature selection: Minimal Redundancy and Maximal Relevance (mRMR)☆24Updated 10 years ago
- Generalized Canonical Correlation Analysis☆51Updated 7 years ago
- Tensorflow implementation for Deep Cognitive Subspace Clustering (DeepCogSC)☆11Updated 5 years ago
- Cross Domain Structure Preserving Projection for Heterogeneous Domain Adaptation☆15Updated 2 years ago
- Several state-of-the-art fuzzy clustering algorithms, including Fuzzy c-means clustering, fuzzy subspace clustering and maximum entropy c…☆32Updated 5 years ago
- Contrastive Adversarial Learning for Multi-Source Time Series Domain Adaptation☆28Updated 3 years ago
- Self-supervised semi-supervised nonnegative matrix factorization for data clustering☆15Updated 2 years ago
- Deep Clustering Analysis via Dual Variational Autoencoder with Spherical Latent Embeddings powered by@torch☆12Updated 3 years ago
- Partial Multi View Clustering via NMF☆34Updated 6 years ago
- Convex Nonnegative Matrix Factorization with Adaptive Graph for Unsupervised Feature Selection☆16Updated 2 years ago
- A PaddlePaddle implementation of 'Deep Subdomain Adaptation Network for Image Classification'☆18Updated 3 years ago
- Code for discriminative joint probability MMD (DJP-MMD)☆45Updated 3 years ago
- 利用深度学习自编码器进行故障诊断的程序☆11Updated 7 years ago