jadhavhninad / Sparse_autoencoder
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
- AutoEncoder implements by keras. Including AE, DAE, DAE_CNN, VAE, VAE_CNN, CVAE, Sparse AE, Stacked DAE.☆41Updated 5 years ago
- Stacked Denoising AutoEncoder☆77Updated 5 years ago
- A convolutional autoencoder for feature extraction, with an SVM for image classification.☆11Updated 6 years ago
- Implementation of the stacked denoising autoencoder in Tensorflow☆203Updated 6 years ago
- ☆54Updated 5 years ago
- Keras Implementation of adverserial autoencoder (AAE)☆56Updated 6 years ago
- Pytorch implementation of stacked denoising autoencoder☆26Updated 5 years ago
- Medical Imaging, Denoising Autoencoder, Sparse Denoising Autoencoder (SDAE) End-to-end and Layer Wise Pretraining☆47Updated 6 years ago
- locally linear embedding algorithm code write by matlab☆32Updated 8 years ago
- Autoencoders in PyTorch☆100Updated 5 years ago
- 卷积神经网络提取特征并用于SVM//www.cnblogs.com/chuxiuhong/p/6132814.html☆15Updated 6 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
- Theano implementation of Cost-Sensitive Deep Neural Networks☆26Updated 6 years ago
- PyTorch implementation of paper: adVAE: a Self-adversarial Variational Autoencoder with Gaussian Anomaly Prior Knowledge for Anomaly Dete…☆34Updated 4 years ago
- Tensorflow deep learning based domain adaptation model implementations with experiment of estimate MNIST by SVHN data (SVHN -> MNIST): DA…☆27Updated 6 years ago
- Python implementation of SimpleMKL algorithm for multi-kernel SVM learning☆11Updated 7 years ago
- 支持向量机，Support Vector Machine(SVM)，多类分类☆31Updated 8 years ago
- Unsupervised Spatial-Spectral Feature Learning by 3-Dimensional Convolutional Autoencoder for Hyperspectral Classification☆91Updated 4 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.☆35Updated 4 years ago
- Repository for the ablation study of "Long Short-Term Memory Fully Convolutional Networks for Time Series Classification"☆54Updated 6 years ago
- Online Semi-supervised Learning + Online Heterogeneous Transfer Learning☆28Updated 9 years ago
- Data augmentation using Conditional Generative Adversarial Networks (cGAN)☆19Updated last year
- 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
- GRU-FCN model for univariate time series classification☆26Updated 5 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
- Tensorflow implementation of "Deep sparse representation-based classification"☆44Updated 5 years ago
- This repository has implementation and tutorial for Deep Belief Network☆102Updated 6 years ago
- Project is based on the paper "Early classification on multivariate time series". Author Guoliang He, Yong Duan, Rong Peng, Xiaoyuan Jing…☆9Updated 2 years ago
- Convolutional Neural Network for Hyper Spectral Images PyTorch☆7Updated 6 years ago
- CBAM(Convolutional Block Attention Module) implementation on TensowFlow2.0☆75Updated 4 years ago