jadhavhninad / Sparse_autoencoderLinks
Implementing sparse autoencoder for MNIST data classification using keras and tensorflow
☆23Updated 6 years ago
Alternatives and similar repositories for Sparse_autoencoder
Users that are interested in Sparse_autoencoder are comparing it to the libraries listed below
Sorting:
- AutoEncoder implements by keras. Including AE, DAE, DAE_CNN, VAE, VAE_CNN, CVAE, Sparse AE, Stacked DAE.☆41Updated 5 years ago
- ☆12Updated 5 years ago
- Ant colony optimization (aco) algorithm is used to select the features of hyperspectral remote sensing image bands,And then use Support V…☆37Updated 6 years ago
- locally linear embedding algorithm code write by matlab☆32Updated 8 years ago
- Autoencoders - a deep neural network was used for feature extraction followed by clustering of the "Cancer" dataset using k-means techni…☆13Updated 7 years ago
- A deep one-class classification based method for the task of high-dimensional anomaly detection for large-scale applications.☆10Updated 7 years ago
- Autoencoders in PyTorch☆101Updated 5 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☆42Updated 8 years ago
- For hyperspectral images (HSIs), it is a challenging task to select discriminative bands due to the lack of labeled samples and complex n…☆13Updated 4 years ago
- Online Semi-supervised Learning + Online Heterogeneous Transfer Learning☆29Updated 9 years ago
- Unsupervised Spatial-Spectral Feature Learning by 3-Dimensional Convolutional Autoencoder for Hyperspectral Classification☆93Updated 4 years ago
- Learn and analyse hyperspectral data of leafs with GAN☆11Updated 6 years ago
- Theano implementation of Cost-Sensitive Deep Neural Networks☆26Updated 7 years ago
- Stacked Denoising AutoEncoder☆78Updated 5 years ago
- This is an App developed in Python to implement the algorithm for minimum redundancy maximum ralevance. The formulation was based on a re…☆13Updated 7 years ago
- Unsupervised Deep Learning for Temporal Multi-Omics☆25Updated 6 years ago
- Prognostically Relevant Subtypes and Survival Prediction for Breast Cancer Based on Multimodal Genomics Data☆29Updated 5 years ago
- Medical Imaging, Denoising Autoencoder, Sparse Denoising Autoencoder (SDAE) End-to-end and Layer Wise Pretraining☆47Updated 6 years ago
- nirmalsenthilnathan / Open-Set-Domain-Adaptation-for-Hyperspectral-Image-Classification-Using-Generative-Adversarial-NetwoThe Noval approach for dealing with hyperspectral images with the help of openset domain adaptatin and generative adversarial network.☆36Updated 5 years ago
- Pytorch implementation of stacked denoising autoencoder☆26Updated 5 years ago
- A convolutional autoencoder for feature extraction, with an SVM for image classification.☆10Updated 6 years ago
- Keras Implementation of adverserial autoencoder (AAE)☆56Updated 6 years ago
- 支持向量机，Support Vector Machine(SVM)，多类分类☆31Updated 8 years ago
- PyTorch implementation of paper: adVAE: a Self-adversarial Variational Autoencoder with Gaussian Anomaly Prior Knowledge for Anomaly Dete…☆34Updated 4 years ago
- Spatial and Channel Attention in CNN Architectures for Image Classification task☆27Updated 4 years ago
- Weighted LSSVM for regression☆38Updated 6 years ago
- Stacked denoising convolutional autoencoder written in Pytorch for some experiments.☆131Updated last year
- Convolutional Neural Network for Hyper Spectral Images PyTorch☆7Updated 6 years ago
- The code implementation of our paper "Deep Hashing Neural Networks for Hyperspectral Image Feature Extraction", GRSL, 2019☆16Updated 3 years ago
- Applying generative adversarial networks for anomaly detection in hyperspectral remote sensing imagery☆20Updated 7 years ago